Daily archive
AI news for Thursday, 29 October 2026
30 headlines from 19 sources, newest first.
Headlines 30
- Why Waiting for Ready Data Is Riskier Than Starting AI Now
Waiting for perfect data before starting AI creates its own risk. See why running AI and data modernization in parallel is the safer path.
- Microsoft Research Focus – Edition #97
Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving…
- L’avenir appartient à tous: Meta et INCA s’associent pour soutenir les personnes aveugles, sourdes et aveugles ou ayant une basse vision au Canada
Nous croyons que l’avenir appartient à tous. C’est pourquoi Meta s’associe à INCA, un organisme à but non lucratif fondé en 1918 qui aide les personnes atteintes de cécité au Canada à réaliser leurs rê ves, afin de…
- The Future Is for Everyone: Meta and CNIB Partner to Support Canadians Who Are Blind, Deafblind or Have Low Vision
We believe the future is for everyone. That’s why Meta is partnering with CNIB – a non-profit founded in 1918 that empowers Canadians impacted by blindness to live their dreams – to help bring the benefit of AI glasses…
- An updated Model Spec for more capable and beneficial AI
OpenAI’s updated Model Spec outlines five core values to guide more capable AI toward sound judgment, human agency, and faithfulness to human intent.
- Speeding up language models for travel applications
Two optimization techniques, when combined, can significantly improve a model’s speed and cost effectiveness without sacrificing quality.
- Research: Artificial Intelligence sector study 2025
An analysis of the UK’s artificial intelligence (AI) sector, developing estimates of the scale and scope of firms developing AI products and services in the UK.
- Catching Bugs Before They Land: JiTTesting’s Human-on-the-Loop Approach at Full Scale
Over the last year we’ve been sharing our work leveraging large language models to catch bugs on the fly — a novel approach we call Catching Just-in-Time Tests (JiTTests). Now, we’re sharing the results and positive…
- Unlocking Tensor Core Performance for Machine Learning Interatomic Potentials
Atomistic simulations help researchers understand how molecules and materials behave, from chemical reactions and phase transitions to mechanical failure. These...
- How We Built LangChain’s Paid Media Agent
How LangChain built a paid media agent to analyze campaign performance, optimize ads, propose changes, and turn marketing data into action.
- How We Built Our Design Agent
How LangChain built Content Studio, an open-source design agent in Slack that makes on-brand videos, graphics and decks, and the harness that powers it.
- The Art of Loop Engineering
Agents automate real-world work, but reliable performance requires more than a good model, it requires a carefully designed harness built for specific tasks. This post explores the core agent loop, how stacking and…
- Slice Into GFN Thursday: ‘Phantom Blade Zero’ Launches on GeForce NOW
This Halloween week, GFN Thursday is delivering a fresh batch of gaming treats. Something wicked this blade comes. S-GAME’s Phantom Blade Zero launches on GeForce NOW today, bringing a scarily good blend of martial arts…
- Le Chonk: Built for Coders, Trusted by Defenders.
The weights of Mistral Large 4 (Le Chonk) are now open. A 1T parameter multimodal model, and best open-weight model for coding, trained in Europe.
- Advancing SAP Lakehouse and New Data Fabric Innovations in SAP Business Data Cloud for the Autonomous Enterprise
Enterprises can build AI agents act with greater autonomy and confidence.
- How we detect frontier model misalignment
OpenAI uses layered monitoring to detect frontier model misalignment and unauthorized agent behavior so responders can intervene before incidents escalate.
- How Ropes & Gray is developing AI for transactional diligence
Ropes & Gray is developing AI for transactional diligence with OpenAI. Lawyers review grouped documents, summaries, and reports before advising clients.
- Foundation model for particle collision data analysis
Nature Machine Intelligence, Published online: 29 October 2026; doi:10.1038/s42256-026-01322-9 Hsu et al. present EVENET, a foundation model pretrained on simulated particle collisions using both self-supervised…
- Credit Saison achieves 954% ROI in a ChatGPT Enterprise pilot
Credit Saison’s ChatGPT Enterprise pilot delivered 954% ROI. See how leaders and employees helped turn the results into companywide adoption.
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