AI — Page 23
Artificial intelligence, machine learning, LLMs, and AI tools transforming development.
GPT 5.5 vs DeepSeek V4: The Benchmarks Tell a Jagged Story
OpenAI and DeepSeek released flagship models within 20 hours. The benchmark results reveal something more interesting than who's winning.
Claude Can Now Edit Your Videos. Here's What That Means.
Claude Can Now Edit Your Videos. Here's What That Means.
AI automation creator Nate Herk demonstrates Claude's new video editing pipeline—trimming filler words, adding motion graphics, all through natural language.
AI Coding Tools Work Best With Old Engineering Practices
AI Coding Tools Work Best With Old Engineering Practices
Developer educator Matt Pocock argues AI coding assistants amplify code quality issues. His solution? Decades-old software fundamentals matter more than ever.
The MacBook Pro That Questions Every Dollar You Spent
The MacBook Pro That Questions Every Dollar You Spent
Real-world testing reveals the M5 Pro matches the Max in most tasks while costing significantly less. The gap only matters for one specific workload.
The Benchmark Paradox: What Qwen 3.6's Numbers Actually Mean
The Benchmark Paradox: What Qwen 3.6's Numbers Actually Mean
Qwen's new 27B model is beating models 10x its size—on paper. Here's what those benchmarks aren't telling you about AI performance.
OpenAI's GPT-5.5 Claims Speed Crown—But Costs 20% More
OpenAI's GPT-5.5 Claims Speed Crown—But Costs 20% More
GPT-5.5 promises faster AI coding with fewer tokens, but WorldofAI's tests reveal where it excels—and where it disappoints at premium pricing.
OpenAI's GPT-5.5: When the Benchmarks Don't Tell the Whole Story
OpenAI's GPT-5.5: When the Benchmarks Don't Tell the Whole Story
GPT-5.5 arrives with impressive real-world benchmarks and doubled pricing. But the coding results reveal tensions in how we measure AI capability.
Apple's New CEO Inherits a Paradox: Did Doing Nothing Win AI?
Apple's New CEO Inherits a Paradox: Did Doing Nothing Win AI?
John Ternus takes over Apple amid questions about whether the company's AI inaction was genius or fumble. Plus: Google forms a coding strike team.
Traycer's Bart Mode: When AI Agents Stop Needing Babysitters
Traycer's Bart Mode: When AI Agents Stop Needing Babysitters
Traycer's new Bart Mode promises autonomous AI coding that actually works. We examine whether spec-driven orchestration solves the babysitting problem.
ChatGPT Images 2.0 vs. Midjourney: Where Text Finally Works
ChatGPT Images 2.0 vs. Midjourney: Where Text Finally Works
ChatGPT's new image generator excels at text accuracy where competitors fail. A deep dive into what works, what doesn't, and what it means for AI images.
AI Memory Wars: When Your Assistant Forgets Everything
AI Memory Wars: When Your Assistant Forgets Everything
Karpathy's wiki and OpenBrain solve AI's memory problem from opposite directions. The choice you make determines whether your AI gets smarter or just noisier.
Google's AI Agent Platform Promises Production-Ready Bots
Google's AI Agent Platform Promises Production-Ready Bots
Google Cloud's new Gemini Enterprise Agent Platform aims to bridge the gap between building AI agents and deploying them at scale. Here's what's actually new.
Claude's 1M Context Window Breaks at 40% Capacity
Claude's 1M Context Window Breaks at 40% Capacity
Claude Code's million-token context degrades at 300-400k tokens. Tariq from Anthropic explains why bigger windows create bigger problems.
Why Your AI Memory System Should Be as Unique as Your Brain
Why Your AI Memory System Should Be as Unique as Your Brain
There are 35+ Claude Code memory frameworks. Developer Mark Kashef argues none of them will fit you perfectly—and shows how to build one that does.
Coding Models Have Become the AI Arms Race Nobody Expected
Coding Models Have Become the AI Arms Race Nobody Expected
OpenAI's GPT-5.5 leak and Google's emergency response reveal why coding ability—not chatbots—now determines which AI lab wins the future.
ADK vs RAG: When Your AI Should Act vs. Remember
ADK vs RAG: When Your AI Should Act vs. Remember
Katie McDonald from IBM Technology explains the fundamental choice in AI architecture: build systems that perform tasks or retrieve knowledge—or both.
Kimi K2.6 Nails Agent Tasks But Burns More Tokens Than Its Predecessor
Kimi K2.6 Nails Agent Tasks But Burns More Tokens Than Its Predecessor
Moonshot's Kimi K2.6 ranks #2 on OpenClaw with perfect usable fit, but costs more than K2.5 on basic coding. The efficiency tradeoff explained.
The Skills Gap Software Engineers Miss in AI Transition
The Skills Gap Software Engineers Miss in AI Transition
Software engineers moving to AI roles face a critical blind spot: evaluation. Why traditional testing skills don't transfer and what actually matters.
Claude Opus 4.7's Hidden Cost: When AI Gets Smarter and Pricier
Claude Opus 4.7's Hidden Cost: When AI Gets Smarter and Pricier
Anthropic's Opus 4.7 fixes major bugs but ships with a tokenizer that costs 35% more. AI researcher Nate Jones tests whether the upgrade justifies the price.
NVFP4 vs INT4: The Quantization Format That's 27% Faster
NVFP4 vs INT4: The Quantization Format That's 27% Faster
Nvidia's NVFP4 quantization outperforms traditional INT4 by 27% while maintaining quality—but the real story is what this reveals about benchmarking.