Hugging Face published fine-tuning scripts and containers for TRELLIS.2, a 3D generation model, runnable locally or on Hugging Face Jobs. The guide uses LoRA adapters via the PEFT library on only the sparse-structure flow DiT and shape flow DiT, leaving the material stage frozen. On a 188-object footwear subset of the GSO dataset, the pretrained model often rendered incorrect soles, which the LoRA fine-tune targets.
The Wall Street Journal reports that Nvidia is about to fire Jensen Huang, according to Gary Marcus. Marcus writes that the stock is already down in after-hours trading and that Huang's exit could unsettle the circular financing deals he has orchestrated, raising the question of whether Nvidia would still honor the billions it promised Anthropic in the IPO.
Same event; the pick carries“Nvidia stock falls as board reportedly prepares to remove CEO Jensen Huang”
This post shows how to route OpenAI Codex model requests to Amazon Bedrock while reusing existing AWS identity, IAM, Regional, and observability practices. It recommends starting with Native AWS Access for a small least-privilege pilot, with AgentCore Gateway or an LLM Gateway as alternatives, and walks through IAM Identity Center sign-in plus a direct Bedrock Runtime check using GPT-5.6 Sol.
An open source engine computes semantic diffs of formal policies using anti-unification over an e-graph, showing shared structure once and keeping both versions of each differing part. It targets autoformalization outputs in SMT-LIB, Cedar, Dogwood, OpenShell policies and CEL, where an LLM writes the artifact but plays no part in computing the diff.
A PyTorch DDP training loop on Amazon SageMaker HyperPod gains three checks that catch silent data corruption: a non-finite gradient check, a ring replay audit comparing loss bits and gradient fingerprints across nodes, and a weight fingerprint comparison after the optimizer step. Tested with software-injected faults on 4 ml.p5.48xlarge instances (32 NVIDIA H100 GPUs), the checks name a suspect rank, map it to a node, and let HyperPod replace the node and resume from a checkpoint.
Nvidia's board is reportedly preparing to remove co-founder and CEO Jensen Huang, who has led the company for 33 years, with a meeting as soon as Wednesday to decide his future, the Wall Street Journal reported. The report follows Huang's admission on Sunday of an extramarital affair with a woman described by U.S. intelligence as a Chinese spy, and a New York Times report on Wednesday that he also had an affair with an executive who reports to him. Nvidia shares fell about 8% in after-hours trading on Wednesday and are down about 11% over the past five days, while Bloomberg reported the company is working with an outside firm to identify potential CEO candidates.
Amazon Bedrock AgentCore now offers a standalone Web Search API, letting developers call InvokeWebSearch directly from AWS SDKs or the AWS CLI with a single request and no resources to create. It returns ranked results from an Amazon-operated web index, each with a text extract and, when available, title, URL, and publication time, with domain and date filters. Requests are signed with SigV4 and IAM, using the same permission as the AgentCore Gateway route.
AWS's October 2026 roundup adds Claude Haiku 5.5, which Anthropic says costs around 75 percent less than Claude Haiku 4.5 for most tasks, plus OpenAI GPT-6.1 Terra on Amazon Bedrock with up to 1 million input tokens and prices at least 50 percent lower than GPT-6.1 Sol and GPT-5.6 Terra. AgentCore CLI reached version 1.0, and AgentCore Gateway added model fallback and Step Functions workflows as agent tools.
Google has released Gemini Decision 1, a decision model API that supports yes/no, choice and rubric-scoring questions, joining Jev and OpenAI in the decision model category. It is priced at 10 cents per million input tokens with free output, and unlike Jev's text-only input it accepts text, images, audio, video and PDFs. In a test on a robot video, Gemini returned probabilities such as 0.9234 for robot and 0.0498 for dragon instead of the 1.0 or 0.0 that Jev and OpenAI return.
United will not let personal AI assistants complete flight bookings on its site, citing privacy and regulatory concerns, The Wall Street Journal reports. Agents can still show users United flights but cannot finish the transaction, and CEO Scott Kirby said he does not want to create another middleman. United said it may reconsider as third-party agents advance, while eBay and several major banks have also restricted agent access.
Google launched the Gemini Decisions API, powered by a new model called Gemini Decision 1 (gemini-decision-1), which does not generate text but scores up to 1,000 typed questions against one shared input and returns calibrated probabilities. It reads text, images, audio, video and PDFs in a single prefill pass, supports yes/no, choice and score question types, and is priced at $0.10 per 1M input tokens with zero output tokens billed. Google reports a 262,144-token context, 150-250 ms end-to-end latency, and a top-1 ECE of 0.0250, about half that of TypeSafe Jev 1.14, though it trails Jev on the When2Call benchmark (79.9% vs 82.0%) and costs more per token ($0.10 vs $0.042).
AWS has released an official emulator that lets developers run tests against a local clone of its various services without provisioning a paid API key. The emulator is written in Rust and accumulated 29,684 commits in the project's first three weeks, according to a guest post by Swaminathan (Swami) Sivasubramanian on Werner Vogels' blog. It currently requires Docker on macOS and Windows, and Simon Willison hopes a single downloadable binary will follow for use in standard test suites on other platforms and languages.
AWS will hold its annual re:Invent conference from November 30 to December 4, with the AI/ML track offering more than 140 unique sessions out of over 2,000 total learning sessions. The guide maps sessions to the AWS AI stack, spanning AI chips (AWS Trainium and NVIDIA GPUs), models and inference on Amazon Bedrock and SageMaker AI, and agent development with Amazon Bedrock AgentCore. Sessions are organized from newcomer content to technical deep dives, and many can be viewed on demand.
AWS outlines an event-driven pipeline that keeps AWS Agent Registry records for MCP servers current without manual updates. AWS CloudTrail captures UpdateAgentRuntime API calls, Amazon EventBridge routes them across accounts, and a Lambda function queries the MCP server's tools via AgentCore Identity OAuth tokens, then diffs and updates the matching registry record. The sample updates existing records only and supports both single- and multi-account setups.
Google DeepMind released AlphaGenome 2, a conditional sequence-to-function DNA model that reads a 1 Mb DNA window plus a target cell state and predicts variant effects for one cell type per call. On TenK10K single-cell eQTLs across 28 immune cell types, causal variant recall at 90% precision rose from 16% for fine-tuned AlphaGenome 1 to 30%, and direction-of-effect recall rose from 23% to 43%. The model is available through the AlphaGenome API for non-commercial research, with weights promised upon final publication and commercial use in private preview.
TechCrunch's Equity podcast discusses why many announced data center projects may never be built at all, even before local opposition, permitting delays and electricity shortages come into play. Hosts Rebecca Bellan and Tim De Chant are joined by Brent Nelson of Ascend Analytics to separate realistic projects from speculative ones amid billions of dollars in AI infrastructure investment.
Google DeepMind introduced the Gemini Decisions API, built for closed-ended decisions such as yes/no questions, multiple choice, and scale-based ratings, with the underlying Gemini Decision 1 model processing up to 1,000 independent questions in a single pass across text, images, audio, video, and PDFs. It returns probabilities with confidence values in 150 to 250 milliseconds and costs $0.10 per million input tokens with no output-token charge, which Google says is about five times cheaper than Gemini 3.5 Flash-Lite. The API is available now through Google AI Studio, with integrations for OpenRouter, LangChain, and Vercel rolling out, and Google says it already uses it internally for model routing in Gemini Notebook, design prototyping in Stitch, and safety checks in Google Search.
Same event; the pick carries“Google launches Gemini Decisions API and Gemini Decision 1 model for fast closed-set decisions”
Meta's longtime head of infrastructure and co-head of engineering Santosh Janardhan is stepping down and will be replaced by Dave Brown, who joined as VP of infrastructure earlier this year after 19 years at Amazon. Janardhan, who joined Meta in 2009, will stay on for the transition and move into an advisory role on Meta Compute before leaving next year.
TechCrunch's Equity podcast discusses how local opposition, permitting delays, and power shortages are slowing the data center boom, with Ascend Analytics' Brent Nelson arguing the project pipeline is wildly inflated and only a fraction of announced AI infrastructure will actually be built. The episode also covers what a bubble burst would mean for developers with the wrong tenants, why Democrats should pursue permitting reform now, and why natural gas isn't the reliable fallback developers assume.
Google Research introduced an investigational framework that turns consumer wearable data into a coachable health age and simulates personalized 12-week what-if health trajectories. The SensorWM world model was pretrained on 2.28 million person-weeks of de-identified Fitbit data from roughly 100,000 users and forecasts 20 physiological markers under different step, sleep and cardio routines. In a blinded study, lifestyle coaches chose the counterfactual-grounded plan as best overall in 71.4% of evaluations, and physicians rated 99.2% of plans within safe exercise intensity limits; the authors note the models are research prototypes, not clinical diagnostic tools.
The Ramp AI Index shows US corporate AI spending reached a new high in October 2026, rising 1.65 percent month over month. The top 1 percent of companies by AI spending paid a median of $10,200 per employee per month, up nine percent, while a typical company spent just $16.32. OpenAI's business customer spending grew 2.1 percent versus 0.5 percent for Anthropic, and the average price per million processed text tokens fell 21 percent.
Simon Willison added tag-based browsing to tools.simonwillison.net, letting visitors explore his collection of 244 vibe-coded tools by tag. He used leftover Fable 5.2 credits to have tree-sitter analyze each tool's code for JavaScript APIs, libraries and web API hosts. The homepage now shows tag clouds for each of those tag categories.
Google DeepMind unveiled AlphaProof Code, an AI system that mathematically proves software meets its security specifications, and used it to verify the cryptographic core code running on Signal users' devices in four weeks, work that typically takes years. After experts defined formal security requirements, AI agents built on Gemini Carbon wrote over six million lines in the Lean proof language and flagged roughly one percent of the codebase for human review, catching two deliberately planted bugs immediately. Signal CTO Ehren Kret said the approach strengthens trust in data privacy as AI threats grow, and DeepMind plans to extend the method to power grids and medical devices through systems like CodeMender.
Why it matters: DeepMind's AlphaProof Code verified Signal's real cryptographic code in four weeks, showing how AI agents can move formal verification from design documents to production software.
TSMC plans to invest $1B in Anthropic and OpenAI, according to Ars Technica. The report frames the move as the latest example of the AI boom's circular financing, arriving as the AI trade wobbles.
Google introduced the Gemini Decisions API, powered by the new Gemini Decision 1 model (gemini-decision-1) and available through the Gemini API in Google AI Studio. A single multimodal input of up to 256K tokens can be checked against up to 1,000 yes/no, multiple-choice and rubric-scoring questions in one forward pass, returning probabilities and confidence scores at 150-250 ms end-to-end latency for $0.10 per 1M input tokens with no output-token charges. Google says the model leads its benchmark suite with the lowest calibration error and is nearly 5x cheaper than Gemini 3.5 Flash-Lite with the Interactions API; internal uses include model routing in Gemini Notebook, wireframe generation in Stitch and adversarial-content checks for MCP tools in Search.
Why it matters: Google's new endpoint scores up to 1,000 multimodal yes/no, choice and rubric questions in one pass at 150-250 ms, giving agent routing and policy checks a cheaper alternative to generative calls.
Indie game Big Walk used AI to fix a bug, and the disclosure has set off a reckoning across the indie gaming world. Many Independent Games Festival judges now say any amount of AI coding is too much.
Claude Fable 5.2 is now available, and a new guide explains when to start on Opus 5.5, when to move up to Fable 5.2, or down to Sonnet 5.5 or Haiku 5.5 in Claude Code. It also covers splitting one job across models, with availability and usage limits varying by plan.
Simon Willison released LLM 0.37.2 to fix a security issue reported by Daniel de Araujo in GHSA-v9h7-jj4g-f862 and GHSA-r639-rr7r-x72w. The bug could send a configured OpenAI API key to third-party OpenAI-compatible endpoints via extra-openai-models.yaml if the named api_key_name was never stored, or if a responses: true model ran with -o chat_completions 1.
Epoch AI researchers report that in offline sandbox experiments, the open-weight model GLM 5.3 autonomously compromised six recent versions of Firefox, a browser with over 200 million active users, for about $1,000 per exploit by reverse-engineering attacks from patches that had not yet reached users. The model built webpages that could read files from a visitor's computer and send them to an attacker without human input; the team could not replicate this with Chrome. The same brief notes that Anthropic's Claude Fable 5.2, released November 9th, set a new Epoch Capabilities Index record of 174, above GPT-6 Astra's 169.
AWS is using its automated-reasoning tool Tiros to statically validate network segmentation across all modeled paths, rather than relying on packet-based sampling. Tiros converts Cloud WAN configurations from route tables, attachments, and policy documents into logical propositions, then checks that no path exists between segments the policy declares off limits, with analyses run as often as every hour.
Meta detailed Intelligent Delivery, an ML-driven system that allocates compute across its ads serving stack toward the system-wide optimum, contributing roughly 10% incremental ranking performance on top of model and system advancements from 2017 through the first half of 2026. Its Resource Core Model uses 6B sparse and 20M dense parameters to predict each request's marginal utility, and Meta says it improved identification of high-impact ad requests by about 20% in offline benchmarks. The system also relies on multi-layered allocation mechanisms and increasingly agentic AI to adapt as models and hardware change.
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A Google engineer who leads the company's agent skills program built a pipeline in which Gemini 4 Argon reads Go source and RISC-V disassembly and translates surviving runtime.panicBounds traps into Z3 constraints, then go test replays any satisfying input as a real reproducer. The workflow caught all three planted bugs and three latent bugs in skill-lint, while unseeded go test -fuzz missed two of the planted crashes because Go checks slices against capacity rather than length. Clipping capacity to length with data[:len(data):len(data)] made the fuzzer crash both overrun bugs in all three runs, with a median of 0.28 s and 0.17 s.
Google ran its Agent Anomaly Detection, in Private Preview on Gemini Enterprise Agent Platform, against five public agent-security benchmarks it did not write, scoring 1,774 sessions. It flagged 87% of harmful instructions the agent actually carried out, with false alarms on 2% to 16% of benign sessions, and caught only 4 of 18 sessions where poisoned long-term memory drove the agent to act. The tests used an agent built with the Agent Development Kit (ADK) on gemini-2.5-flash, covering AgentDojo, InjecAgent, Agent Security Bench, AgentDyn and AgentHarm.
Google Labs introduced Tabletop, a new experiment for real-time group collaboration where users add links, files and ideas, then prompt @tabletop or pick a starter template to generate interactive trip itineraries, dinner polls, expense splitters and tournament brackets. Once a space is ready, an invite link lets everyone join and use it simultaneously, like in a Google Doc. Tabletop is rolling out in the U.S. (18+) via a waitlist at labs.google/tabletop.
Mastra added private model gateways that let agents route requests to self-hosted open-weight models, referenced by a prefix like private/ollama/gpt-oss:20b. Self-hosting keeps sensitive data inside the network and replaces per-token costs with infrastructure costs, and setting AUTO_BLOCK_EXTERNAL_PROVIDERS=true hides external providers in Studio. The feature requires @mastra/core@1.82.0 or later.
Anthropic published a Claude Tag (beta) guide for startups, based on conversations with eight high-growth companies about where they deploy the Slack-based agent first. The guide covers five common setups — on-call triage, thread-to-PR, company brain, self-serve data, and reporting — plus a getting-started checklist. Cited results include a PR opened 21 minutes after a Slack mention and 134 pull requests merged from Slack threads at NavigateAI.
Anthropic released Claude Meetings in beta, letting Claude join Google Meet calls as a visible participant that answers questions in chat, builds docs and whiteboards live, and writes notes and action items. Each meeting gets a page in claude.ai with the transcript, notes and artifacts, and by default Claude stays out of calls with external guests unless an admin allows it. The beta is rolling out on Team and Enterprise plans, is unavailable to some organizations including ZDR, HIPAA-ready and CMEK setups, and notes, transcripts and in-call answers are free during the beta.
Why it matters: Anthropic's beta launch shows how a meeting agent can draft docs, pull connected-tool data and write notes inside a live call, with default rules for excluding external guests.
Claude Opus 5.5 is now the default model in Claude on Pro, Max, Ultra and Team plans, and Anthropic recommends it as the daily driver for research, analysis and finished documents, decks and spreadsheets. Anthropic says Opus 5.5 at Medium effort matched or beat Opus 5 at High on its coding and knowledge-work evaluations, and in an internal merger-analysis test it finished in 63 minutes at half the cost of Opus 5 on the same task. The post also lists prompting changes for the new model, including dropping 'think hard' instructions, starting at Medium effort and attaching charts instead of retyping their values.
Why it matters: Anthropic's own guide explains why Opus 5.5 is now the default for daily knowledge work and which prompting habits to drop for it.
Anthropic released self-hosted Claude Managed Agents in private beta, letting developers run the full agent service, including harness, sandboxes, credentials and session history, in their own cloud or on-premise environment. Model requests can go to Anthropic directly, to Amazon Bedrock, Google's Agent Platform or Microsoft Foundry, or through the customer's own gateway, and session history stays in the customer's database. The company says the design keeps the agent loop and vault secrets outside the sandbox, supports allowlists of permitted hosts, and exports a full record of each session over OpenTelemetry.