H-FARM EVENTS ON AI

ClawCamp 2026 — The Personal AI Agents Bootcamp

ClawCamp 2026 is a week-long residential bootcamp where you go from "never touched an AI agent" to running your own Personal AI agent. It's an H-FARM College Summer Camp built with H-FARM AI and the Cisco Networking Academy, hosted on the H-FARM Campus in Roncade (Venice).

Save the date: 5–12 July 2026. Residential, in English, for curious minds 16–25+ — no advanced coding required. Just 15 seats per cohort, selected on a rolling basis.

• Five hands-on build days on OpenClaw, the open-source framework for Personal AI Agents, plus a daily ClawTalk, a day in Venice with the cohort, and a final pitch on stage.

• Every admitted student leaves with a working agent, a certificate, and a lifetime invite to the global ClawCon community.

🤖 Anthropic reveals 80% of its code is AI-written 🤖
Anthropic confronts the accelerating speed of AI systems writing their own code.

Anthropic published a major report titled "When AI Builds Itself," detailing the reality of recursive self-improvement (RSI) in frontier AI systems. The company disclosed that over 80% of its merged production code is now authored by Claude, with engineers pushing 8x more code per day in Q2 2026 compared to 2024. This matters because AI development is outpacing human oversight capacity. Anthropic called for coordinated industry action, stating it would slow or pause frontier training if peer labs committed to the same. OpenAI echoed similar concerns in its own "Democratic Governance of Frontier AI" blueprint. The report marks one of the most candid public acknowledgements of RSI risks by a leading lab, setting the stage for urgent policy discussions.

⚡ Nvidia ships open 550B Nemotron 3 Ultra ⚡
Nvidia's open 550B reasoning model rolls out at 5x the speed of competitors.

Nvidia launched Nemotron 3 Ultra, a fully open 550-billion-parameter reasoning model using a mixture-of-experts architecture with 55B active parameters. The model runs 5x faster and up to 30% cheaper than comparable alternatives, purpose-built for long-running agentic workloads. On the Artificial Analysis Intelligence Index, it scores 48, far ahead of the next best open model Gemma 4 31B at 39. Early testing shows over 300 tokens per second on a pre-release Deep Infra endpoint, with NVFP4 quantization planned for even higher throughput. This pricing and speed edge could reshape open-model adoption. The release reinforces Nvidia's strategy of pairing open-weight models with its hardware ecosystem.

🧠 ChatGPT Dreaming doubles recall for Plus users 🧠
OpenAI's new memory integration system doubles ChatGPT's factual recall and preference accuracy.

OpenAI launched "Dreaming," a background memory synthesis system for ChatGPT that converts past conversations into a continuously updated, category-sorted user profile covering topics like travel, hobbies, and work preferences. Internal testing showed factual recall jumping from 41.5% to 82.8%, while preference-following climbed from 31.4% to 71.3%. The system processes conversations asynchronously, building richer context over longer interaction horizons rather than relying on real-time extraction. This capability jump fundamentally changes how ChatGPT handles personalization. The rollout has begun for Plus and Pro subscribers in the US, with broader global availability planned for later.

INTERESTING TO KNOW

🔮 Claude Oceanus leaks via red-team channels 🔮

Details about Anthropic's upcoming Claude Oceanus model surfaced after information leaked through red-team access channels, signaling a major new rollout from the Claude family. The leak appeared alongside coverage of OpenAI's Dreaming memory system and Anthropic's recursive self-improvement report, underscoring how rapidly the competitive pressure is intensifying across model capability, user experience, and safety governance simultaneously. A formal release timeline has not been confirmed.

🎨 Reve 2.0 hits #2 with 4K layout editing 🎨

Reve 2.0 debuted as a potential replacement for prompt-only image generation, featuring native 4K output and a layout-based editing paradigm that treats image creation like code — editing by rewriting the layout structure rather than the text prompt. The model has climbed to the #2 overall position on the Text-to-Image leaderboard, trailing only OpenAI's GPT-image-2. It joins a broader wave of layout-first models, including Ideogram 4.0, challenging traditional text-to-image approaches.