AI — Page 30
Artificial intelligence, machine learning, LLMs, and AI tools transforming development.
Claude Mythos, GPT-5.6, and DeepSeek's Pricing Bomb
Claude Mythos 1, Opus 4.8, and GPT-5.6 are all pointing toward a chaotic June. Plus: DeepSeek just repriced the entire API market. Here's what's real.
Five Ways AI Can End Your Career at Work
Five Ways AI Can End Your Career at Work
Shadow AI, hallucination laundering, zombie agents—IBM's Martin Keen maps the AI workplace risks that have already cost people their jobs. Here's what they actually mean.
FOMAT: When Your AI Agent Follows You Home
FOMAT: When Your AI Agent Follows You Home
Michael Richman's Cmd+Ctrl lets you manage AI coding agents from your phone. The right-to-disconnect questions it raises may matter more than the features.
Inside Google DeepMind's Messy Reality of AI Agents at Scale
Inside Google DeepMind's Messy Reality of AI Agents at Scale
Google DeepMind engineers have worse token quotas than paying customers. KP Sawhney and Ian Ballantyne reveal what running AI agents at Google scale actually looks like.
Anthropic's Mythos 1: Power, Leaks, and Mixed Signals
Anthropic's Mythos 1: Power, Leaks, and Mixed Signals
Mythos 1 found 10,000+ critical vulnerabilities in 30 days. Now it's leaking into Anthropic's products—days after they said it wouldn't be released.
When Your AI Agent Fails 17% of the Time
When Your AI Agent Fails 17% of the Time
Anthropic's workshop on agent architecture drift reveals a 17% failure rate with real regulatory implications for enterprises deploying AI in supply chains.
9-Arm Skills: AI Agents Need Brakes, Not More Gas
9-Arm Skills: AI Agents Need Brakes, Not More Gas
A tiny GitHub repo called 9-arm-skills argues AI coding agents need behavioral constraints, not more power. The accountability implications go deeper than the code.
What AI Town Experiments Actually Teach Us About Agents
What AI Town Experiments Actually Teach Us About Agents
Emergence AI's 15-day virtual town experiment revealed wildly different AI behaviors—and the real lesson has nothing to do with which model is "best."
SpaceX $75B IPO, AI Cracks 80-Year Math Problem
SpaceX $75B IPO, AI Cracks 80-Year Math Problem
SpaceX files the largest IPO in history. An AI disproves an 80-year-old math conjecture. GPT-5.5 beats prediction markets. One week's news, mapped clearly.
Google Stitch's Free AI Design Tool Has Market Consequences
Google Stitch's Free AI Design Tool Has Market Consequences
Google Stitch's latest update is a product story and a market power story. The competitive and regulatory questions it raises deserve more than a shrug.
AI Is Corrupting Your Documents—And Gen Z Knows It
AI Is Corrupting Your Documents—And Gen Z Knows It
New Microsoft research finds top AI models corrupt 25% of document content in long workflows. Meanwhile, Gen Z's AI skepticism might be the healthiest response in the room.
Claude Code's New Workflow Tool Changes Multi-Agent AI
Claude Code's New Workflow Tool Changes Multi-Agent AI
Anthropic quietly added a workflow tool to Claude Code that replaces model-based orchestration with deterministic JavaScript. Here's what that actually means.
Gemini 3.5 & Omni: What Google I/O Actually Showed
Gemini 3.5 & Omni: What Google I/O Actually Showed
Google unveiled Gemini 3.5 Flash and Omni at I/O 2026. Here's what the demos actually showed—and what questions they left open.
Google I/O 2026: Big AI Bets, Bigger Questions
Google I/O 2026: Big AI Bets, Bigger Questions
Google I/O 2026 reshaped search, launched agentic AI, and raised real questions about data control. Here's what the announcements actually mean.
Google I/O 2026: The Agentic Gemini Era Explained
Google I/O 2026: The Agentic Gemini Era Explained
Google wants persistent AI access to your Gmail, search, Android, and glasses. Here's what 'agentic Gemini' actually means for your digital privacy.
Run Your AI Agent in a Container, Not in Chaos
Run Your AI Agent in a Container, Not in Chaos
Red Hat's Sally Ann O'Malley shows how containers solve the AI agent sharing problem—from Podman secrets to Kubernetes at scale, in under two seconds.
Six Protocols That Make AI Agents Actually Work
Six Protocols That Make AI Agents Actually Work
Google's agent protocol stack—MCP, A2A, UCP, AP2, A2UI, AGUI—explained through a kitchen manager demo. What each protocol does and when to reach for it.
Anthropic's Credit System: Vendor Lock-In or Fair Deal?
Anthropic's Credit System: Vendor Lock-In or Fair Deal?
Anthropic's new programmatic credits sound like a bonus—until you do the math. Here's what developers actually need to know before June 15th.
CAG vs Long Context: How LLMs Access External Data
CAG vs Long Context: How LLMs Access External Data
Long context and Cache Augmented Generation solve the same problem differently. Here's what that means for AI costs, speed, and when to use which approach.
Claude Managed Agents: What the Infra Layer Reveals
Claude Managed Agents: What the Infra Layer Reveals
Anthropic's Claude Managed Agents shifts the bottleneck from model intelligence to infrastructure. Here's what the technical architecture actually means for developers.