Hugging Face's logo
perk bevis's picture

perk bevis

perkbevis
·

AI & ML interests

None yet

Recent Activity

reacted to Banaxi-Tech's post with 🔥 2 days ago
We're announcing our BananaMind 2.1 model series! The models will include: - BananaMind 2.1 Nano: 10M parameters with 60B tokens. - BananaMind 2.1 Lite: 25M parameters with 40B tokens. - BananaMind 2.1 Flash: 50M parameters with 55B tokens. - BananaMind 2.1 Pro: 135M-145M parameters (still deciding) with 100B tokens. These model will use a multi tower architecture (like https://huggingface.co/BananaMind/BananaMind-2.1-Unified) with some more architectural changes. BananaMind 2.1 Pro will probrably use 2 no output towers, instead of one! We're currently training some experimental models based on this architecture to see its scaling! Follow us: https://huggingface.co/BananaMind @Banaxi-Tech @vovaRL @DedeProGames https://huggingface.co/bananamind-research-community
reacted to onekq's post with 🤗 22 days ago
There has been a leaked memo (now struck down) from the founder of DeepSeek. I'm not here to circulate it, but comment on the minimum-effort evolutionary path he proposed. LLM->CoT->Agent->Self-improvement->Singularity->Physical This makes sense to me: even at the agent stage I learn world models much faster than when I learned LLM at the LLM stage. But this means humans are still needed beyond the digital singularity, until robots can close their own loop: eval, manufacturing, self improvement, i.e. physical singularity.
View all activity

Organizations

None yet