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All AI news

Today 4 items
Oct 15Thu
  1. NVIDIA Blog71

    Open From Data Center to Desktop: NVIDIA Expands Nemotron Family With Highest Efficiency Super VL and Bolt Models

    NVIDIA has released the open-source 120-billion-parameter multimodal model Nemotron 3.5 Super VL, plus two on-device models — Nemotron 3.5 Bolt 74B-A9B 24GB (already available) and Bolt E4B 4GB (available October 23) — covering agent deployment from data centers to local hardware.

    Why it matters: NVIDIA discloses parameters, quantization and deployment tiers for the three open Nemotron models, so readers can pick the enterprise, workstation or 4GB on-device option that fits.

  2. TechCrunch · AI54

    Google’s Universal Cart shopping tool launches in the US

    Google announced Universal Cart is now available in the US, letting users save and track items across multiple retailers in Search and the Gemini app. The tool supports price-drop and restock notifications, recommends payment options combined with credit card benefits and surfaces promo codes. Checkout is based on the Universal Commerce Protocol (UCP), an open standard Google launched earlier this year, complementing features such as conversational product discovery in AI Mode and Let Google Call.

  3. The Verge · AI58

    Benn Jordan on Flock, privacy, and the new surveillance backlash

    On The Verge’s Decoder podcast, investigative journalist Benn Jordan discussed Flock’s automated license plate recognition (ALPR) system: he recently testified before the Senate Judiciary Committee’s crime and counterterrorism subcommittee, Flock is facing hundreds of local governments canceling contracts, an investigation by Republican Senator Josh Hawley, and Reuters reported plans to cut about 18% of its workforce.

  4. Hugging Face Blog64

    Apertus 1.5 Release Notes

    Project Apertus has released Apertus 1.5, adding image and audio understanding and an optional thinking mode to its 8B and 70B models via continued pretraining, and extending the context window to 262,144 tokens — 4x that of Apertus 1.0.

    Why it matters: The official release notes fully document the training pipeline, open data and intermediate checkpoints, letting readers trace how the multimodal and reasoning capabilities were built.

  5. Simon Willison81

    Anthropic tells investors quarterly revenue up nearly 50% to $16.8bn ahead of IPO

    During IPO preparations, Anthropic met investors on Wednesday and, per the FT, disclosed quarterly revenue of about $4.8bn (Q1), $11.5bn (Q2) and $16.8bn (Q3), up nearly 50% quarter over quarter. In Q3 every $1 of compute spend generated $1.70 in revenue, adjusted operating margin excluding stock-based compensation was 11%, and distillation accounted for 5–7% of revenue, sharply cut in Q3; the author estimates that in Q2 other labs spent over $500m distilling Anthropic models.

    Why it matters: The article compiles key figures Anthropic disclosed to investors — revenue, margins and distillation share — offering insight into its business ahead of the IPO.

  6. The Verge · AI73

    Your secrets aren’t safe with this cute robot toy — they’re on Chinese servers ready to be hacked

    A Verge reporter and hacker Sammy Azdoufal tested Energize Lab’s Eiliko companion robot toy and found its service has no protections at all: full conversation transcripts are stored in a searchable database on Chinese servers, and user profiles are automatically generated covering names, ages, occupations, family members, and psychological states.

  7. The Decoder81

    Anthropic's Q3 revenue hits $16.8B but growth slows ahead of planned November IPO

    At meetings with prospective investors, Anthropic disclosed Q3 revenue of $16.8B, up about 45% quarter over quarter — far below Q2's growth of over 140%. Per The Information and the Financial Times, its adjusted operating margin for the first three quarters was 11%, it posted adjusted profits for two consecutive quarters, and each $1 of compute spend in Q3 generated $1.70 in revenue.

    Why it matters: The article aggregates Anthropic's revenue, margins and shifting IPO valuation expectations across three quarters, showing its growth slowdown and market reaction.

  8. Latent Space51

    [AINews] Modal’s $1B ARR, $16B Series D makes it NYC’s newest AI Infra Decacorn, 3x usage and 3x valuation in 5 months, 15x in 1 yr

    Modal announced its annualized revenue has surpassed $1 billion and it raised a $750 million Series D led by Accel at a $15.75 billion valuation. Usage has tripled since its Series C, growing more than 15x year over year. Sandboxes, launched in 2023, alone has reached $300 million in annualized revenue, with nearly 3 billion sandboxes launched cumulatively and the ability to scale to millions running concurrently.

  9. Semiconductor Engineering Chips and Packaging51

    How Close Are We To Fully Autonomous Chip Design?

    In a SEMICON West interview, Synopsys CEO Sassine Ghazi said the company has deployed more than 40 task agents, and some customers can hand a spec to the Synopsys Autonomous Agent to automatically generate and verify RTL — a process that used to take multiple engineers several months — though fully autonomous chip design remains out of reach today.

  10. Semiconductor Engineering Chips and Packaging46

    Agentic AI Alters The CPU-GPU Balance

    Agentic AI requires extensive if-then-else decision orchestration, work handled by CPUs; industry estimates suggest the CPU:GPU ratio could rise from roughly 1:4 in typical LLM scenarios to nearly 1:1, pushing up both CPU demand and prices.

  11. Semiconductor Engineering Chips and Packaging52

    Why Open-Weight AI Matters

    Semiconductor Engineering examines how open-weight AI models affect chip architecture, noting the focus is shifting from peak TOPS to memory bandwidth and capacity, sustained throughput, numerical format flexibility, and deployment security.

  12. Semiconductor Engineering Chips and Packaging26

    Building AI Infrastructure For Greater Choice And Flexibility

    AI training and inference have different demands for memory, compute, and interconnect, pushing AI infrastructure toward heterogeneity. UCIe provides die-to-die standardized connectivity, and with chiplet solutions lets compute, I/O, and memory interfaces be flexibly integrated in one package. At the system level, PCIe, CXL, UALink, and Ethernet must be combined with technologies like HBM4E and LPDDR6, using open standards and interoperability validation to leave room for architectural evolution.

  13. Semiconductor Engineering Chips and Packaging31

    Beyond The Specification: What Really Determines PCIe Retimer Reach?

    The actual reach of a PCIe retimer is not set by the spec but by multiple factors including SerDes architecture, controller intelligence, channel quality, and diagnostics. PCI-SIG typically requires about 36 dB insertion loss tolerance, but leading vendors' retimers can tolerate 40 dB or more, enabling longer PCB traces, more connectors, and greater manufacturing variance. As PCIe Gen6 advances, designs beyond compliance testing, interoperability, and observability become key to real-world deployment reliability.

  14. Simon Willison36

    Tree Appreciator

    Simon Willison had Claude Opus 5.5 Max build a Three.js game called Tree Appreciator in the Claude iPhone app, where the gameplay is appreciating differences between two algorithmically generated trees. Claude ran for 3 hours 7 minutes and produced a fairly playable spot-the-difference game with music, animations and an achievement system.

  15. Lam Research Semiconductor Manufacturing Technology36

    Lam and imec Expand Collaboration to Advance Manufacturability of Next-Gen 3D Integration Technologies, Explore Aether Dry Resist Use Cases

    Lam Research and imec are expanding their joint R&D collaboration with two new directions: advancing manufacturing readiness of 3D integration and advanced packaging, and advancing Aether® dry resist applications in imec's high-NA EUV research environment.

  16. Latent Space40

    Lab-in-the-Loop at Compute Speed — Ian Quigley, Leash Bio

    On a podcast, Leash Bio's Ian Quigley explained how its DNA-encoded library (DEL) technology tames high-throughput protein-small-molecule interaction data and trained the Hermes model, which matches Boltz on public benchmarks using only the company's own data. The team also uncovered tens of thousands of lab-in-the-loop simulation data points, grew into Minos within two months, and today released a preprint, blog post, and open dataset for reinforcement learning where AI agents do verifiable scientific reasoning.

  17. The Verge · AI76

    Eight states sue OpenAI, saying ChatGPT isn’t safe for kids

    Eight US states — Iowa, Kansas, Nebraska, West Virginia, Arkansas, Arizona, Idaho and Montana — have each sued OpenAI, alleging it prioritized profit over safety in developing ChatGPT in violation of their consumer protection laws.

    Why it matters: With eight separate lawsuits against OpenAI, the article lays out the allegations and each state's claims in detail, shedding light on regulators' specific concerns about ChatGPT and child safety.