Friday, 6 November 2026
This dated roundup collects the most interesting AI and technology developments found for Friday, 6 November 2026.
Policy & Ethics
Nasdaq sees worst day in 19 months as investors bet on AI slowdown after Democrats’ election triumph
Nearly $2tn shaved off Nasdaq value as worries of curbs to AI datacenters ripple across bourses The Nasdaq share index had its worst day in 19 months after slumping 5.5% on Thursday amid growing signs that the artificial intelligence industry will face tougher regulation because of the midterm election results. As Wall Street sustained widespread losses, the Nasdaq composite tumbled into “correction territory” – more than 10% below its recent record high – with more than $2tn shaved off its value by the end of trading Thursday. The tech-heavy index had its biggest one-day fall since...
Read moreMartin 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 moreResearch & Products
Baidu releases raw 280B AI model weights with limits on commercial use
ERNIE 5.5 Flash Base leaves later training to developers. Its license excludes three markets and requires separate authorization above a revenue threshold.
Read moreServe Robotics launches new business to become the AWS for robots
Serve Robotics announced alonsgside its third-quarter earnings that it will launch a new business line called Physical AI Services to offer customers its connectivity and data tools.
Read moreGPT-6 Astra leads Patel’s deception-game benchmark, with gains in spotting lies
The social-deception test rewards both coordinated bluffing and collective reasoning. Patel attributes much of OpenAI’s advantage to questioning evidence—not simply telling better lies.
Read moreMicrosoft releases Foundry extension 1.0 to test and deploy AI agents
Agent configuration stays beside application code for review and automated deployment. Local testing still calls Azure-hosted models and incurs usage charges.
Read moreIndustry
Dropbox 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 moreTags: hardware, reasoning
Vera Delivers the Best of Both Worlds: Highest Throughput and Fastest Agents
AI agents do more than generate answers. They search for information, query databases, write and test code and take action. Each of those steps relies on a CPU, with agents moving between GPU reasoning and CPU execution throughout a task. As businesses put more agents to work, AI factories need CPUs that can execute those […]
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 moreHow NVIDIA Open Source Tools Are Helping Researchers Build Next-Generation 6G Networks
A year ago, NVIDIA open sourced its Aerial wireless software, joining Sionna and a broader suite of open source tools for accelerating next-generation 6G network development. Together, they give researchers a foundation for testing ideas, comparing results and building on each other’s work — connecting simulation and AI training with experiments on real over-the-air wireless […]
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. […]
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