Healthcare innovation is moving from fragmented advances to coordinated improvements, where technology enhances every stage of care through practical, data-informed applications. Microblog @antgrasso #Healthcare #DigitalTransformation #HealthTech #DigitalHealth
SOFTWARE
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OpenAI’s New AI Agent: 6 Powerful Demos
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OpenAI just dropped the most powerful AI agent yet. It can: → Browses the web
→ Runs real code
→ Logs into apps
→ Finishes tasks solo Here are 6 wild demos of ChatGPT agent: -

Fast LoRA Training and Hugging Face Export Guide
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Kontext training: 1,000 steps, ~3m50, costs about $2.80 – get a fast always-on Replicate model to run your lora
– export directly to Hugging Face -
Agent Mode outperforms team tasks
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Just gave Agent Mode three tasks my team usually handles. It crushed all of them. This isn’t GPT-5, but it feels like GPT-5.
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Kimi K2 : Open AI Agentic Models Arrive
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You can try Kimi K2 here → https://
Kimi.ai API & open weights → https://
platform.moonshot.ai The age of open agentic models has arrived and Kimi K2 might be leading it. -
Kimi K2: Agentic AI for coding and reasoning
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Unlike most LLMs, Kimi K2 was trained for agentic behavior: Calls APIs Executes chains Understands tools Writes complex apps Supports structured thinking This isn't a chatbot. It's a full-on coding + reasoning machine.
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Kimi K2: Open AI Rivaling Claude 4
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Kimi K2 specs are wild: → 1T total / 32B active MoE
→ SOTA on SWE Bench, Tau2, AceBench
→ Strong in code + multi-step tasks
→ $0.15–2.50 per million tokens via API
→ Open weights + GitHub + playground It rivals Claude 4 in coding but it's free + open. -
Kimi K2: Open-Source LLM Dominates Code & Agents
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Kimi k2 is a terrifyingly good open-source model. Its really good at code, agents, and real-world tasks. It’s open, fast, and beats most LLMs in key benchmarks. I built 3 working apps with it in a day:
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Portable User Preferences and AI Memory Across Tools
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i hope we end up in a place where we can easily port and combine user preferences and other memories that ai tools learn through our interactions
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Reducing Page Weight: Ditching Unoptimized Speaker Photos
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In a beautiful cautionary tale about the dangers of vibe-coding on a phone, it turns out the page was 130MB because it included unoptimized photos of all 170+ speakers! I've ditched those now, reducing the page weight to a much less horrifying 93.58KB
