The Fable 5 Saga, Start to (Not Quite) Finish
Anthropic's Fable 5 launched, got yanked by export controls, came back, and picked up ID checks along the way. A fortnight of AI sovereignty, told via The Godfather.
Anthropic's Fable 5 launched, got yanked by export controls, came back, and picked up ID checks along the way. A fortnight of AI sovereignty, told via The Godfather.
Anthropic details Fable 5's cyber safeguards and a draft jailbreak severity framework, sorting cybersecurity uses into risk tiers and scoring techniques on four axes.
OpenAI begins a limited preview of GPT‑5.6 Sol, Terra and Luna, pairing stronger cyber capabilities with tighter safeguards and a government-coordinated phased rollout ahead of broader release.
xAI has launched Voice Agent Builder in beta, a no-code platform for building voice agents on Grok Voice, claiming top marks on its own benchmark against Gemini and GPT Realtime.
US export controls on Fable 5 and Mythos 5 have lifted. Anthropic details the Amazon-reported bypass, its fix, and a new Glasswing-backed framework for scoring AI jailbreak severity
Meta's Brain2Qwerty v2 decodes brain activity into text without surgery, hitting 61% word accuracy (78% for its best volunteer) from non-invasive MEG data. Training code released.
Nearly half of everything you've watched on this channel in recent months has clustered around five conversations, and all five keep circling the same uncomfortable subject.
Nine month design cycle, deployment from end 2026, gigawatt scale rollout planned with Microsoft.
Jeff Bezos and Sundar Pichai are in the corner playing pool.
Pope Leo's encyclical on AI is one of the most serious documents written on the subject. The launch optics undermined it before most people read a word.
As Elon Musk testifies in Oakland, the lawsuit over OpenAI’s for-profit conversion establishes a high-stakes benchmark for AI governance and fiduciary duty.
The new partnership gives Cursor unprecedented compute access and gives SpaceX a path to dominate agentic software development.
While it promises rapid vulnerability detection, the emergence of Anthropic’s latest AI raises questions about security risks, defensive preparations, and the future of knowledge work.
Cycode’s Top AI Security Vulnerabilities to Watch out for in 2026 report outlines rising risks across prompt injection, data exposure, and AI supply chains.
Security models are no longer enough as multi-modal attacks overwhelm traditional controls, forcing a rethink of enterprise trust systems.
MCP is rapidly transforming how AI agents interact with enterprise systems, opening up a new class of supply chain, identity, and governance risks that security teams can’t ignore.
Hefty cash burn threatens OpenAI’s longevity in the face of self-funded competitor.
Google DeepMind CEO warns that defensive systems must outpace AI-powered attack vectors as AGI approaches.
From the EU AI Act to cyber policy wording, panelists examined how emerging regulation and insurance structures intersect with enterprise AI deployment.
Supreme Court allows appeal in Emotional Perception AI v. Comptroller General, mandating EPO-aligned test for computer-implemented inventions under UK law.
Experts discuss the practical steps organizations must take to secure AI, protect data, and operationalize responsible deployments.
Google's HeAR AI model analyses cough sounds to detect diseases, trained on 300 million audio samples. It shows promise for early TB detection, outperforms other models, and is available to researchers for developing custom bioacoustic tools.
The Dresden facility, set to open in 2026, will produce 40,000 300mm wafers monthly using advanced FinFET processes, boosting Europe's chip industry.
Google Classroom marks 10 years with AI integration. LearnLM models pilot new features, enhancing personalised learning and teacher efficiency.
MIT's zinc-air microbattery, smaller than a sand grain, powers tiny robots. It uses air to oxidise zinc, generating 1 volt for circuits and sensors.
MIT researchers propose personhood credentials to verify human users online, obtained offline and used optionally to distinguish from AI accounts.
MIT's SigLLM framework uses large language models to detect anomalies in time-series data without extensive training, showing promise for complex systems.