Tomas Vymazal

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Tomas Vymazal

Tomas Vymazal

@myownclone

* currently tech programmer @ Frictional Games 🎮 (opinions are my own and not my company’s) * previously game AI programmer 💻 * ML researcher 🧠

Czech republic Katılım Eylül 2008
1.8K Takip Edilen613 Takipçiler
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ElevenLabs
ElevenLabs@ElevenLabs·
Introducing Eleven Music. The highest quality AI music model. - Complete control over genre, style, and structure - Multi-lingual, including English, Spanish, German, Japanese and more - Edit the sound and lyrics of individual sections or the whole song
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Leon Noel 🔥
Leon Noel 🔥@leonnoel·
forget vibe coding the next wave is mind coding i just accepted all changes in @cursor_ai with my brain using a $20 toy that reads your brain's electrical activity + an arduino you can control your keyboard by just focusing should i make a full tutorial?
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siddharth ahuja
siddharth ahuja@sidahuj·
🎵💿Built an MCP that lets Claude talk directly to Ableton. Now you can create music with just prompts! Here’s a demo of me creating a lush, 80s synthwave track in just two prompts. It picks the right instruments, creates melodies, and adds effects like reverb and distortion 🔊
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Inception
Inception@_inception_ai·
We are excited to introduce Mercury, the first commercial-grade diffusion large language model (dLLM)! dLLMs push the frontier of intelligence and speed with parallel, coarse-to-fine text generation.
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Andrej Karpathy
Andrej Karpathy@karpathy·
This is interesting as a first large diffusion-based LLM. Most of the LLMs you've been seeing are ~clones as far as the core modeling approach goes. They're all trained "autoregressively", i.e. predicting tokens from left to right. Diffusion is different - it doesn't go left to right, but all at once. You start with noise and gradually denoise into a token stream. Most of the image / video generation AI tools actually work this way and use Diffusion, not Autoregression. It's only text (and sometimes audio!) that have resisted. So it's been a bit of a mystery to me and many others why, for some reason, text prefers Autoregression, but images/videos prefer Diffusion. This turns out to be a fairly deep rabbit hole that has to do with the distribution of information and noise and our own perception of them, in these domains. If you look close enough, a lot of interesting connections emerge between the two as well. All that to say that this model has the potential to be different, and possibly showcase new, unique psychology, or new strengths and weaknesses. I encourage people to try it out!
Inception@_inception_ai

We are excited to introduce Mercury, the first commercial-grade diffusion large language model (dLLM)! dLLMs push the frontier of intelligence and speed with parallel, coarse-to-fine text generation.

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Allan Blomquist
Allan Blomquist@allan_blomquist·
Here's a look at some of our internal programming tools at Tomorrow Corporation! youtu.be/72y2EC5fkcE
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Andrew Côté
Andrew Côté@Andercot·
National Lab (LBNL) results support LK-99 as a room-temperature ambient-pressure superconductor. Simulations published 1 hour ago on arxiv support LK-99 as the holy grail of modern material science and applied physics. (arxiv.org/abs/2307.16892) Here's the plain-english explanation: - The simulations modeled what the original Korean authors proposed was happening to their material - where copper atoms were percolating into a crystal structure and replacing lead atoms, causing the crystal to strain slightly and contract by 0.5%. This unique structure was proposed to allow this amazing property. - @sineatrix from Lawrence Berkeley National Lab simulated this using heavy-duty compute power from the Department of Energy, and looked to see what would happen to the 'electronic structure' of this material, meaning, what are the available conduction pathways in the material. - It turns out that there are conduction pathways for electrons that are in just the right conditions and places that would enable them to 'superconduct'. More specifically, they were close to the 'Fermi Surface' which is like the sea-level of electrical energy, as in '0 ft above sea-level.' It's believed currently that the more conduction pathways close to the Fermi surface, the higher the temperature you can superconduct at (An analogy might be how its easier for planes to fly close to the surface of the ocean due to the 'ground effect' that gives them more lift.) This plot in particular shows the 'bands', or electron pathways, crossing above and below the Fermi surface. - Lastly, these interesting conduction pathways only form when the copper atom percolates into the less likely location in the crystal lattice, or the 'higher energy' binding site. This means the material would be difficult to synthesize since only a small fraction of crystal gets its copper in just the right location. This is insanely bullish for humanity.
Andrew Côté tweet media
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Miguel Ramos
Miguel Ramos@marbtweeting·
C++ developers! Next week at //Build, we will introduce WinUI 3 in desktop apps, a UX Framework for creating beautiful and powerful UIs for Windows in Win32. Watch our live talk at Microsoft //Build, we will tell you how you can start using it. mybuild.microsoft.com/sessions?q=Dem…
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Alexander Battaglia
Alexander Battaglia@Dachsjaeger·
Did you know I am a massive DF retro fanboy? Never miss an ep.
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Sylvain Lefebvre
Sylvain Lefebvre@sylefeb·
The DooM-chip! It will run E1M1 till the end of times (or till power runs out, whichever comes first). Algorithm is burned into wires, LUTs and flip-flops on an #FPGA: no CPU, no opcodes, no instruction counter. Running on Altera CycloneV + SDRAM. (1/n)
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Alexandre Devaux
Alexandre Devaux@AlexandreDevaux·
#WebXR + TensorFlow.js is magic 😀 Coding an experiment that extract people from photo using deeplearning and make them appear as holograms! In a web page thanks to #webgl and WebXR :) @TensorFlow @threejs_org
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gabsmashh
gabsmashh@gabsmashh·
my love for you is like dark matter: still haven't found it 😉
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gabsmashh
gabsmashh@gabsmashh·
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