Youssef El-Masry’s Post

OpenAI Makes Historic Move: Releases First Open-Weight Model in Over 6 Years After years of keeping their models proprietary, OpenAI has just released GPT-OSS - a game-changing open-weight model that’s available for free download and commercial use. Key highlights: 
🔹 Two configurations: 120B and 20B parameters 
🔹 Runs on a single GPU or even your laptop (20B version needs just 16GB RAM) 
🔹 Apache 2.0 license - fully customizable for commercial use 
🔹 Performance comparable to their existing o-mini and o3-mini models 
🔹 Capabilities include reasoning, web browsing, code generation, and agent management Why this matters:
This represents a major strategic shift for OpenAI. CEO Sam Altman previously cited safety concerns for not releasing open models, but recently admitted they were “on the wrong side of history” following the success of competitors like DeepSeek. As someone building in the AI space, this is incredibly exciting. Open models democratize access to cutting-edge AI technology, enabling smaller developers and organizations to innovate without the constraints of proprietary APIs. The barrier to AI innovation just got significantly lower. Expect to see an explosion of new applications and use cases built on this foundation. What are your thoughts on OpenAI’s shift toward open-source? How do you think this will impact the AI landscape? #OpenAI #OpenSource #ArtificialIntelligence #MachineLearning #Innovation #TechNews #AITools

Been tinkering with a few GenAI apps lately — fun stuff, but API limits and costs are always in the back of my mind. Now OpenAI just dropped GPT-OSS — two powerful open-weight models, free under Apache 2.0. 💡 20B model runs on 16GB RAM 💡 120B model runs on a single 80GB GPU Full reasoning power, long context (128K tokens), tool use… all without vendor lock-in. For someone still early in the AI building journey, this feels huge. Time to experiment without watching the meter tick. 🚀 What would you build if you could run GPT on your own machine? #OpenAI #GPTOSS #AI #GenAI #Developers

This is the moment the entire AI community has been waiting for. 🔓 OpenAI is finally open with two open-source models, including GPT OSS 120B / 20B. But that's not all, In the same week Anthropic launched Claude Opus 4.1, an absolute monster for reasoning and code. I've been testing both, and the results are insane.👇 Performance with OpenAI 120B: → It matches the reasoning of their proprietary o4-mini model. → Accessibility: It runs on a high-end laptop with a single GPU. → The Best Part: 100% free, 100% private, and runs completely offline. You can fine-tune it on your own data. Anthropic Claude Opus 4.1: →The Unrivaled Genius without a doubt🧠, the most powerful coding and reasoning engine on the market. It dominates the SWE-bench and HumanEval benchmarks. →With API pricing in the range of $15 (input) / $75 (output) per million tokens, it's for enterprise-grade tasks where perfection is non-negotiable. Conclusion from my video comparison: OpenAI just gave every developer the power to build powerful, private AI agents for free. This will unleash a wave of innovation. At the same time, Anthropic has set a new benchmark for what state-of-the-art performance looks like, especially for complex enterprise and coding challenges. What will you build first with a local 120B/20B model? 👇 #AI #OpenSource #ClaudeOpus #OpenAI #GPTOSS #GroqCloud #OpenRouter #AICommunity #LLM #Agents #DevLife

OpenAI Just Released Their First Open Source Model in 5+ Years! Meet GPT-OSS - OpenAI's first open-weight models since GPT-2 (2019) What's Available: - GPT-OSS-120B (117B params) - Single 80GB GPU - GPT-OSS-20B (21B params) - Runs on 16GB consumer hardware Key Features: - Chain-of-thought reasoning with adjustable effort - 128K context window for long documents - Tool integration (web search, code execution) - Complete offline functionality - No API costs or rate limits Performance: GPT-OSS-120B matches o4-mini, while 20B exceeds o3-mini despite smaller size. 🔗 Get Started: - Official Playground: https://gpt-oss.com - Download Models: https://lnkd.in/eZkRURgj - Documentation: https://lnkd.in/ehY3Khij What applications will you build with open-weight reasoning models? #OpenAI #GPTOSS #OpenSource #AI #MachineLearning #LocalAI #TechInnovation

🚀 OpenAI’s “Open Models” – A Strategic Shift That Could Reshape the AI Landscape For years, OpenAI operated with a closed-weight, API-only model delivery. Now, with Open Models, they’ve flipped the script. What’s new? ✅ gpt‑oss‑20B – 21B parameters, runs on consumer GPUs ✅ gpt‑oss‑120B – 117B parameters, runs on a single H100 ✅ Apache 2.0 license → fine-tune, deploy, redistribute freely ✅ Built-in chain-of-thought reasoning, tool use, code execution, browsing ✅ Supported by Hugging Face, vLLM, Ollama, LM Studio from Day 1 Unlike many “open” releases, these models are production-ready: • Transparent benchmarks (no mystery evals) • Community-driven improvement loops • Full reasoning trail for safety research Why it matters: This isn’t just about releasing weights. It’s about opening the foundation for real-world deployment, enterprise adoption, and collaborative governance. If even OpenAI is going open… what excuse does everyone else have? 💡 Question for you: How do you see open-weight LLMs changing enterprise AI strategies in the next 12 months? Would you trust them for production workloads today? #OpenAI #GenerativeAI #OpenSourceAI #LLM #AICommunity #AIInnovation #MachineLearning

𝐆𝐏𝐓-𝐎𝐒𝐒 𝐝𝐞𝐬𝐞𝐫𝐯𝐞𝐝 𝐦𝐨𝐫𝐞 𝐡𝐲𝐩𝐞 𝐛𝐮𝐭 𝐆𝐏𝐓-𝟓 𝐬𝐭𝐨𝐥𝐞 𝐭𝐡𝐞 𝐬𝐩𝐨𝐭𝐥𝐢𝐠𝐡𝐭. Just days before GPT-5 launched, OpenAI released something groundbreaking: 𝐆𝐏𝐓-𝐎𝐒𝐒, its first open-weight model since GPT-2. It didn’t get the attention it deserved but it should have. Because you don’t need a data center to run it! ✅ The 20B version runs on 16GB RAM ✅ The 120B version challenges o4-mini in benchmarks. ✅ It’s fully open-source under Apache 2.0 → yes, even for commercial use. Why does this matter? For the first time in years, you can truly build with OpenAI without the API. You can fine-tune it, run it locally, and integrate it freely. This changes the game for: • Indie devs avoiding vendor lock-in • Researchers wanting transparency • Startups cutting costs ✅ It’s also a signal: OpenAI is responding to the open-source wave (Meta, Mistral, etc.) Is this a turning point in how we build with AI? #GPTOSS #OpenAI #AI #GPT5

OpenAI just went open — meet its new generation of open-weight models OpenAI has unveiled GPT‑OSS‑120B and GPT‑OSS‑20B: powerful, openly available models that you can download, run locally, fine-tune, and build with—licensed under Apache 2.0. Why this matters: 🧩 Run them on your hardware • 20B model runs on a 16GB laptop • 120B model fits on a single 80GB GPU 🧠 High reasoning + tool use • 120B rivals OpenAI’s o4‑mini • 20B stacks up against o3‑mini ⚙️ Agentic capabilities • Built-in tool use, code execution, multi-step reasoning, and even offline functionality. 🔐 Safety built in • Evaluated with OpenAI’s Preparedness Framework + adversarial testing. Why it’s big: This marks a major pivot toward openness and developer control, giving startups, researchers, and builders full transparency and flexibility with cutting-edge reasoning models. —----------------—----------------—---------- 🚀𝗕𝗲 𝗽𝗮𝗿𝘁 𝗼𝗳 𝘁𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲 𝘁𝗼𝗱𝗮𝘆! Click “Follow” for the latest updates on groundbreaking innovations, tools, and trends.💪 —----------------—----------------—----------- ♻️ Repost to help your network! #openai #ai #innovation #technology #chatgpt

OpenAI just released their Open Models. HELLO to gpt-oss-120b & gpt-oss-20b, the open-weight models you can run, fine-tune, and ship under Apache 2.0. Said to be on the GPT-4-level reasoning on a single GPU and laptop-friendly speed at 20B params. Open Models are huge for devs, companies, and researchers who need complete control and predictable costs. Thank you to OpenAI for making AI truly open... and the documentation is🔥 #AI #OpenSource #LLMs #OpenModels

OpenAI just released gpt-oss-120b and gpt-oss-20b - their first open-weight models since GPT-2. The technical specs are impressive: → 120b model: 5.1B active params, runs on single 80GB GPU → 20b model: Edge-ready with just 16GB memory → Both outperform o3-mini on key benchmarks → Full unsupervised chain-of-thought access What makes this significant for AI teams: ✅ Apache 2.0 license = complete commercial freedom ✅ Mixture-of-experts architecture for efficiency ✅ Three reasoning modes (low/medium/high effort) ✅ 128k context length with tool integration ✅ Transparent reasoning process for research The 120b model actually beats o4-mini on competition math (AIME) and health benchmarks while matching performance on coding tasks. Now, we have frontier-level reasoning models that can be: -Fine-tuned on proprietary data -Deployed on-premises -Modified without restrictions -Studied with full CoT transparency This changes the game for enterprises needing AI sovereignty and researchers studying reasoning mechanisms. For more details, check out link in comments 👇 #AI #OpenAI #MachineLearning #AIEngineering #OpenSource

OpenAI drops GPT-OSS 120B and 20B models — and it’s a game changer for open-source LLMs. The release of GPT-OSS 120B and 20B marks a huge step forward in making powerful generative models more transparent, reproducible, and accessible. These models bring near state-of-the-art capabilities without the lock-in of proprietary APIs. Key reasons this matters: ✅ 120B offers impressive generation quality—approaching GPT-3.5 class ✅ 20B is a nimble, fine-tuneable workhorse for custom applications ✅ Fully open weights, code, and training data transparency ✅ Reproducible training process (not just inference-ready!) ✅ Ideal for both academic research and enterprise sandboxing These models can be run, studied, modified, and deployed — a huge win for the AI community and anyone looking to build safely, independently, and at scale. The future isn’t just closed and API-gated. It's open, modular, and community-driven. 🔗 If you're experimenting with GPT-OSS or fine-tuning for niche domains, let’s connect! 💬 What will you build now that 120B-level power is open-source? #OpenAI #GPTOSS #OpenSourceAI #LLM #MachineLearning #AIForEveryone #GenerativeAI #LLMDevelopment #ResponsibleAI