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AtAndDev 
posted an update 2 days ago
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4713
@Banaxi-Tech stop hiding my comments. AND STOP STEALING PAPERS AND SPREADING MISINFORMATION.
your BGA blog is a copy of NSA (deepseek, 2025) branded under your name. literally the same top16 selected blocks, 512 local window, router over block summaries, all you did was change block size from 64 to 128.
you didnt cite NSA once but you put a “please cite BGA” bibtex at the bottom.
i commented under your post and said that there is no way that you can support claims like: “The Accuracy Should BE WAy better than DSA but untested yet.” you didnt run a single experiment. and the 256x isnt from BGA, its just n/2k with k=2048 so the exact same k DSA uses. if opus wrote this for you, at least read it before posting.
i commented again after you hid my comment despite it having constructive and correct feedback and you hid that too. and again.
you can hide the truth and just try to get hf post likes..... but is it really the thing that needs to be done? do you really want to take papers and make them yours while barely even changing the params?

admitting your mistakes and doing something about them needs humbleness, intelligence, humanness.
i encourage you to admit your mistakes and try to do better next time (at least read what blog your ai wrote or do proper experiments to back your stuff up).
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SeaWolf-AI 
posted an update 1 day ago
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3540
⚛️ The Open Quantum Challenge is live. Both seasons open today.

Quantum computers are expensive, queued, and reachable by only a few. So we removed the barrier. With a single GPU and a public harness, anyone can contribute to core quantum-computing problems with no quantum hardware at all. That is the point of this challenge: to move quantum research from a handful of labs to everyone.

• Season 1, Quantum simulation: reproduce a target quantum system on a GPU.
• Season 2, QEC decoder: correct errors on coded quantum states.

Answers are held privately and every submission is auto-scored against a frozen ground truth, so the ranking is reproducible and hardware-independent.

🏆 Prize: 2,000 USD total (1,000 USD per season, 🥇600 / 🥈300 / 🥉100)

Getting started takes one step: copy the participation guide from the Space and paste it into Codex or Claude Code, then submit against the harness.

📄 Read the article: https://huggingface.co/blog/FINAL-Bench/the-open-quantum-challenge-quantum-simulation-and
👉 Challenge: FINAL-Bench/open-quantum-challenge
mithulaartigala 
posted an update 2 days ago
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4121
I am LOVING HuggingFace Pro <3
  • 7 replies
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DedeProGames 
posted an update 1 day ago
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3134
🚀 Introducing OpenWork — Deploy agents everywhere.

OpenWork is an open-source AI agent workspace built on top of OpenCode.

Deploy autonomous agents, schedule tasks, manage projects, and let AI work for you — directly from your terminal.

Features:

- 🤖 Deploy autonomous AI agents
- 📅 Schedule recurring tasks
- 🧠 Persistent memory and workspaces
- 🔌 MCP integrations and custom tools
- 📥 Agent Inbox and task management
-⚡ Support for local and cloud AI models
- 🖥️ Interactive terminal interface (TUI)

Your agents. Your models. Your workflow.

Fully open-source. MIT licensed.

⭐ GitHub: https://github.com/dedeprogames-official/openwork

#OpenSource #AI #AIAgents #OpenWork #OpenCode

DedeProGames 
posted an update about 8 hours ago
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596
I’ve just left
BananaMind
to focus my work on
SupraLabs
.
Following some internal pressure from SupraLabs and issues @Banaxi-Tech encountered with certain architectures, I decided it was time to change direction.
I want to thank
BananaMind
for inviting me to join their organization and for helping shape my knowledge and passion regarding SLMs.
Now, it’s just me and
SupraLabs
.
Banaxi-Tech 
posted an update 1 day ago
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2044
Hi everyone, we're back!

And we're releasing something major again now, if you have seen Grok Bot, its very powerful, but there isn't really a local alternative yet.

Today we're releasing Minds, they're personal AI bots that live on your computer.
They can run anywhere, on your phone, on your mac, on windows, and even on linux.

They support OpenAI Oauth as the main integration because most people already have a ChatGPT sub.

But locally, It supports ANY openai compatible api which allows you to setup ollama and llama.cpp and everything else.

It uses Jev for command approval on OpenRouter and Muse Spark Transcribe for transcription.


Its fully Open Source!

Check it out: https://github.com/BananaMind/Minds
  • 9 replies
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doofz 
posted an update 3 days ago
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3580
THX-01 now has a free API. No key, no sign-up.
Yesterday we open-sourced THX-01, our 322M decision model. Today we're opening the hosted API to everyone for free.

Send a message or document with typed questions and get every answer in one forward pass, about 10 ms, with a calibrated probability for each option:

curl https://api.hal-x.ai/v1/systemone \
-H "Content-Type: application/json" \
-d '{"state": "My card was charged twice for one order", "questions": {"team": {"type": "choice", "question": "Which team handles this?", "criteria": {"billing": "billing", "tech": "technical", "sales": "sales"}}}}'

What it answers: choice, yes/no, score, exact number from the text (or null if it isn't there), verbatim excerpt, and "cite": true for supporting passages.

- Free tier: 200 decisions per minute per IP
- On our 2,843-ticket benchmark in four languages: 98.4% vs 97.4% for TypeSafe Jev, at about 10 ms instead of 331 ms
- 18 trained languages
- Weights are Apache 2.0: pip install thx01

Model: doofz/THX-01
Demo: doofz/THX-01-demo
Banaxi-Tech 
posted an update 3 days ago
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3186
We have released BGA!
And wow, It provides 256x (and 512x at the end of 1M) yes 256x LESS attention compute at 1M context window.
That means you can train a 1M context window at the compute of a ~4K context window.

Check IT OUT: BananaMind/blog

The Accuracy Should BE WAy better than DSA but untested yet.


And, now some updates on BananaMind 3:

BananaMind 3 Will start training Soon!
Sizes: 10M, 25M, 50M, 100M, 150M

And the context windows ARE INSANE: 10M, 16K context, 25M 16k context, 50M 32K context, 100M and 150M, 64K context!!!!

  • 13 replies
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Banaxi-Tech 
posted an update 2 days ago
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4621
Well GPT X3 takes the lead. As of right now.




We are now announcing BananaMind 3 🍌! (not ai for those emoji guys)

All models will use BGA (which is almost just NSA) and our BM3X architecture.
Its sizes will be:
BananaMind 3 Flash Lite, 3M parameters at a context of 8K context.
BananaMind 3 Lite, 10M parameters with 16K context.
BananaMind 3 Flash, 25M Parameters with 16K context.
BananaMind 3 Pro, 50M parameters with 24K context.
BananaMind 3 Ultra, 100M parameters with 32K context.
And lastly, BananaMind 3 Max with 150M parameters and 64K CONTEXT.

I can assure you BananaMind 3 Max WILL beat GPT X3 or match it, we won't release it otherwise. We hope for a 40+ INTELLIGENCE INDEX!

BananaMind 3 may also be partnered with dot labs.

We will cancel BananaMind 2.1 and BananaMind 2 Ultra.

As of the BETU SLM Leaderboard we may need to release it after October 11, im very busy right now (even though we said We will release BETU leaderboard before Oct 11 😟)


  • 11 replies
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SeaWolf-AI 
posted an update 3 days ago
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4088
🏆 Darwin-27B-ZTC-v2 just took #1 on the System One Mosaic Benchmark (S1MB).

S1MB compares 102 models across 137 specialized benchmarks, in three task types: Noul (assess a condition), Choice (select an option), Score (rate on a scale). Ranking is by overall Borda score.

📊 Top of the board
🥇 Darwin ZTC v2 (FINAL-Bench) 89.58
🥈 OpenJev-27B 87.50
🥉 AutoJev-27B 87.07
4️⃣ Eikos 27B 85.43
5️⃣ Jev 1.13 85.05

🔎 Ranks 2 to 5 are all the JEV family (TypeSafe AI's System One model, from ex-OpenAI researchers). S1MB exists to compare these System One judges, so leading it is the headline.

⚙️ Why a zero-token judge wins here
🔹 It does not generate. It reads the input and typed questions and returns a calibrated distribution in a single forward pass.
🔹 Zero generated tokens, no decoding loop, so latency and cost stay low.
🔹 Holds up out of distribution too: General Noul 96.00, General Choice 99.34.

It is also #1 on the typed-decisions leaderboard (0.743, zero-shot). Same message from both: a deterministic, calibrated judge at one forward pass per call.

🔗 Model: FINAL-Bench/Darwin-27B-ZTC-v2
🔗 Leaderboard: hotchpotch/S1MB-leaderboard

Standings move as new models are added. Numbers reflect the board at the time of writing. 🙌