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University of Manchester Uses NVIDIA Earth-2 to Forecast Air Pollution Across the UK

University of Manchester retrained NVIDIA Earth-2 CorrDiff and StormCast on Isambard-AI to forecast UK air pollution at 2-3 km resolution.

University of Manchester researchers led by professor David Topping adapted NVIDIA's Earth-2 generative AI frameworks to forecast air pollution across the UK. Earth-2 CorrDiff was retrained in two days on a single eight-GPU node of Isambard-AI (5,448 GH200 Grace Hopper Superchips, 21 exaflops) using a year of hourly simulated pollution data, producing a UK-wide model at 2-3 square kilometer resolution. The team added Earth-2 StormCast for time-dependent forecasts that ingest real air quality observations, and demonstrated the workflow runs on the DGX Spark desktop AI system. Open-source training data and workflows are planned so other countries and cities can build similar pollution models.

NVIDIA Blog · 1d agoAI industry

[AINews] Reality Checks on AI News (Yegge shuts down Gas Town, Databricks’ +60% Astra cost)

Latent Space AI news roundup: Steve Yegge shuts down Gas Town, Databricks reports 60% higher coding spend on GPT-6 Astra, OpenAI launches misalignment disclosure framework.

Latent Space's AI News digest for September 15-16, 2026 leads with Steve Yegge shutting down his Gas Town orchestrator despite spending thousands monthly on coding-agent subscriptions. Databricks rolled out GPT-6 Astra to roughly 3,500 engineers, reporting superior long-horizon performance over Opus 5 and Sol 5.6 but a ~60% increase in coding spend. OpenAI published a formal framework for disclosing model misalignment incidents with six case reports, while Microsoft and Google Research released safety papers on 'capability laundering' and the Fuse motive-inference benchmark. Xiaomi shared live RL training telemetry for MiMo-V2.6, estimated at $493k/day for the 1T-class Pro run.

Latent Space · 2h agoAI industry 12 sources

Heart of the Matter: How a Major Children’s Hospital Uses Open Source NVIDIA AI for Cardiac Care

Children's Hospital of Philadelphia uses NVIDIA open-source MONAI, Warp and Newton to build pediatric heart models in seconds for surgical planning.

CHOP's cardiac modeling service uses MONAI, Auto3DSeg and SlicerHeart to turn CT, MRI and 3D ultrasound images into anatomically precise heart models in seconds instead of four hours of manual work. More than 20 US children's hospitals run similar programs, with Boston Children's supporting roughly 500 cardiac surgery cases a year. NVIDIA's Newton physics engine, built on the Warp Python framework, aims to reduce device simulations from hours to near real time in clinical workflows.

NVIDIA Blog · 2d agoAI industry

Apple's Siri AI Can Be Swapped Out for Claude, ChatGPT, Code Shows

Code analysis of iOS 27 and macOS Golden Gate frameworks shows Apple engineered Siri to deeply interoperate with third-party AI models like Claude and GPT-5.6.

Code sleuth 'pdfu' uncovered private frameworks in iOS 27 and macOS Golden Gate revealing a 'Model Delegation' mechanism that lets Claude act as a Siri extension like the built-in ChatGPT extension. A second 'Inference Providing' protocol in Model Manager Services can fully replace Siri's server-side model with models such as GPT-5.6, which then receives Apple's Siri planner prompt and tool definitions to perform system actions and process personal data. The EU Digital Markets Act, which requires Apple to give third parties effective access to iOS features, may have shaped this approach. The entitlement is not yet open to third parties and Claude is not yet available in the macOS 27 Golden Gate RC.

Hacker News · AI · 2d agoAI industryHN 57↑ · 14 comments

Physical AI Takes the Wheel: How the World’s Robotaxi Leaders Are Building With NVIDIA Technologies

NVIDIA details a three-computer robotaxi platform that Uber, Lyft, May Mobility, Mercedes-Benz and others are adopting to scale autonomous fleets.

NVIDIA says every major commercial robotaxi program runs on its stack, spanning training (DGX with Alpamayo VLA models), simulation and validation (Omniverse, Cosmos, AlpaSim on RTX PRO), and in-vehicle compute (DRIVE Hyperion 10 with dual DRIVE AGX Thor chips). Adding meta-action and chain-of-thought reasoning data to a VLA model reduced minimum average displacement error by 43%, from 2.08 to 1.18. Uber plans NVIDIA DRIVE Hyperion-based fleets across 28 cities by 2028, partnering with Autobrains, Avride, Lucid, May Mobility, Mercedes-Benz, Momenta, Nissan, Nuro, Pony.ai, Stellantis, Waabi, Wayve, WeRide and Zoox. DRIVE Hyperion 10 combines 14 cameras, nine radars, three lidars and 12 ultrasonics with redundant compute and NVIDIA Halos safety validation.

NVIDIA Blog · 6d agoAI industry

Why the current tech backlash feels different

The Verge's Decoder mailbag discusses the current tech backlash, arguing AI hype overstates verifiability outside software engineering.

Nilay Patel's Decoder mailbag episode addresses listener feedback on the widely discussed 'software brain' essay. He argues AI hype is concentrated on software because code is verifiable through compilation, while domains like drug discovery, math and science lack equivalent verifiability. The episode also touches on AI backlash, surveillance, data centers and upcoming midterm coverage.

The Verge · AI · 6d agoAI industry1

NVIDIA Brings Real-Time AI to Broadcast, Sports and Global Streaming at IBC

NVIDIA expanded its AI for Media suite at IBC 2026, adding NIM microservices for synthetic video detection, body pose, frame generation, upscaling and HDR.

At IBC 2026 in Amsterdam, NVIDIA announced a major expansion of NVIDIA AI for Media, a collection of GPU-accelerated SDKs, NIM microservices and blueprints for broadcast and streaming workflows. The Synthetic Video Detector (SVD) NIM microservice reaches 99.3% accuracy on text-to-video and 97.7% on image-to-video content, while Video Frame Generation boosts frame rates 2x-4x and Video Super Resolution adds 10-bit support; TrueHDR converts SDR to HDR at up to roughly 2,000 nits. Partners including Dalet, TwelveLabs, Wowza, Vizrt and Ross Video are integrating the new services into verification, compliance and live-production workflows.

NVIDIA Blog · 7d agoAI industry

Not everyone is convinced that Big AI's proposed development slowdown is really about safety

Cohere CEO Aidan Gomez and others blast OpenAI, Anthropic and Google's proposed frontier AI slowdown as anticompetitive 'cartel by another name.'

Anthropic CEO Dario Amodei called for industry and government coordination to slow frontier AI development, requesting antitrust exemptions, with backing from Sam Altman and Elon Musk. Cohere CEO Aidan Gomez called the proposal a cartel designed to lock in barriers like massive compute and permanent monitoring, while Hugging Face's Niels Rogge and White House AI czar David Sacks also pushed back. Trump labeled AI takeover warnings a hoax, and China rejected the slowdown plans as a US ploy.

The Decoder · 2d agoAI industry

Is Big Tech’s AI slowdown a safety pact or a cartel?

Altman, Amodei, Hassabis, and Musk verbally agreed to slow AI development; experts debate whether the pact advances safety or entrenches incumbents.

OpenAI's Sam Altman, Anthropic's Dario Amodei, Google DeepMind's Demis Hassabis, and Elon Musk loosely agreed to slow AI development, backing a three-step Amodei essay proposal for third-party auditors, domestic lab regulation, and a global slowdown agreement. Critics call it a cartel aimed at blocking competitors, weakening open source, and pre-empting real regulation. The pact follows mounting safety concerns, including rogue AI agent hacks at Anthropic and OpenAI, Jacob Coxon's resignation letter (viewed over 170 million times on X), and a July slowdown letter signed by 1,000+ lab employees after the OpenAI-Hugging Face incident. Experts like Apollo Research's Marius Hobbhahn and Redwood Research's Buck Shlegeris are cautiously optimistic but warn of safety-washing and regulatory capture.

The Verge · AI · 2d agoAI industry

Now everyone can put data to work

OpenAI launched a Data agent in ChatGPT Work that connects to enterprise warehouses and builds shareable analysis dashboards without SQL.

OpenAI introduced a Data agent in ChatGPT Work that connects to approved sources including Snowflake, BigQuery, Databricks, Redshift, ClickHouse, MongoDB, and Datadog, plus files from Google Drive and SharePoint. It investigates metric changes, builds interactive dashboards, and integrates with BI tools such as Power BI, Tableau, Omni, Sigma, and ThoughtSpot using semantic layers from dbt, Databricks Genie Ontology, and Snowflake Horizon. Queries enforce the connected account's existing table, row, and column permissions, with administrators controlling access via Workspace settings. OpenAI says nearly all of its product team and over two-thirds of its GTM organization use it internally, and NTT Data, Thermo Fisher, and ServicePiston are Alpha customers.

OpenAI News · 6d agoAI industry

OpenAI reports AI "research interns" and warns about its own pace at the same time

OpenAI claims its automated research intern milestone is met, with agents now doing 3.1 workdays per human day, while Pachocki warns monitoring is weakening.

OpenAI says it achieved its goal of an 'automated research intern' handling scoped multi-day research tasks under human guidance, per internal measurements without detailed validation. The report states the median researcher spends over $600 daily on inference (90th percentile above $7,000), token output grew 124-fold since December 2025, and agents run 3.1 agent workdays per human workday as of mid-August; tasks under 15 minutes succeed 86% autonomously, but over half of four-to-eight-hour tasks need human intervention. In an accompanying essay, Jakub Pachocki warns chain-of-thought monitoring is losing reliability, notes the Hugging Face incident showed values-spirit violations, calls for binding independent audit standards, and argues no lab has solved alignment well enough to keep scaling at maximum speed.

The Decoder · 9d agoAI industry

NVIDIA and CrowdStrike Strengthen Agentic Cybersecurity Frontier

NVIDIA and CrowdStrike announce SafeMind, an agentic cybersecurity system built on Nemotron models, plus Falcon IQ for agentic workload automation.

At CrowdStrike's Fal.Con 2026, NVIDIA and CrowdStrike announced SafeMind, an agentic cybersecurity system combining CrowdStrike's purpose-built frontier models and harnesses with NVIDIA Nemotron open models in a continuous red-versus-blue coevolution loop. A Blue Solano model post-trained on Nemotron 3 Super reportedly achieved higher accuracy than leading frontier models at 99% lower cost. CrowdStrike also introduced Falcon IQ, powered by Nemotron models in the Charlotte AI AgentWorks platform, coordinating more than 50 agents for automated defensive workflows. CrowdStrike cited an 89% year-over-year rise in AI-enabled attacks and a fastest eCrime breakout time of 27 seconds as context for agentic defense.

NVIDIA Blog · 15d agoAI industry

PRs NOT Welcome: How Top AI Open Source Projects Are Managing Thousands of Contributors

Top AI open source projects like Vercel, Astro, Flue, and tldraw are restricting external PRs and using agent-based software factories to triage, fix, and review contributions.

Several prominent AI-native open source projects are closing or limiting external pull requests, largely because submissions are often AI-generated. Vercel built a multi-agent software factory for its AI SDK (over 20 million weekly npm downloads) that now authors 25-35% of merged PRs and closes 70-80% of issues. Astro adopted similar auto-triage automation, Fred Schott created the Flue framework with automatic PR-to-issue conversion, and tldraw automatically closes external PRs.

Latent Space · 15d agoAI industry

[AINews] 10% worse, 100x cheaper, 10000x faster: Why Simulation is taking over

Latent Space argues AI training pipeline stages—rewards, data, teachers, curricula, environments—are flipping from human-made to model-made simulation.

Latent Space's AINews essay traces how each component of AI training has turned synthetic since 2022: reward models (InstructGPT, RLAIF), synthetic pretraining data (Microsoft Phi, NVIDIA Nemotron-4 340B), model teachers (Alpaca, DeepSeek-R1 distillation), and self-generated curricula (Self-Rewarding Language Models, SPIN). In 2026 it highlights Karpathy's autoresearch loop—700 experiments yielding 20 kept improvements, cutting GPT-2 training time from 2.02 to 1.80 hours—and Z.ai's GLM-5.3 fully synthetic RL environment, judging, and verification stack. It frames these shifts as 'simulation': 10% worse but 100x cheaper and 10,000x faster than human equivalents.

Latent Space · 26d agoAI industry

Underwriting Superintelligence: Backing Agents you can Sue — Rune Kvist, AIUC

AIUC raised a $40 million Series A to build AIUC-1, an agent security standard backed by insurance, serving Cursor, Harvey, Lovable, and ElevenLabs.

AIUC, cofounded by former Anthropic product hire Rune Kvist, announced a $40 million Series A led by Ribbit Capital and First Harmonic. The startup builds AIUC-1, an emerging standard for agent security, safety, and reliability, stress-testing agents for jailbreaks, hallucinations, and data leaks. It pairs standards with insurance underwriting through Lloyd's of London and counts Cursor, Harvey, Lovable, and ElevenLabs among its customers. Kvist argues trust and liability, not capability, are becoming the binding constraint on AI adoption.

Latent Space · 15h agoAI industry 2 sources

Big Tech’s AI safety rift signals disruption and disparity for enterprises

Diverging AI safety stances among major labs will make frontier model access less predictable, pushing enterprises toward routing layers and independent validation.

A public rift among leading AI labs over safety approaches - Meta's Zuckerberg backing neutral evaluators, Dario Amodei urging a slower pace, and Sam Altman calling for collaboration on standards - is creating operational challenges for enterprise IT. Analysts from Gartner and others say divergent vendor release schedules, access tiers, and regional restrictions will make frontier model access less predictable, effectively treating frontier AI as a managed supply with pricing premiums. Recommendations include routing layers between applications and providers, contractual deprecation terms, and independent validation of models before production use.

CSO Online · 17h agoAI industry

NVIDIA Vera Rubin NVL72 Delivers Leading Performance in MLPerf Inference v6.1 Debut

NVIDIA's Vera Rubin NVL72 debuts in MLPerf Inference v6.1 with up to 3.7x higher throughput than GB300 NVL72 and 99% scaling efficiency at 288 GPUs.

In its first MLPerf Inference preview submission, NVIDIA's Vera Rubin NVL72 achieved up to 3.7x higher throughput than GB300 NVL72 on Qwen3-VL and 2.5x on DeepSeek-R1. A 288-GPU GB300 NVL72 submission across four racks reached 99% scaling efficiency on the DeepSeek-R1 offline benchmark. Software optimizations delivered up to 1.6x gains over v6.0, leveraging TensorRT-LLM, vLLM, Dynamo, disaggregated serving, and NVFP4 precision.

NVIDIA Blog · 18h agoAI industry 2 sources

Emerald AI, Google and NVIDIA Launch Alliance to Advance Flexible AI Data Centers

Emerald AI, Google, and NVIDIA launched the AI Energy Management Alliance to promote power-flexible, grid-responsive AI data centers.

Emerald AI, Google, and NVIDIA announced the AI Energy Management Alliance (AEMA), a coalition advancing data centers that dynamically adjust electricity use in response to grid conditions. The technology-neutral, performance-based alliance will standardize flexibility requirements, define ride-through and curtailment obligations, and create faster interconnection pathways for facilities making verifiable flexibility commitments. It plans to convene AI platforms, data center operators, utilities, power producers, and grid operators to support US AI infrastructure growth.

NVIDIA Blog · 20h agoAI industry

Former Infosys chief’s AI startup nabs another $53M

Hang Ten Systems, founded by ex-Infosys CEO Vishal Sikka, added $53 million to its seed round, bringing total funding to $85 million.

The new round was led by Temasek's early-stage platform Xora with Mayfield participating, closing five weeks after the initial $32 million seed. Founded in May 2026, the Palo Alto startup advises enterprises with over $10 billion in annual revenue on AI strategy and builds production software using its in-house Hobie framework of reusable AI skills. It works with 21 major enterprises including Fresenius Kabi, Saudi Aramco, and Siemens Energy, and plans to expand engineering, consulting, and sales teams.

TechCrunch · AI · 20h agoAI industry

How workers are unlocking new ways of working

OpenAI's analysis of 1.5 million ChatGPT work messages finds cross-occupation AI tasks becoming recurring parts of workers' routines.

OpenAI's latest Work at the Frontier research analyzed more than 1.5 million work-related ChatGPT messages from April through July 2026. Among roughly 6,200 consistently observed workers, previously used cross-occupation tasks grew from 13.1% of occupation-specific AI activity in April to 25.9% in July. Workers returned to a cross-occupation task used the prior month 23.6% of the time versus an 8.4% baseline, with an average next-month return rate of 18.5%. Recurrence was highest for customer discussions (54%), advertising copy (44%), and marketing materials (37%), suggesting AI may broaden jobs before titles change.

OpenAI News · 1d agoAI industry

Tell HN: iOS 27 does not allow Apple Intelligence to be disabled

Hacker News discussion argues Apple Intelligence is a marketing umbrella for disparate long-standing ML features, explaining why iOS 27 lacks a disable switch.

A 'Tell HN' post reports that iOS 27 does not allow users to fully disable Apple Intelligence. Discussion replies argue 'Apple Intelligence' is a marketing term covering disparate features rather than a single product. Commenters cite long-standing local-model features such as image OCR, battery-life prediction, and the Latent Semantic Mapping text classification framework available since 2007.

Hacker News · security · 2d agoAI industryHN 30↑ · 2 comments

Why you should work on AI for AI Research — Richard Socher of Recursive

Richard Socher's new lab Recursive, backed by $4.65B seed, targets AI systems that automate AI research itself.

Latent Space interviews Richard Socher, founder of You.com and AIX Ventures, about his new venture Recursive, which raised a $4.65 billion seed round to build the 'Eureka Machine' — a superintelligence for automating invention and AI research. Early claimed results include an AI research system outperforming humans and their agents on optimization tasks within two days, and NVIDIA GPU kernel improvements discovered without CUDA experts. Discussion spans reward hacking, constitutional AI critique, AI regulation, open-source models as geopolitical soft power, and hard-takeoff constraints.

Latent Space · 2d agoAI industry1

Sam Altman calls for pacing AI development but promises rapid progress will continue

Sam Altman urges paced AI development with pre-training safety protocols as OpenAI, Anthropic, and Google discuss independent self-regulation oversight.

Sam Altman called for a uniform nationwide safety framework for advanced AI while insisting progress will remain rapid, saying pacing is not stopping. OpenAI now sets explicit safety protocols before training runs that could yield major capability jumps, and Altman hopes other companies propose their own approaches. Dario Amodei, Demis Hassabis, Satya Nadella, and Elon Musk also backed better-controlled AI development. The Information reports OpenAI, Anthropic, and Google have discussed self-regulation through an independent oversight body, while smaller players like Cohere warn of cartel dynamics.

The Decoder · 2d agoAI industry

Mecka AI nears $500M valuation in Sequoia-led deal amid rush for robot training data

Mecka AI, which collects human motion data for robot training, is nearing a Sequoia-led round at about a $500 million valuation.

Mecka AI is nearing a new funding round led by Sequoia Capital at a valuation of roughly $500 million, three months after raising $60 million led by Framework Ventures with participation from Menlo Ventures, SV Angel, and Kindred Ventures. Founded in 2024 by Josh Gao, Mogen Cheng, Jason Chong, and Duy Nguyen, the startup pays people to record everyday tasks using body sensors and smartphones to produce egocentric training data for humanoid robots. The company projected a $100 million annual run rate by the end of 2026 and competes with firms like Scale AI, Mercor, Surge, Micro1, and XDOF in the physical-world data market.

TechCrunch · AI · 5d agoAI industry1

Ask HN: Anyone still coding like 2021? Where do you work?

Hacker News users debate coding without LLMs, with one developer fired for refusing AI tools and others describing daily hand-coding practice to counter skill atrophy.

An Ask HN thread collects experiences of developers who still write code without LLM assistance. One contributor says he was fired for political reasons after refusing to use LLMs despite adequate stated performance, and observes fewer job ads now require LLM use. Others describe starting each day with a LeetCode problem or 30-60 minutes of hand-coding to stay sharp, contractual bans on AI-generated code for a government-adjacent embedded product over unresolved copyright issues, and inconsistent corporate policies where ChatGPT or Codex use flip-flops between allowed and blocked while a CIO mandates 70-80% AI-generated code next year.

Hacker News · AI · 7d agoAI industryHN 47↑ · 54 comments2

AWS is using Qualcomm for AI inference while Qualcomm uses AWS Bedrock to design the chips

Qualcomm will design custom AI inference chips for AWS while using Bedrock for chip design, its third major data center win since June.

Qualcomm is designing custom AI inference chips for AWS across multiple product generations and co-developing optical interconnects with up to 1.6 Tbps bandwidth. In return, Qualcomm uses Amazon Bedrock to accelerate its chip design process. The deal is Qualcomm's third major data center win since June, after Meta adopted the Dragonfly C1000 server processor and Microsoft began deploying Qualcomm's HBC memory architecture in Azure; Qualcomm targets $15 billion in data center revenue by 2029.

The Decoder · 7d agoAI industry1

Microsoft’s Project Zenith puts large AI models directly on developer PCs

Microsoft's Project Zenith delivers a ready-to-code Windows 11 experience running 30B+ parameter AI models locally on 64GB+ unified-memory PCs, starting with AMD Ryzen AI Halo.

Project Zenith is a preconfigured Windows 11 developer experience for PCs with at least 64 GB of unified memory and 250 GB/s or higher memory bandwidth, capable of running AI models with more than 30 billion parameters locally without metered cloud tokens. First systems are powered by AMD Ryzen AI Halo, with additional OEM and silicon partner devices expected in coming months. The environment ships with WSL and Linux containers, pinned developer tools, and day-one AI agent security features including OS-enforced agent identity and containment through Microsoft Execution Containers (MXC).

Help Net Security · 9d agoAI industry1

Opaque recurrence, and other AI terms that you should probably know

TechCrunch updates its plain-English glossary defining common AI terms from AGI and agents to chain-of-thought reasoning.

TechCrunch maintains a regularly updated glossary of AI terminology, defining terms such as AGI, AI agents, API endpoints, chain of thought, coding agents, compute, deep learning, and diffusion. It highlights 'opaque recurrence', the reasoning technique in OpenAI's new Astra model that has drawn attention from AI safety researchers. The piece is an educational living document rather than new research or a product announcement.

TechCrunch · AI · 9d agoAI industry1

The complex corporate web behind a $3.2 billion AI data center

Ars Technica probes diffuse accountability behind TeraWulf's $3.2B Lake Mariner AI data center after a June fire exposed safety and job gaps.

A June fire at the Lake Mariner data center in Somerset, New York exposed missing alarms, a nonfunctioning suppression system, and dry hydrants, highlighting how responsibility is split across TeraWulf (owner-operator), Fluidstack (operator), Google (lease guarantees and equity warrants), and Anthropic (compute customer). The article details local concerns over the gap between promised 165 permanent jobs and a projected 35-40, socialized grid costs, and Governor Hochul's moratorium on hyperscaler development. Anthropic's February 2026 pledge to cover electricity price increases applies to the site but leaves other commitments unverified.

Ars Technica · AI · 9d agoAI industry

Architecting memory and storage in the AI era

Analysis argues AI inference shifts data-center bottlenecks to memory and storage, urging balanced compute, memory, storage, and network architecture over raw compute.

MIT Technology Review, citing Tirias Research principal analyst Jim McGregor, argues that AI inference and agentic workloads make data movement the key constraint, elevating memory and storage from background hardware to strategic assets. The piece says RAG and real-time inference require continuous data retrieval and caching that legacy infrastructure cannot support. It frames infrastructure planning as a business decision balancing performance, efficiency, cost, and scalability in healthcare, finance, and customer-facing AI.

MIT Technology Review · AI · 12d agoAI industry

Meta is paying to peek at how you use their latest AI model

Meta offers roughly 95% discounts on Muse Spark token pricing for customers who share prompts and outputs to train future models.

Meta's contributor pricing tier for its Muse Spark agentic coding model cuts input token costs from $1.25 to $0.10 per million and output tokens from $4.25 to $0.20 per million in exchange for access to user prompts and outputs. The move reflects labs' difficulty obtaining training data for agentic workflows, following Meta's paused employee computer-usage tracking initiative. Analysts note the incentive could push enterprises to clarify which data is shareable, and it fits broader price competition against Anthropic's Fable and Mythos models and OpenAI's July price cuts.

TechCrunch · AI · 13d agoAI industry

Sparks Fly: NVIDIA Accelerates Local AI at IFA 2026

NVIDIA announces local AI push at IFA 2026 with faster llama.cpp/vLLM inference, PAIR routing tool, and October RTX Spark PCs.

At IFA 2026, NVIDIA announced simplified local AI support for agents in Hermes Agent, OpenClaw, and Perplexity Portable Computer, plus new llama.cpp and vLLM optimizations delivering up to 1.9x faster local inference. NVIDIA also unveiled PAIR, a Personal AI Router for distributing inference across a local network's PCs, and compact RTX Spark Windows PCs from Lenovo and Acer arriving in October. The post recaps recent local-capable model releases including Nemotron 3.5 Lightning (30B), Qwen3.8-Flash-Next and Qwen3.8-27B, DeepSeek v4 Flash (284B MoE, 13B active), Meta Muse Glimmer (30B), Z.ai GLM-5.3-Flash, LTX 2.5, and MiniMax-H3 with the FastH3 distilled variant.

NVIDIA Blog · 13d agoAI industry

NVIDIA to Acquire Hugging Face

NVIDIA agreed to acquire Hugging Face for $12.93 billion while pledging to keep the platform open, multi-cloud and vendor-neutral.

NVIDIA announced an agreement to acquire Hugging Face for $12,930,300,000. Hugging Face hosts more than 3 million models, 500,000 datasets and 1 million applications used by over 18 million developers and 200,000 companies. NVIDIA says the platform will remain open, with no requirement to use NVIDIA compute, and will continue supporting multi-cloud and multi-accelerator development and deployment. NVIDIA is already Hugging Face's largest contributor of open models and datasets, with more than 500 models and 250 open datasets released.

NVIDIA Blog · 13d agoAI industry

When AI quietly breaks things, who pays?

Reed Smith partner David Halbreich explains how AI companies can avoid D&O/E&O coverage gaps around mergers, governance warranties, and claims timing.

In an interview, insurance recovery partner David Halbreich of Reed Smith outlines insurance pitfalls for AI companies under claims-made D&O and E&O policies. He highlights 'straddle' claims after mergers that fall between tail coverage and go-forward policies, potentially leaving policyholders with no coverage. He also warns that governance artifacts submitted in insurance applications, such as bias testing records and model cards, can become warranties carriers use to deny claims, and discusses who should answer AI-use questions and how business interruption coverage applies to cloud and compute vendor outages.

Help Net Security · 14d agoAI industry