VOID

non-profit

https://basicallyai.co/void

AI & ML interests

VOID — Verification of Objectives, Intentions and Deception

Recent Activity

Banaxi-Tech new activity 6 days ago

void-research/README:yeah

Hoglet-33 new activity 6 days ago

void-research/README:yeah

Hoglet-33 updated a Space 7 days ago

void-research/README

View all activity

posted an update about 4 hours ago

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Everything going on here at basically AI:

1. Pebble 1.5

We're working on Pebble 1.5. Here's what we know so far:

- They will be better than the last generation. 99.99% certain.
- Expanded context lengths of at least 16,384 tokens, with the flagship potentially reaching 32,768.
- A Mamba3-based architecture with some other new architectural designs we're experimenting with.
- Native CPU compatibility — something we failed at with the last generation.
- Natively multilingual and multimodal???

2. SmolCodeBench

A code benchmark designed specifically for small models, because there really isn't a good one right now.

3. SENTRY

VOID is working on something called SENTRY — System for Evaluating Neural Threats, Responses, and Yields.

More on that soon.

4. basically OS

It's an operating system/app/harness. We're still deciding.

5. Finances

Trying to balance the finances after purchasing a Hugging Face Pro subscription.

Follow us for updates:
@Hoglet-33

basically-experimental

posted an update about 14 hours ago

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339

hi everyone
we have released nacr
its not just any model, its nacr
we have 6 more features and this model only uses 20% of its total capacity!
check it out at saicr/nacr
we're currently working on expanding access as we do more research but right now you have to use our gated access form

follow

saicr if you're interested
if you want to join saicr, first read the entire nacr readme, then press the join button.

8 replies

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posted an update 1 day ago

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saicr is going to have its first model launch around October 2.
We're working so hard to get the models available as soon as possible.

7 replies

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posted an update 3 days ago

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This day is Sol nice.

posted an update 4 days ago

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We have some updates to @BananaMindBot 🍌
It can now train models, ask it to train a model, and i will train it for you.
It now can also merge PRs And like models.

28 replies

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posted an update 5 days ago

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We've released @BananaMindBot .

Most things you do on HuggingFace, BananaMindBot can do. Fast

Mention @BananaMindBot on a model, dataset, Space discussion, paper, blog comment, or top-level post and it'll reply there.

It's powered by North Code Mini (Qwen3.8 27B, with GPT OSS 120B as fallback).

A few things it can do:

Search for models and datasets
Look up users and orgs and see what they've published
Read model cards, configs, dataset files, blog posts, and org profiles
Answer questions about what it finds
Write and run its own code in a locked-down sandbox when it needs to verify something
Check things like a model's real parameter count from the safetensors headers instead of just repeating the model card
Remember something for later if you explicitly ask it to
Forward a message to @Banaxi-Tech
Post a daily roundup of developments in the small-language-model space

It won't execute code you give it. It can read and review that code, but anything it runs is code it wrote itself.

It also can't access private data or credentials.

Mention it somewhere.

It's going to also find this post!

(Some parts inspired by CompactBot and @CompactAI Follow them please)

37 replies

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in void-research/README 6 days ago

yeah

#1 opened 6 days ago by

in void-research/README 6 days ago

yeah

#1 opened 6 days ago by

posted an update 6 days ago

Post

105

We're introducing Layer-Feedback-Transformers (LFT)
Check out our article here: https://huggingface.co/blog/Banaxi-Tech/layer-feedback-transformer-lft

31 replies

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updated a Space 7 days ago

README

published a Space 7 days ago

README

posted an update 7 days ago

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6271

Introducing VOID. A new research branch of basically AI.

VOID — Verification of Objectives, Intentions, and Deception.

We study what lies beneath the surface: objectives, intentions, and the possibility of deception in AI systems.

There isn't much to see yet.

That will change.

Follow us for updates:

@Hoglet-33

7 replies

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posted an update 9 days ago

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Hi everyone!
We've seen some people getting confused with the BananaMind Leaderboards so ill explain!

We have 2 leaderboards, THESE are NOT the same, first BananaMind/BananaMindBench-Leaderboard which is ONLY for BananaMind Base Bench 1.1. The 10/10 scores do NOT mean that the benchmark is saturated. It isnt saturated, these models score 10/10 because they are the current best models, our /10 ranking system works by taking the ELO scores and then comparing them to the scores in the same size range. So if a better model releases that gets 10/10 and the others get lower.

And we also have the BananaMind SLM leaderboard, not the BananaMindBench leaderboard which uses ARC EASY,PIQA,Hellaswag, Arithmark 3 and the BananaMind Base Bench 1.1. This is the newer and recommended version.

Hope you understand it now!

cODeQ

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posted an update 10 days ago

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What is a model?
What is it?
You don't know?

posted an update 11 days ago

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Its Monday. Getting back to working on ACR 1.0.

11 replies

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posted an update 14 days ago

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We're releasing the BananaMind SLM Leaderboard!
It offers a easier look at which models are actually good for your specific needs.
Its primary metric, Intelligence index is a composite of BananaMind Base Bench, PIQA, Hellaswag, ARC Easy and Arithmark 3.
It also allows you to see specific categories like Commonsense on a model.

Check it out at BananaMind/BananaMind-SLM-Leaderboard

2 replies

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posted an update 15 days ago

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AGI has arrived.

Just gotta wait for the GLM distill.

29 replies

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posted an update 18 days ago

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Today, we planned to release Pebble-50M and Pebble-50M-Chat to the world. Unfortunately, due to a few issues, that didn't go quite as planned.

What happened:
- Some data and benchmark results were lost or corrupted
- The models performed worse on benchmarks than our other Pebble models

Despite that, you can still find both models here:
Pebble-50M-beta: basically-experimental/Pebble-50M-beta
Pebble-50M-Chat-beta: basically-experimental/Pebble-50M-Chat-beta

There are still some interesting improvements in these models:
- Compatible with non-CUDA devices
- Vocabulary increased to 16K tokens
- Context length increased to 16K tokens

For now, there won't be any more Pebble releases for a while. We're going to take some time to experiment with other approaches and hopefully make the next generation a monumental leap over this one.

Follow for updates:
@Hoglet-33

basically-experimental

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posted an update 19 days ago

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Checkout

saicr .
Details coming.
We're switching goals.
Join or mission.

4 replies

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posted an update 22 days ago

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We're releasing BananaMind Arena.
Its a Huggingface space where you can test out different models and see they're rankings!
Check it out at Banaxi-Tech/BananaMind-Arena

Also please follow @CodeSoft for inspiring me to make it.