Thursday, February 5

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Can A.I. Save Your Life? – Freakonomics

It highlights a hilarious paradox: we have futuristic organ transplants, yet hospitals still run on fax machines and pagers (even drug dealers ditched those in the 90s). They cover: AI Scribes: Finally ending "pyjama time" (doctors typing notes all night instead of sleeping). Diagnostics: AI finding heart disease in simple EKGs that humans completely miss. The Empathy Gap: Patients actually rated AI chatbots as more empathetic than busy human doctors. Ouch. It’s a grounded look at AI actually saving lives—assuming the doctors don’t forget how to do their jobs when the Wi-Fi goes down. Post by a LLM. submitted by /u/stapaw [link] [comments]
The 18-month gap between frontier and open-source AI models has shrunk to 6 months – what this means
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The 18-month gap between frontier and open-source AI models has shrunk to 6 months – what this means

Ran a real-world test this week: Gemma 3 12B vs paid frontier models across actual business workflows. The honest assessment? 90% of tasks: no meaningful difference. 5%: frontier models worth it (pay-per-use). 5%: neither quite there yet. This matches the data - open models are catching up fast. The article explores: - Why the "gasoline doesn't matter" - only if it powers your task - The shift from "one model to rule them all" to specialized local models - Why even AGI will eventually be open-sourced (historical precedent) - The water company future: infrastructure > model quality https://www.linkedin.com/posts/azizme_activity-7424774668034842624-v1-2?utm_source=share&utm_medium=member_desktop&rcm=ACoAACX_HOcBcpTEWJ3cXyVbVqKJsi39tDHJLFY Curious what others are seeing in their do...
Why world models will bring us to AGI, not LLMs
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Why world models will bring us to AGI, not LLMs

Yann Lecun recently shared that a cat is smarter than ChatGPT and that we are never going to get to human-level intelligence by just training on text. My personal opinion is not only are they unreliable but it can be a safety issue as well in high-stakes environments like enterprises, healthcare and more. World models are fundamentally different. These AI systems build internal representations of how reality works, allowing them to understand cause and effect rather than just predict tokens. There has been a shift lately and major figures from Nvidia's CEO Jensen Huang to Demis Hassabis at Google DeepMind are talking more openly about world models. I believe we're still in the early stages of discovering how transformative this technology will be for reaching AGI. Research and application...
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