Julian Bilcke retweeted
Here's a direct link to OpenAI's PDF claiming a refutation of ETH. In particular, it's claimed that 3SAT on n variables is in about exp(n/(log n)^{1/2+o(1)}) time
github.com/openai/math/blob/ā¦
Julian Bilcke retweeted
We are announcing three new discoveries in mathematics, computer science, and physics about harmonic analysis, complexity theory, and quantum field theory.
openai.com/index/building-scā¦
GPT-6.1 Terra continues to advance the cost-intelligence frontier across our model families.
Itās a significant step up over GPTā5.6 Terra, with 50% lower standard API prices.
In ChatGPT Work and Codex, your usage allowance goes further with GPTā6.1 Terra than with GPTā5.6 Terraāand far more than with GPTā6.1 Sol or GPTā6 Astra.
For in-depth research or complex coding, choose GPT-6.1 Sol or GPT-6 Astra.
Julian Bilcke retweeted
š NVIDIA has released the MotionBricks weights on the Hugging Face Hub!
MotionBricks generates real-time motion for game characters and humanoid robots. Give it a character's recent poses and the poses it should reach next, and it generates the movement in between, at 15,000 FPS with 2 ms latency.
- One model trained on 350K+ motion clips
- Smart Primitives for navigation and object interaction, no retraining
- SOMA weights for human characters
- Unitree G1 weights for the humanoid robot
- Code under Apache 2.0, weights under the NVIDIA Open Model Agreement
Animation and robotics motion generation, now open for anyone to build on!
Julian Bilcke retweeted
Beavers stop chewing every few seconds to listen for cracking sounds in the tree so they don't get crushed
Julian Bilcke retweeted
This is a virtual human body with 700 muscle actuators, 206 joints, and 90 body segments.
It's fully open source, and researchers can use it to simulate human movement through muscle-level control.
Julian Bilcke retweeted
Foldable iPhone Duo devices are reportedly breaking in large numbers, with displays failing along the hinge crease.
Buyers in Japan, China, Australia, and other countries have reported the same issue. In some cases, the display reportedly fails while the phone is still on display in stores.
The symptoms are identical: after just a few days of use, a black line appears across the screen.
Julian Bilcke retweeted
Replying to @deepfates
Some say it also happens to ones thoughts
š¤ Made with AI
Julian Bilcke retweeted
MEKsans (top) is a better font in kerning, being a non-mono font as opposed to MEKmode (bottom). More efficient spacing, better legibility, something I want to apply on the next build (v0.13).
The glyphs that you've seen in-game came from MEKmode Dings though, all of it!
Drex 2.0 now runs completely local on Apple Silicon.
Open weights. Sub-200ms latency. Zero cloud dependencies.
⢠Footprint: 21 GB (4-bit Q4_K_M)
⢠Hardware: 36 GB+ Unified Memory (Apple Silicon)
Median decision latency (M5 Pro):
⢠Kapitsa: 113 ms ⢠llama.cpp: 248 ms ⢠Ollama: 282 ms
Hugging Face: huggingface.co/nace-ai/drex-ā¦
GitHub: github.com/nace-ai/drex-deciā¦
Julian Bilcke retweeted
We are open sourcing Phonon-2.5, setting a new accuracy-to-size Pareto frontier in multilingual speech recognition.
We brought a 2.5 GB model down to just 6.2% (!!) of its original download size, and simutaneously improved its accuracy.
Phonon-2.5 achieves 101.8% of its full-precision baseās average word accuracy across 25 languages.
Weāve begun rolling out Phonon-2.5 in Detta, bringing dictation in 25 languages to your Mac, completely locally!
Introducing Phonon-2.5: A new accuracy-to-size Pareto frontier in multilingual speech recognition.
It is a miniscule 156MB download, which is more accurate on average, than OpenAIās Whisper large-v3 ( 20x its size!)
Transcribe an hour of multilingual audio in just 20 seconds on a MacBook Air!
Open weights, CC-BY-4.0, today.
@fermion_ai
We believe voice is the most natural way to interact with intelligence, so we created Dessa, the most authentic full-duplex speech model ever built. Talking with it feels like talking with a personā¦full of emotion, nuance, pauses, and a natural cadence.
block.xyz/dessa
Julian Bilcke retweeted
Introducing Phonon-2.5: A new accuracy-to-size Pareto frontier in multilingual speech recognition.
It is a miniscule 156MB download, which is more accurate on average, than OpenAIās Whisper large-v3 ( 20x its size!)
Transcribe an hour of multilingual audio in just 20 seconds on a MacBook Air!
Open weights, CC-BY-4.0, today.
@fermion_ai
Julian Bilcke retweeted
Just Eat apologises for AI food mistakes after social media ridicule bbc.in/4jAIj9J
Julian Bilcke retweeted
Jensen closed his GTC Berlin 2026 keynote with this Hermes Agent demo as the finale.
He introduced it by saying the way to build an agent is to ask an agent to build it for you, so he installed and set up a customized Hermes in one prompt.
Then he used Hermes, running on @nvidia RTX Spark, to create a simulated training environment for the @huggingface Microduck. Hermes planned an obstacle course with Nemotron and had GPT-6 Astra build it using FreeCAD, Omniverse libraries, Blender, Newton, and Isaac Lab. Hermes trained thousands of simulated ducks on that course until the validated policy was ready to run on the real robot in the physical world.
At Nous, we believe open source is a practical tool as much as a philosophical ideal. It gives users the ability to build powerful, complex workflows chaining numerous local+cloud models, devices, and tools themselves instead of waiting for a company to enable them.
Julian Bilcke retweeted
It's an extremely great work! Moreover, the framework itself is very interesting. I tried to apply this framework to Unitree Go2 with 5080 and it works very fast. I found that this framework itself can even serve multiple robots or collaborative tasks with shared dynamic buffer.
We found a way to scale humanoid control that reduces GPU-hours by more than 1000Ć.
Across 129,514 motions, SuperMimic surpasses the state of the art (128 GPUs, 7 days) with 1 GPU in 3 hours.
Project: supermimic.github.io
Demo: supermimic.github.io/demo/
Julian Bilcke retweeted
Today we're releasing abliterated-model-large-v2.
Based on GLM-5.3, which is #3 on Terminal-Bench 4.0 (behind only Opus 5 and Fable), with 2Ć the cyber exploitation of 5.2.
We abliterated and hosted it so it does the offensive cyber, red teaming, and agent testing work other models refuse to do.
- US-hosted
- FP8
- 1 million context window
- Zero input/output prompt retention
Live now. š§µ


































