Would be disappointing, no? I don't see people being that impressed with Sonnet 4.6 – not that it is bad but in line with others
INNOVATION
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Product Ideas Now Become AI Skills Built in Minutes
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Many of these product ideas are now just “skills” that you can make in minutes..
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LLMs Show Dramatic Performance Improvement on USAMO
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Performance of LLMs in USAMO 2026 vs 2025 Insane jump in just 1 year.
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Smart Waste Bin with Autonomous AI-Based Waste Segregation Technology
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Smart Waste Bin with #Autonomous #AI-Based Waste Segregation
— Ronald van Loon (@Ronald_vanLoon) 28 mars 2026
by @MrLaalpotato
#EmergingTech #Innovation #TechForGood #Technology pic.twitter.com/bWK1c9ynFESmart Waste Bin with #Autonomous #AI-Based Waste Segregation
by @amazingthings_ #EmergingTech #Innovation #TechForGood #Technology -

OpenAI Parameter Golf: Unverified Results Claim 42.7x Improvement
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Wild things are happening in OpenAI's Parameter Golf competition: best verified result is 1.09x the baseline, best claimed but unverified result is 42.7x better
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Token supply scarcity drives AI product margins and performance
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For the next couple years at least, the entire AI industry is going to be defined by this fact: demand is going to wildly outstrip supply, and so what matters is which companies / products have margin to pay for tokens. Those products will then rapidly improve because latency
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Intel B70 Quad Box Demo Raises Questions About Software Stack Fragility
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First, please don't project … Intel got @Level1Techs to demo this in a quad B70 box Tell me this isn't a fragile software stack & a difficult road ahead As I said, I would rather people direct their efforts into an OSS stack like Tenatorrsnt’s https://
forum.level1techs.com/t/intel-b70-la
unch-unboxed-and-tested/247873
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Weekend training agents with weekly learnings
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the weekend is for training your agents with the week's learnings
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Agentic AI: Social Intelligence Over Individual Progress
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Agentic AI may be the most important shift in AI architecture right now. A new Google report argues that every major intelligence explosion in human history was social, not individual. That matters because it challenges one of the deepest assumptions in AI: that progress
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V²Drop: Fast Large Vision-Language Models Without Accuracy Loss
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How can we make Large Vision-Language Models (LVLMs) lightning fast without sacrificing accuracy? Researchers from Sichuan University, EPIC Lab @ Shanghai Jiao Tong University, and Zhejiang University have found a breakthrough! They introduce V²Drop, a new technique that