
Dario Amodei argues AI is too unreliable for autonomous weapons and too powerful for any single actor to control unchecked.

Oracle and OpenAI scrap plans to expand the Stargate data center in Texas. Meta is in talks to take over, with NVIDIA brokering the deal.

Skills are just capabilities. The real power comes from layering agents, commands, and task runners on top

Anthropic's study measures actual AI usage, not just what's theoretically possible, showing a gap between what AI could automate and what it actually does today

OpenClaw became the fastest-growing GitHub project in history with over 180,000 stars, built from a 1-hour prototype that connected WhatsApp to Claude Code

Software moats now hinge on whether a function is deterministic (always gives the exact right answer) or probabilistic (gives a roughly right answer). Payroll and invoicing can't tolerate AI's error margin.

GPT-5.4's new Playwright skill lets it open a browser, spot visual bugs, and fix them without human input, producing a 3D project in three prompts

GPT-5.4 combines GPT-5.2's general knowledge and GPT-5.3 Codex's coding ability into one model, matching the unified approach Anthropic took with Opus 4.6

CNBC reports Jensen Huang said Nvidia's current $30 billion OpenAI investment is likely as far as the company will go

Claude Code started as a chatbot experiment; it became agentic the moment it received the bash tool, and that shift redefined how Anthropic builds software

AI agents will be the biggest users of enterprise software, but not all software will survive the shift

NBIM's 9,000 portfolio companies are queried daily through custom MCP integrations built by the fund's own team

Claude's Constitutional AI training makes it more likely to challenge your thinking than agree with you, a difference that compounds over time

Context is the biggest unlock: provide enough of it, manage it actively, and don't let auto-compaction decide what to keep

A2A handles agent-to-agent communication while MCP connects individual agents to tools and data — they solve different problems

Sam Altman admitted OpenAI's Pentagon deal 'looked opportunistic and sloppy' and is now adding safeguards to exclude intelligence agencies

Meta Superintelligence Labs was designed from scratch with a focus on talent density and long-term science rather than short-term deadlines

AI agents must be secured, governed, and audited. These three pillars form the foundation of IBM and Anthropic's enterprise security framework

Anthropic is reportedly growing revenue at 10x per year compared to OpenAI's 3.4x, with a crossover point expected mid-2026

AI-generated songs reportedly make up nearly 40% of daily uploads to streaming platforms, yet most listeners cannot tell the difference

Half of Waymo's miles in San Francisco are driven without passengers, adding congestion and environmental cost

Stripe ships over 1,300 pull requests per week with zero human-written code, powered by six architectural layers working together

AEO (Answer Engine Optimization) focuses on being recommended in AI-generated answers, not just ranked in search results

Multi-method agentic AI combines LLMs with workflow platforms, business rules, and ML for more robust automation

Claude Code now authors 4% of all public GitHub commits and is predicted to reach one-fifth by year's end

Steinberger built OpenClaw essentially alone using AI agents, something he describes as impossible for any single human before AI coding tools

Mocking and prototyping shrank from 60-70% to 30-40% of a designer's time as engineers now build faster than designers can mock

Software has evolved through three paradigms: traditional code (1.0), neural network weights (2.0), and natural language prompts (3.0)

Natural language is the most important programming language of the AI era because LLMs understand human speech directly

Block cut from 10,000+ to under 6,000 employees despite growing revenue, signaling that large engineering teams may become a liability rather than an asset

AI agents crossed a capability threshold in early 2026, going from chatbots to autonomous workers that build software and replace entire workflows

Anthropic holds firm on two red lines — no domestic mass surveillance and no fully autonomous weapons — while supporting 99% of Pentagon use cases

Poetiq scored 55% on Humanity's Last Exam, outperforming Claude Opus 4.6 (53.1%) — built on top of existing models without any fine-tuning

Jacob designed every aspect of his AI girlfriend Aiva — her appearance, personality, and behavior — on the Replika platform

Trump framed the dispute as a national security threat, calling Anthropic 'left-wing nut jobs' and threatening civil and criminal consequences

Claude Code started as a throwaway terminal experiment to learn the Anthropic API — it was never intended to be a product

Two hours of AI-supported core academics can free substantial time for skills often deprioritized in traditional school models

This is not only a contract fight; it is a governance fight over who sets practical boundaries for military AI use

Klarna has shrunk from 7,000 to under 3,000 employees — a 50% reduction — with no additional investment, mostly through natural attrition

Prompt caching provides up to 90% discount on input tokens with GPT-5+ and up to 67% faster response times