204 summarised stories about Claude, each linking back to the original source. Browse all topics →
Product Hunt 1 week ago 6
Tonefold launched as a free, open-source AI music composer for macOS and Windows. It generates editable piano-roll parts including chords, melody, bass, and drums from a song description to Claude. You can then export MIDI, WAV, and stems.
The New Stack 1 week ago 48 ● 6 sources
Anthropic expanded its Claude Cyber Verification Program by adding three tiered access levels and moving Project Glasswing into the least restricted tier. Under the Defense Access tier, Anthropic’s tests found Claude Opus 5.5 blocked 46 of 50 offensive-security benchmark trials, leaving only 4 to succeed. As a result, defenders may get broader access overall, but many will still face tighter safeguards unless they qualify for the less restricted tiers and reviews.
MarkTechPost 1 week ago 31 ● 16 sources
Anthropic released Claude Haiku 5.5, a small Claude model aimed at high-volume tasks and available via a hosted API. It offers a 1M token context window and input pricing of $0.10 per 1M tokens (with $0.50 per 1M output tokens). Compared with Haiku 4.5, it cuts prompt costs by 90% for prompts up to 100K tokens and adds an adjustable “effort” setting (with adaptive thinking on by default).
zohaib.cc 1 week ago 42
Claude Code predicts a likely follow-up and displays it in the prompt box for the user to accept or edit. The article says those interactions could supply preference data, framed as speculation rather than a confirmed Anthropic practice. As a result, it positions the feature as a potential source of user preferences while leaving its use unverified.
Product Hunt 1 week ago 15 ● 16 sources
Anthropic launched Claude Haiku 5.5, its fastest and most capable small model for high-volume, cost-sensitive tasks. The release is effective today. It shifts Anthropic’s small-model lineup toward faster deployment for summarization, classification, coding subagents, customer support, and browser use, but provides no specific benchmarks in the text.
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16 October 2026
The biggest thread today is that “agentic AI” is getting practical through layers that control what models know, how they reason, and what they’re allowed to do with that knowledge. Raymond James Financial is using knowledge graphs as a reasoning layer for agentic systems built over trusted financial data, with evaluations against “golden sources” and a claim of 100% accuracy before launch—an explicit bid to move advisors from manual screen-hunting to supervising AI agents. Uvi’s pitch is similar in spirit but aimed at cost: it says semantic, permissioned company knowledge graphs can cut per-answer tool/context costs from roughly $0.75–$1.41 (sometimes over $2.00) down to $0.10–$0.16 by avoiding repeated “amnesia”-style re-collection from Slack, Jira, and GitHub.
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