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Everything we’ve published under Anthropic so far.
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Anthropic's Opus 4.8 launch is not just another benchmark bump. The useful story is honesty, effort control, cheaper fast mode, and Claude Code workflows that can fan out across hundreds of subagents.
Petri 3.0 turns Anthropic’s open alignment-testing tool into a more hackable, more realistic eval stack under Meridian Labs. Useful, if buyers treat it as a test harness instead of a trust sticker.
Anthropic says Claude Mythos Preview can find and exploit serious software flaws at a new scale. Project Glasswing is its attempt to put that capability in defenders’ hands before attackers get the same advantage.
Anthropic explained visible pricing confusion as a small test, but developers heard a warning to keep an exit ramp. Pricing stability is rollout infrastructure for coding tools.
Anthropic's brief pricing confusion around Claude Code was quickly resolved, but developers reacted by doing what they always do: looking for the exit.
The Model Context Protocol won’t magically fix unreliable agents, but it might replace the nightmare of bespoke integrations with a shared standard for connecting AI to your data.
Anthropic's push into universities includes a 'Learning mode' designed to guide students rather than just handing them the answers. It’s a noble idea that is about to collide with actual college students.
Claude can now search the web and cite its sources, bringing much-needed freshness to its answers. But a footnote is just a handle for verification, not a guarantee of absolute truth.
Anthropic's Model Context Protocol is technical plumbing that gives AI assistants structured access to your company's data, proving that safely opening the front door is better than throwing agents into the corporate swamp.
MCP gives AI tools a standard way to connect to data and systems, replacing bespoke integration nightmares with a unified, boring architecture.
Anthropic’s Claude Code drops the agent directly into the terminal, proving that the real test of AI is safely navigating a messy codebase.
Anthropic’s hybrid reasoning model lets users choose whether they want a fast answer or a deep thought. It's the right product move in a market obsessed with confusing model menus.