Sunday, March 22

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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...
India Budget 2026 commits $90B to AI infrastructure, recommends application-led approach over scale
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India Budget 2026 commits $90B to AI infrastructure, recommends application-led approach over scale

India's latest budget mentions AI 11 times - highest ever. Key commitments: $90B data centre investments Tax holiday till 2047 for cloud providers Semiconductor Mission 2.0 for domestic chips Policy preference for "smaller, sector-specific models" 890+ GenAI startups active now, deep-tech funding up 78%. Analysis: https://onllm.dev/blog/3-budget-2026 submitted by /u/prakersh [link] [comments]
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