Claude Opus 5 High
Model ● Covered in 1 story + Follow
This profile is built automatically from TLDRocket coverage.
Specifications
No specifications recorded yet.
Model ● Covered in 1 story + Follow
This profile is built automatically from TLDRocket coverage.
No specifications recorded yet.
The daily briefing
TLDRocket reads all relevant sources, removes duplicate coverage, and summarises the day in two minutes. Follow companies and topics for alerts, or get the briefing in Slack. Free, no spam, unsubscribe anytime.
AI is getting practical fast, and today’s clearest signal comes from Cantina Security and Yeta Labs’ apex-flash-1. The open-weights vulnerability-research model is built for security work, not demos, and it landed 40 out of 60 held-out bug tasks for a 66.7% pass@1. The cost arithmetic is the part that executives will notice: Cantina estimates about $2.38 per run, versus $74.68 for Claude Opus 5 High on the same set. It’s also locally deployable under the MIT license—though with real hardware gravity, since BF16 training/inference needs roughly 640 GB of GPU memory. In other words, you can bring the brain inside your firewall, but you still have to pay for the brawn.
Read the full briefing →