The unfolding Jensen Huang scandal: a timeline
Jensen Huang has resigned from Nvidia following an affair, which could have ramifications for national security as the U.S. and China race to develop the most advanced AI infrastructure.
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3 todayNov 12
Australia's proposed AI safety bill would force frontier model makers to open up to independent testing
Australia's government, led by Prime Minister Anthony Albanese, wants to enshrine mandatory safety rules for frontier AI companies in law for the first time. A new regulator would enforce independent model audits and impose steep penalties for violations. With this move, Canberra is deliberately prioritizing domestic regulation before entering international talks.
Supporting research on AI and children’s safety
OpenAI commits $2 million to research on AI and children’s safety. The work supports shared tools to measure risks and opportunities for young people.
Holiday Extras is rethinking what it can build with Codex
With Codex, Holiday Extras is turning customer expertise into better apps, higher booking conversion and new possibilities for growth.
The Jev Revolution: What Engineers Are Already Building with System One Models
At AI Engineer Code Summit, lead Jev creator Diogo Almeida called on developers to automate everything. Also, Glean and others showed how they’re using Jev.
[AINews] D-Day (Decision Models Day)
Google enters the decision model market. At AI Engineer, Cloudflare showed which parts of a build failure a classifier could handle. TypeSafe AI showed off their production customers.
Who could replace Jensen Huang? A highly unscientific list of possible successors
Nvidia has no succession plan and a CEO in hot water, so we’ve drafted a shortlist.
Detecting and recovering from silent data corruption on Amazon SageMaker HyperPod
Silent data corruption is a GPU fault that returns wrong but plausible numbers with no error, quietly poisoning distributed training. This post adds three checks to a PyTorch DDP loop to detect it, localize the faulty node on Amazon SageMaker HyperPod, and hand the node to automatic recovery for replacement.
Semantic diffing of formal policies with anti-unification
A textual diff of two formal policies flags every cosmetic change and hides the one that alters behavior. This post shows how to compute a symbolic, deterministic semantic diff with an open-source anti-unification engine, so reviewers see only the genuine disagreements between two candidate authorization policies.
OpenAI Codex on Amazon Bedrock
A practical guide for enterprises rolling out OpenAI Codex to developers on AWS, with Amazon Bedrock as the model backend, covering the access, governance, and cost decisions that platform, security, and finance teams need to align on.
Build autonomous AI agents with Amazon Bedrock and Spring AI
Learn how Java developers can build production-ready autonomous AI agents using Amazon Bedrock and Spring AI. This post walks through tool calling, conversation memory, resilience patterns, and multi-agent orchestration, then deploys the agent to AWS with Amazon Bedrock AgentCore.
Nvidia’s stock drops as board reportedly preps to oust CEO Jensen Huang
As soon as Wednesday evening, Nvidia's board could decide to remove its founder and CEO of 33 years.
The unfolding Jensen Huang scandal: a timeline
The affair could have ramifications for national security as the U.S. and China race to develop the most advanced AI infrastructure.
ICYMI: What landed for AI builders in October 2026
A recap of the major Amazon Bedrock, Amazon Bedrock AgentCore, and Strands updates from October 2026: new models to match each task, updates that keep agents available and grounded, and clearer cost reporting for AI builders.
Introducing the Web Search API on Amazon Bedrock AgentCore
Today we're announcing the Web Search API on Amazon Bedrock AgentCore: your own code can search the web with a single signed API call, with no gateway and no resources to create. Call it from the AWS SDKs or the AWS CLI and use it in applications, agent loops, and data pipelines.
Gemini Decisions API
Gemini Decisions API Google join Jev and OpenAI in the decision model category with "Gemini Decision 1". This new model API is almost identical to Jev: it supports the same three types of questions (yes/no, choice, and rubric-scoring) and even reuses Jev's term "Noul" for a yes/no question.
US corporate AI spending hits a new high in October, but growth slows to 1.65 percent
According to the Ramp AI Index, US corporate AI spending rose just 1.65 percent in October 2026. One percent of companies still drive 80 percent of revenue for OpenAI and Anthropic. Customer support is emerging as a new growth driver, but it may bring lower margins than the coding business that has fueled spending so far.
Google joins the decision-model wave with Gemini Decision 1, scoring 1,000 questions in a single pass
Google Deepmind's new Gemini Decisions API evaluates up to 1,000 closed-ended questions in a single pass across text, images, audio, and video. Gemini Decision 1 returns results in 150 to 250 milliseconds at roughly five times lower cost than Gemini 3.5 Flash-Lite, according to Google.
Using wearables to enable cardiovascular-kidney-metabolic (CKM) risk profiling for personalized coaching
Heart disease, kidney conditions, and metabolic disorders like type 2 diabetes aren't isolated, they form an interconnected web known as cardiovascular-kidney-metabolic (CKM) syndrome . CKM progression often begins silently years before symptoms appear, shaped by everyday habits like movement, sleep, and cardiovascular activity.
How DXC Technology built a multi-model AI substrate on Amazon Bedrock
DXC Technology runs mission-critical managed IT services for regulated organizations across 70 countries. Learn how DXC built DCX OASIS, its Human+AI operating model, on a governed multi-model substrate in Amazon Bedrock, separating a resilient model substrate from a trusted harness that orchestrates, governs, and audits AI agents at scale.
Automating AWS Agent Registry updates with push-based architecture
This post shows how to keep the AWS Agent Registry current automatically. Using AWS CloudTrail, Amazon EventBridge, AWS Lambda, and AgentCore Identity, an event-driven pipeline detects MCP server changes and pushes updated tool metadata to the registry with no stored secrets, across single- and multi-account environments.
The attendee’s guide to the AWS re:Invent 2026 AI/ML track
AWS re:Invent 2026 includes more than 140 AI/ML track sessions. This attendee's guide helps you find the breakouts, chalk talks, workshops, and builders' sessions that fit your role and goals, spanning AI chips, models and inference, agents, agent trust, and sustainability, so you can build a smarter re:Invent schedule.
aws-emulator
aws-emulator Finally, an official emulator from AWS to run tests against a local clone of their many different services without having to provision a paid API key to do so. It's written in Rust by a huge swarm of agents - 29,684 commits in the first three weeks of the project.
With $720M round, Britain’s Fractile gets a leg up in the race for AI chips
Fractile has now become one of the top-funded players in the race for purpose-built AI chips.
CoreWeave turns to customer prepayments, shorter contracts to fund AI growth
CoreWeave is increasingly asking customers to pay upfront, borrowing against specific contracts, and even looking to short-term deals that could lead to higher prices, according to the company’s third-quarter earnings.
How backlash and red tape continue to slow data centers post-Blue Wave
The data center boom is running into serious real-world obstacles, from widespread local opposition and permitting delays to a scramble for electricity. Before those challenges even come into play, though, there’s a more basic problem: A lot of the projects being announced may never get built in the first place.
Meta is losing its longtime head of infrastructure
Santosh Janardhan, who originally joined the company in 2009, will be stepping down from his role.
United won’t let your AI agent book your flight
United says it won't let personal AI assistants book tickets on the airline, citing both privacy and regulatory concerns. The company says it hasn't yet seen many people try to use AI agents to book their flights, The Wall Street Journal reports, in line with observations from other businesses like Doordash.
Why the data center you dread might never even be built
The data center boom is running into serious real-world obstacles, from widespread local opposition and permitting delays to a scramble for electricity. Before those challenges even come into play, though, there’s a more basic problem: A lot of the projects being announced may never get built in the first place.
Google Deepmind's AlphaProof Code verified Signal's cryptographic core in four weeks instead of years
Google Deepmind's AlphaProof Code mathematically verified Signal's cryptographic core code in four weeks, a process that typically takes years. AI agents powered by Gemini Carbon wrote more than six million lines of proof code and flagged only about one percent for human review. Deepmind plans to extend the method to critical infrastructure like power grids and medical devices.
Big Walk used AI to fix a bug. Now the indie gaming world is having a reckoning.
Any amount of AI coding is too much for many Independent Games Festival judges.
Taiwan’s chipmaking giant TSMC to invest $1B in Anthropic, OpenAI
Latest example of the AI boom’s circular financing comes as AI trade wobbles.
Accelerating generative AI delivery with reusable assets
Every generative AI team keeps rebuilding the same components: RAG pipelines, document processors, and agent scaffolding. This post shows how to access a curated catalog of 23 production-ready, open source reusable assets from the AWS Generative AI Innovation Center, with real delivery results from DoorDash, Lyft, and Ricoh.
JioStar’s chief architect on AI discovery at 500M-user scale
JioStar’s Vijay Seshadri explains AI discovery at 500M-user scale. Read his lessons on evals, guardrails, and taking AI into production.
llm 0.37.2
Release: llm 0.37.2 Fixes a security issue reported by Daniel de Araujo in GHSA-v9h7-jj4g-f862 and GHSA-r639-rr7r-x72w . LLM has a mechanism called extra-openai-models.yaml - now managed by the new-in-0.37 llm openai endpoint add command - for using LLM with OpenAI-compatible API endpoints from other providers.
Browse tools.simonwillison.net by tag
Browse tools.simonwillison.net by tag I've been wanting a better way to browse my collection of vibe-coded tools (244 and counting) for a while. I had a few Fable 5.2 credits left over before my weekly reset so I set it to work using tree-sitter to analyze the code for JavaScript APIs, libraries, and web API hosts used by each tool.
Helsing built an AI system that prepares targets for weapons systems and says every decision will carry a human name
Helsing has unveiled Clarity, an AI platform that uses agents to distill sensor data into target recommendations for weapons systems, all under human oversight and European control. But experience from the Iran war, Gaza, and a near-miss involving China shows that the speed of automation and data fusion create risks that are hard to contain.
Introducing usage-based pricing for Amazon SageMaker AI bidirectional streaming
AWS Marketplace now supports usage-based metering for Amazon SageMaker bidirectional streaming inference, so model providers can charge for what customers actually consume during a live stream. Deepgram is the launch partner, bringing usage-based speech-to-text and text-to-speech billing to AWS Marketplace.
UAEF: A framework-agnostic system for closed-loop evaluation of AI agents
The Universal Agent Evaluation Framework (UAEF) is a framework-agnostic system for evaluating AI agents. UAEF converts each framework's traces into one canonical format, scores them with 36 built-in metrics across 7 dimensions, and stores results so teams can compare agent versions and catch regressions.
Accelerating product development with AI-driven lifecycle management (AI-PDLC) in AWS Quick
Learn how to build an AI-driven product development lifecycle (AI-PDLC) with a suite of six AWS Quick agents that take you from scattered customer signals to a validated prototype across Discover, Decide, Design, and Prototype, with human approval at every gate and a specification ready to hand to coding agents like Kiro.