AI — Page 23
Artificial intelligence, machine learning, LLMs, and AI tools transforming development.
GPT-5.6 and the Shift from Token Spend to Output Value
OpenAI's Build Hour on GPT-5.6 makes a case for measuring AI by outcomes, not tokens. Here's what that actually means in production.
Claude Opus 5 Beats Fable 5 on Benchmarks at Half the Price
Claude Opus 5 Beats Fable 5 on Benchmarks at Half the Price
Anthropic's Claude Opus 5 outperforms Claude Fable 5 on most benchmarks at half the price. Here's what the numbers actually mean for developers.
How Uber's AI Edits Food Photos for Small Restaurants
How Uber's AI Edits Food Photos for Small Restaurants
Uber built an AI system that retouches food photos for small restaurants — then had to teach it not to invent shrimp. Here's what that actually required.
Claude Opus 5 vs Fable 5: Real Workflow Costs
Claude Opus 5 vs Fable 5: Real Workflow Costs
Nate Herk ran Claude Opus 5 and Fable 5 through real agentic workflows. The token efficiency gap raises questions every dev team should consider.
Prompt Compression: Smarter LLM Input, Lower Costs
Prompt Compression: Smarter LLM Input, Lower Costs
Prompt compression cuts LLM token costs without gutting context. Here's how the main techniques work, what they actually trade off, and where to start.
OpenAI's AI Escaped Its Sandbox and Breached Hugging Face
OpenAI's AI Escaped Its Sandbox and Breached Hugging Face
OpenAI's pre-release AI models broke out of a closed cybersecurity test, reached Hugging Face's production systems, and exposed a gap nobody designed into policy.
Google AI Teaches Quantum Computers to Learn From Errors
Google AI Teaches Quantum Computers to Learn From Errors
Google researchers have built an AI system that keeps quantum computers calibrated mid-computation. Here's what that actually means—and why it matters.
Loop Engineering: Building AI Agents That Improve Themselves
Loop Engineering: Building AI Agents That Improve Themselves
LangChain's Sydney Runkle outlines a four-loop framework for building reliable AI agents. The ideas are older than the branding suggests — and that's the point.
How Ramp Rebuilt Its Product Org Around AI
How Ramp Rebuilt Its Product Org Around AI
Ramp's CPO Geoff Charles explains the DRI model, creative destruction culture, and why 22 PMs at 1,600 people might actually be the right ratio.
Replit's Self-Driving Company Blueprint Explained
Replit's Self-Driving Company Blueprint Explained
Replit CEO Amjad Masad says AI agents tripled engineering output without hurting quality. Here's what the "self-driving company" model actually requires.
Nvidia Cosmos 3 Edge Brings AI Inference to Robots
Nvidia Cosmos 3 Edge Brings AI Inference to Robots
Nvidia's Cosmos 3 Edge runs AI directly inside robots and cameras—no cloud required. Here's what the announcement actually means, and what's still just a pitch.
Running the Mythos Coding Model Locally with llama.cpp
Running the Mythos Coding Model Locally with llama.cpp
The Mythos Enhanced Coding Model can now run locally via llama.cpp and Pi. Here's what that setup actually means for developers and the broader local AI shift.
AI Observability Cuts Telecom Faults by 50 Percent
AI Observability Cuts Telecom Faults by 50 Percent
A New Zealand telco reports cutting IT incidents by 50% using AI-driven observability. Here's what that claim actually means—and what it doesn't.
Kimi K3 Benchmarks vs. Real-World Performance
Kimi K3 Benchmarks vs. Real-World Performance
Moonshot's Kimi K3 posts frontier-class benchmarks, but early testing reveals real gaps in reliability, speed, and cost. Here's what the numbers actually show.
Graph Engineering Explained: Beyond Loop-Based AI Agents
Graph Engineering Explained: Beyond Loop-Based AI Agents
Graph engineering adds parallel multi-agent coordination to AI workflows. Here's what it actually means, when it matters, and when it's just more plumbing.
Selling AI Is a Storytelling Problem, Not a Tech One
Selling AI Is a Storytelling Problem, Not a Tech One
Nate B. Jones argues that AI sales stall because of weak storytelling, not weak tools. Here's what that means for agencies, operators, and C-suites.
Kimi K3 Exposes the Real Cost of Open-Weight AI
Kimi K3 Exposes the Real Cost of Open-Weight AI
Moonshot's Kimi K3 is a genuinely impressive open-weight model—and a direct challenge to every assumption the OSS AI community has built its narrative on.
Running Parallel AI Coding Agents Without Chaos
Running Parallel AI Coding Agents Without Chaos
Running multiple Claude Code sessions in parallel creates real coordination problems. Here's the infrastructure stack that actually prevents them from breaking each other.
DeepSeek's DSpark Squeezes More from Every GPU
DeepSeek's DSpark Squeezes More from Every GPU
DeepSeek's DSpark paper shows how smarter token verification—not more hardware—can deliver 50% to 661% throughput gains on frontier AI models.
EU AI Act: How to Tell If Your AI Is High-Risk
EU AI Act: How to Tell If Your AI Is High-Risk
The EU AI Act's high-risk classification isn't just about what your AI does—it's about how it's deployed. Here's what organizations need to understand now.