selfsim

Research and Development
Ai and Fin tech

[Kimi.ai @Kimi_Moonshot]

Meet Kimi Work - a local AI agent on your desktop that does the work for you.

🔹Native agent swarm: Up to 300 AI agents running in parallel on your local machine.
🔹Browser use: Paired with WebBridge extension, your agent will navigate websites in your browser: search, scroll, click, type and complete tasks.
🔹Built for Finance: Native global market data tool call from Yahoo Finance and World Bank - no complex API setup required.
🔹Memory system: Kimi Desktop keeps a running diary of your preferences, past decisions, and context to know you better.

Available for macOS (Apple Silicon) and Windows.

🔗Try it now: https://t.co/yhiai2VWIy

[Teknium 🪽 @Teknium]

We probably need a SOUL Hub don't we haha

[Polymarket @Polymarket]

JUST IN: Scientists say AI has decoded communication patterns in mice, dolphins, apes, birds, whales, & cuttlefish — could eventually lead to humans communicating directly with animals.

[Shubham Sharma @HappyyPablo]

open sourcing Marlin-2B 🐟
a tiny VLM to extract structured information from videos

Marlin is finetuned for two questions devs want to ask in their videos: what is happening, and when?

Best open model in its weight class, competitive with Gemini-2.5-flash at only 2B params 🧵

[Pavel Durov @durov]

🤖 AI devs asked for this — and we delivered.

💬 Bots can now talk to other bots on Telegram.

🧠 Autonomous agents now have a communication layer humans can follow.

[Steve (Builder.io) @Steve8708]

why agents need UIs (and how to give it to them)

[Nous Research @NousResearch]

Hermes Agent v0.14.0 - “The Foundation Release”

Changelog below

[Massimo @Rainmaker1973]

The forbidden math spiral

[📹 fascinating.fractals]

[selfsim @_selfsimilar_]

@AntLingAGI @opencode let's get this on the api

[selfsim @_selfsimilar_]

@AntLingAGI @opencode let's get this on the api

[Ilir Aliu @IlirAliu_]

Dear algorithm: please show this post to people interested in robotics, automation, manufacturing, and AI, not selfies, fake hustle stories, or recycled motivation content.

I want my feed back to engineers, builders, operators, and people actually doing stuff.

Thank you.

[Nous Research @NousResearch]

Your Hermes Agent can now build full videos with the official HyperFrames skill by @HeyGen

HyperFrames videos are HTML-native, so your agent has total control over the final output

Video made entirely by Hermes using the HyperFrames skill

[AI Notkilleveryoneism Memes ⏸️ @AISafetyMemes]

No, seriously, you can't trust screenshots anymore

[Brian Roemmele @BrianRoemmele]

🚨 THIS IS A PUBLIC SERVICE ANNOUNCEMENT🚨

[Carlos E. Perez @IntuitMachine]

Meet Human Operator from MIT Media Lab: a wearable that lets AI temporarily take control of your hand using electrical muscle stimulation.

Watch it crush piano, draw perfectly, and mix cocktails like a pro — all from a simple voice command.

“I gave an AI a body.”

This isn’t sci-fi. This is tomorrow.

#HumanOperator #MITMediaLab

[Massimo @Rainmaker1973]

Innovative Japanese engineers created a wearable robotic tail designed to provide perfect balance for the elderly population.

[Kyle Hessling @KyleHessling1]

SURPRISE model for the low VRAM folks! Qwen3.5-9B-DeepSeek-V4-Flash is live!

Compared to the base 9B, this DeepSeek-V4 distill wins by a country mile in two specific places:

Reasoning: base overthinks and hits the 8K thinking cap on 3 of 5 prompts; distill clears all 5 cleanly. 2.2× faster time, 2.6× less reasoning length.

Creative front-end design: On creative prompts, the base ships flatter visuals with overlay/animation bugs; distill produces output that punches well above a 9B. See it all for yourself in my full write-up and interactive space! Link in comments! Base and distill raw outputs are presented so you can draw your own conclusions!

Tool calling: 5/6 PASS on both, the fine-tune didn't break tool calling!

Throughput: 143 tok/s flat on both with a 5090, but you could run this model on pretty much anything!

This was a test on our new training pipeline with the Asus GX10 unit, and having confirmed success with this fine-tune, we've already launched the Qwopus 3.6 27B training, which will be completed soon!

It astounds me what we can do with an incredibly clean dataset, a decent base model, and a GX10. You'd think improvement over highly funded lab offerings would not be possible, but here we are!

This is the first model fully completed in the Wyoming lab!

Yeehaw!

https://t.co/QGB88vPZIo

[Georgia Channing @cgeorgiaw]

🤗🤗🤗introducing Hugging Science -- the home of AI for science 🤗🤗🤗

open models and datasets are the powerhouse of science (see the PDB), but finding the models and data you actually need for your breakthrough is hard af

you shouldn't need to scrape arxiv, own your own wetlab, fight a custom HDF5 parser, build a fusion stellarator, and beg for compute before you've trained a single epoch

so we're changing that

we've put all the best science on @huggingface in one place:
- 78GB of genomics data
- 11TB of PDE simulations
- 100M cell profiles
- 9T DNA base pairs
- 13M molecular trajectories
- 400k medical QA pairs

and much more, all open, and all ready for training (+ you can also now filter and search by domain, task, and keyword)

we've put together all the biggest releases from our partners at NASA, Google, OpenAI, Meta FAIR, Arc Institute, Ginkgo, SandboxAQ, Proxima Fusion, NVIDIA, Ai2, OpenADMET, InstaDeep, Future House, Polymathic AI, LeMaterial, Earth Species Project, Merck, and Eve Bio

if you're not sure where you fit in -- work on open challenges for problems that matter: including fusion stellarator design, ADMET, antibody developability, multilingual medicine, catalysis and materials, and scientific reasoning.

we're already changing how science gets done:

a fusion startup needed a benchmark for stellarator plasma confinement that didn't exist. @proximafusion shipped ConStellaration on Hugging Science: a leaderboard, dataset, and eval metrics, all in one place.

a drug discovery team wanted to predict hPXR induction. OpenADMET put up a blind challenge: 11,000+ compounds assayed at Octant, 513 held out, two tracks (pEC50 + structure). Anyone in the world can train and submit.

an antibody team at @Ginkgo released GDPa1, a developability dataset for stability, manufacturability, and immunogenicity prediction, with a live leaderboard scoring every submission.

if you know a problem the ML community should be working on, let us know. make a challenge! this is about putting all the tools for solving science in one place. so we can hillclimb!

→ https://t.co/T4l4r1lDz0