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New tool lets users repair AI-generated 3D models, then fabricate them just the way they want

“InstructMesh” can generate designs for everyday objects that are easy to edit and fabricate for both experts and newcomers to 3D modeling.

Igor Babuschkin + Founders of Legora, Factory, Fireworks AI, Etched & Crosby Join the Cerebral Valley AI Summit as Speakers

New speakers will join the CEOs of Anthropic, Databricks & Palo Alto Networks

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The eternal complement

Advanced AI may matter most for the routine work behind breakthrough ideas. Explore why execution could shape the next economy and the pace of progress.

The Pulse: Firebase’s global outage & poor response

Also: OpenAI’s platform play that has similarities to AWS, more data on companies moving to open models, and more

SCOOP: Benchmark Backs Early-Stage Startup Tendrils Compute as Chip Momentum Builds

Plus, a market map on the chip alternatives ecosystem

How Albertsons Companies is reimagining retail from the inside out

Albertsons Cos. is using ChatGPT Enterprise and the OpenAI API to help teams work faster and make grocery shopping easier for millions of customers.

Fall Into 25 New Games on GeForce NOW This October

Spooky season is streaming in. Alongside falling leaves, pumpkin spice and everything nice, 25 new games are joining GeForce NOW throughout October, including six ready to play this week. From a new CONTROL Resonant reward for Performance and Ultimate members to The Witcher 3: Wild Hunt – Remastered joining the cloud, this GFN Thursday is […]

Productive, Durable, Fungible: How NVIDIA AI Factories Maximize Return on Investment

AI factories are built by the megawatt, even by the gigawatt. Each megawatt factory costs roughly $60 million, and AI factory operators will only commit capital on that scale with a clear view of the return on investment. Three key things shape AI factory returns: Earning capacity: What the factory could earn in a year […]

The Dot and the Swarm

Benefitting from the Bitter Lesson

[AINews] Gemini 4 Argon: GDM’s answer to Astra/Fable, with 1M output

... but you can’t try it yet unless you are “government users and trusted cyber defenders in the Fairwind Program”

RLTL;DR: Self-Improvement by Internalizing Self-Generated Feedback

The common paradigm of reinforcement learning with verifiable rewards (RLVR) is to let agents make multiple attempts at a task, and optimize towards the successful ones. This becomes problematic in the realms of self-improvement, where tasks are so difficult that the agent has a low or even no chance of success, and where there are no teacher models or example solutions to distill from. In this paper, we introduce RLTL;DR. After each failed attempt, we show the policy the verifier outputs and let it write its own feedback, in the form of a single TL;DR insight. The next rollout is conditioned…

How Much of a Harness Does a Strong Agent Need for Autonomous ML Engineering?

Recent autonomous machine learning engineering (MLE) agents have made significant progress on public leaderboards. Often motivated by progress stagnation over long-horizon cycles and limited Large Language Model (LLM) primitives, modern MLE agents are deployed on top of increasingly elaborate machinery: multi-agent orchestrators, dedicated retrieval subagents, and more. While such harnesses expand, the use of more primitive but improved coding agents—where LLMs have direct access to the execution environment through read, write, and bash primitives—has received little attention in the field…

Why Dwarkesh is Wrong about Computer Use + How OpenAI shipped its Jev competitor in 1 Week

Our DevDay coverage - the first pod on the DevDay lineup - dives in with the leaders of OpenAI’s CUA team and API platform.

Early Optimism Reigns on Agentic Commerce + Personal Agents at the Machine Earning AI Summit

Our notes from talks with Town CEO Jean-Denis Greze, a16z general partner Anish Acharya, Airwallex CFO Pranav Sood, Haun Ventures founder Katie Haun, Lead Bank CEO Jackie Reses & more

Gemini 4 Argon: our next era of frontier intelligence

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NVIDIA Opens Applications for 2027–2028 Graduate Fellowships With Awards Up to $60,000

Bringing together the world’s brightest minds and the latest accelerated computing technology leads to powerful breakthroughs that help tackle some of the biggest research problems. To foster such innovation, the NVIDIA Graduate Fellowship Program provides grants, mentors and technical support to doctoral students doing outstanding research relevant to NVIDIA technologies. The program, in its 26th […]

Distributed databases with Peter Mattis

Cockroach Labs co-founder Peter Mattis discusses building reliable distributed systems and how AI helps him write more code without sacrificing quality.

Forecasting space weather risks on power grids

Extreme space-weather events can damage power systems on Earth and degrade GPS accuracy and satellite operations. A new machine learning system can predict where damage is likely to occur 30-60 minutes before a storm arrives. The post Forecasting space weather risks on power grids appeared first on Microsoft Research .

MIT Transit Lab to develop an AI platform for public transit agencies

With $2.1 million funding from Google.org, the open-source Public Transit Intelligence Hub will unify public transit monitoring, operations, and passenger communication.

Introducing SynthID Bio

Proof of concept for watermarking AI-generated proteins while preserving biological function.

From Training to Production, NVIDIA and CoreWeave Close the Loop on Agentic AI

Building on nearly a decade of co-engineering, CoreWeave has built NVIDIA compute, networking and software into a cloud purpose-built for AI that’s still returning on investment across multiple generations of deployment. Now, CoreWeave is bringing the next generation of NVIDIA infrastructure to production. At CoreWeave Fully Connected, running this week in San Francisco, CoreWeave announced […]

“We’re not going to shoot ourselves in the foot” over hack fallout, says OpenAI’s chief research officer

Two months after the bombshell news that a swarm of its agents had broken their containment and hacked into the computers of the AI company Hugging Face, OpenAI is still putting out fires. A steady drip of disclosures about other hacks in the weeks since has kept OpenAI in the spotlight and raised serious questions…

[AINews] OpenAI DevDay 2026: Dots, 6.1 Sol, Ultrafast, Decisions API, Agents API, Spaces, Marketplace, and 1.2 Billion ChatGPT WAU

the most confident DevDay yet.

SCLATE: A Substrate for Continual-Learning Agent Training and Evaluation

Continual-learning agents are systems of models, harnesses, and memory operating over long multi-session horizons. Evaluating and training them requires interleaving tasks with agent-side events such as session stop and start, crons, and memory consolidation. Yet existing benchmarks and training frameworks schedule only the benchmark’s own events, leaving each benchmark and agent pair to build a custom scheduling loop. We present SCLATE, an execution substrate where benchmarks and unmodified agents each add their events to one open event scheduler through an adapter. A hybrid simulated clock…

On the Effectiveness-Fluency Trade-Off in LLM Conditioning: A Systematic Study

Controlling the output of Large Language Models (LLMs) is a central challenge for their reliable deployment, yet a clear understanding of the involved trade-offs remains elusive. Current approaches to conditioning are often evaluated with a narrow focus on their effectiveness at injecting or removing a target concept, neglecting generation quality. We systematically investigate a range of conditioning methods in both injection and removal scenarios. We find that efficient steering methods frequently achieve conditioning at a steep cost to fluency. Furthermore, we identify a critical yet…

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Qualcomm’s System Level Architecture in the Snapdragon X2 Elite

Laptop chips have gotten very powerful in recent years, with increasing CPU core counts, more powerful iGPUs, and higher DRAM bandwidth to feed that compute.

🚨 The first existential IPO

On the leaked details of Anthropic’s IPO prospectus

Why has Shopify dropped React Native?

It’s only been a year since the e-commerce platform declared it was very happy with React Native, but now Shopify is dumping it – and the reason, unsurprisingly, is AI

Introducing Quine: An AI research system designed for the complexity of biology

Biology doesn't operate in silos, and neither should the AI representation of it. Quine is an early-stage research effort to create a multimodal world model of biology. By connecting insights across biological scales and modalities, Quine helps scientists computationally search a space far larger than intuition allows and prioritize hypotheses before they reach the lab. Experimental results provide important feedback, helping researchers sharpen future research directions. The post Introducing Quine: An AI research system designed for the complexity of biology appeared first on Microsoft Research .

Making AI an asset, not an expense

When customers talk about AI costs, the conversation usually starts with token prices and ends with access to the latest, most capable model in the cloud. Do they always need that level of capability? Not necessarily. But that is often where the conversation goes. As AI moves from experimentation to production, model choice is only…

The Communication Bottleneck: A Round-Trip Study of Tree-Structured Expression Serialization in Language Models

When language models reason in chain-of-thought or exchange free-text intermediates, they serialize structured information into natural language. How much tree-structured compositional content survives this bottleneck? We propose a round-trip protocol that answers this question empirically for tree-structured expressions. A generator converts a procedurally generated arithmetic expression into a word problem, a separate extractor recovers the expression from the word problem alone, and symbolic equivalence provides an exact oracle. Evaluating all pairwise combinations of sixteen models yields…

One year in: How Microsoft Research Asia – Singapore is advancing research, partnership and talent for real-world impact

Since launching a year ago, the Microsoft Research Asia — Singapore lab has established a strong foundation, deepened collaboration across government, academia, and industry, and explored how frontier AI research can create real-world value. The post One year in: How Microsoft Research Asia – Singapore is advancing research, partnership and talent for real-world impact appeared first on Microsoft Research .

📈 Monday data: Damming the slop floods

AI makes content cheap. Who pays to make it trustworthy?

🔮 The pros and cons of collective AI #603

AGI and new moral subjects; ChatGPT drives a car; energy and AI need each other++

🔮 Safety in numbness

On originality, intellectual bravery and why disagreeing with LLMs is a good sign

GitHub Copilot app for Beginners: How to build custom workflows with canvases

Describe the interface you need in plain English, then let the agent build a live surface you can both use and update—so you spend less time adapting to tools and more time getting work done. The post GitHub Copilot app for Beginners: How to build custom workflows with canvases appeared first on The GitHub Blog .

🤖 Your agent, whose interests?

Meta’s Muse shows that users want a digital butler, but there may be a conflict of interests