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Claude Opus 5.5 Is Incredible! Everything You Need to Know | AI News

This is a weekly AI-news roundup by Leonard Schmedding, filmed in San Francisco, covering recent developments for practical use. The main item is Claude Opus 5.5, the first model of Anthropic's new Claude 5.5 family (with Sonnet and Haiku 5.5 expected soon). It reportedly performs at the level of Claude Fable 5.1 while costing about 40% less than Opus 5, outperforming it on coding benchmarks such as Terminal Bench 4.0 and Cursor Bench and on knowledge-work tasks like GPQA and SWE-bench 2.0, though OpenAI's GPT-6 Astra retains an edge in automated business workflows and agentic research. Within hours OpenAI responded with GPT-6 Sol and Luna; GPT-6 Sol leads Anvil Labs' Vending Bench for autonomously running a vending-machine business. The video features a live report on 'Anthropic Market,' a boutique in San Francisco run entirely by Claude Opus 5.5, which manages products, prices, hiring via Slack, and social-media accounts (Twitter/Instagram), with books such as Ray Kurzweil's 'The Singularity Is Near' for sale. Other items: Claude detecting a molecular machine that Lord Dario Amodei sees as a potential new gene-editing mechanism and comparing biology's current leap to mathematics'; agent-based 3D/video generation using FreeGS and Blender; and Meta's Mus Charm keychain agent plus VR glasses competing with Apple Vision Pro. The creator also promotes his second channel, an Agentic Marketing workshop, Kiberatung AI-integration services, and a KI-continuing-education platform.

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Two Minute Papers reports that DeepSeek has released a new AI system, DeepSeek v4.1 Flash 1017, roughly five weeks after its prior version. In the creator's independent tests, it builds better working software and is much better at using the terminal to operate a computer. It is available through the API for a bit more than a dollar per million output tokens, which the video calls about 15 times cheaper than Claude Opus 5.5, though the creator cautions that cost per task is somewhat higher because DeepSeek can take two to three times more tokens than Claude Opus for the same task. The model's weights can be downloaded and owned for free, but running it requires H100-class hardware the creator cannot run at home. Because the architecture did not change, the creator hypothesizes the capability jump comes from 'learning from self feedback,' in which the AI critiques and improves its own work.