AI — Page 45
Artificial intelligence, machine learning, LLMs, and AI tools transforming development.
Jaron Lanier: The AI Danger Is the Ideology, Not the Code
Jaron Lanier argues the real AI threat isn't the software—it's the philosophy wrapped around it. Here's what he means, and why it's worth taking seriously.
Vibe Coding Grew Up. Karpathy Explains What's Next
Vibe Coding Grew Up. Karpathy Explains What's Next
Andrej Karpathy says vibe coding raised the floor. Agentic engineering is the harder discipline forming on top of it—and the gap between who gets it is widening fast.
Kimi K2.6 Is Free on NVIDIA NIM—Read the Fine Print
Kimi K2.6 Is Free on NVIDIA NIM—Read the Fine Print
Kimi K2.6 is now free via NVIDIA's NIM API. But who controls AI model distribution when NVIDIA becomes the default inference layer?
Claude Jupiter Leaks and a Gemini Flash Upgrade Point to May 6
Claude Jupiter Leaks and a Gemini Flash Upgrade Point to May 6
Anthropic's mysterious Claude Jupiter model surfaces in testing while Google quietly upgrades Gemini Flash. Plus: OpenAI adds pets to Codex, and AGI benchmarks humble everyone.
OpenAI's Codex Is Growing Up Fast—And Getting Weird
OpenAI's Codex Is Growing Up Fast—And Getting Weird
OpenAI's latest Codex updates add browser control, AI-reviewed approvals, and... animated pets? A look at where AI coding tools are actually heading.
Why Context Engineering Is AI's Real Bottleneck
Why Context Engineering Is AI's Real Bottleneck
AI models aren't the problem anymore—accessing the right data at the right time is. Here's how context engineering changes what's actually possible.
Claude Code vs Codex: Which AI Coding Tool Actually Ships?
Claude Code vs Codex: Which AI Coding Tool Actually Ships?
AI LABS tested Claude Opus 4.7 against GPT 5.5 across nine categories. The results reveal surprising tradeoffs between polish and efficiency.
AI's Subsidy Era Is Ending—And the Real Business Begins
AI's Subsidy Era Is Ending—And the Real Business Begins
Token scarcity is forcing AI companies to abandon flat pricing. What happens when the era of experimentation meets the reality of infrastructure economics?
The Coding Job Is Now Planning and Review—And Needs New Tools
The Coding Job Is Now Planning and Review—And Needs New Tools
Louis Knight-Webb argues software engineering is becoming plan-and-review work as AI coding agents mature. He's shutting down his startup to prove it.
Fallow: Cleaning Up After AI Coding Agents
Fallow: Cleaning Up After AI Coding Agents
Fallow promises to detect dead code, duplication, and complexity in AI-generated JavaScript. But who's actually responsible for code quality?
April's GitHub Trends Reveal AI Agent Cost Wars
April's GitHub Trends Reveal AI Agent Cost Wars
Developers are building open-source tools to reduce AI costs by 75%, escape vendor lock-in, and build agents that autonomously improve themselves.
Splitting One LLM Across Two Machines: Does It Actually Work?
Splitting One LLM Across Two Machines: Does It Actually Work?
Alex Ziskind tested disaggregated inference by combining a DGX Spark and Mac Studio to run LLMs. Here's what actually happened when theory met reality.
Open-Source AI Models Are Closing the Gap—and Cutting Prices
Open-Source AI Models Are Closing the Gap—and Cutting Prices
DeepSeek V4 and other open models now rival top AI systems at fraction of the cost. The implications for the industry are just starting to emerge.
FastEmbed and the Quiet Politics of Local AI Development
FastEmbed and the Quiet Politics of Local AI Development
FastEmbed's approach to local AI embeddings reveals regulatory tensions between accessibility and performance in the emerging AI infrastructure debate.
DeepSeek V4 Undercuts AI Giants While France Ditches Windows
DeepSeek V4 Undercuts AI Giants While France Ditches Windows
DeepSeek's V4 slashes AI inference costs by 90% as France commits to Linux migration. Plus: Ubuntu's local inference push and Linux drops 486 support.
Why AI Refactors Code Perfectly But Can't Count R's
Why AI Refactors Code Perfectly But Can't Count R's
Andrej Karpathy explains AI's 'jagged' capabilities: why models excel at coding but fail basic tasks. The answer reshapes how we build software.
Netflix's VOID AI Erases Actors—and Their Physics Impact
Netflix's VOID AI Erases Actors—and Their Physics Impact
Netflix's open-source VOID model doesn't just remove objects from video—it understands cause and effect. We tested it on iconic movie scenes.
Cursor Replaced 15,000 Lines of Code with 200 Lines of Markdown
Cursor Replaced 15,000 Lines of Code with 200 Lines of Markdown
How Cursor's David Gomes deleted a complex feature and rebuilt it with prompts—plus the very real problems that came with trusting models instead of code.
Why Your Company's AI Tool Keeps Failing You (And How to Fix It)
Why Your Company's AI Tool Keeps Failing You (And How to Fix It)
Corporate AI tools often can't do the actual work. Here's how to measure the gap and make a case for better tools without sounding like the problem.
AI Companies Are Running Out of Compute—and Money
AI Companies Are Running Out of Compute—and Money
As AI agents consume tokens at unprecedented rates, companies like Anthropic and GitHub are abandoning flat-fee pricing. The subsidy era is over.