73 articles
Anthropic's new research reveals LLMs have an internal 'workspace' for silent reasoning - and it could change how we build safer AI.
Everything developers need to migrate from Sonnet 4.6 to Sonnet 5 - three breaking API changes, the new effort parameter, tokenizer impact, and when to use each effort level. Verified against Anthropic's official docs on July 4, 2026.
Anthropic's Claude Science combines scientific tools, local code execution, and HPC integration into one AI workbench. Here is how to access it, what it costs, and where it fits alongside Claude Code.
A decision framework for 2026: MCP servers give an agent access to a live system, Agent Skills teach it how to do a task. Here is when to build each, when to build both, and the criteria that actually decide it, grounded in the MCP spec and Anthropic's skills docs.
Claude Sonnet 5 lands near Opus 4.8 on some tasks for a fraction of the price - but a new tokenizer runs about 30 percent more tokens. Here is the upgrade decision for builders, with the numbers.
Fable 5 changes multi-agent orchestration because the orchestrator can now hold the whole project in one head. Here is the manager-model pattern: a 1M-context frontier model leading, delegating scoped work to cheaper workers, and verifying results.
Standing up a fleet of Fable 5 agents is the easy part. This is the operations layer - data retention rules, refusal-rate alerting, effort tuning, observability, and availability planning - that keeps the fleet running.
Anthropic's most capable model launched, got suspended by a US export-control order, and returned today. Here is what Fable 5 is, what changed on the way back, and whether builders should reach for it.
Vercel's eve gives you the agent plumbing - durable sessions, sandboxed code execution, approvals, subagents - as a folder of files. Fable 5 gives you a long-horizon reasoning model. Here is how to wire them together, what it costs, and who the stack fits.
The orchestrator is the most important model choice in an agent fleet. A fair head-to-head between Fable 5 and Opus 4.8 for that role, with a decision matrix by run length, budget, compliance, and refusal-handling tolerance.
Fable 5 refusals come back as a 200 response, not an error. At fleet scale, that quietly corrupts entire runs. Here is how to detect, fall back, and treat refusal rate as a health metric.
1M context, 128K output, a memory tool, compaction, and task budgets change what a single agent run can cover. Here is what is verified, what is plausible, and six projects builders can try now.
A developer reverse-engineered Claude Code and found hidden markers that classify users by timezone, domain, and API keywords - using unicode apostrophe swaps and date format changes.
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