we have money from a paid community that we put back into buying servers for running models and training models, this feels honest and we're happy with it
BUSINESS
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Internal Coding Agents Deliver Maximum ROI for Enterprise
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Internal coding agents are where I see the biggest ROI for companies right now. The open SWE benchmarks are great but every codebase has its own quirks that only internal context can handle.
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AI Impact on Work: Augmentation vs Automation Discussion
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🧵Augmentation or automation? What does AI mean for work? Live from Hoover's AI and Jobs summit, Hoover Senior Fellow Steven Davis chats with @DigEconLab Director @erikbryn, @LinkedIn Chief Economist Karin Kimbrough, and @AnthropicAI Head of Economics @PeterMcCrory.
→ View original post on X — @stanfordhai, 2026-03-18 00:30 UTC
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Humanoid Robot Boosts Chinese Automaker Vehicle Sales
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This Humanoid #Robot Is Helping a Chinese Automaker Sell More Cars
— Ronald van Loon (@Ronald_vanLoon) 18 mars 2026
by @CyberRobooo
#AI #Robotics #MachineLearning #ArtificialIntelligence #ML #MI #Innovation pic.twitter.com/0DQrlSqyLnThis Humanoid #Robot Is Helping a Chinese Automaker Sell More Cars
by @CyberRobooo #AI #Robotics #MachineLearning #ArtificialIntelligence #ML #MI #Innovation -
Anthropic Launches $100M Enterprise Partner Network for Claude Adoption
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Anthropic just launched a dedicated enterprise partner network — $100M committed in 2026 for training, support, and co-marketing for businesses adopting Claude. The enterprise AI race isn't just about models. It's about who builds the best adoption infrastructure. #AI
→ View original post on X — @svenphilipsen, 2026-03-18 00:00 UTC
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No Investors: Charging Actual Costs for AI Services
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we have no investors so we have to charge you what it costs us to provide
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No Investors: Server Costs Equal User Payments Model
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we have no investors, the money people pay us is what it costs to fund the servers, this is just what it costs
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NVIDIA GTC 2026: Breakthrough AI Chips and Vera Rubin Architecture
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NVIDIA's GTC 2026 conference has been phenomenal in terms of latest computer chips and AI stack announcements. Here are the key updates you need to know: 1. The $1 Trillion Demand Projection: NVIDIA CEO Jensen Huang raised demand projections for Blackwell and Vera Rubin systems to $1 trillion through 2027, driven by the explosive growth of AI inference. 2. Vera Rubin Architecture: The new platform features seven breakthrough chips, including the Vera CPU and Rubin GPU with HBM4 memory. It is designed as a vertically integrated "AI Factory" to handle agentic AI reasoning. 3. Groq3 LPX Inference Acceleration: Following a $20 billion deal, NVIDIA integrated Groq’s SRAM-based technology to create the Groq3 LPX rack. This system delivers up to 35x faster token generation for trillion-parameter models. 4. NemoClaw & OpenClaw: NVIDIA partnered with the viral open-source project OpenClaw to launch NemoClaw, a software stack described as the "operating system for personal AI". 5. Physical AI & Robotics: A highlight of the show was a robotic version of Olaf from Disney's Frozen, powered by NVIDIA’s Newton Physics Engine. NVIDIA also unveiled Alpamayo, an open-source "chain-of-thought" reasoning model for Level 4 autonomous driving. 6. Space Computing: NVIDIA announced Vera Rubin Space-1, a dedicated platform designed to bring AI data centres into orbit. 7. The "Feynman" Roadmap: A first look at the 2028 architecture, named Feynman, which will feature the Rosa CPU and next-generation liquid processing units (LPUs). 8. Gaming & DLSS 5: NVIDIA teased DLSS 5, which uses neural rendering to create photorealistic, real-time graphics that "look like a film". 9. Sovereign AI Factories: Broad partnerships with nations and enterprises (like IBM and Nestlé) were showcased to build regional "AI Factories" that keep data and intelligence within sovereign boundaries.
→ View original post on X — @avikumart_, 2026-03-17 22:40 UTC
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Amazon Prime Members Gain Free 24/7 Access to Personal Health AI Agent
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Amazon just gave Prime members free 24/7 access to a personal health AI agent. It can interpret lab results, manage prescription renewals, and book appointments. Democratising healthcare access via AI. That's a big deal. #AI
→ View original post on X — @svenphilipsen, 2026-03-17 22:00 UTC
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Mistral Introduces Forge: Enterprise AI Models with Proprietary Knowledge
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Today, we’re introducing Forge, a system for enterprises to build frontier-grade AI models grounded in their proprietary knowledge.
— Mistral AI (@MistralAI) 17 mars 2026
🌎 Forge bridges the gap between generic AI and enterprise-specific needs. Instead of relying on broad, public data, organizations can train models… pic.twitter.com/4YQ3ADvixrToday, we’re introducing Forge, a system for enterprises to build frontier-grade AI models grounded in their proprietary knowledge. 🌎 Forge bridges the gap between generic AI and enterprise-specific needs. Instead of relying on broad, public data, organizations can train models that understand their internal context embedded within systems, workflows, and policies, aligning AI with their unique operations. We have already partnered with world-leading organizations, like ASML, DSO National Laboratories Singapore, Ericsson, European Space Agency, Home Team Science and Technology Agency (HTX) Singapore and Reply to train models on the proprietary data that powers their most complex systems and future-defining technologies.
→ View original post on X — @flashtweet, 2026-03-17 21:00 UTC