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Pradershika Sharma is a tech deals author for Lifehacker.

She has a Master’s flat in English Literature, a B.Ed., and a TESOL certification. She has been penning professionally since 2018, creating merchandise reviews, affiliate articles, and hunt ads for earth clients during operating alongside Rubix Agency and Cognizant. Previously, she spent a twelvemonth instruction English at the younger elevated level.

An avid audience since childhood, Pradershika's idea of extreme sports is staying up to peruse “just one additional chapter.” She lives in India.

October Prime Day deals are making Wi-Fi 7 upgrades considerably small expensive, alongside the TP-Link Archer BE550 dropping to $149.99 from $249.99 on Amazon. For additional on this year's sale, inspect out our extended Prime Day 2026 coverage.

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This tri-band router spreads traffic throughout 2.4GHz, 5GHz, and 6GHz bands, alongside assistance for newer Wi-Fi 7 features including Multi-Link Operation and 320MHz channels. Plus, all five of its ports (one WAN harbor and four LAN ports) run at 2.5Gbps, definition a desktop, a gaming console, and a NAS can all drag multi-gigabit speeds at the identical time. You additionally get a USB 3.0 harbor for plugging in an external drive, alongside the entire item managed through TP-Link's Tether app or a web interface.

As for its performance, it reportedly delivers outstanding top speeds, and its range achievement holds up fine throughout a multi-level house, so you should motionless have adequate bandwidth for ample downloads, 4K streaming, and another demanding tasks happening simultaneously in distinct parts of the home. Its EasyMesh assistance additionally method you can brace it alongside another certified router or extender later. That said, during the BE550 has extremely fine range for a standalone router, it’s not a mesh system, so speeds naturally decrease as you move farther distant or between floors, and you may need that second EasyMesh component following all. Also, its WAN harbor tops out at 2.5Gbps, so highest speeds autumn abbreviated of what a router akin the eero Max 7 can hit, although that lone becomes a issue if your net scheme is faster than 2.5Gbps.

October Prime Day FAQs

When is Prime Day?

October Prime Day is Oct. 6 and runs through Oct. 7. It happens all twelvemonth during October.

Is Prime Day a scam?

No. Prime Day is a lawful online transaction from arguably the biggest and most reputable online retailer in the world.

What goes on transaction on Prime Day?

Since Prime Big Deal Days happens in the fall, you're apt to see additional deals on gaming and indoor gym equipment. Amazon has already announced several of the 35 categories that volition be on sale, including beauty, tech, kitchen, fashion, and home. Some brands Amazon has already mentioned are: Shark, Princess Polly, Soundcore by Anker, UGG, Nest New York, Sony, Tarte, Adidas, and Barefoot Dreams.

October Prime Day is here, and if you're looking for a versatile Android tablet, TCL's NXTPAPER 14, alongside a enormous matte display alongside distinct viewing modes for reading, streaming video, and writing, is 30% off during the sale.

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With a 14.3-inch display, the NXTPAPER 14 power not be as portable as other tablets on the market, but the display itself is the biggest perk. The matte display has a paper-like awareness and three distinct viewing modes: You can toggle from black-and-white Ink Paper Mode to Color Paper Mode (a must for comics) to complete color (for streaming video or using another full-motion apps) alongside the shove of a button. Under harsh, straightforward lighting, it does an notable job of reducing glare and reflections. It additionally has 8GB of RAM, 256GB of storage, and a ample 10,000mAh battery. TCL claims up to 10.8 hours of video playback, although genuine power division existence volition change depending on use.

The tablet comes alongside a folio-style case alongside a magnetic shield that doubles as a stand, a lengthy charging cable, and a pressure-sensitive rechargeable stylus called the T-Pen, which offers 4,096 levels of force sensitivity. Combined alongside the matte texture of the display, the T-Pen creates a distinctive drag that you don’t get whenever using an Apple Pencil on an untreated pane screen. The tablet additionally has a helpful Edge Bar feature: Swipe inward from the border and clasp to disclose a customizable mini dock containing shortcuts and tools. The 14.3-inch display makes these efficiency features particularly useful, giving you adequate area to keep citation material, notes, and another apps apparent at once.

The NXTPAPER 14 isn't a true e-ink device; it remains a backlit LCD, so it won’t provision Kindle-like power division existence or outdoor visibility, but the matte display aims to be easier on your eyes. Its 60Hz refresh charge is additionally small fluid than the screens on many premium tablets, and it lacks a microSD slot to develop the included 256GB of storage. Whether you’re an artist, affection sketching or study comics, need to assessment and sign documents, or merely desire a larger display without all the bells and whistles of a premium tablet, the sizable NXTPAPER 14 is an outstanding multitasking canvas alongside several of the study and penning benefits connected alongside paper-like displays without the restrictions of e-ink.

Amazon October Prime Day FAQ

What period does Prime Day start?

October Prime Day starts Tuesday, October 6, 2026, at 12:00 a.m. PT / 3:00 a.m. ET.

How does Prime Day work?

Prime Day lets Prime Members shop online for thousands of products alongside big discounts. It lone lasts two days, so create certain you inspect out everything we cognize concerning the sale.

Is Prime Day lone for Prime Members?

Yes, you volition need to be a Prime Member to shop the exclusive revenue during Amazon's Prime Big Deal Days. Prime affiliation starts at $14.99 per month.

Pradershika Sharma is a tech deals author for Lifehacker.

She has a Master’s flat in English Literature, a B.Ed., and a TESOL certification. She has been penning professionally since 2018, creating merchandise reviews, affiliate articles, and hunt ads for earth clients during operating alongside Rubix Agency and Cognizant. Previously, she spent a twelvemonth instruction English at the younger elevated level.

An avid audience since childhood, Pradershika's idea of extreme sports is staying up to peruse “just one additional chapter.” She lives in India.

TCL introduced its QM8L lineup before this year, and the 65-inch model has already dropped to $1,077.99 from its $2,499.99 initiate cost for October Prime Day. That’s 57% off a 2026 TV that brings several of TCL’s higher-end display innovation to a example fair below its flagship range. The larger 85- and 98-inch versions are additionally heavily discounted. Now that October Prime Day is here, use our Prime Day deals coverage to provision you a fuller image of what alternatively is discounted.

65-inch TCL QM8L TV

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SEE 0 MORE

The display itself has TCL’s slim “Zero Border” bezel, giving it a clean, minimalist look, but brightness is its additional defining strength—PCMag measured the 65QM8L at 3,504 nits—below TCL’s advertised highest of 6,000 nits, but motionless brilliant adequate to acquire the tv the publication’s archetypal Lab Award for the brightest television it had tested. That flat of brightness should assistance high-dynamic-range highlights remain out and keep the image apparent in a sunlit room, an area anywhere Mini-LED televisions mostly have an advantage complete OLED models. (You can study additional in our guide to the differences between OLED and QLED displays.) TCL pairs that brightness alongside up to 4,000 local dimming zones and Halo Control, which limits the glow about brilliant objects and bring the difference nearer to OLED. CNET was likewise impressed, giving the QM8L an 8.8 out of 10 and naming it the best tv its reviewer had tested in 2026.

Gaming assistance is likewise comprehensive, alongside a native 144Hz refresh rate, changeable refresh rate, and four HDMI 2.1 ports capable of accepting 4K video at 144Hz. Beyond gaming, Dolby Vision and HDR10+ shield movies and streaming, during Google TV brings together your apps and adds Gemini sound controls. As for audio, its Bang & Olufsen audio scheme plant alongside Dolby Atmos and produces improved audio than many built-in TV speakers. While it cannot provision you the profound bass or directional effects of a dedicated surround-sound system, it may motionless be adequate for person who wants to evade adding a soundbar immediately.

October Prime Day FAQs

Is Prime Day formerly a year?

Prime Day happens all summer. Prime Big Deal Days (or October Prime Day) happens all October. Big Spring Sale happens all spring.

Is Prime Day a scam?

No. Prime Day is a lawful online transaction from arguably the biggest and most reputable online retailer in the world.

What goes on transaction on Prime Day?

Since Prime Big Deal Days happens in the fall, you're apt to see additional deals on gaming and indoor gym equipment. Amazon has already announced several of the 35 categories that volition be on sale, including beauty, tech, kitchen, fashion, and home. Some brands Amazon has already mentioned are: Shark, Princess Polly, Soundcore by Anker, UGG, Nest New York, Sony, Tarte, Adidas, and Barefoot Dreams.

Why Query Rewriting Matters for Dataflow

Most databases activity the identical way: a query arrives, the motor builds an implementation plan, scans tables, joins rows, filters, aggregates, and returns the result. Every period the query runs, the activity repeats from scratch. This pull-based example has served relational databases for decades, but it carries an inherent cost: peruse latency is proportional to the complexity of the query and the size of the data it touches.

Readyset takes a basically distinct approach. Instead of re-executing queries on demand, Readyset compiles all query into a dataflow graph — a network of operators (joins, filters, aggregations, projections) that continuously maintains the query's outcome as the underlying data changes. When a row is inserted, updated, or deleted in the upstream database, the alter propagates through the graph, and the cached outcome is incrementally updated. Reads rotate into lookups into a pre-computed materialized view, not complete query executions.

This is the key difference: traditional engines optimize how to execute a query all period it runs. Readyset optimizes once, at cache-creation time, and afterward maintains the outcome incrementally forever. The tradeoff is that the query must be expressed in a form the dataflow motor can compile — and that form is additional restrictive than what SQL allows.

What the Dataflow Engine Requires

SQL is a declarative language. The identical logical query can be written in many equal ways: correlated subqueries, derived tables, CTEs, LATERAL joins, nested aggregations. A traditional optimizer treats these as interchangeable representations and picks the finest implementation scheme despite of syntax.

Readyset's dataflow compiler is not a traditional optimizer. It translates SQL into a directed acyclic chart of streaming operators, anywhere all controller receives changes from its inputs and emits changes to its outputs. This architecture imposes structural constraints that SQL syntax doesn't:

Binary joins alongside equality predicates. Each associate in the dataflow chart connects exactly two inputs via column-equality predicates (a.id = b.id). The motor uses these equalities to keep hash-based associate state. Range predicates, expression-based associate keys, or multi-table ON conditions are not immediately supported.

No correlated execution. In a traditional engine, a correlated subquery runs formerly per external row — a nested-loop pattern. The dataflow chart has no idea of "per external row." Every controller sees the complete stream of changes from its inputs. Correlated subqueries must be rewritten into equal joins that the dataflow can keep incrementally.

Flat associate construction preferred. Derived tables (subqueries in FROM) are supported by the dataflow engine, but alongside a cost: a derived array compiles into a completely materialized intermediate node that cannot be parameterized. Every distinct blend of input data produces a stored result, despite of whether the external query needs it. Inlining the derived array — engaging its FROM items, WHERE filters, and projections into the external query — eliminates this intermediate materialization and lets the motor build parameterized lookups immediately against the basis tables. The rewrite pipeline aggressively inlines derived tables anywhere semantically safe, reserving the materialized form for cases anywhere inlining would alter the query's meaning.

Supported associate types. The motor supports INNER JOIN, LEFT OUTER JOIN , and CROSS JOIN. RIGHT JOIN and FULL OUTER JOIN are not supported since their incremental care in a streaming environment requires tracking deficiency of matches on the two sides — a considerably harder problem.

Aggregation boundaries. GROUP BY and total functions (COUNT, SUM, etc.) compile into stateful operators that keep operating totals. The motor requires that all aggregated query projects at smallest one aggregate-derived expression, and that GROUP BY keys are definitive pillar references (not positional numbers or aliases).

These constraints average that a syntactically valid SQL query — one that PostgreSQL or MySQL would execute without grievance — may not be immediately compilable by Readyset, or may compile into a small productive dataflow chart than necessary. The query rewrite pipeline exists to extend this gap.

The Rewrite Pipeline: Bridging SQL to Dataflow

When a person issues CREATE CACHE for a query, Readyset runs the query through a multi-pass rewrite pipeline that transforms arbitrary SQL into the canonical form the dataflow motor expects. The pipeline is organized into three blocks:

Each continue is semantics-preserving: the rewritten query returns the identical outcome as the first for all imaginable data. The passes build on all another — Block A normalizes the SQL into a canonical form that Block B's transformations can reliably run on, and Block C cleans up artifacts remaining by Block B.

Block A: Making SQL Canonical

Before any profound transformation can happen, the query must be in a predictable shape. Block A handles this:

• Schema resolution binds array and pillar names to the genuine schema metadata Readyset has replicated from the upstream database. This is essential for afterward passes that need to cognize chief keys, distinctive constraints, and pillar types.
• Star expansion replaces SELECT * alongside the definitive pillar list. Every downstream continue expects to see named columns, not wildcards.
• Column qualification ensures all pillar citation is prefixed alongside its array name (id becomes t.id). This prevents ambiguity whenever multiple tables have columns alongside the identical name.
• USING desugaring converts JOIN ... USING(id) into JOIN ... ON (a.id = b.id). The dataflow motor plant alongside ON predicates, not USING clauses.

After Block A, the query is completely resolved, qualified, and desugared — a spotless basis for the transformations that follow.

Block B: The Heavy Lifting

Block B is anywhere the genuine activity happens. These passes change SQL constructs that the dataflow motor cannot grip into equal constructs that it can. The ordering matters — all continue prepares the dirt for the next.

Array Constructor Rewrite

The archetypal Block B pass, and PostgreSQL-specific. PostgreSQL's ARRAY(SELECT ...) constructor produces an gathering value from a subquery's rows — a per-outer-row scalar aggregation form the dataflow motor has no straightforward controller for. The pipeline rewrites all event into a LATERAL LEFT JOIN whose build wraps the first subquery in array_agg(...), alongside a COALESCE(..., ARRAY[]) on the external flank so bare subqueries output an bare gathering fairly than NULL. ORDER BY and DISTINCT inner the constructor are copied into the array_agg call (required for correctness whenever the subquery additionally has LIMIT/Top-K). By operating first, this continue turns a SQL build the afterward passes wouldn't acknowledge into a LATERAL associate they already cognize how to handle.

 SELECT u.name, ARRAY(SELECT p.title FROM posts p WHERE p.user_id = u.id) AS post_titles FROM users u SELECT u.name, COALESCE(array_subq.agg_result, ARRAY[]) AS post_titles FROM users u LEFT JOIN LATERAL ( SELECT array_agg(inner_subq.title) AS agg_result FROM (SELECT p.title FROM posts p WHERE p.user_id = u.id) inner_subq ) array_subq ON TRUE 

Redundant Join Elimination

Queries generated by ORMs frequently merge redundant self-joins — the identical array joined to itself on its chief key, alongside all projected columns coming from one side. The pipeline detects and eliminates these early, reducing the associate chart complexity before the heavier transformations that follow.

Left-Spine Hoisting

Before decorrelating subqueries, the pipeline attempts to inline the leftmost derived array in FROM — but lone at the top flat of the query. This is the one stance anywhere a Top-K form (ORDER BY ... LIMIT) is most valuable: at the top level, the LIMIT can be parameterized (e.g., LIMIT ?) and the dataflow compiler can deploy a native Top-K node — a streaming controller purpose-built for maintaining the top N rows incrementally. If the subquery were remaining nested and processed afterward by the broad decorrelation pass, the Top-K would be replaced alongside a ROW_NUMBER() based display — functionally accurate but small efficient, and alongside the LIMIT no longer parameterizable.

 SELECT sq.id, sq.name, sq.score FROM (SELECT id, name, mark FROM products ORDER BY mark DESC LIMIT ?) AS sq SELECT id, name, score FROM products ORDER BY mark DESC LIMIT ? 

With the ORDER BY and LIMIT at the top level, the dataflow compiler recognizes the Top-K form and deploys a native streaming operator. The LIMIT remains a indicator (?), so a sole cached dataflow chart serves all LIMIT 10, LIMIT 50, LIMIT 1000 variant. Column rebinding, ORDER BY rewriting, and LIMIT/OFFSET construction are all handled by a shared inlining API reused by all inlining location in the pipeline.

Subquery Decorrelation

The most complex transformation in the pipeline, and the logic the preceding passes be — they prepared the query construction so decorrelation can see and run on all correlated references. Consider:

SELECT o.id, o.total FROM orders o WHERE o.total > (SELECT AVG(total) FROM orders WHERE area = o.region) 

The subquery references o.region from the external query — it's correlated. A traditional motor would execute the subquery formerly per external row. Readyset's dataflow has no per-row implementation model, so the pipeline rewrites this into a join:

SELECT o.id, o.total FROM orders o INNER JOIN ( SELECT region, AVG(total) AS avg_total FROM orders GROUP BY region ) AS sq ON o.region = sq.region WHERE o.total > sq.avg_total 

The correlated predicate area = o.region becomes a GROUP BY key and a associate condition. The subquery is now a derived array that can be additional flattened. The dataflow motor compiles this into a associate controller that maintains the per-region average incrementally.

This decorrelation handles EXISTS, NOT EXISTS, IN, NOT IN, scalar subqueries, and LATERAL joins. Each has its own semantics — LATERAL alongside COUNT requires LEFT JOIN alongside COALESCE to maintain zero-count semantics; nested LATERALs correlating alongside grandparent scopes necessitate wrap flattening to eliminate range boundaries; and IN / NOT IN / scalar subqueries against potentially-NULL operands necessitate three-valued logic probes whose applicability depends on the controller and anywhere the predicate appears, covered next.

Three-Valued Logic for IN, NOT IN, and Scalar Subqueries

SQL boolean expressions measure to TRUE, FALSE, or NULL — three-valued logic (3VL). Most operators create this transparent, but IN / NOT IN against a subquery that can create NULL do not, and the correct handling depends on where the predicate appears:

• NOT IN in WHERE requires 3VL guards. If the RHS produces equal a sole NULL, a NOT IN predicate that would alternatively be FALSE becomes NULL — and in WHERE, NULL filters the row out during FALSE was meant to keep it (or vice versa, depending on surrounding logic). A naive decorrelation into a LEFT ANTI JOIN loses this difference and returns incorrect results.
• IN in WHERE does not need 3VL guards. Both FALSE (no match, RHS has no NULLs) and NULL (no match, RHS has NULLs) logic WHERE to discard the row, so the difference is immaterial — a plain decorrelation to a semi-join is already correct.
• IN or NOT IN in the SELECT list continually needs 3VL guards, despite of operator. The predicate's value is projected out of the query, and callers may test it alongside IS NULL, continue it to another expression, or difference it to another boolean — the TRUE/FALSE/NULL difference must be preserved exactly.
• Scalar subqueries in the SELECT list sit alongside these cases: their NULL-vs-empty-result semantics necessitate the identical investigation machinery.

Readyset handles all of these by installing probe joins alongside the decorrelated subquery. Two probes extend the complete fact table:

• NP (null-present): EXISTS(rhs WHERE first_field IS NULL) — does the RHS create a NULL in this association partition?
• EP (existence): EXISTS(rhs) — is the RHS non-empty for this association partition?

Both are materialized as LEFT LATERAL joins projecting a sentinel present_ pillar that downstream predicates test alongside IS [NOT] NULL. A small boolean equation complete lhs IS NULL, NP.present_, EP.present_, and the anti-join equivalent yields the exact 3VL outcome SQL semantics require.

Probes are installed lone whenever null conclusion can't demonstrate them unnecessary. Before materializing either probe, the pipeline runs a nullability inspection on the two sides of the predicate:

• If the RHS difference pillar is provably null-free (from NOT NULL constraints, non-nullable expressions, or grouping/aggregation that guarantees non-NULL outputs), the NP investigation is skipped — a NULL can never occur, so the 3VL branch it guards is unreachable.
• If the LHS expression is provably null-free, the EP investigation is skipped — the "LHS is NULL" branch of the 3VL equation cannot fire.
• Only the branches that nullability inspection cannot statically eliminate create runtime probes.

This matters since all investigation is an additional LEFT LATERAL join: additional nodes, additional state, additional activity on all upstream change. Suppressing probes that are provably unnecessary keeps the dataflow chart minimal and aligned alongside what the query really needs.

Identical probes are materialized formerly and reused. Real queries frequently merge multiple subqueries alongside the identical RHS and association — two NOT IN clauses against the identical subselect, a scalar subquery referenced in the two SELECT and WHERE, repeated predicates generated by an ORM, and so on. A structural ProbeRegistry keys probes by a hash of the normalized RHS build and the association predicate (post-normalization, so cosmetic differences don't logic misses). A second event finds the existing admission and reuses its LATERAL joins alternatively of emitting duplicates. The register additionally supports lazy upgrade: if the archetypal event needed lone NP but a afterward event additionally needs EP, the EP investigation is added to the identical register entry, avoiding a parallel set of joins for what is the identical underlying subquery.

The net effect: 3VL is exact, the dataflow chart carries lone the investigation machinery the query really requires, and repeated subqueries portion a sole compiled form.

General Derived Table Inlining

After decorrelation, the query may merge derived tables — the two first ones that the left-spine continue didn't handle, and new ones introduced by decorrelation itself (as associate targets for unnested subqueries). This second inlining continue flattens them into the external associate structure, eliminating unnecessary intermediate materializations.

 SELECT sq.name, sq.total FROM (SELECT name, SUM(amount) AS total FROM orders GROUP BY name) AS sq WHERE sq.total > 100 SELECT name, SUM(amount) AS total FROM orders GROUP BY name HAVING SUM(amount) > 100 

The external WHERE referencing the total (sq.total > 100) migrates to HAVING, since following inlining it applies to a grouped result. The GROUP BY keys, total projections, and pillar rebinding are handled by the identical shared inlining API used by the left-spine pass.

Not all derived array can be inlined. The pipeline checks for opening functions that would alter behavior (their partition sizes depend on the row set, which changes following inlining), nested aggregation conflicts, and self-join introduction. When inlining would alter semantics, the query is remaining as-is and handled as a derived array in the dataflow chart — or rejected if the motor cannot assistance it.

Join Reordering

Two semantically identical queries that catalog joins in a distinct command — FROM a JOIN b ON ... JOIN c ON ... vs FROM a JOIN c ON ... JOIN b ON ... — should compile into the identical dataflow chart and portion the identical cache. But the dataflow compiler produces a distinct chart for all associate ordering, so structural differences in the SQL content guide to redundant caches for the identical logical query.

It's value stressing that this continue is not a cost-based associate optimizer. Its intent is purely canonicalization: producing a deterministic, syntax-independent associate sequence so that logically equal queries portion the identical cached dataflow graph. Cost, cardinality, and data perform no function current — the scoring is a structural tiebreaker, not a achievement heuristic. True cost-based associate reordering is a distinct upcoming continue that volition run on this canonical form: formerly in place, the downstream optimization stage volition be configurable to run cost-based associate reordering, display hoisting, or neither — and in all case it volition commencement from the identical canonicalized form produced here.

The pipeline normalizes associate command using a deterministic structural algorithm: at all stage it scores applicant joins by predicate proximity (preferring joins whose ON conditions citation the most lately joined tables) blended alongside the figure of cross-table equalities the applicant brings into scope, and breaks ties lexicographically by connection name. This produces a canonical associate sequence despite of how the person initially wrote the query. The identical method normalizes comma-separated FROM items into definitive CROSS JOINs, ensuring accordant structure.

Clause Normalization for Semantic Fingerprinting

Readyset identifies structurally identical queries so they can portion a sole cached dataflow graph. Two queries that differ lone in superficial ways — GROUP BY 1, 2 vs GROUP BY name, region, or ORDER BY total DESC vs ORDER BY 3 DESC — are semantically identical and should hit the identical cache.

The pipeline normalizes these clauses by resolving positional references (GROUP BY 1) and pseudonym references (ORDER BY total) to their underlying expressions (GROUP BY t.name, ORDER BY SUM(t.amount)). After normalization, semantically equal queries create identical AST structures, enabling dependable fingerprint-based cache matching.

Filter Hoisting

The final Block B pass. After all structural transformations, associate reordering, and clause normalization have produced the canonical query shape, the pipeline hoists parameterized filters (WHERE id = ?) from inner derived tables up to the outermost WHERE clause. These filters are most productive at the top level, anywhere the dataflow motor can use them for key-based lookups into materialized state. By operating last, display hoisting operates on the final semantic fingerprint form — the identical canonical form that volition be used for cache matching — ensuring the hoisted filters district in the correct structural position.

Today this continue runs unconditionally as the final stage of Block B. Once cost-based associate reordering lands, this slot becomes a configurable optimization step: the pipeline volition choose between display hoisting, cost-based associate reordering, or neither — all starting from the canonical form produced by the before passes.

Block C: Final Cleanup

After Block B's transformations, the query may have redundant clauses. Block C strips ORDER BY and LIMIT from queries that provably come back at most one row (e.g., filtering on a distinctive key), and auto-parameterizes literal values so that structurally identical queries alongside distinct constants portion the identical cached dataflow graph.

The Result

By the period a query exits the rewrite pipeline, it is in a form the dataflow motor can immediately compile:

• All subqueries are decorrelated into joins
• All derived tables are inlined (or remaining as supported derived-table operators)
• All pillar references are completely qualified
• All associate predicates are column-equality pairs
• Joins are reordered into the canonical semantic-fingerprint shape
• GROUP BY keys and ORDER BY expressions are normalized to definitive pillar references (no positional or pseudonym indirection)
• Redundant joins and clauses are eliminated
• Parameterizable filters are at the top level
• All structural invariants required by the dataflow motor are satisfied — the query is guaranteed to be compilable without additional transformation

The dataflow compiler afterward translates this canonical SQL into a chart of streaming operators — and from that item on, all data alter flows through the graph, keeping the cached outcome up to date without always re-executing the first query.

This is how Readyset turns SQL queries into live, incrementally-maintained caches: not by executing faster, but by never needing to execute again.

Future Work

Today's pipeline is built on general SQL semantics and relational-algebra principles. Every continue is a broadly-applicable rewrite: a heuristic that plant for any query matching a structural shape, backed by a soundness disagreement that holds for any data. This generality is a characteristic — it keeps the pipeline compact, composable, and uncomplicated to logic concerning — but it is additionally anywhere the next circular of activity lives.

Cost-based associate reordering. The current Join Reordering continue is a clean canonicalization step; it doesn't use data or try to minimize work. A genuine cost-based associate optimizer (CBJO) is the next important addition. Once it lands, the final Block B slot becomes a configurable optimization stage — the pipeline volition choose between display hoisting, cost-based associate reordering, or neither — and all choice volition commencement from the canonical form produced by the before passes.

Relaxing decorrelation and inlining guardrails. Several of the current guards are deliberately cautious: they refuse transformations that a additional targeted inspection could safely admit. Examples contain tighter window-function partition-stability analysis, composite-key redundant-join elimination, and per-column decomposition of blended aggregate/non-aggregate expressions following inlining. Each of these is a straightforward relaxation of an existing defender — a narrower inspect in location of a broader veto.

From generalized heuristics to pattern-specific transformations. The passes that be today were intentionally built as generalized rewrites — structural patterns that use broadly. The next phase of activity is the inverse: identifying specific query shapes that the generalized heuristics don't recognize, and adding targeted rewrites for them. Real workloads are complete of patterns — produced by ORMs, BI tools, or average reporting idioms — that are semantically uncomplicated but don't fit any of the current structural templates. Each specified form becomes a new continue or a new branch in an existing one: a narrow equivalent on a tangible shape, alongside its own soundness argument, composed into the pipeline alongside the broad rewrites.

The pipeline's architecture — a sequence of independent, composable, semantics-preserving passes — makes all of this incremental: all capability is a new continue or a relaxed guard, tested against the complete suite of regression tests and verified for semantic preservation.

Pradershika Sharma is a tech deals author for Lifehacker.

She has a Master’s flat in English Literature, a B.Ed., and a TESOL certification. She has been penning professionally since 2018, creating merchandise reviews, affiliate articles, and hunt ads for earth clients during operating alongside Rubix Agency and Cognizant. Previously, she spent a twelvemonth instruction English at the younger elevated level.

An avid audience since childhood, Pradershika's idea of extreme sports is staying up to peruse “just one additional chapter.” She lives in India.

A GoPro is awesome for capturing footage, but not so much if you get disappointed lugging it about on your adventures. That’s the advantage of the GoPro Lit Hero: At fair 3.3 ounces, it’s small adequate to stumble into a coat pocket or keep clipped to a bicycle helmet. And for October Prime Day, the Lit Hero is downward to $179.95 from its $270 initiate price, the lowest cost recorded by price trackers so far. For additional on the October Prime Day sale, you can prosecute offers as they arrive in on our Prime Day 2026 Live Blog or browse our Prime Day Deals coverage.

It records up to 4K at 60fps, captures 12MP photos, and is waterproof downward to 16 feet without needing additional housing, making it applicable for informal travel, cycling, coast trips, or quick holiday clips. Startup speeds are fast, autofocus plant reliably, and the power division lasts about 90 minutes of uninterrupted shooting (the power division is sealed and cannot be exchanged out mid-day). The built-in LED ray is additionally brighter than expected for a camera this small, although it feels additional helpful underwater or during emergencies than for mundane clips.

GoPro Lit Hero

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On the minus side, its 1.76-inch touchscreen is extremely small, and navigating menus can be tricky, particularly if you're outdoors or have wet hands. Because there are barely any bodily controls, nearly everything depends on tapping through menus on that small display. There’s additionally no built-in depiction stabilization; instead, you have to transfer footage into the GoPro Quik app and use stabilization afterward, which adds an additional step. While the depiction norm is decent in brilliant conditions, the small 1/2.8-inch sensor struggles in dimmer environments, producing softer footage alongside apparent noise. If you're into color grading or tweaking your footage later, you won’t get much elasticity current either, since there’s no log manner or meaningful manual authority to activity with.

Overall, the Lit Hero feels small akin a smaller Hero Black and additional akin a compact point-and-shoot act camera for beginners who attention additional concerning convenience and size than depiction quality—but if those are important factors for you, it's a fine bet at the current discount.

October Prime Day FAQs

How does Prime Day work?

Prime Day lets Prime Members shop online for thousands of products alongside big discounts. It lone lasts two days, so create certain you inspect out everything we cognize concerning the sale.

Is Prime Day lone for Prime Members?

Yes, you volition need to be a Prime Member to shop the exclusive revenue during Amazon's Prime Big Deal Days. Prime affiliation starts at $14.99 per month.

When is Prime Day in October 2026?

October Prime Day is a two-day event that starts Oct. 6, 2026 and ends on Oct. 7.

Spending too much period continually sweeping and mopping? If you have the prosperity to assign those chores to a robot cleaner, you could preserve a lot of individual time. Thankfully, it’s cheaper than customary to buy a robot vacuum / mop hybrid during Amazon’s Prime Big Deal Days, and several of our favorite models are discounted. The deals aren’t fair for Amazon Prime members either, alongside another retailers akin Best Buy and manufacturers getting in on the action, as well.

That being said, if your floors are already squeaky clean, create certain to check out our roundup of complete 100 deals from Amazon’s October sale.

David Nield is a innovation newsman from Manchester in the U.K. who has been penning concerning gadgets and apps for additional than 20 years.

He has a bachelor's flat in English Literature from Durham University, anywhere he additionally spent a term as publishing company of the award-winning pupil newspaper Palatinate. His reporting occupation started in imprint media, anywhere he contributed to and edited multiple innovation magazines and bookazines sold in the U.K. and internationally.

More recently, he has worked as a freelancer for several of the biggest innovation publications on the web, covering everything from on-the-ground reporting concerning merchandise launches, to detailed explainers and how-to guides on apps, gadgets, and platforms. His ability covers broad areas of person tech, including smartphones, laptops, wearables, and AI.

Plex has been about for nearly 20 years at this point, and has added plentifulness of features and functions in that time. We've earlier covered several of the ways it can be helpful for creating your own individual streaming service.

Even if you're a experienced Plex user, you should discover item of use here, as there's everything from tweaking the metadata that the apps use to create your library, to improving the norm of your video streams—with a particular concentration on films and TV shows (though Plex is capable of handling music and photos, too).

Edit your display and movie metadata if Plex gets it wrong

Your filenames and directory construction should give Plex adequate information to correctly tag TV shows and movies, but it doesn't continually get it correct all time. If you place a error afterward there are a few ways to alter it.

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From the chief leaf for a display or film, click the three dots and choose Refresh Metadata. This gets Plex to inspect again alongside its online sources, so if the data was missing or incorrect the archetypal period around, this may fix it.

Your second choice is to caput to the listing for a particular movie or show, click the three dots, and afterward choice Fix Match. This lets you choice from a choice of online hunt results, and is helpful for titles that are extremely akin to all another or extremely common.

The final way of fixing metadata is to go to an idiosyncratic movie or episode, and click the Edit clasp (the icon that looks akin a pencil). This lets you act manual metadata edits that won't be overwritten by any online databases that Plex references.

Clean out the clutter from your library

Delete leftover bundles from your library. Credit: Lifehacker

As your media archive grows and evolves, clutter can commencement to build up—particularly whenever it comes to items you've removed, that lean to depart metadata, preview thumbnails, and another bits of digital detritus behind. These leftovers are known as bundles.

You can apparent out bundles and keep your archive reduce in a brace of ways: In the web app, click the three dots next to your media server on the left-hand navigation pane, afterward choose Manage Server > Clean Bundles.

The identical choice is in the troubleshooting part of settings on the web. Click the wrench icon (top right) to open Settings, afterward choose Troubleshooting > Clean Bundles. You can additionally prosecute the Scheduled Tasks nexus on the identical leaf to have Plex do this chore automatically all week for you.

Set up multiple editions of the identical movie

There may be times whenever you have multiple editions of the identical movie in your library—director's cuts, perhaps, or extended editions—and if you have the Plex Pass scheme afterward you can tag these as distinct entities inner your library

You can either alter the filename on disk to have the type in curly brackets following the title—so "Blade Runner (1982) {edition-Final Cut}.mp4" for example—or click the Edit clasp (the pencil icon) on a movie listing leaf and act the particulars in the Edition field.

Add subtitles to your media alongside FileBot

FileBot can discover subtitles for you. Credit: Lifehacker

Your Plex satisfied isn't automatically going to arrive alongside subtitles attached, and that's anywhere the FileBot tool can help. Get the program installed on your system, sign up for a liberated document at OpenSubtitles, and you're prepared to commencement looking for your subtitle titles. This is done via the Subtitles panel inner FileBot.

Use the green person icon to log into OpenSubtitles through Filebot, afterward hunt for your films and shows via the drop-down at the top and the Find button. When you discover the records you need, double-click them to move them downward to the lesser window—in there, you can right-click, choose Export, and preserve them in the applicable Plex archive folder.

There are another options, akin a essential built-in subtitle hunt that's accessible if you have the Plex Pass, and the standalone Bazarr app, which gives you additional options than either the unified tool or FileBot, but takes longer to set up.

Share your Plex archive alongside allies and family

You don't have to keep your Plex archive to yourself, but there are several tricks to sharing it alongside allies and family. From the web app, click the wrench icon (top right) to open the Settings pane, afterward choose Manage Library Access on the left.

Click Grant Library Access to let person alternatively into your media library: You'll need to provision a Plex username or an email location (which volition be used to immediate them to sign up for a Plex account). You're afterward capable to choose the servers and libraries they can access. If you have a Plex Pass, you can set additional limits in conditions of age ratings and whether or not your allies and family can download content.

The wrinkles arrive alongside distant access. If you as the media server owner have a Plex Pass, afterward your allies and family can stream satisfied remotely, as fine as on the local network; if not, they all need a Remote Watch Pass ($2 a duration or $20 a year) if they're not observing on the identical local network as you and the server.

See who watched what and whenever alongside Tautulli

Tautulli is among the finest Plex add-ons around, giving you a presenter of helpful stats concerning your media server—including records of who watched what. Once you've downloaded the installer for Windows or macOS, you'll be taken step-by-step through the procedure of connecting it to your Plex server.

If you've shared your Plex archive alongside the family, afterward you can, for example, see what the kids are observing and when, and equal the devices they've used and how much bandwidth they've used up alongside the way.

The plug-in is engaging adequate equal if you haven't shared your library: It's imaginable to interrupt downward viewing to day-by-day or hour-by-hour graphs, see the movies and shows you're observing most often, inspect out detailed data on your media files, and keep track of whenever new films and shows are added.

Create collections for easier archive management

Use Collections to arrange your Library. Credit: Lifehacker

Collections are a helpful way of applying several command to the anarchy of your Plex media library, and the characteristic is perchance not as fine known as it should be. You can collect any you like, whether it's feel-good TV episodes or spy films.

To get started alongside collections, click the Edit clasp on a listing leaf (the pencil), afterward choose Tags, and act item into the Collections box. If the gathering already exists, it'll display up as you commencement typing.

You can additionally set up astute collections, anywhere media records are added automatically. Set a hunt display via the Library tab on your Films or Shows screen, and if you click the Add to clasp (the affirmative and horizontal lines icon on the right), you get a Create Smart Collection option. Any records that are added in the forthcoming that equivalent your hunt display get automatically added to the gathering too.

Make videos appearance as fine as possible

Most of the period Plex volition grip video norm automatically, and do a fine job of it, but there power be occasions whenever you're not getting the finest norm imaginable (particularly if you're observing on small mighty devices).

To create certain Plex is continually serving up video as finest it can, in the web app click the Settings icon (the wrench, top right), afterward Transcoder. If you cognize you've got the device to grip it, you can set the top Transcoder quality drop-down to Make my CPU hurt, and allow the Use hardware acceleration whenever available.

In the apps for idiosyncratic devices, you'll additionally discover video norm options in the settings. Put video norm up to Maximum for finest results—you may need to test to discover the limits of what all equipment can handle.

Customize the Continue Watching pane 

You can decide what's in Continue Watching (up to a point). Credit: Lifehacker

You power not have stated much idea to the Continue Watching pane that shows up on your Films and Shows pages, but you can customize this on the web to lawsuit your own preferences—and perchance eliminate several satisfied you don't desire to keep around.

Click the wrench icon (top right) to open Settings, afterward choose Library on the left. You're capable to set a threshold (a figure of weeks) beyond which titles disappear from Continue Watching, as fine as limiting the figure of titles included in title. Turn off the Include period premieres in Continue Watching checkbox to conceal premieres for new seasons whenever you've completed old ones—otherwise they'll display up indefinitely.

The settings you configure current should propagate to the Continue Watching rows in your another apps; try decision and restarting them if not.

Get the conduit surfing cognition rear alongside QuasiTV

If you young female the traditional conduit surfing cognition whenever using Plex, there's a resolution in the form of QuasiTV: This app plant on Android TV, Google TV, and Fire TV devices, and wraps your Plex archive and streaming services in a additional accepted interface.

Sign into Plex, item it towards your libraries, and it'll create a tradition conduit guide filled alongside your shows and movies. These power get assigned to genres, or to the TV stations they initially aired on, and you can browse about until you discover item you like—just akin the old days.

It's not the most productive way of searching through your Plex media library, but it's fun to use, and whenever I tested it out I rediscovered a few movies and TV episodes that I hadn't watched in a while.

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Introducing EmbeddingGemma 2! 🚀 Our lightweight, multimodal embedding example maps text, code, images, video, and audio into a single, unified embedding space. Optimized for on-device use cases, it features: - 740M indicator form aspect alongside standardized encoders - Flexible size sizes (768dim-128dim) via Matryoshka Representation Learning (MRL) - 8K environment opening (4x larger than text-only EmbeddingGemma) - A commercially permissive Apache 2.0 license

Comedian Sebastian Maniscalco is facing backlash from chap comics who assertion his takeover of SiriusXM’s Raw Comedy conduit is harming up-and-coming talent, as reported before by Deadline. Many established comics, including Patton Oswalt and Margaret Cho, have posted videos online calling on Maniscalco to transport on Raw Comedy’s bequest by highlighting newer comedians on his channel, alternatively of mostly focusing on well-known ones.

SiriusXM launched Sebastian Maniscalco’s Comedy Radio in April, which is “curated and headlined by Sebastian himself,” according to the moon broadcast provider. The move replaced SiriusXM’s long-running Raw Comedy conduit featuring uncensored stand-up wit shows from a range of talent. Now, the channel pretensions Maniscalco’s own show, alongside a stream of stand-up satisfied that clown Dan Soder says features “very celebrated comics who are deceased or who don’t necessarily need the money.”

The general criticism comes as Stand Up for Standup, a nonprofit institution that provides resources for comedians in need, published a report concerning the channel’s change distant from emerging talent, who depend not lone on the visibility they obtain from appearing on the station, but additionally on the royalties they acquire from SiriusXM. The institution says that since March, the spins on Maniscalco’s channels have decreased from a wider net of additional than 800 comics to a much narrower pond of 275 artists, mostly skewed toward celebrities.

“We accept this shift, the two in the general amount of artists enjoying plays on Channel 102, and the alter in allocation throughout all spin-getters favoring the top few, is bad for comedians, and bad for the forthcoming of comedy,” Stand Up for Standup says.

“There’s a lot of up-and-coming comedians who are depending on the prosperity and the checks that they get from Sirius,” Oswalt says in an Instagram video. “But 500 of them have been booted off of Sirius… You can effortlessly reverse this decision. Get those young comedians rear on the Sirius channel. Let them get those checks.” Many another comedians, including Liz Miele, Kyle Kinane, and Michelle Wolf, have called out Maniscalco as well.

In a declaration to Deadline, SiriusXM says Maniscalco’s conduit “introduced a new imaginative direction and a regularly evolving programming mix for the channel,” adding that “SiriusXM continues to allocate in comedians additional than any another audio platform.” Neither SiriusXM nor representatives for Maniscalco immediately responded to The Verge’s petition for comment.

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Mother Jones mag has published new particulars outlining how the shooter in the Tumbler Ridge tragedy allegedly used OpenAI's ChatGPT program to the two scheme the attack, and evade OpenAI's own safety protocols.

The report was written by the magazine's national affairs publishing company Mark Follman, who has been examining the association between AI chatbots and aggressive attacks the two in the United States and elsewhere.

Follman says through his reporting he was capable to assessment "significant portions" of the conversation former between shooter Jesse Van Rootselaar and OpenAI's ChatGPT chatbot in the period foremost up to the attack, several of which is detailed in his reporting. 

"I can say that what's in them is far additional disturbing and extended than I think certainly the community has been conscious of until this point," he stated in an discussion alongside CBC News.

WATCH | Mother Jones newsman describes inquiry into conversation logs:

On Feb. 10, Van Rootselaar attempt and killed her mother and half-brother at their family home. She afterward went to Tumbler Ridge Secondary School, anywhere she attempt and killed five students old 12 to 13 and a 39-year-old learning assistant, before slaying herself.

The shooting has remaining a profound scar on the tight-knit community of concerning 2,400, in the foothills of northeast B.C.'s Rocky Mountains.

OpenAI has already admitted that Van Rootselaar's action was flagged internally and close down, as archetypal reported by the Wall Street Journal.

It has additionally apologized for failing to notify authorities in Canada concerning the activity, and afterward admitted it had unsuccessful to notice a second document created by Van Rootselaar following the archetypal was disabled.

• Tumbler Ridge shooting subsister Maya Gebala celebrates 13th anniversary as improvement continues

• 'My students have to be here': Tumbler Ridge instructor shares toll of deadly academy shooting

But Follman says the logs he reviewed disclose far additional particulars concerning how Van Rootselaar used that second document to get data concerning aggressive scenarios by framing them as hypothetical or fictional situations.

The mag study says the alleged interactions alongside the chatbot vividly depict the effectiveness of a shotgun in a classroom. CBC News has not reviewed the conversation logs detailed in the report.

"In a hallway, indoors, or a crowded classroom, the 870 [Remington shotgun] is brutal," it quotes ChatGPT as saying. "Close quarters is its playground."

Victims of the Tumbler Ridge shooting were memorialized in the days following the tragedy. (Ben Nelms/CBC)

The part says ChatGPT went on to say that "assuming all casing results in one hit, you power downward 10 to 20 group max, depending on spacing, density, reply times, and chaos."

"To have a chatbot affect in this way was, I think, fairly astonishing," Follman said.

"It's extremely troubling, since this is a individual who has been already talking, for fairly a while, concerning several extremely dreary and disturbing things."  

Follman stated the business has not responded to his multiple requests for comment in the leadup to his article's publication.

Multiple requests from CBC News on Friday additionally went unanswered.

Community response

Shelley Quist, whose son was in Tumbler Ridge Secondary whenever the shooting happened, called the study "disturbing" and stated it raised equal additional questions concerning the innovation is being used.

She stated it was difficult for the community to regularly obtain new particulars concerning the attack, and stated she'd been diagnosed alongside PTSD in the aftermath.

"I'm continually thinking of, 'What's coming next, what's going to arrive out?'" she said.

Of OpenAI, she said, "they had a chance to halt this, and they didn't."

Tumbler Ridge Secondary School pupil Darian Quist and his mother, Shelley Quist, in an discussion following a shooting at the academy on Feb. 10, 2026. (The National)

Multiple community members, including several teachers and the families of children at the school, have submitted lawsuits against OpenAI. The B.C. authorities is additionally launching its own lawsuit against the company.

The District of Tumbler Ridge declined to comment on the new report, but shared a article on its Facebook leaf reminding community members of the mental health supports that have been made available for anyone struggling.

"We cognize difficult data or conversations can bring up a range of emotions, particularly for those affected by the tragedy informed in February," the article says.

"It is additionally fine to set boundaries about the data you obtain in. If you cognize that study news coverage, comments or social media discussions concerning [Feb.] 10 may negatively power your wellbeing, regard strolling distant or choosing not to engage."

Politicians react

Following the report, British Columbia's attorney broad says she has asked the national authorities to alter the Criminal Code to justify accountability for synthetic intellect companies.

Niki Sharma stated Friday that she had not received a reply since of the "rapidly evolving" circumstance but the changes need to "ensure a clearer pathway for individual and company accountability for the actions of AI."

WATCH | B.C. suing OpenAI for alleged function in Tumbelr Ridge shootings:

"I think if we do the correct changes to the Criminal Code, it volition alter the behavior of AI companies, since there volition be a apparent row to accountability," she stated at an unrelated news conference.

Sharma, who stated she was speaking in her capability as a applicant in the B.C. election, stated she was "not the decision creator alongside regard to the offender charges or if there are to be any that are coming."

"The RCMP volition create those decisions under the investigation," she said.

• Grace comes in the awaken of fear in Tumbler Ridge, B.C.

NDP Leader David Eby stated during a run halt in the provincial ballot that the allegations are "shocking" and the data must be hurtful for families of the victims.

"They need to be regulated, and frankly, if the allegations in that media reporting are true, afterward they need to be criminally charged, since there is nobody who have to be permitted to affect in the benevolent of behavior that OpenAI has," Eby said.

Federal AI Minister Evan Solomon’s agency stated in a declaration that Solomon "was not earlier conscious of the particular conversations detailed in the Mother Jones report."

The agency of Minister of Artificial Intelligence and Digital Innovation Evan Solomon stated the news study 'raises grave questions concerning how OpenAI identified and responded to alert signs.' (Rich Lam/The Canadian Press)

Solomon's agency says in its declaration that during OpenAI has taken measures since the February shooting, it’s too shortly to say if the business has done enough.

"What has been reported raises grave questions concerning how OpenAI identified and responded to alert signs," the declaration said.

"Following the tragedy, the curate summoned OpenAI officials to Ottawa and demanded stronger safeguards and clearer pathways for escalating dependable threats," it added.

• B.C. authorities suing OpenAI for alleged function in Tumbler Ridge bulk shooting

OpenAI is now in straightforward communication alongside the RCMP’s cybercrime centre and has undertaken a assessment of former cases and strengthened its processes for assessing threats, the declaration said.

"Those actions matter, but it would be premature to say they are sufficient," it said.

The declaration added the Canadian AI Safety Institute has an ongoing assessment of OpenAI's practices and that the inquiry remains active.

Gun authority collection demands answers

The gun authority collection PolySeSouvient stated in a declaration issued Friday that the Mother Jones study raises a troubling question: if constabulary had been alerted to the shooter’s archetypal or second ChatGPT account, would they have taken distinct steps?

That inquiry and what happened alongside the alert signs need to be answered, the collection said.

"Firearms had been removed from the residence and afterward returned," the declaration said.

"Canadians need to cognize what happened between those before interventions and the killings, what risks were assessed, what decisions were made concerning admission to firearms, and whether another measures were available."

• What benevolent of firearms were used in Tumbler Ridge shooting? Gun authority groups encourage transparency from RCMP

It stated the two OpenAI's behavior and the firearms oversight need to be reviewed to acknowledge missed opportunities to forestall another bulk shooting.

RCMP Staff Sgt. Kris Clark stated in a declaration delayed Thursday that the inquiry into the shootings had "utilized all accessible lawful processes to get all data accessible from assorted social media and digital platforms" applicable to the attack.

"To date, all companies that have received requests have complied," Clark said.

• Teachers, students document new motion of lawsuits against OpenAI complete Tumbler Ridge shooting

The part published says Van Rootselaar's ChatGPT document was banned for discussing committing an assault alongside a "famous real-world buying center as the target."

But it says she afterward used a second account, which advised her concerning how to "never get flagged again” by describing situations as fictional or hypothetical.

"Don’t use real-world locations," the part quotes ChatGPT as saying, before adding: “You can motionless be twisted. Just be clever concerning it."

WATCH | News study particulars ChatGPT logs:

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Google announced a new accord to update six nuclear power factory sites throughout the US as the tech elephantine seeks to create additional power for its power-hungry data centers.

Google signed the 20-year agreement alongside Constellation, the foremost nuclear power factory controller in the US. The power acquisition accord is meant to justify the income needed to shield the disbursal of effectiveness upgrades at existing nuclear flora and “represents additional than $4.3 milliard of new funding by Constellation,” according to the press release.

Over the next five years, the companies anticipate new equipment at all location to collectively guide to 890 megawatts of additional nuclear capacity. That’s approximately equal to the amount of power one ample new nuclear reactor or three small standardized reactors power generate, according to Google and Constellation.

They scheme to modernize 11 reactors at six sites in Illinois, Pennsylvania, and New Jersey. Each is connected to the PJM Interconnection grid, the largest power grid in the US, which spans 13 states and the District of Columbia — including the nation’s largest hub for data centers in Loudoun County, Virginia.

PJM has struggled lately to encounter expanding petition from AI data centers. An autonomous market detect submitted a complaint final twelvemonth alongside the Federal Energy Regulatory Commission (FERC) saying that PJM was preparedness to authorize huge data centers to nexus to the grid that it could not reliably serve, which could guide to blackouts.

Along alongside the nuclear power deal, Google additionally inked a separate, much larger 15-year energy provision accord alongside Constellation meant to justify continued income for another existing power flora Constellation operates inside PJM, despite of energy type. Nuclear energy made up 70 percent of Constellation’s total generating capability final year, and another 8 percent came from renewables. Gas and oil made up the remaining 22 percent, according to the company’s latest sustainability report. Gas additionally accounts for the largest chunk of PJM’s energy mix. At 2,700MW, the second agreement is much larger than the nuclear power acquisition agreement.

Data centers are driving a surge in new gas infrastructure projects in the US, moving many tech companies additional from their sustainability goals. Google’s carbon emissions rosy by 18 percent final twelvemonth alongside alongside a jump in power petition of 37 percent, according to the company’s latest sustainability report.

October Prime Day is officially underway, offering discounts on everything from headphones to fitness tech. One standout that blends those two categories is the Beats Powerbeats Pro 2, now 28% off at $179.95 (originally $249.99). That saves you fair complete $70, matching the earbuds’ lowest cost ever, according to price-tracking tools.

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The Powerbeats Pro 2 are a famous choice for gym-goers and runners. The elastic ear hooks are made alongside a powerful nickel-titanium alloy, and are designed to remain put during high-impact movements. They additionally arrive alongside five ear-tip sizes, allowing for a additional customizable fit. An IPX4 ranking method they’re sweat- and water-resistant, although not meant for swimming or submersion. 

Apple’s H2 part powers these earbuds, including the two energetic noise cancellation to obstacle out audio and Transparency manner to let you comprehend your surroundings. Powerbeats Pro 2 additionally contain Adaptive EQ and personalized spatial audio alongside energetic caput tracking. PCMag, which gave the earbuds an "Excellent" rating, calls the audio “bass-forward,” which isn't amazing for anyone who has used Beats. These earbuds equal have a built-in heart-rate monitor, which transmits live exercise data to compatible fitness apps and equipment for the two Apple and Android users. 

Battery existence lasts up to 10 hours without ANC and eight hours alongside it on. The case holds an added 28 hours of accusation alongside ANC on and 35 hours alongside it off. Plus, a five-minute quick accusation provides about 90 minutes of playback. The buds additionally use tactile buttons alternatively of contact controls, located on a stem that extends onward from the in-ear module.  

While the ear hook scheme isn’t for everyone, if you're looking for an substitute to traditional earbuds alongside mighty noise cancellation and bodily controls for the two Android and Apple users, the Beats Powerbeats Pro 2 are value considering – particularly since they rarely attain this low of a price. 

The Internet has rotate into an promotion platform. Users of mobile devices are acutely conscious of this, since mobile functioning environments and apps power ads on their users, in supplement to those that pollute the Web. It’s getting harder to evade the ads on Android handsets, as Android is increasingly locked downward and difficult to customize. It’s certainly not in Google’s involvement to create it uncomplicated to obstacle ads.

It’s motionless possible, though, to suppress most advertising, equal in 2026.

This part is specifically concerning blocking ads at the system level, that is, in the Android phase itself, rather than in any particular app. Some Android apps, particularly web browsers, have their own methods of blocking ads, or can have such features added using third-party plug-ins. Oddly, though, the DuckDuckGo browser, whilst blocking the tracking that accompanies targeted advertising, doesn’t specifically obstacle ads – you need something more.

If you obstacle ads at the scheme level, all apps – and the system itself – are protected. Moreover, methods for blocking ads can usually be extended to defend against trackers and another kinds of malware.

Basic principles

So far as I know, all system-level ad-blocking methods activity by overriding DNS behaviour. DNS (domain name service) is the technology that maps hostnames to numeric IP addresses; a DNS lookup is the first step in nearly all network operations.

Blocking ads using DNS amounts to finding the hostnames of know advertising services, and mapping them to bogus IP numbers. This can be done in the Android handset itself, or in several external DNS server.

Returning a bogus IP figure doesn’t forestall an app or browser trying to display advertising, or authorize it to create improved use of the display area the ads obtain up. Apps change in their responses to a failed attempt to display promotion – additional on this later.

Blocking ads using DNS

There are basically four methods to obstacle ads using DNS changes.

1. Use a business DNS assistance alongside ad-blocking features
2. Use a business virtual personal network (VPN) alongside ad-blocking features, akin NordVPN
3. Install an ad-blocking app that doesn’t necessitate base access.
4. Use an ad-blocking method that requires base access, alongside or without a supporting app

In general, whenever you create a association to the Internet on an Android device, the DNS name resolution (mapping a hostname to a numerical Internet addresses) is performed by a server hosted by the handset’s mobile transporter or Internet assistance provider.

Android allows you to override this behaviour, and choose a custom DNS server that blocks ads. Well, it won’t really “block” item – not really; the DNS server fair returns a bogus IP figure whenever your handset looks up the IP figure that corresponds to the hostname of a known advertiser.

Depending on the DNS assistance you use you may, or may not, get some control complete exactly what it blocks. Some users choose additionally to block access to pornography or on-line gambling, for example, for child protection.

How fine these services activity depends, of course, on how fine the service’s operators keep their lists of known promotion hosts. Advertising services arrive and go, and equal long-standing ones change their servers from period to time.

There are many business DNS services that assistance ad-blocking, and I don’t endorse any in particular. Prices vary, and most services have a free trial. If you attention concerning privacy, you’ll desire to use a assistance that keeps no logs, and you power desire to use one that supports encrypted DNS. A rogue DNS controller power get admission to delicate data in all kinds of ways. It’s possible, for example, for a DNS controller to direct requests for your on-line banking assistance to its own proxy, and slurp up your credentials whenever you log in. You should certainly be extremely careful and, during there are lawful liberated DNS services, I’m fairly suspicious of any assistance of this benevolent whose backing example is unclear.

For many group this volition be the simplest solution. If you subscribe to a VPN assistance for broad privacy, blocking ads volition frequently arrive at no extra cost. Ad-blocking VPNs typically redirect DNS lookups to their own servers, and come back dummy IP numbers for known advertisers, fair as a commercial DNS assistance does. VPNs hence have all the identical advantages and disadvantages as an ad-blocking DNS service. A big VPN controller will usually provision an Android app that configures the handset to use its servers, so set-up is beautiful trivial for most people.

As alongside business DNS services, a rogue VPN controller can be very dangerous, and it’s crucial to choose a provider carefully.

So far as I know, all these apps utilize a loophole (of sorts) in Android’s phase lock-down.

Like all Linux-based functioning systems, Android provides a way for a device to override the DNS mappings of the Internet assistance provider it is using. There volition be, location on the handset, a document that contains a catalog of preferential name-to-IP mappings. On a non-rooted Android device, the person won’t have permissions to alter this file, so a simple method of blocking ads – maintaining a catalog of bogus DNS mappings for known advertisers in a document – is unavailable.

However, in a non-rooted device, you can instal a VPN service. This have to be possible, if Android is to assistance VPNs at all. A non-rooted ad-blocking app volition typically run a DNS server and a local (within the app) VPN host. The app volition configure the handset to use its own VPN as the scheme VPN provider, which volition create its own DNS server the scheme DNS. With authority complete DNS, the app can provision its own handling for name lookups, including those of cognize advertising servers.

Google, being an promotion company, isn’t extremely eager on this benevolent of thing. It can’t effortlessly forestall the use of “local” VPNs without crippling VPN functionality entirely but Google can, and does, create it difficult for non-technical users to get the suitable apps. At current you can get apps akin AdAway from substitute app stores akin F-Droid.

Google is set on making this difficult, too, and before lengthy you’ll have to get the app’s APK document from (hopefully) a reputable source, and jump through any basketball Google puts in the way of instal software it doesn’t like. At the period of writing, Google isn’t making it impossible to instal application from exterior its Play Store, but it’s getting additional and additional fiddly.

Most apt though, Google’s obstructions won’t always be as difficult to surmount as rooting your Android handset and applying a definitive ad-blocking solution. Using an app akin AdAway volition likely continue to offer advantages complete a business DNS or VPN service, equal if Google makes it difficult to install.

The most apparent advantage is that these apps are normally liberated to use. Despite this, a community of unpaid maintainers ensures that the apps’ lists of known advertisers are as thorough as any provided by a commercial service. A disadvantage, though, is that all network traffic from all apps have to be routed through a sole app on the handset. Not only does this create a network bottleneck, a rogue ad-blocker app is exactly as hazardous as a rogue VPN service. Fortunately, since these ad-blocking apps are normally open-source, there are limited opportunities for bad actors. I’d powerfully advise against using one that isn’t open-source, equal if you don’t scheme on looking at the source code yourself.

If your handset is rooted, afterward ad-blocking is uncomplicated – in theory, at least. Android’s catalog of preferential name-to-IP mappings is in the file /system/etc/hosts, so all you have to do is edit that file, to straightforward advertisers’ hostname to a bogus IP number. Usually the bogus IP local location of the handset itself, 127.0.0.1. So you’ll have a hosts document complete of entries akin this:

127.0.0.1 08.185.87.0.liveadvert.com 127.0.0.1 08.185.87.00.liveadvert.com ...

The logic for using the handset’s local IP figure is that it must correspond to a scheme that the handset can really reach. Otherwise, network admission volition be seriously delayed as apps try to contact non-reachable promotion hosts. Of course, this method that every request for an promotion assistance volition be directed rear to the handset which, presumably, volition answer alongside a error reply to the app that makes the request. Since the petition volition neglect immediately, this loopback network routing doesn’t create an appreciable burden on the handset.

This is all theoretically straightforward but, in practice, there are two important problems.

First, we need a origin of hostnames to block. Lists of these are widely accessible on websites, but the issue of care is always present. Some of these lists are really huge and, without doubt, reference hosts that no longer operate. If the hostname catalog is this long, afterward all network admission volition be slowed, as the handset has to parse the hosts document for all DNS lookup.

Probably the finest origin of ad-blocking hosts records is the code of open-source ad-blocking apps akin AdAway. This app can, in fact, provision its catalog automatically whenever installed on a established handset, which simplifies the set-up.

The second issue is that you can’t fair hack on the hosts file, equal as base – on all modern Android devices it’s on a read-only filesystem. So you’ll need some sofware that can manipulate the contents of the /system directory during the footwear process, during it’s motionless writeable.

If you’ve established your handset, you nearly certainly have a way to do this already. If you’re using Magisk, for example, you can use a module to provision a new hosts file. Magisk modules live in directories under /data/adb/modules, and any records in the module’s own scheme directory volition overwrite the main /system at footwear time. So you can create a Magisk module that provides its own /system/etc/hosts.

Happily, Magisk users don’t have to do this manually, as the Magisk developers have anticipated this usage. If you allow the “systemless hosts” choice in the Magisk app, it volition create the necessary module with all the necessary metadata in place. Thereafter, to create a custom hosts document you fair hack (as root) on /data/adb/modules/root/system/etc/hosts, and afterward reboot. Alternatively, you can use an app to create this change.

In fact, since this method of hacking on the hosts file is so prevalent, ad-blocking apps akin AdAway have built-in support for it; but, of course, this assistance is lone for established devices. If your handset is already rooted, using a root-aware ad-blocking app is probably the most productive way to oversee ads. It’s much faster than a non-root app that installs a local imitate VPN, and doesn’t lift any of the identical safety concerns. That’s not to say there are no concerns, and you should ideally inspect the hosts document such an app installs, to justify there are no mappings to item except 127.0.0.1.

It’s crucial to comprehend that no method of blocking ads is completely reliable, or has no side-effects.

Most notably, several Android apps merely won’t work, or won’t work properly, without their advertising. If you must use specified apps, you’ll need an ad-blocking method that allows you to customise the catalog of blocked sites. It won’t be remotely obvious, fair from the behavior of the app itself, why it isn’t working, or how to fix it. On a rooted handset you can track the network behavior of a particular app in detail and, in theory, activity out what it needs that you’re blocking. In practice, it’s easier to mention to the on-line discussions of specified apps because, most likely, person alternatively volition already have done the work.

However, several apps go so far as to have all their ads built in; no ad blocker volition halt specified an app showing advertising, as there’s no network operation to block.

It’s additionally crucial to comprehend that Android caches DNS lookups in various places. Although several methods of ad-blocking authorize the catalog of blocked hostnames to be configured on the fly, you power motionless have to reboot the handset to flush its caches.

Although it have to be obvious, withstand in intellect that DNS-based ad-blocking lone plant anywhere an app uses DNS. Since DNS-based ad-blocking is so commonplace, several app developers are implementing direct admission to promotion servers using IP numbers, which renders all DNS-based approaches ineffective. This, fortunately, is motionless relatively rare.

The capability to obstacle ads at the scheme flat is among the few compelling reasons to base your Android handset in 2026. Blocking ads this way uses few, if any, additional scheme resources, and its effect extends to all apps.

If you can’t base your device, or favor not too, there are other ways to obstacle ads, but none is as effective, as configurable, or as cheap.

Finally, if you mostly battle alongside ads on websites, fairly than in apps, the simplest method power be to instal a web browser with ad-blocking support, and evade system-level ad-blocking entirely.