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97.7 on Online Mine 2Web 83.2 on internal 68.6 on WebTail Bench Best across board and at 2.37 dollars per million token 90% Than GPT5.5 ! how they have trained this. They are using an undisclosed base model and using SFT to accelerate time to market, combined with asynchronous reinforcement learning, especially leveraging the GRPO algorithm. If you don't know, this is similar to how DeepMind historically has trained their AlphaGo Even though they are talking about 1-3 sec latency the ...

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Hi HN, I've been building OptiQra for quite a while, and I finally finished the desktop version. OptiQra is an open-source website intelligence and optimization platform. It can crawl and analyze websites or local projects, identify SEO/AEO/GEO, accessibility, performance and technical issues, explain them with AI, and automatically fix them. The desktop version is where the project gets particularly interesting. It can run locally, work with local projects, operate offline for analysis that doe...

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I’m building Leo / PSCLS — an experimental system that learns relationships between sequences and updates its internal representations from experience. Here’s how its actual output changed as it saw more stories. 1K stories “Once upon a time to the store and said that there was a she bor and he lorander thing they were…” Basically nonsense. 3K stories “Once upon a time to the store and said that there was a she parted to see had a bided her tod and be bound aster…” Still broken, bu...

I've been thinking about AI dependency, because many ppl have told me that relying on AI is already making them forget how to do parts of their jobs. In some sense this is nothing new. Technology has always replaced skills that used to be essential. We stopped doing calculations by hand because calculators exist, and we stopped memorizing information because computers can store it for us. AI may be the same process taken to its extreme, because instead of replacing one skill, it can replace ...

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Been trying out a few smart glasses recently and there seem to be two clear directions: camera glasses for capturing the world, and quieter AI glasses for just getting things done. Dymesty and Echo Frames are firmly in the second camp, Ray-Ban Meta is very much in the first. If seamless AI assistance without pulling out your phone is the goal, audio-only or camera-free options make a lot of sense. Dymesty's 35g titanium frames are impressively light and drop the camera entirely, feeling more l...

Curious what people are seeing with domain-grounded coding agents vs. general-purpose ones (Copilot, Claude Code, etc.) for data/ML work specifically. The pitch from the vertical tools (Databricks' Genie Code is the one I've used) is that grounding in your actual schema/lineage/governance layer beats a general agent guessing from context alone. Databricks claims a jump from ~32% to ~77% success rate on real data science tasks after adding that grounding. Haven't independently verified that num...

I've been building an experimental reasoning system at Orivael and testing it against ARC-AGI-3. One of the runs just scored 100% on ft09 . The unusual part: There is no LLM in the loop. Not for perception. Not for planning. Not for choosing an action. The agent reads the raw grid, decides, and acts directly. Results so far: • ft09: 6/6 levels, 80 actions, 100.0% https://arcprize.org/scorecards/9a212601-a12e-4da0-a527-aa69e86bd2b8 • tr87: 4/6 levels, 247 actions, 25.99% upd...