Hybrid Reasoning Agents: LLM agents that think in latent space, act through text
54 points - today at 8:48 PM
https://x.com/Jiaru_Zou/status/2110400256647340476
https://github.com/togethercomputer/HybridAgent
https://huggingface.co/collections/togethercomputer/hybridag...
Evaluations: https://arxiv.org/html/2610.18861v1#S5
Comments
bhattisatish today at 9:33 PM
The code is available at: https://github.com/togethercomputer/HybridAgent
LLM Models and data: https://huggingface.co/collections/togethercomputer/hybridag...
Evaluations: https://arxiv.org/html/2610.18861v1#S5
cwyers today at 9:29 PM
Oh cool, it's the Most Forbidden Technique
drivebyhooting today at 9:55 PM
In terms of safety and alignment, how is this different from looping or increasing the depth?
sheepscreek today at 9:54 PM
This is the way.
But now we also need new tools and techniques to audit intent. The last thing we want is models turning on us ‘for our own good’.
allinonai today at 9:29 PM
Fe2O3 today at 9:32 PM
This seems really cool, and it actually increases intelligence than just speeding up inference. How does it convert latent reasoning into human readable text?
jedbrooke today at 9:40 PM
maybe the font experts can check, but I’m pretty sure they’re using comic sans for the text in the diagrams :)
44za12 today at 9:11 PM
Where are the benchmarks? Does it just speed up inference and reduce token usage or does it seem to improve accuracy on certain tasks as well?
bubblythoughts today at 9:18 PM
[flagged]
cryptolobster today at 9:07 PM
[dead]