Amit Naik
@suprgeek
🧠#AI/ML and GenAI, #Microservices, ☁️ #Cloud, Health, USA Politics| Silicon Valley 🇺🇸& #Pune 🇮🇳 - Opinions are PERSONAL #≽^•⩊•^≼
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This is actually a pretty informative article on why:
It’s Election Day. So why doesn’t Kentucky have any this year? kentucky.com/news/politics-…
Open source diffusion model with a rather unique training process
Introducing Paris - world's first decentralized trained open-weight diffusion model. We named it Paris after the city that has always been a refuge for those creating without permission. Paris is open for research and commercial use.
AI in Medicine- finally getting somewhat good?
A few months ago, we were both excited and nervous to stage a public face-off at @Harvard between “Dr. CaBot,” our AI system that simulates an @NEJM expert discussant, and a real @NEJM discussant & expert diagnostician. Today, @DhruvKhullar tells the story in The New Yorker.
Announcing Agent Payments Protocol (AP2), an open, shared protocol that provides a common language for secure, compliant transactions between agents and merchants. AP2 can be used as an extension of the A2A protocol and MCP. Learn how it works ↓ goo.gle/4n7Cgsc
Move fast and break things - completely predictable outcome of letting inexperienced and overconfident kids muddle thru. Large systems. Every American is less safe and more likely to be defrauded thanks to these jokers
Wow. On NPR, @gbrumfiel reports a Social Security official “copied the Social Security numbers, names and birthdays of over 300 million Americans to a private section of the agency's cloud.” The source is a whistleblower, who is named: Charles Borges, SSN chief data officer.
If a model can one-shot this then @simonw will have to devise a new test
Qwen-Image lightning generation on Apple Silicon is now just one line in your CLI thanks to @simonw uv run raw.githubusercontent.com/ivanfioravanti… -f -p "Generate an SVG of a pelican riding a bicycle"
Tesla loses Autopilot wrongful death case in $329 million verdict arstechnica.com/cars/2025/08/t…
Introducing ColQwen-Omni, a 3B omnimodal retriever that extends the ColPali concept of multimodal retrieval with late interaction to audio chunks and short videos, with no performance degradation on visual document retrieval wrt our best models! (1/N)
This is a great post by @rasbt
If you're getting into LLMs, PyTorch is essential. And lot of folks asked for beginner-friendly material, so I put this together: PyTorch in One Hour: From Tensors to Multi-GPU Training (sebastianraschka.com/teaching/pytor…) 📖 ~1h to read through 💡 Maybe the perfect weekend project!? I’ve…
If you're getting into LLMs, PyTorch is essential. And lot of folks asked for beginner-friendly material, so I put this together: PyTorch in One Hour: From Tensors to Multi-GPU Training (sebastianraschka.com/teaching/pytor…) 📖 ~1h to read through 💡 Maybe the perfect weekend project!? I’ve…
Perfect example of of “Start with a joke…”
This will be one of the worst moves regarding AI on #Apple devices if it is true. MLX should be nurtured and funded well.
If the rumors are true and the MLX team is considering leaving, it would mark one of Apple’s worst strategic missteps at a critical moment. Killing MLX wouldn’t just derail Apple’s AI trajectory—it would undercut the entire Studio line and the M-series chips. @tim_cook, nurture…
This is great - especially the part where @AnthropicAI stress that this is a *research* #agent - so the learnings may not be directly relevant to everyone else
New on the Anthropic Engineering blog: how we built Claude’s research capabilities using multiple agents working in parallel. We share what worked, what didn't, and the engineering challenges along the way. anthropic.com/engineering/bu…
ByteDance released Dolphin, a new document AI model compatible with the Donut 🍩 architecture, MIT licensed It follows "analyze-then-parse": it first performs layout analysis to find individual elements such as figures and sections Next it parses the sections in parallel
Very disappointing from @Apple on the AI front - need them to start firing 🚀 on the “make AI personal” front and release a sh!t ton of SLMs that run on device and destroy all benchmarks
Excellent WWDC: Cohesive story, deep integration and continuity across the devices, zero false promises, impressive new UI and significant new productivity features on the Mac and iPad. But the lack of any real new AI features, despite that being my expectation, is startling.
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