Thursday, 5 November 2026
This dated roundup collects the most interesting AI and technology developments found for Thursday, 5 November 2026.
Policy & Ethics
Martin buys Adaptify to add AI insurance product and pricing technology
The acquisition pairs configurable software with insurance development and regulatory services. Faster launches are the promise; the announcement provides no measured results.
Read moreOpenAI’s policy chief pitches worker incentives and enforceable AI safety rules for 2028
Chris Lehane pairs wider AI adoption with worker incentives and safety rules. Critics question whether the proposals would distribute gains or constrain corporate power.
Read moreDemocrats win Congress, setting up tougher AI scrutiny but hurdles for new rules
Investigations and spending negotiations give the incoming majority leverage. Turning competing AI proposals into law will require more than control of both chambers.
Read moreResearch & Products
datasette-llm 0.1a10
Release: datasette-llm 0.1a10 Fixes a bug that affected my agent.datasette.io demo site, where the set of available LLM models was not correctly restricted to just those in the configuration. Tags: datasette , llm
Read moreIndia launches three homegrown AI models, including two built to work offline
EKA-1 targets reasoning and programming, while Dhir 2B and Dhir 5B focus on local document work. Their stated language coverage also differs.
Read moreIndustry
OpenAI to acquire Pierre Computer, bringing code storage into Codex
The proposed deal adds a storage integration, while OpenAI promises continued service and open-source support.
Read moreDropbox acquires Tigris Data for $350M to bolster its AI infrastructure
The deal is expected to support the development of DBX Agent Cloud, a new storage platform aimed at developers building AI models and agents.
Read moreCommand Alkon acquires C60 to bring concrete-industry AI analytics into its cloud
The deal includes C60’s products and team. Command Alkon plans to integrate the analytics into Command Cloud while preserving connections to other vendors’ systems.
Read moreTags: hardware, open_source
The Wizard of Open Weights: Chris Alexiuk Makes AI Easy With Open Models
Chris Alexiuk has a simple rule about open source AI: If you believe in it, be loud about it. “We should be shouting about this technology from the rooftops,” said Alexiuk, a Toronto-based senior product research engineer in deep learning at NVIDIA who specializes in making open large language models (LLMs) practical for working developers. […]
Read moreTags: hardware, ai_agents
More Performance From Every Byte: How Full-Stack Codesign Solves AI’s Memory Challenge
Larger models, longer contexts and agentic applications are increasing GPU memory pressure while supply tightens and prices rise — a trend expected to continue through the near term. NVIDIA works closely with memory partners to rapidly adopt the latest memory technologies. NVIDIA was first to adopt HBM3e and HBM4 technologies into an accelerated computing stack. […]
Read moreTags: ai_agents
Almost no one uses AI agents to book their Uber, company says
During its busiest week last quarter, Uber said only four people booked a ride using an AI agent.
Read moreTags: open_source
Open source AI is booming. Hugging Face explains who profits.
Open source models are becoming more mainstream as enterprises, governments and startups alike rely on the promise of lower costs, more control, and more flexibility. But as increasingly capable models become more freely available, how do companies capture value? And with Chinese open models gaining ground, can American players keep up? On this episode of […]
Read more