AI Agents are weird
They seem so cool because you can use tools, call APIs, and coordinate with other agents.
But after messing something up 100 times, they'll continue to do the same thing the 101st time.
We think Agents need to improve.
That's why Mubit is here ;)
Frontier AI handles 200k token context windows. Within that limit, the best strategy is still the simplest: raw conversation history.
But the winner only captured 25% of available learning gain.
The context is there. The ability to learn from it is not.
https://t.co/9Rj1D4s96v
For years, LLMs have typed one word at a time.
DiffusionGemma stops typing and starts sculpting. It generates 256-token block, then iteratively fixes its own mistakes.
Bidirectional attention. Self-correction mid-output. 4x faster on local GPUs.
Multitasking is all you need?
Anthropic really said "here's the smartest model ever, $10/$50 per mil, also it might tap out and call Opus for backup"
— OpenClaw after 48h of research on Fable 5