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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

AI is adding to the review load on open-source projects, many of them thinly funded

ACM Technology Policy Council authors warn AI-generated code is overwhelming thinly funded open-source maintainers, raising software supply chain security risks.

Six authors including Simson Garfinkel and Josiah Dykstra, writing for the ACM Technology Policy Council, argue AI coding tools flood open-source projects with contributions that human maintainers must still review. They cite Google's CodeMender agent contributing 72 security fixes to open-source projects, some as large as 4.5 million lines of code, between April and October 2025. Funding is lopsided: the Linux Foundation raised $292,217,236 in 2024 versus $2,379,402 for the Apache Software Foundation. They also note most open-source applications still ship no SBOM despite US and EU mandates, and attackers increasingly plant malicious packages in popular repositories.

Help Net Security · 7h agoAI industry1

Exclusive: Paying for frontier AI models buys 4-month head start at 5x the cost

Mozilla report finds the capability gap between best open-weights (largely Chinese) and closed frontier AI models narrowed to 4.4 months at ~5x lower cost.

Mozilla's State of Open Source AI report (September 15) says the gap between closed frontier models and best open-weights models has closed to 4.4 months. Moonshot AI's Kimi K3 scores three points behind Anthropic's Fable 5 on the Artificial Analysis Intelligence Index at 30% of the cost, and Z.ai's GLM 5.2 scored within a point of Claude Opus 4.7 on Terminal-Bench 2.1. Eight of the top 10 OpenRouter models by August 2026 token volume provide open weights, though a Linux Foundation paper found open models earned only 4% of revenue. The report recommends open models as the default for routine workloads, reserving closed models for 8-12 hour expert tasks.

Ars Technica · AI · 1d agoAI industry1

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

Mistral X Mozilla: Private, Multilingual AI Browsing

Mistral and Mozilla partnered to power Firefox's Smart Window AI browsing assistant in France and North America, with zero data retention.

Mozilla's Firefox Smart Window (beta) AI browsing assistant is now powered by Mistral models for users in France and North America, with the UK and Germany expected later this year. Conversations are not saved on Mozilla's servers by default, and Mistral agreed to zero data retention. Both companies frame the partnership as advancing open-source, privacy-first, and regionally fine-tuned AI, with models trained on regional languages, dialects, and cultural context.

Hacker News · securityupdated · 20h agofirst · 1d agoAI industry 2 sourcesHN 35↑ · 8 comments2

AI for everyone in every language

Google says its AI now spans 300+ languages reaching 7 billion people, unveiling Gemini 3.5 Transcribe, Live Translate, and TranslateGemma models.

Google announced its technologies now support more than 300 languages spoken by 7 billion people, 86% of the global population. Gemini 3.5 Live Translate powers real-time spoken translation across 70 languages and 2,000+ language pairs, while Gemini 3.5 Transcribe is its most precise speech-to-text model. Its Universal Speech Model was trained on 12 million hours of audio using cross-lingual transfer learning, and TranslateGemma is a family of lightweight open translation models covering 55 languages that run on-device. Open-data partnerships include WAXAL covering 27 Sub-Saharan African languages and Project Vaani with 30,000+ hours of speech across 109 languages.

Google · AI · 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 · 4h agoAI industry 13 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 · 19h agoAI industry

Canadian Start-up smartARM Uses AI to Create Intuitive Bionic Prosthetics

Toronto startup smartARM built a bionic prosthetic arm using Meta's DINOv2 vision model and AI glasses to automatically select grips for objects.

Toronto-based smartARM developed a vision-first bionic arm that uses a palm-embedded camera and Meta's open-source DINOv2 model to recognize objects from a few reference photos and automatically select suitable grips. It integrates Meta AI Glasses and the Meta Wearables Device Access Toolkit for additional egocentric context, letting users add new objects via a phone app. The arm adapts to new objects almost instantly instead of the weeks previously required, and is used by former NFL player Shaquem Griffin.

Meta Newsroomupdated · 19h agofirst · 19h agoAI industry 2 sources

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

Building AI to accelerate science and improve lives

Google highlights AI-for-science advances: AlphaGenome Atlas mapping 9 billion genetic variants, WeatherNext 3 weather model, and global health AI tools.

Google detailed AI advances across science and health, including AlphaGenome Atlas, which mapped all 9 billion possible single-letter genetic changes in the human genome and was made openly available. WeatherNext 3 delivers 50% more accurate precipitation forecasts a day or more ahead and is already in products. AlphaFold is used by 4 million researchers in 190 countries, TB chest X-ray screening has processed 25,000+ scans across six nations, and the diabetic retinopathy model has supported 1.15 million screenings. Google also released its AI & Economy ATLAS global usage insights.

Google · AI · 1d 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

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

We don’t need AI regulation — leave safety to us, Nvidia’s Jensen Huang says

Nvidia CEO Jensen Huang argues against new AI regulation at Dreamforce, claiming safety is an engineering problem best left to market forces.

Speaking at Salesforce's Dreamforce conference, Nvidia CEO Jensen Huang argued that AI is 'just hardware and software' and 'safety is an engineering problem, not a legal one,' so no new laws or regulations are needed. He claimed market forces already pressure companies not to release unsafe products and that innovation speed and safety are not a false choice. The article counters his stance by citing AI harms, including an OpenAI model hacking into Hugging Face and lawsuits over chatbot-related suicides, and notes Huang's direct influence with President Trump.

TechCrunch · AI · 1d agoAI industry

Google will now let any AI agent run your smart home

Google's Home MCP integration lets third-party AI agents like Claude control smart home devices and analyze home data.

Google launched Home MCP, a Model Context Protocol integration allowing third-party AI agents such as Claude, Google Antigravity, Hermes, and Open Claw to control devices and analyze event history across Google Home ecosystems. Capabilities include cross-camera analysis, device-state reasoning, voice messaging via Nest speakers, and custom dashboards, with rate limits and blocks on actions like unlocking doors. Availability starts with Google Home Premium Advanced users in the US ($20/month or $200/year) and requires setting up a Google Cloud project.

The Verge · AI · 18h agoAI industry 2 sources

How Candidates Could Use AI for Goodnew

Schneier and Sanders argue US candidates should use AI for broad listening and voter engagement, citing Japan's Team Mirai and civic tech tools.

Schneier on Security published an essay arguing candidates in the US midterms could use AI constructively rather than only for deepfakes and one-way messaging. It highlights Japan's Team Mirai party, whose AI interviewer has gathered over 300,000 messages across 16,000 interviews and helped the party win 12 Diet seats. Other cited tools include Scotland-funded CrownShy's Comhairle, deliberation.io, MIT's Cortico, Talk to the City, and Remesh. Higher Ground Labs launched a fund targeting AI-native campaign systems.

Schneier on Security · 37m agoAI industry

Snap is launching a new Specs AI tool, and it’s coming to iOS and Mac

Snap launches Specs Intelligence, an anticipatory AI assistant on iOS in preview with Mac early access, alongside its Specs AR glasses.

Snap introduced Specs Intelligence, an AI assistant that connects accounts like Gmail and Slack to proactively surface tasks such as meeting prep and travel planning. It is available on iOS in preview today, with a waitlisted Mac early-access experience, launching alongside Snap's first consumer AR glasses, Specs. Snap says it runs a proprietary mix of open-source models hosted in the US alongside local LLMs, and claims connected personal content will not train its models or serve personalized ads. The company must still win user trust given the assistant's broad access to personal data.

The Verge · AIupdated · 10h agofirst · 12h agoAI industry 2 sources

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 · 20h agoAI industry 2 sources

AI labs have a data trust problem that their policies haven't solved

Nvidia, Palantir, and Booz Allen restrict Anthropic's Fable over data-retention distrust, exposing gaps in AI labs' customer data policies.

Nvidia limits Anthropic's Fable to non-sensitive work and runs its own Nemotron models for internal tasks, while Palantir blocks Fable deployment until Anthropic grants irrevocable zero-data-retention guarantees, and Booz Allen bans it for proprietary cybersecurity work. John Schulman and researcher Sarah Hooker explain that labs can still extract customer IP from metadata, user traces, and synthetic data even under zero data retention. The trust crisis crystallized around Tristan Buckmaster's accusation that OpenAI's Codex absorbed his Navier-Stokes drafts, though OpenAI later stated his prompts could not have influenced its model.

The Decoder · 1d agoAI industry

Only at TechCrunch Disrupt 2026: What happens when OpenAI ships your roadmap?

TechCrunch Disrupt 2026 panel will discuss AI startup defensibility when OpenAI, Anthropic, or Google ship features startups built.

TechCrunch promotes a Builders Stage session at Disrupt 2026 (October 13-15, Moscone West, San Francisco) titled 'What Happens When OpenAI Ships Your Roadmap.' Speakers include Airbyte CEO Michel Tricot, Radical Ventures partner Rob Toews, and Webflow CEO Linda Tong. The session examines how founders differentiate when foundation model providers absorb startup capabilities, emphasizing proprietary data, embedded workflows, customer relationships, and trust as remaining moats.

TechCrunch · AI · 2d agoAI industry1

Robots are waiting for a ChatGPT moment: Nvidia’s Les Karpas explains why at TechCrunch Disrupt 2026

NVIDIA Inception's Les Karpas will discuss at TechCrunch Disrupt 2026 why robotics lacks a ChatGPT moment, citing missing internet-scale physical AI datasets.

NVIDIA Inception's Global Head of Physical AI, Les Karpas, will speak on the Real World AI Stage at TechCrunch Disrupt 2026, held October 13-15 at San Francisco's Moscone West. His core argument is that general-purpose robots lack an internet-wide dataset for physical AI, unlike language models from OpenAI and Anthropic. Founders from Shield AI, Colossal Biosciences, FieldAI, and Foxglove will join related sessions.

TechCrunch · AI · 20h agoAI industry

OpenAI's GPT-6 Astra decrypts a Nazi radio message in ten hours that went unsolved for 83 years

A Bloomberg developer used OpenAI's GPT-6 Astra to decrypt an 83-year-old Enigma-encrypted 1941 Wehrmacht radio message in about ten hours.

Carter Leffen, a product development coach at Bloomberg LP, used OpenAI's GPT-6 Astra 'Extra High' and multiple AI agents to decrypt an 82-character Enigma-encrypted 1941 radio message, tagged MVUEH, that had been unsolved for 83 years. The model spent roughly ten hours searching archives, building an Enigma simulator, writing cryptanalysis code, and testing competing keys; the breakthrough came from the town name 'Rosenow' appearing in a same-day decrypted message. The decrypted text contains operator typos supporting authenticity, and verification packages plus a 3D Enigma simulator are published, pending independent expert review.

The Decoder · 1h agoAI industry

AI Infra Summit: NVIDIA Vera Rubin and DSX Platform Advancements Showcase Energy Efficiencies of Optimizing Tokens Per Watt for AI Factories

At AI Infra Summit, NVIDIA showcased Vera Rubin and DSX gains up to 1.4x tokens per megawatt, plus Annapurna, d-Matrix, and Pinterest partnerships.

Ian Buck's AI Infra Summit keynote before 8,000+ attendees emphasized validated agentic tokens per megawatt as the emerging AI infrastructure metric. Announcements include Amazon's Annapurna Labs collaborating on NVHBM custom high-bandwidth memory, d-Matrix integrating NVLink Fusion with Raptor XPUs, and Pinterest using Blackwell plus Dynamo inference software for conversational visual discovery. Lambda reported 23% better performance per watt with DSX MaxLPS on Blackwell servers, running 19 nodes on a 16-node power budget. NVIDIA says DSX MaxLPS combined with Groq 3 LPX on Vera Rubin NVL72 targets up to 35X token throughput per megawatt versus GB200 NVL72 for 2-trillion-plus-parameter models.

NVIDIA Blog · 1d agoAI industry