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Artificial intelligence
Evaluate where AI is useful, understand the systems behind it, and make informed choices about models, data, and deployment.
176 articles · Page 7 of 15
Meta's 'Watermelon' Matches GPT-5.5 on 10x the Compute — and Muse Image Ships
Meta's in-training 'Watermelon' reportedly matches GPT-5.5 at ~10x the compute, and Muse Image ships from Superintelligence Labs — rumor vs confirmed.
xAI Is Now SpaceXAI: Musk Folds His AI Lab Into SpaceX
SpaceX absorbed xAI and rebranded it SpaceXAI on July 6, 2026. What owning model, compute, and launch actually buys, and the risks it raises.
Anthropic Redeploys Claude Fable 5 After 18 Days Under U.S. Export Controls
Anthropic restored Claude Fable 5 on July 1 after Commerce lifted an 18-day export-control hold triggered by an Amazon jailbreak. What the outage reveals.
Claude Science: Anthropic Builds an AI Workbench for the Lab Bench
Claude Science is Anthropic's beta research workbench: 60+ domain skills, HPC orchestration, and BioNeMo integration. A frontier lab goes vertical.
Claude Sonnet 5: Anthropic Cuts the Price and Closes the Gap to Opus
Claude Sonnet 5 ships at $2/$10 launch pricing as the most agentic Sonnet yet. The real story: the gap to Opus 4.8 and a new tokenizer.
GPT-5.6 Sol: OpenAI Gates Its New Flagship at the Government's Request
OpenAI previewed GPT-5.6 Sol, Terra, and Luna—then gated them to ~20 government-approved partners at the White House's request. What it signals.
How AI Finds Vulnerabilities: Fuzzing, Reasoning, and Validation
How AI agents find software vulnerabilities: hybrid fuzzing, static analysis, LLM reasoning, validation, benchmarks, and patch workflows.
OpenAI's GPT-5.5-Cyber and Codex Security: Defensive AI Moves Into the Commit Stream
OpenAI's GPT-5.5-Cyber and the Codex Security plugin move defensive AI from the chat window into the commit stream. What the AISI benchmarks really show.
Why the AI Frontier Is Splitting Into Gated Specialists and Open Generalists
In 2026 the AI frontier forked: gated, domain-specific models for high-stakes work versus cheap open-weight generalists. What each means for buyers.
What It Costs to Run AI in Production: A 2026 Pricing Breakdown
What LLM inference actually costs in 2026: per-token rates, reasoning-token overhead, prompt caching, and the self-host crossover point.
GLM 5.2: An Open-Weight Coder That Beats GPT-5.5 on Price, Not the Frontier
Z.ai's MIT-licensed GLM 5.2 edges GPT-5.5 on agentic coding at one-sixth the API cost, but trails Opus 4.8 and loses on terminal coding.
Kimi K2.7 Code: Moonshot Cuts Thinking Tokens 30%, But the Benchmarks Are All Its Own
Moonshot's Kimi K2.7 Code cuts reasoning tokens ~30% and undercuts the frontier on price, but every headline benchmark is first-party and unverified.