developers & builders @nebiustf - Educator at https://xitter.cf/t.co/BBKhRY0mTN Opinions are ChatGPTs
Joined January 2020
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- Following968
- Followers22.4K
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If you're a rockstar DevRel in AI and in the bay area 🇺🇸, we are hiring!
DM me or apply here!
careers.nebius.com/job?gh_ji…
RT for good karma!
“Startup companies like Nebius are doing incredibly well.” - @JensenHuang, @nvidia CEO at #NVIDIAGTC Berlin keynote
1LittleCoder💻 retweeted
OMG 😱 @fal really cooked with this one ! Just with text-to-video , it was very easy to create a simple ad with FLUX 3 Max !!
Try it now !
Introducing FLUX 3 Max, the latest post-trained video model from fal Research in partnership with @bfl_ai.
FLUX 3 Max is tied for #1 in image-to-video quality on independent third-party benchmarks, generating a 10-second, 720/768p video in ~12 seconds.
For the next three weeks, FLUX 3 Max is 75% off, making it the most affordable frontier video model at its quality level.
Finally someone's using AI to find possibilities to cure Cancer!
Cancer patients with the same diagnosis often have very different tumor biology.
Molecular testing can reveal underlying differences, but that's slow and expensive.
Introducing Holon-S1, our platform to predict genes and biomarkers from routine pathology slides.
• beats two other models at predicting spatial gene activity in a controlled comparison
• has identified potentially novel biomarkers in breast cancer and colon cancer
• evaluated across 16 organ types and more than 15 scanners, using slides from both formalin-fixed, paraffin-embedded and fresh-frozen tissue.
We believe Holon-S1 has the potential to help researchers find new biomarkers in slides they already have, discover treatment targets, and bring more personalized cancer care within reach!
Do you need space bunny on @nebiustf ? 👀👀👀
🔥 AI Builders in Europe, heres' @nebiusai AI Builder program to help you build on Open Stack with compute, credits, VC-backed support with partners like @NVIDIAAI , @Accel
The AI Builder Program is expanding across Europe with $10M in total support across compute grants, capital, and community programs.
Are you building open models, developer tools, or applications on top of them? The program helps builders go from experimentation to scale-up through:
- Compute grants for selected projects in areas such as open models, coding agents, post-training, and evals
- VC connections to help turn open source projects into companies
- Hackathons and demo days with communities including @AITinkerers, @techeurope_ , and @esra_robotics to build, connect, and share your work
We’re kicking off the European expansion this week at #NVIDIAGTC Berlin with @NVIDIAAI, @Accel, and a network of European VCs.
Building AI in Europe? Details below. 👇
Jev use-cases are getting out of control and the latest one is to use it with an Audio Model!
Qwen-Audio-Jev: A Unified Interface for Audio Decisions
"Compared with the original Qwen-Audio-3.1-ASR-Flash-Next, Qwen-Audio-Jev achieves an approximately 20x inference speedup. It demonstrates its potential for efficient, high-throughput audio decision-making in applications such as large-scale audio screening, speaker verification, and automated quality assessment."
Qwen-Audio-Jev is designed by augmenting Qwen-Audio-3.1-ASR-Flash-Next with a dedicated Jev decision head.
The model unifies selection, binary judgment, and scoring through three decision primitives: CHOICE, NOUL, and SCORE. Given audio, a natural-language question, and an explicit answer specification, it directly produces a task-conditioned probability distribution or a numerical score through typed decision readouts.
Evaluation across 18 labeled configurations covers all three primitives: for CHOICE, Qwen-Audio-Jev achieves accuracies of 78.70% on MMAU-mini and 84.06% on MMSU; for NOUL, it achieves an equal error rate of 6.50% on the VoxCeleb1-O speaker verification benchmark; and for SCORE, the model achieves a normalized mean absolute error of 0.1062 on NISQA overall quality assessment, with Pearson and Spearman correlations of 0.8210 and 0.8074, respectively.
Paper link - arxiv.org/pdf/2610.21614v1
> Distillation attack on opencode
> Api keys leaked
> opencode working with Google, openai, anthropic
What's going on !
We had a security breach last night related to a large scale distillation attack that impacted 1.4% of OpenCode Console users
We have notified them all this morning via email. If you did not get an email you were not impacted, it was a subset of users who had external providers linked
The incident is ongoing so we cannot share more details at this point but we are working with Anthropic, OpenAI, and Google to remediate
Who wants fastt inference on @nebiustf 👀👀?
🚀 DeepSeek-V4.1-Flash-1017 is here!
Stronger benchmark performance, faster task completion, and shorter outputs than the previous version—a Pareto improvement in performance and cost. Now live on our website, app, and API.
🛠️ Optimized for @DeepSeekHarness, Tencent CodeBuddy, WorkBuddy, and more. Upgrade to DeepSeek Harness v0.2.1-rc.1 or later for the best experience with the new model.
1/4
I remember the early days of Deep Learning rising (almost ~8ish years back) where complains like this of the "romantic era of modelling" ending.
People who were statisticians felt that it's dumber to throw in a lot of data and get an answer which was more accurate than simple statistical models.
Linear regression and Logistic regression were having the hardest time of their lifetime.
Even xgboost was considered to be bad science because interpretability wasn't straightforward.
And fast forward, the data science world has changed a lot. In fact, I heard a similar complaint when people were throwing everything at LLMs even for classical NLP tasks.
The bottomline is that it's not just Mathematicians who feel so. It'll be everybody.
If you fantasized writing beautiful computer program, you'll feel that the romaticism is dying - but if you are here to just solve the problem and go touch the grass - then you might be cheering up!
Mathematician Terence Tao:
"we're seeing the end of the romantic era of mathematics, the age of heroes. we're moving into an industrial era where math becomes large-scale, done in big teams like the other sciences"
We're entering, rather unwillingly, a new era where exciting new things are possible, but some things are being lost
1LittleCoder💻 retweeted
welcome @ReflectionAI_ Beam!
and here is a cookbook to start: dev.nebius.com/cookbook/beam…
Super Fast ⚡️ @reflection_ai Beam is right now Live on @nebiustf
🔥 Beam is Reflection’s open-weight, instruction-tuned text model for coding, reasoning and agentic tool use.
🔥 Its mixture-of-experts architecture has 501.3B total parameters and 23.4B active parameters.
🔥 It supports a 1M-token context window, was developed predominantly for English, and has a knowledge cutoff of June 30, 2026.
Super Fast ⚡️ @reflection_ai Beam is right now Live on @nebiustf
🔥 Beam is Reflection’s open-weight, instruction-tuned text model for coding, reasoning and agentic tool use.
🔥 Its mixture-of-experts architecture has 501.3B total parameters and 23.4B active parameters.
🔥 It supports a 1M-token context window, was developed predominantly for English, and has a knowledge cutoff of June 30, 2026.
Reflection's Beam is available on Nebius Token Factory from Day 0
Reflection’s first open-weight model is built for coding agents, advanced reasoning, software engineering, and autonomous agentic workflows.
Put it to work fixing bugs, refactoring code and using tools.
Try it out today: tokenfactory.nebius.com/?mod…
🚨 BREAKING: Day 0 support of the most capable 🇺🇸 open weight model on @nebiustf 🔥
1Million context window and Natively multimodal capabilities make it a great coding agent candidate for long horizon tasks!
The following demo shows the model's amazing OCR capabilities on Tamil Language!
Every enterprise is looking for some router! So, I ran a Jev @typesafeai Router to route GPT 5.1 Medium tasks to open models powered by @nebiustf and the result is almost ~73% costs savings!
This was a small pocket of use-case but this can be expanded pretty well for multiple other use-cases for cost-savings!
How to get ~73% cheaper with 98.4% success rate with open models using Jev as a router with Open Models from @nebiustf
How to get ~73% cheaper with 98.4% success rate with open models using Jev as a router with Open Models from @nebiustf
🚨300ish tokens / second. The fastest Qwen 3.8 27B is currently being served on @nebiustf 🔥🔥
Learning how to hack openai with chatgpt 🙄🙄🙄
We discovered a sophisticated recording device that was hidden inside one of our offices. We used our models to understand the device and where it had come from, identifying that a specific employee had planted it a few days earlier. We referred the matter to the FBI, and we’re grateful to the agents and prosecutors who moved quickly to make an arrest. The FBI’s investigation is ongoing and we will continue to support their work.
At this time, we have no indications of this individual inappropriately accessing or exfiltrating model weights, source code, or customer data. The employee was terminated.
We take protecting our technology, data, and people seriously, and as a matter of national importance. Our security program is designed to protect against a wide range of threat actors, from insider risks to cybercriminals to nation states, and this case is an example of how AI can help address these sophisticated security threats.