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  1. 422

    tokenizers v1: encode, decode and scaling, measured

    Hugging Face has released `tokenizers` v1, a major performance update that achieves 3-30x faster encoding than v0.23 while maintaining identical output and API compatibility. Key optimizations include a SIMD-accelerated splitter, a thread-local word cache, and an allocation-free BPE merge loop, ensuring tokenization doesn't bottleneck ML workflows.

    Hugging Facehuggingface.co10 min
  2. 427

    Quoting voxium

    A new engineer observes that a big company's reliance on AI for all artifacts (code, specs, tickets) leads to human bottlenecks. Despite AI generating everything, engineers work long hours because nobody understands the output, making the team slow.

    Simon Willisonsimonwillison.net1 min
  3. 428

    Learning Foresight without Explicit Trajectories for 3D Diffusion Policies

    This paper introduces Movement Trend Guidance (MTG), a method to provide foresight to 3D diffusion policies for robotic manipulation without explicit trajectory planning. MTG learns a compact latent representation of interaction evolution, significantly improving performance on various benchmarks with minimal parameter overhead.

    Hugging Face Daily Papersarxiv.org1 minpaper
  4. 431

    Notes on discrete-time Fourier series and transform

    This post details the Discrete-Time Fourier Series (DTFS) for periodic discrete signals and the Discrete-Time Fourier Transform (DTFT) for non-periodic ones. It derives their formulas, shows their properties, and explains their close relationship as theoretical foundations for digital signal processing.

    Eli Benderskythegreenplace.net7 minHN15
  5. 432

    CERA-MoA: Co-Evolving Routing Mechanisms with Continually Learning LLM Agents

    CERA-MoA proposes a reinforcement‑learning loop where a router and a set of LLM agents are trained together. A “familiarity” estimator reads mid‑layer hidden states to predict each agent’s competence on a query, letting the router activate only a minimal subset of agents that meet a cumulative confidence threshold. The system also feeds targeted training examples to agents based on their evolving…

    Hugging Face Daily Papersarxiv.org1 minpaper
  6. 433

    Should you read the code, is RAG dead, and did Skills kill MCP?

    The article debunks five common AI‑tool hot takes, arguing you still must read AI‑generated code, AI fluency matters in hiring, MCP and Skills serve different purposes, RAG remains useful, and needing fine‑tuning signals a messy codebase. It offers concrete rules for reviewing generated code and integrating AI components responsibly.

    GitHub Oldgithub.blog5 minHN3
  7. 434

    Changing the game: How Google uses agentic AI to secure hundreds of millions of lines of code

    Google’s AI & Infrastructure team built an agentic pipeline (Mantis) that runs pre‑submit AI‑driven scans on every code check‑in, validates findings with a fast triage agent (AST + call‑graph analysis) achieving >92% precision in <1 min, then auto‑generates fixes via a bug‑fix agent. Localized threat models and a two‑step scan cut false‑positives to ~3% and prevent hundreds of vulnerabilities eac…

    Google Cloud Bloggoogle.com4 min
  8. 438

    Shared Selective Persistent Memory for Agentic LLM Systems

    Apple proposes a memory architecture for agentic LLMs that selectively persists reusable context (specs, schemas, configs, constraints) across sessions and users. Shared workspaces with role‑based access and a zero‑token data‑refresh mechanism cut token usage by 97×, reduce task time by 14×, and raise task‑completion rates to 96% versus 71%‑79% for baselines.

    Apple Machine Learning Researchapple.com1 minpaper
  9. 439

    Open-weight models take 56% of token volume, Astra doubles Fable 5.1 spend

    Vercel’s September AI Gateway Production Index shows open‑weight models processing 56% of token volume (up from 7% in Dec 2025) while accounting for only 14% of spend. Token price fell 23.2% month‑over‑month. Anthropic’s Opus 5 captured 22.5% of spend, overtaking Fable 5 which dropped to 4.9%. OpenAI’s new GPT‑6 Astra grabbed ~7.7% of total gateway spend in its first 12 days, more than double Ant…

    Vercelvercel.com6 minHN2
  10. 442

    Postgres on NVMe: performance and the convergence of transactions and analytics

    Local NVMe storage cuts Postgres I/O latency from ms to µs, yielding ~9× higher TPS and 10× lower transaction latency on a 482 GiB pgbench workload. The gain comes from reduced IO wait, not more CPU work. To retain durability, combine NVMe with quorum synchronous replication and continuous WAL archiving (WAL‑G). For analytics, offload scans to ClickHouse via WAL‑based CDC (pg_clickhouse or the ne…

    ClickHouseclickhouse.com8 min
  11. 443

    DACA-GRPO: Denoising-Aware Credit Assignment for Reinforcement Learning in Diffusion Language Models

    DACA‑GRPO adds denoising‑aware credit assignment to GRPO‑style RL trainers for diffusion LLMs. It computes per‑token importance scores from intermediate denoising steps and uses stratified masking to reduce mean‑field bias in likelihood estimates. Plug‑and‑play on three existing GRPO methods, it yields consistent gains on seven downstream tasks (up to +5.6 pp math, +7.4 pp code, +36.3 pp constrai…

    Apple Machine Learning Researchapple.com1 minpaper
  12. 444

    Worker Backpressure (Part 1)

    Canva added a lightweight, local backpressure loop to its queue worker library that monitors per‑message success/failure, computes a backoff factor against a configurable failure‑rate set‑point, and throttles the worker’s concurrency. In two real incidents the mechanism kept failure rates under 2 % fleet‑wide, limited DLQ growth to a handful of messages, and maintained throughput without manual i…

    Canvacanva.dev10 min
  13. 446

    Android 17 Without the Last-Minute Scramble

    CodeName One prepared for Android 17 (API 37) by addressing platform changes proactively, including fixing version number parsing and implementing the new system-rendered location button. They also added robust PEM key parsing and explicit task removal to simplify common security operations for app developers.

    CodeName Onecodenameone.com8 min