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Every tech company can and should train their own deepseek R1, Llama or GPT5, just like every tech company writes their own code (and AI is no more than software 2.0). This is why we’re releasing the Ultra-Scale Playbook. 200 pages to master: – 5D parallelism (DP, TP, PP, EP, https://x.com/ClementDelangue/status/1952048356710039700
It seems the closed-source vs open-weights landscape has been leveled. GPT-5 is just 10% better at coding than an open-weight model you can run on a consumer desktop and soon laptop. If Anthropic cannot come up with a good model, then we will probably not see AGI for a while.”” / X https://x.com/Tim_Dettmers/status/1953521836299350494
A hypothesis: gpt-oss is trained entirely on synthetic data, from pre-training to post-training. The approach enhances safety and helps smaller models achieve better performance.”” / X https://x.com/huybery/status/1952905224890532316
attention is 0.84% of gpt oss, intelligence is stored in those 99.16% mlp layer, attn is key to unlock it https://x.com/shxf0072/status/1953143243992166849
BREAKING: OpenAI just released two open-weight models: gpt-oss-120b and gpt-oss-20b. The 120B model is on par with o4-mini on reasoning benchmarks and can run on a single 80GB GPU. The 20B model achieves similar results to o3-mini and can run on edge devices with 16GB of https://x.com/rowancheung/status/1952777754904072566
curious about the training data of OpenAI’s new gpt-oss models? i was too. so i generated 10M examples from gpt-oss-20b, ran some analysis, and the results were… pretty bizarre time for a deep dive 🧵 https://x.com/jxmnop/status/1953899426075816164
Everyone is sleeping on AMD for local models – gpt-oss 20B running on an AMD GPU @ 52 tok/sec in a <$1000 laptop https://x.com/dzhng/status/1953132623280165193
gpt-oss for entirely local tool use:”” / X https://x.com/gdb/status/1952802157956350221
gpt-oss https://gpt-oss.com/
gpt-oss is a big deal; it is a state-of-the-art open-weights reasoning model, with strong real-world performance comparable to o4-mini, that you can run locally on your own computer (or phone with the smaller size). We believe this is the best and most usable open model in the”” / X https://x.com/sama/status/1952778518225723434
gpt-oss is out! we made an open model that performs at the level of o4-mini and runs on a high-end laptop (WTF!!) (and a smaller one that runs on a phone). super proud of the team; big triumph of technology.”” / X https://x.com/sama/status/1952777539052814448
gpt-oss-120b & gpt-oss-20b Model Card | OpenAI https://openai.com/index/gpt-oss-model-card/
GPT-OSS-120B casually calculating the product of two random 30-digit numbers. without any tools, just 18k tokens https://x.com/scaling01/status/1952892387539259455
Just released gpt-oss: state-of-the-art open-weight language models that deliver strong real-world performance. Runs locally on a laptop! https://x.com/gdb/status/1952780717638942910
RT @ggerganov: Llama.cpp supports the new gpt-oss model in native MXFP4 format The ggml inference engine (powering llama.cpp) can run the…”” / X https://x.com/ggerganov/status/1952978670328660152
RT @OpenAIDevs: Student credits for gpt-oss With @huggingface, we’re offering 500 students $50 in inference credits to explore gpt-oss.…”” / X https://x.com/reach_vb/status/1953010091377958984
Frontier models, capable of agentic reasoning, can now run on your Macbook Pro 🧑💻 @OpenAI’s release of GPT-OSS 20B and 120B are the biggest releases in open-source this year. Build agentic workflows with @llama_index that run 100% locally! Huge props to @LoganMarkewich and https://x.com/jerryjliu0/status/1952883595787239563
GPT-OSS models seem to be slopmaxxed on math/coding and reasoning – they are great at that but they completely lack taste and common sense at least that’s my vibe so far”” / X https://x.com/scaling01/status/1952881329772564764
I think gpt-oss was always expected to be put in an agent harness that uses search for all its world knowledge. Ive always argued this is not a valid replacement, the rich connections it builds from actual backprop on the worlds knowledge – not just facts, but the aggregate”” / X https://x.com/Teknium1/status/1953230352568467761
I was just about to make a post that GPT-OSS-120B is nontheless an overall good for the very low end. But I honestly don’t know what it is good at, except benchmarks. Coding seems to suck, creative writing is terrible… So it’s just a math model? https://x.com/scaling01/status/1953047913954791696
I’m thrilled @OpenAI has released two open weight models. Thank you to all my friends at OpenAI for this gift! I’m also encouraged that from my quick tests gpt-oss-120b looks strong (though we should still wait for rigorous 3rd party evals).”” / X https://x.com/AndrewYNg/status/1952838045235126510
i’ve spent the last couple hours talking to gpt-oss and can safely say it’s unlike any model i’ve tested one second it’s coding for me at a professional level, the next it’s making up basic facts and clinging to them no matter what i say something very strange is going on”” / X https://x.com/jxmnop/status/1953216881361600729
I’ve written the full story of Attention Sinks — a technical deep-dive into how the mechanism was developed and how our research ended up being used in OpenAI’s new OSS models. For those interested in the details: https://x.com/Guangxuan_Xiao/status/1953656755109376040
ICYMI: you can vibe test the latest gpt-oss models on gpt-oss[.]com 💥 We partnered with @OpenAI to bring easy access to the model right down to a browser near you! https://x.com/reach_vb/status/1953041435999010916
Introducing gpt-oss | OpenAI https://openai.com/index/introducing-gpt-oss/
Is it over for gpt-oss ? What are these Aider Polyglot scores? https://x.com/scaling01/status/1952780629772321257
It’s looking bad bois.. Aider Polyglot results for GPT-OSS-120B: 41.8% for comparison: Kimi-K2: 59.1% DeepSeek-R1: 56.9% Qwen3 32B: 40.0% https://x.com/scaling01/status/1953047534122713130
Our new @OpenAI open models https://x.com/polynoamial/status/1952778238368887184
Thank you @OpenAI for open-sourcing these great models! 🙌 We’re proud to be the official launch partner for gpt-oss (20B & 120B) – now supported in vLLM 🎉 ⚡ MXFP4 quant = fast & efficient 🌀 Hybrid attention (sliding + full) 🤖 Strong agentic abilities 🚀 Easy deployment 👉🏻”” / X https://x.com/vllm_project/status/1952784530466849091
The gpt-oss models have been post-trained to use two specific first-party tools: 1. a web browser that can search, read pages, follow links, and cite sources 2. an interactive python notebook This will give gpt-oss based agents super powerful capabilities out of the box! https://x.com/corbtt/status/1952810876165312805
We fixed some issues for @OpenAI’s gpt-oss model! 1. Jinja template has extra \n s, didn’t parse thinking sections + tool calling wasn’t rendered correctly 2. Some versions miss <|channel|>final -> this is a must! 3. F16 infs: use F32+BF16! We made a few free Colab notebooks as https://x.com/danielhanchen/status/1953901104150065544
Well, it took just 2 hours for OSS-GPT to hit #1 on @huggingface. Don’t remember seeing anything rise that fast! https://x.com/fdaudens/status/1952814865795698954
🚨 It’s official: OpenAI’s gpt-oss-120b & gpt-oss-20b just landed on Hugging Face! Brand new open-weight LLMs ready for anyone to try, fine-tune, and run anywhere. Here’s what makes this drop a big deal: https://x.com/fdaudens/status/1952781183575593234
And just like that, @OpenAI gpt-oss is now the number one trending model on @huggingface, out of almost 2M open models 🚀 People sometimes forget that they’ve already transformed the field: GPT-2, released back in 2019 is HF’s most downloaded text-generation model ever, and https://x.com/ClementDelangue/status/1952827283808375168
RT @satyanadella: Excited to bring OpenAI’s gpt-oss models to Azure AI Foundry and to Windows via Foundry Local. It’s hybrid AI in action:…”” / X https://x.com/xikun_zhang_/status/1952902211278913629
Ollama and @nvidia collaborate to accelerate gpt-oss on GeForce RTX and RTX PRO GPUs. NVIDIA and Ollama are advancing their partnership to boost model performance on NVIDIA GeForce RTX and RTX PRO GPUs. This collaboration enables users on RTX-powered PCs to accurately leverage https://x.com/ollama/status/1952782326926328313
🤔”(it’s a person demoing a local agent on their mac)” / X https://x.com/sama/status/1952767676922974463
Introducing Eigent — the first multi-agent workforce on your desktop. Eigent is a team of AI agents collaborating to complete complex tasks in parallel. It is your long-term working partner with fullly customizable workers and MCPs. Public beta available to download for MacOS, https://x.com/guohao_li/status/1950224830512390590
80 GPQA, ~20 HLE, 98 AIME 2025, and running on a single GPU, and open. Things are happening….”” / X https://x.com/SebastienBubeck/status/1952783367403126824
getting ready for the day. @nvidia GeForce RTX is powered on. https://x.com/ollama/status/1952764954484027727
RT @__sunil_kumar_: Excited to share some new work: we show how to efficiently train small vision-language models to use a zoom tool with G…”” / X https://x.com/andersonbcdefg/status/1953324558485713316
The OpenAI open weights models are very impressive. These basically beat every model from eight months ago & the small one runs on a laptop. For example, when HLE came out in January, the top score was 3-4%. Been playing with the models and so far they feel like their scores. https://x.com/emollick/status/1952796976279662596
we have a lot of new stuff for you over the next few days! something big-but-small today. and then a big upgrade later this week.”” / X https://x.com/sama/status/1952759361417466016
2.5 years later, OpenAI open source (smol) is not cracking the Dreaded Diamond Problem. https://x.com/teortaxesTex/status/1952822222298726786
Enjoy these lil models. A lot of people worked very hard on them :)”” / X https://x.com/kaicathyc/status/1952777050298925075
💡GPT-OSS 20B 2/4 bits GGUFs are available. Enjoy! https://x.com/HaihaoShen/status/1953729639081554002
interesting swiglu variant from the gpt-oss model: clamps inputs and adds a skip connection https://x.com/vikhyatk/status/1952808827281391701
New projects already being built on GPT OSS! Build your own with our Model APIs here -> https://x.com/basetenco/status/1952882156059148737
Next to Qwen3 of comparable size: Looks like gpt-oss is a wide (vs deep) model https://x.com/rasbt/status/1952842273848279364
One line of code is all it takes to fine-tune the gpt-oss models from @OpenAI 🔥 > Support to target the MoE expert layers with PEFT > Kernels for FlashAttention3 & MegaBlocks > Fast inference with MXFP4 quantization format In our testing, these models are extremely efficient https://x.com/_lewtun/status/1952788132908404941
openai/harmony: Renderer for the harmony response format to be used with gpt-oss https://github.com/openai/harmony
qianwen-res.oss-cn-beijing.aliyuncs.com https://qianwen-res.oss-cn-beijing.aliyuncs.com/
RT @CerebrasSystems: OpenAI GPT-OSS-120B is live on Cerebras 3,000 tokens/s – fastest OpenAI model on record 1 second reasoning time 131K c…”” / X https://x.com/cline/status/1952960760759632025
RT @mattshumer_: It’s over. OpenAI just crushed it. We have their o3-level open-source model running on @GroqInc at 500 tokens per second.…”” / X https://x.com/JonathanRoss321/status/1953119620103381440
RT @reach_vb: BOOOOM! You can now run @OpenAI gpt-oss 20B natively in @GoogleColab T4 for FREE! 🔥 Powered by Transformers ⚡ The setup tak…”” / X https://x.com/_lewtun/status/1953441199253069936
RT @thanosthinking: running gpt-oss:20b on @ollama with Turbo and web search 🏎️ 💨 very happy with how the web search turned out 🙂 and o…”” / X https://x.com/ollama/status/1952882173255856223
We’re thrilled to announce Axolotl v0.12.0. We’re ramping up our distributed training featureset with ND parallel multi-node training, and FP8 support. We’ve also added fine-tuning for gpt-oss, FSDP support for TiledMLP, and many more exciting features. 1/5 https://x.com/axolotl_ai/status/1953845149391630472
The Harmony format from gpt-oss is now supported for datasets on the @huggingface Hub 🧘 Nifty feature by @calebfahlgren! https://x.com/_lewtun/status/1953870411050959110
DeepSeek-R1: 2.66 million H800 hours GPT-OSS-120B: 2.1 million H100 hours https://x.com/scaling01/status/1952784655838564376
OpenAI claims that GPT-5 is the leading agentic tool calling model. State-of-the-art performance (97%) on the Tau benchmark. GPT-5 also achieves significant improvements in instruction following across different benchmarks. https://x.com/omarsar0/status/1953516984672420041
In case you missed it: Qdrant Edge is now in private beta. 🚀 It’s a lightweight, embedded vector search engine built for on-device AI, no cloud required. Perfect for: 🤖 Robotics 📱 Mobile apps 🛒 POS systems 🌐 IoT devices If you’re building AI at the edge, we’d love to hear https://x.com/qdrant_engine/status/1951631317939990765
It’s wild how much performance can differ depending on provider implementation! (probably the outcome of too heavy quantization) I also had cases where some providers silently fail to respect tool calling or structured generation formats: always have your own mini-benchmark to”” / X https://x.com/AymericRoucher/status/1953115586273394873
