Building an open source frontier model requires an approach similar to Linux or TCP/IP.
Those won because developers trust the infrastructure - no one owns them or has asymmetrical rights.
The equivalent here is a *true* OS model - weights, data, code - trained verifiably.
"The next challenge isn't AI itself, it's proving AI can be trusted."
@benfielding at REDeFiNETOMORROW2026
"The Compute Layer for On-Chain Intelligence"
This week, @benfielding will be taking part in REDeFiNE TOMORROW 2026 on June 4-5.
Join him for a fireside chat on "The Compute Layer for On-Chain Intelligence", June 4.
Register below and watch live on @SCB10X_OFFICIAL YouTube.
https://t.co/ej7SHX9OBD
@SakanaAILabs@usr_mnemonic@shikhras Diversity in Evolutionary Inference will be presented at the ICML SCALE conference in Seoul this summer
https://t.co/xbtz4cApa9
your laptop can contribute to swarm-based AI problem solving, without slowing the whole system down
in our most recent work, we show that many models beat a single model, regardless of the power or speed of the models
we eval on core war, following @SakanaAILabs DRQ work
New research from @oguzer90 has been published:
F-TIS: Heterogeneous GRPO Without Homogeneous Assumptions
"Participants no longer need to run identical models or train the same parameter subsets to contribute useful RL experience."
Read via the links below.
New research from @oguzer90 has been published:
F-TIS: Heterogeneous GRPO Without Homogeneous Assumptions
"Participants no longer need to run identical models or train the same parameter subsets to contribute useful RL experience."
Read via the links below.