OpenAI’s GPT-5 is in Public Preview on Snowflake Cortex AI! This means OpenAI’s most advanced models are natively available within the secure Snowflake environment. Developers can use these models to power advanced analytics across multimodal data with standard SQL via Cortex AISQL, build powerful agentic applications or create low-latency, interactive apps using the Cortex REST API. An OpenAI-compatible SDK is also in private preview for easy integration, allowing you to seamlessly switch between frontier models using a single, unified API surface. This integration reduces overhead and accelerates time to production for a wide range of enterprise use cases.

🚨 Big news from OpenAI that’s going to shake up the open-source AI world! Just came across OpenAI’s release of gpt-oss-120b and gpt-oss-20b, and I honestly think this is a major leap for developers working in agentic workflows, MCP setups, and RAG-based systems. These are open-weight models—meaning you can download, run, and customize them however you want. No locked APIs, no hidden weights, no expensive vendor lock-ins. And yet… the performance? 🔥 gpt-oss-120b competes with o4-mini on reasoning benchmarks, but can run on a single 80GB GPU. gpt-oss-20b performs like o3-mini and only needs 16GB—perfect for local or on-device deployments. But what really stands out for me? 👉 These models are agent-ready—built for structured tool use, few-shot function calling, long-context CoT reasoning (up to 128k tokens!), and dynamically adjusting reasoning effort based on the task at hand. So if you're working on: 🧠 Multi-component AI agents 🧩 Modular Computation Pipelines (MCP) 📚 RAG systems for search + synthesis ...this is an amazing foundation to build on. You get full control, low-latency inference, safety-aligned training, and freedom to fine-tune it for domain-specific workflows. Best part? It's released under Apache 2.0. Open, flexible, and production-friendly. 🎯 I see this as a huge step forward—not just for open-source AI, but for making powerful, safe, and customizable agents available to everyone, not just those with access to proprietary APIs. If you're working in this space, I really recommend digging into these models. Let’s push the frontier of human + machine collaboration together. Here’s to more transparent, local, and agentic AI! 🚀 #OpenAI #gptOSS #AIagents #OpenSourceAI #RAG #MCP #AIinfra #AIDevelopment #AgenticAI #LLM #FineTuning #AIFuture Link:- https://lnkd.in/dtrQ5qTS

OpenAI cuts API pricing by 50% across flagship models What happened OpenAI reduced API pricing for GPT-4o and GPT-4o mini by approximately 50%, with input tokens dropping from previous rates. The changes apply to all API tiers effective this week. Why it matters • **Development costs for AI features drop significantly for existing applications** • Competitive pressure intensifies as frontier model pricing approaches commodity levels • Smaller teams can now afford production-scale deployments without venture backing Key numbers • GPT-4o input: reduced to roughly half previous rates • GPT-4o mini: similar percentage reduction across input/output • Change affects millions of API calls daily across developer ecosystem Zoom out This continues the industry trend toward accessible AI infrastructure, following similar moves by Anthropic and Google in recent months. Next steps Audit your current API spend and model usage patterns. Consider upgrading applications that were previously cost-prohibitive. Test workloads that required cheaper but less capable models. Sources OpenAI blog, API pricing documentation, developer community discussions What AI feature will you finally build now that the economics work? #AIpricing #OpenAI #APIeconomics #AIinfrastructure

Groq and HUMAIN deploy OpenAI’s open models with 128K context, blazing speed, and global reach—bringing real-time, low-cost inference to developers now. Read the Latest Full News - https://lnkd.in/dareX3MR #OpenSourceAI #InferenceSpeed #GroqCloud #GPTOSS #AIInfrastructure #128KContext #RealTimeAI #SaudiAI #TechEdge #TechEdgeAI #LLMDeployment #AIModelHosting

GPT-5 is (very likely) launching tonight and I'll be tuning into the livestream later today. Here’s why it matters. While OpenAI hasn’t made it official yet, all signs point to a GPT-5 reveal today. Cryptic (and bullish) tweets by OpenAI insiders in the last couple of days and the subtle ;) livestream announcement. While I have no information about GPT-5 performance, there is no doubt this will be a major model. Earlier this week, OpenAI released two major open-weight models - gpt‑oss‑20b and gpt‑oss‑120b - their first open release since GPT‑2 back in 2019. The smaller one, gpt‑oss‑20b, can even run locally on a Mac with just 16 GB of RAM - no data center nor internet required ;-) According to multiple benchmark sources, these models are reportedly approaching o3 performance - reminder: this is the best model in the world-. That’s a huge deal because OpenAI is effectively cannibalizing its own legacy stack in favor of broader access. If GPT-oss models bring tons of benefits to OpenAI (brand sentiment in the tech community, new partnerships, Gov relationships...) they will generate zero revenue for OpenAI, while their current API business is projected to cross $2B+ in ARR this year (15–20% of total revenue). So why do it? Because GPT-5 must be leaps ahead. You don’t undercut a fast growing $2B ARR business unless what’s next is truly next-level. Are you ready?

🚀 OpenAI just changed the game for local AI with gpt-oss ! After spending several hours testing OpenAI new open-source models (gpt-oss-120b and gpt-oss-20b), I'm genuinely impressed. Key highlights: ✅ Exceptional at code generation ✅ True tool use capabilities ✅ Runs entirely on my macbook! You can now build and deploy sophisticated AI agents locally, maintaining full control over your data and infrastructure. - No API costs - No rate limits - You keep your data yours Download from Hugging Face You can deploy Archia as easy as a web service to build, manage, and orchestrate MCP agents. Ask me how... #AI #OpenSource #MCP

OpenAI just changed the game...again. For the first time since GPT-2, OpenAI has released open-weight models: ✅ GPT-oss-120b – comparable to o4-mini, runs on a single H100 or high-end MacBook ✅  GPT-oss-20b – similar to o3-mini, runs on 16GB consumer hardware or edge devices Key Features: 👉 These models offer state-of-the-art reasoning, structured output, tool use, and 128k context 👉 Built on OpenAI’s o-series architecture, with efficient MoE design and full chain-of-thought capabilities 👉 Available under Apache 2.0, with local deployment, full fine-tuning freedom, and transparent inspection 👉 Safety-tested to match internal standards of OpenAI’s proprietary models This isn’t just open source : it’s a shift in control. 💡 Run it entirely on local infrastructure — no internet required. 💡 Customize it through fine-tuning to meet your specific use cases. 💡 Gain full transparency into its reasoning and decision-making process. As infrastructure becomes more accessible and models more open, we’re entering a new era of democratized AI: one where performance, privacy, and innovation can coexist. - Interactive demo: https://gpt-oss.com/ - Announcement: https://lnkd.in/eUNsynvR - More details: https://lnkd.in/eXxEcMtB - Hugging Face: https://lnkd.in/eaT_PPf3 - GitHub: https://lnkd.in/eas3c3hF #AI #OpenAI #OpenSourceAI #LLM #EdgeAI #GenerativeAI #InnovationEconomy #ArtificialIntelligence

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

🔥 Open-source just got a major upgrade! OpenAI has released GPT‑OSS. With gpt‑oss‑120b and gpt‑oss‑20b, we now have access to high-performance, reasoning-focused LLMs that can be deployed, fine-tuned, and self-hosted, all under the Apache 2.0 license. As someone who’s passionate about data science and building real-world AI solutions, I can't wait to explore its capabilities. It's a big step toward openness and empowerment for the developer and research community. Kudos to the team at OpenAI for making this possible. 🙌 Let’s build! 🚀 #GPTOSS #OpenSourceAI #MachineLearning

🚀 THE AI GAME JUST CHANGED FOREVER The moment we've all been anticipating has arrived! OpenAI just made history by open-sourcing not one, but TWO revolutionary language models that are about to reshape how we think about AI development: 🎯 MEET THE GAME-CHANGERS: - gpt-oss-120b - Runs seamlessly on a single H100 or even your high-end MacBook - gpt-oss-20b - Works perfectly on standard 16GB consumer hardware WHY THIS CHANGES EVERYTHING These aren't just "community experiments" - they're production-ready powerhouses that rival OpenAI's own o3-mini and o4-mini models in real-world benchmarks. 🔥 WHAT MAKES THEM SPECIAL: ✅ 128k context window out of the box ✅ Structured outputs and advanced tool integration ✅ Efficient MoE architecture (only 5.1B params/token for the 120B model) ✅ Apache 2.0 license - truly free to use ✅ Battle-tested safety - adversarially tested to match OpenAI's frontier model standards THE REAL REVOLUTION: CONTROL RETURNS TO DEVELOPERS This isn't just about open source - it's about democratizing AI power: 🏠 Run it locally - No more API dependencies 🛠️ Fine-tune freely - Customize for your exact needs 🔍 Inspect reasoning - Full transparency into AI decision-making 🔒 Enterprise-ready - Keep sensitive data in-house MY TAKE: OPEN MODELS SHOULD BE YOUR DEFAULT For any enterprise serious about AI strategy, this represents a fundamental shift. Why rely on black-box APIs when you can have: - Complete control over your AI pipeline - Zero vendor lock-in - Unlimited customization potential - Full data privacy and security READY TO EXPERIENCE THE FUTURE? 🔗 GET STARTED NOW: - Interactive demo: https://gpt-oss.com/ - Release Notes: https://lnkd.in/gNS_mJmx - GitHub: https://lnkd.in/gMu-Pi3r - Hugging Face: https://lnkd.in/g6wUt6u4 💡 Found this valuable? Hit that repost button to share with your network! #OpenAI #ArtificialIntelligence #OpenSource #MachineLearning #TechInnovation #AIStrategy #Enterprise #Development