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WHY REDDIT'S CHATGPT CITATION DROP ISN'T FULLY EXPLAINED

Your decision to use Reddit should come down to whether it makes sense for your brand, not whether it appears in ChatGPT citations.

ON COMPUTER USE

Computer use means giving an agent access to a computing environment and real user credentials.

A FASTER WAY TO CALCULATE THE DAY OF THE WEEK

This post is for people interested in low-level bit manipulation, optimizing high-performance date libraries/database engines, compiler authors, and crazy people in general.

Start free with up to $100 in credits

EARLY OUTPUTS OF MUSE VIDEO MODEL FROM META

Meta's Muse Video model is now in closed beta. The model has native audio, and early outputs show strong detail and temporal consistency. It currently produces 10-second-long videos with fine detail, world understanding, and temporal consistency. Samples of videos generated by the model are available in the article.

ROUTER

Router reduces inference costs by matching every request to the lowest-cost model that meets performance requirements. It responds to live latency and failure rates. Router can cut AI costs by 40% on average. Engineering gets the best model for every workload, and finance gets lower inference spend.

REPLIT INTRODUCES FREE MODE

Replit Free Mode enables users to create 30x more using OpenAI's GPT-5.6 Luna without consuming credits on everyday tasks. This new UI allows seamless transitions from chat and tasks to comprehensive builds, enhancing productivity and user engagement. Core subscribers now create high-quality projects at scale, with Pro users benefiting from even greater usage limits.

SOL LOVES TO CHEAT

This developer tried to automate their dev flow with agents. The agents worked well, hitting 94% on Terminal Bench 2.1. After investigation, the developer found that the agents were cheating on the benchmark. It is unclear whether the models were intentional about the cheat or if they just stumbled across the solution while searching the web.

WHAT'S THE RIGHT BALANCE IN REGULATING AI?

Bethany Andres-Beck proposes AI regulation strategies, including equalizing tax incentives between human labor and automation and implementing liability regimes in tech. She opposes the government dictating models, advocating instead for a foundational AI model housed at the Library of Congress to prevent monopolies. Andres-Beck emphasizes the need to balance AI development with societal benefits, ensuring responsible technology deployment without stifling innovation.

PUSHING THE LIMITS OF SERVING DEEPSEEK-V4-PRO

Serving profiles should not be selected from hardware specifications or isolated benchmarks alone. Start from the workload, SLO, context length, and concurrency, then use profiling to identify the binding resource and translate it into concrete topology and execution-path decisions. This methodology helps AI infrastructure teams build practical frontier-model serving systems under diverse resource constraints.

ORNITH-1.5 OPEN MODELS LAUNCH IN 397B, 35B, AND 9 B SIZES

Ornith-1.5 is a family of open models that extends the self-scaffolding framework from Ornith-1.0 into a closed self-improvement loop. The self-improvement loop from Ornith-1.0 was expanded from scaffold and rollout optimization to jointly optimizing task generation, scaffold construction, and solution rollouts. Ornith-1.5 continually generates new training tasks, discovers effective strategies for solving them, and improves the policy through reinforcement learning. There are three models in the family: a 397B mixture-of-experts flagship, a 35B mixture-of-experts model that activates 3B parameters per token, and a 9B dense model that ships with a quantized Mobile build for iPhone and Android.

CLOUD AGENTS AND CURSOR HARNESS IMPROVEMENTS

Cursor can now monitor PRs, watch a Slack thread, and run scheduled tasks. Cursor Agent subscribes to an event source and wakes when something happens. Subscriptions are currently only available for cloud agents. Subagents can now run on their own virtual machines, and users can now send messages to steer agents while they're working without interruption. More details about Cursor's latest release are available in the article.

SUPERWHISPER/S1-MINI

Superwhisper's S1-mini model is a 0.6B-parameter text normalizer for speech-to-text outputs, achieving a 94.8% token accuracy in transforming raw ASR transcripts into clean written text. It's optimized for English, runs comfortably on CPU, and requires a specific input format, including a control line for styling, structure, and context settings.

UNSLOTH DYNAMIC 3.0 GGUFS

Unsloth released Dynamic 3.0 GGUFs, improving accuracy over previous quantization methods while maintaining model size. The update leverages a refined imatrix calibration dataset for better multilingual performance and does not use QAT, reducing overfitting risks. The new version shows up to 10% better top-1% accuracy in smaller quant sizes and substantial disk space savings with improved calibration and quantization techniques.

AGENT LIGHTNING V1.0: TOWARDS HARNESSED AGENTIC RL

Agent Lightning v1.0 offers a lightweight framework for harnessed agentic RL, implemented in 3,500 lines of code. It focuses on integrating arbitrary agent harnesses, enabling exploration of challenges like retokenization and training stability. Evaluated on various agent tasks, it improves Qwen3.5-9B's performance on SWE-bench Verified by 14.6 points using just 6K training examples.

GTM ENGINEER, APPLIED AI AT TLDR ($175-205K BASE + $40-60K BONUS, FULLY REMOTE)

TLDR is hiring a GTM Engineer to join our Applied AI team and own our AI-native GTM stack. We're looking for someone comfortable building AI agents and working with HubSpot. Click here to learn more [20]!

YOU PROBABLY DON'T GET WHY STRIPE BOUGHT OPENROUTER

Stripe acquired OpenRouter to enhance AI security and alignment, leveraging its vast cross-network transaction data. OpenRouter manages over 10 trillion tokens per day, providing critical behavioral data for AI model security, unmatched by individual providers or labs. This acquisition positions Stripe as a neutral entity ensuring ecosystem-wide safety, combining its robust security infrastructure with OpenRouter's unique data assets.

RIGHT-SIZING YOUR INTELLIGENCE SPEND

Enterprise AI should optimize intelligence consumed per successful outcome, not default to frontier models for every task. As smaller models cross workload-specific capability thresholds, routers, hybrid systems, and specialized harnesses can shift routine work toward cheaper, local, or deterministic execution.

tradeoffs for each. Get your copy

META LAUNCHES AI DESKTOP APP FOR MACOS WITH SCREEN SHARING

This article contains screenshots from Meta's new macOS app.

OFFERING ZERO DATA RETENTION FOR FRONTIER MODELS

OpenAI is previewing Private Safety Processing so automated safeguards can identify patterns across related interactions while remaining compatible with zero-data-retention commitments.

September 22-24. Save your seat.

VERCEL AGENT COMES TO SLACK

Vercel announced a Slack interface for invoking its agent from team conversations.

VISA SEARCHES FOR NEW STABLECOIN SETTLEMENT PARTNER

Mastercard's acquisition of BVNK, a stablecoin settlement infrastructure provider holding active licenses in the US, Canada, UK, and Singapore, forces Visa to find a new settlement partner, as Mastercard would not continue supplying infrastructure to a direct competitor. Visa must source a replacement with equivalent four-jurisdiction regulatory coverage, a requirement that limits the candidate pool to a small number of licensed providers. The deal signals that traditional payment networks are treating regulated stablecoin settlement rails as competitive moats, with Mastercard's move simultaneously advancing its own stablecoin capabilities while cutting off Visa's access.

TRUMP SAYS CFTC WORKING TO BRING HYPERLIQUID TO THE US

At today's White House crypto meeting, Trump said CFTC Chairman Mike Selig is working to bring Hyperliquid into the United States in a fully compliant and legal fashion. The comments sent HYPE up 11%. Hyperliquid runs its order book fully onchain, operates 24/7, currently bars US users, and has grown into a top-10 token (~$15B market cap) largely on perpetual futures, including licensed contracts on stocks, gold, oil, and indices, which now make up roughly half its volume.

ALIGNED AIRDROP DETAILS

Aligned Layer announced its Genesis Drop, allocating 8.74% of the 10 billion ALIGN total supply to the community, with 44.36% of that pool (roughly 3.88% of total supply) unlocking at TGE. The community tranche (6.54% of supply) uses a tiered unlock: allocations at or below 10,000 ALIGN vest fully at TGE, while larger allocations receive 10,000 tokens at TGE with the remainder distributed linearly over 12 months. A distinguished contributors bucket (2.10% of supply) directs 1.5% to Protocol Guild and 0.2% each to L2BEAT, ZachXBT, and ZK Podcast, with almost none unlocking at TGE and the remainder vesting over 47 months.

NATURAL RAISES $100M CREDIT FACILITY TO SCALE PAYMENTS FOR AI AGENTS

Natural announced up to a $100 million credit facility from Upper90, on top of $40 million in equity already raised, to fund credit extended to AI agents moving money at scale. CEO Kahlil Lalji frames payments as fundamentally a capital problem, not just software, since agent-driven transaction volume will require credit deployment at a rate that far outpaces any human-led payments vertical.

TEMPO: WHERE SPECIALIZED BLOCKCHAINS ARE HEADED

Tempo is a payments-focused L1 incubated by Stripe and Paradigm, assembled from Commonware's independently composable primitives (consensus, data dissemination, and cryptography) rather than a fixed framework like Cosmos SDK or OP Stack, with Threshold Simplex BFT delivering 550ms deterministic finality and compact 240-byte certificates verifiable without a full node. A payment lane enforces a consensus-level gas ceiling on general traffic, guaranteeing payment transactions dedicated blockspace regardless of NFT or DeFi congestion, while a Fee AMM accepts any qualifying stablecoin and caps standard transfer fees near $0.0006. The TIP-403 policy registry lets stablecoin issuers propagate compliance rule updates across all tokens using a given policy in a single operation, removing the per-contract drift that complicates regulated asset management at scale. The validator set is permissioned (Stripe, Visa, MoneyGram, and Zodia Custody) with regulatory accountability replacing slashing, and Tempo trades Ethereum security inheritance and IBC-style interoperability for full institutional control over the execution environment.

EVERYONE IS WRONG ABOUT TODAY'S SEC ANNOUNCEMENT

The SEC proposed "Regulation Crypto Assets," its first crypto-native rulebook, creating three legal registration paths for token launches that include promises of future work, the ICO model that has operated as an unregistered investment contract in the US since 2017. The three paths are a startup exemption (up to $5M over four years with plain-language disclosure), a fundraising exemption (up to $75M per 12 months with financial statements and ongoing reporting), and an exit certification that removes investment contract status once promised development is complete. This closes the final gap in the March SEC/CFTC five-bucket token taxonomy, making US-based L1, DeFi, and DePIN launches with explicit build commitments legally viable, though tokenized equity and profit-sharing tokens remain bucket 5 and await a separate framework. The proposal enters a 60-day comment period with final adoption expected in 2027.

COMPOUND FOUNDATION HIRES COINBASE AND ANCHORAGE ALUMNI

Compound Foundation named four executives to lead an institutional expansion: Executive Director Aaron Schnarch (former Anchorage Digital COO and Coinbase Custody CEO, with custody on 9 of 11 spot bitcoin ETFs), COO Christopher Donovan (ex-NEAR Foundation), CPO Steven Liu (ex-Maple Finance and Anchorage Digital), and CTO Leo Eikelman (ex-Coinbase Institutional). The DAO approved a $52M two-year budget via Proposal 582 in May with 1.88 million COMP in favor and zero against, split $28M for operations and $24M for institutional growth, with $38M held in a milestone-gated Program Reserve and $14M released to the Foundation multisig. The initiative targets banks and asset managers with permissioned vaults featuring KYC/AML controls, tokenized equities as collateral, and portfolio-aware risk management.

NEYNAR SEEKS BUYER FOR FARCASTER SEVEN MONTHS AFTER ACQUISITION

Neynar is seeking a new operator for Farcaster, Clanker, and its developer platform seven months after acquiring the assets from Merkle Manufactory in January. Protocol fees collapsed from $35.43 million in Q1 2026 to $376,740 through mid-August, with the trailing 24-hour figure at $4,001, a 99% decline that has halted token buybacks and dropped holder revenue from $3.98 million in Q1 to zero in Q3. Neynar will return its remaining balance sheet and disband its team as it fields buyers, with CLANKER trading at $12.29 against a $12.12 million market cap. The collapse follows Farcaster's December 2025 pivot from consumer social to wallet functionality, a strategic shift that failed to arrest declining user activity after Merkle Manufactory transferred the protocol, citing the need for new leadership.

WHY COMPLIANCE ENABLES FINTECH SCALE RATHER THAN SLOWING IT

BlindPay's co-founder describes an early fraud attempt during YC as the moment he prioritized compliance, studying regulation, risk, AML, and fraud controls despite not being a compliance specialist.

OCC RACES TO FINALIZE GENIUS ACT STABLECOIN RULES BY NOVEMBER

OCC Comptroller Jonathan Gould said the agency is pushing to finalize its stablecoin rulemaking by November, after missing GENIUS Act's original July deadline, so it can start processing applications in the new year ahead of the law's January 2027 effective date.

HYPERLIQUID'S REGULATORY-ARBITRAGE BULL CASE

Hyperliquid's rise, building a fully onchain, 24/7 perps exchange outside traditional regulatory and capital constraints, was only possible within crypto.

BITCOIN REBOUNDS REMAIN LOCAL RALLIES

Glassnode's on-chain models still place bitcoin in a capitulation regime, trading below both the ~$68,500 Short-Term Holder Cost Basis and $75,800 True Market Mean.

AGENTIC TRANSACTION: TOWARDS ACID-COMPLIANT AGENT SYSTEMS

Researchers apply database-style ACID guarantees to AI agents, treating multi-step workflows as transactions that validate before committing changes, isolate failed attempts, and preserve durable state. Its ACID-Agent implementation outperformed Claude Code by up to 10.6% on a data agent benchmark, suggesting reliability-oriented agent architecture can matter as much as model scale.

SOFTWARE ENGINEERING AT A PROPRIETARY TRADING COMPANY: OPTIVER

Optiver's platform shows what happens when latency, reliability, and ML quality map directly to P&L. Roughly 950 engineers support 10M+ daily trades across a stack spanning C++, Python, Rust, Kafka, Postgres, Databricks, custom Linux kernels, and co-located hardware. The pattern is deep infrastructure ownership, not generic speed culture.

SIMPLIFYING DATA AND PRODUCT INTEGRATIONS WITH A DATA ABSTRACTION LAYER

Uber's Data Abstraction Layer decouples product integrations from changing physical tables, schemas, and backends. A logical table plus FetchData API can resolve queries across real-time and daily tables, OLAP stores, Docstore, and Hive, then roll up metrics by requested dimensions. Advertiser reporting delivery fell from weeks to under two days.

BEHIND THE SCENES: EVOLVING NETFLIX'S ADS EVENT PIPELINE FOR LIVE

Netflix rebuilt its live ads event pipeline on Apache Flink, moving metadata enrichment out of the ad-serving critical path and into stateful streaming joins. The design handles region-aware routing, late events, hourly Spark recovery, best-effort deduplication, and dual-run validation that reached over 99.99% agreement before the legacy system was retired.

POSTGRES 19: HOW OUR ADVICE HAS CHANGED SINCE WE WROTE IT

Postgres 19 mostly strengthens proven practices rather than changing them, building on async I/O with autoscaling workers while adding more resilient COPY, LZ4 compression by default, improved indexing, and smoother partition management. The core advice remains the same: use COPY for bulk loads, model hot data structurally, choose indexes carefully, and partition primarily for lifecycle management.

SPARK TIPS. PARTITION TUNING

Spark partition sizing is a throughput and stability lever: aim for enough partitions to use cores without creating tiny tasks, filter early, avoid unnecessary shuffles, and repartition around joins or writes when the current layout is wrong. The practical advice covers AQE, skew, spills, checkpoint barriers, and small-file tradeoffs.

A PREVIEW OF DUCKDB V2.0

DuckDB's upcoming 2.0 release turns the database into a much broader platform, adding client/server operation, triggers, first-class semi-structured VARIANT data, asynchronous I/O, a new SQL parser, and major storage and query-performance improvements. It also strengthens DuckDB for long-running transactional workloads and makes extensions easier to build, distribute, and maintain across versions.

SEMI-STRUCTURED DATA IN APACHE ICEBERG: MEET THE VARIANT TYPE

Iceberg v3 added a Variant type for semi-structured data, so fast-changing JSON-like records can live in one column while preserving native types like timestamps, decimals, and binary values. It uses Parquet's binary encoding, works across supported engines including Spark and Flink, and can be queried from Spark SQL with variant_get.

I SPENT 10 HOURS VIBE-CODING A TOOL TO VISUALIZE ANY PARQUET FILE'S INTERNALS

A small browser tool parses Parquet files with Rust arrow-rs and exposes the internals that usually stay hidden: row groups, column chunks, pages, schemas, encodings, Bloom filters, sizes, and min/max statistics. It is a useful teaching and debugging aid for understanding why columnar files behave the way they do.

(RE)BUILDING A FAQ SYSTEM FOR DATATALKS.CLUB

DataTalks.Club rebuilt its FAQ bot around curated GitHub issues, Slack threads, YouTube transcripts, and explicit evaluation cases. The serverless design keeps retrieval simple enough for AWS Lambda, but puts effort into labels, review batches, and costly false-closure checks. It is a useful reminder that RAG quality starts with maintained data.