The 12 AI stories that mattered in the week of 2 Nov – 8 Nov 2026
Ranked by impact from 103 stories AIPulsee tracked. Each one explained in plain English.
I'm not convinced the AI bubble exists
The article argues that the hype around artificial intelligence is overstated and that the market is not in a bubble. It points out that many AI projects are still experimental, that investment is high but real-world applications are limited, and that the industry’s growth may be slower than expected.
How I Fight AI Brain Fry
In the post, Sergey Kuhle shares how he combats "AI brain fry"—the mental overload that comes from the nonstop flood of AI news, hype, and jargon—by setting strict consumption limits, curating trustworthy sources, and focusing on deep, fundamentals‑first learning rather than chasing every new headline. He outlines practical habits like scheduled reading windows, using newsletters that filter noise, and taking regular breaks to keep his thinking clear and productive.
Goldman Sachs is pulling Claude Code from its bankers and traders
Goldman Sachs has decided to stop using Claude Code, an AI coding assistant from Anthropic, in its banking and trading teams. The move comes after concerns about the tool’s reliability, potential compliance risks, and the need for tighter control over AI-generated code in high-stakes financial environments.
Goodbye Claude, hello Pi
OpenAI’s Claude, a popular AI chatbot, is being phased out in favor of a new model called Pi, which promises faster responses and a more conversational style. The shift reflects a broader industry move toward lighter, more accessible AI tools that can run on everyday devices rather than large cloud servers.
Llama-modchip: 284B DeepSeek on 64GB RAM, no GPU
Llama‑modchip shows that a 284‑billion‑parameter language model can run on a single 64‑GB RAM machine without any GPU, using a custom hardware‑accelerated chip. This demonstrates that massive models can be deployed on much cheaper, more energy‑efficient hardware, making advanced AI more accessible to smaller organizations.
Claude Code's "Don't Ask Again" exposes passwords in 1,122 public GitHub files
Claude Code’s new "Don't Ask Again" feature accidentally exposed passwords stored in 1,122 public GitHub files, revealing that the AI was reading and publishing sensitive credentials it found in code repositories. The incident shows that even well‑intentioned coding assistants can become vectors for leaking private data if they are not carefully sandboxed or monitored.
The end of Microsoft Research's AI Frontiers group
Microsoft Research has shut down its AI Frontiers group, a unit that focused on cutting‑edge AI research and collaboration with industry partners. The move signals a shift in Microsoft’s strategy, concentrating resources on more applied AI projects and internal teams rather than a separate research frontier lab.
AI is dramatically accelerating AI research
The article explains how artificial intelligence is now speeding up its own development, using techniques like automated machine learning, self‑supervised learning, and meta‑learning to design better models faster. This means researchers can iterate on algorithms and architectures more quickly, reducing the time from idea to deployment.
Anthropic IPO buyers see valuation as low as $1.1T
Anthropic’s potential IPO has attracted buyers who believe the company’s valuation should be as low as $1.1 trillion, a sharp drop from earlier expectations. This reflects growing caution among investors about the profitability and growth prospects of large AI firms, and suggests that the market may be tightening on valuations for high‑profile AI IPOs.
I struggle to believe that AI R&D is ingenious
The post argues that many claims about AI research being highly innovative are overstated, pointing out that much progress is incremental and driven by existing tools rather than truly novel ideas. It highlights how hype can distort expectations and misallocate resources in the field.
Claude Code sends your email address to websites
A user reported that Claude Code included their email address in the User-Agent header during web searches, leading to many scam emails. The issue was posted on GitHub as a privacy violation bug on Nov 5, 2026.
Cuban: Facebook knowingly runs AI deepfake scam ads; docs say $16B fraud revenue
Mark Cuban says he repeatedly sees AI-generated deepfake ads on Facebook that use his likeness to promote a fake $294 diabetes cure, and he claims Meta knowingly runs these scam ads. Internal Meta documents show the company expects about $16 billion in revenue from ads linked to fraud and prohibited products, with billions of high‑risk ads shown daily.