Junior-SWE squeeze is real, but the creative-architect layer just got more valuable, not less.
AI
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Token Price Stability Undermined by Tokenizer Drift
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Love that you built the counter, per-token price stability is a lie the moment tokenizer behavior drifts.
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Harnesses gaining equal recognition with AI models in surveys
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Harnesses finally getting equal billing with models in survey form, this was overdue.
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Prompting-Only Fix Improves Distribution Faithfulness Beyond Temperature
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A prompting-only fix for distribution faithfulness is a really clean result, temperature knobs were never enough haha.
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From 4o Vision Demo to Usable Computer Use: A Two-Year Journey
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Took 2 years from the 4o Vision demo to reach usable computer use, way harder than the Twitter hype implied.
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Open Memory Needed to Prevent AI App Store Monopoly Pattern
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Open memory or this becomes the next app-store pattern all over again.
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Breaking Down Scaling Laws in AI Research
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The scaling-laws-as-one-thing conflation is everywhere, good to see someone finally breaking it out properly.
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Distribution and Trust: Keys to AI Capability Deployment
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6 months sounds about right, and most of that isn't raw capability, it's distribution and trust.
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Hugging Face Ecosystem Powers SOTA ML Training Agents
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Love this work from Aksel and the post-training team at Hugging Face!
— Thomas Wolf (@Thom_Wolf) 21 avril 2026
Turns out the HF ecosystem (papers, datasets, models all accessible through CLI, skills and md files) is perfect for running SOTA ML agents: agents that can train any type of AI model to top performance.
A… https://t.co/uakFTU5oD0Love this work from Aksel and the post-training team at Hugging Face! Turns out the HF ecosystem (papers, datasets, models all accessible through CLI, skills and md files) is perfect for running SOTA ML agents: agents that can train any type of AI model to top performance. A
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Predictive Asset Maintenance: AI Starting Point for Industrial IoT
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Why predictive asset maintenance as the starting point? It's common across industries and easy to measure: downtime and asset availability. The architecture scales to other use cases from there. Partner content with @HighByteInc. #highbyte_iiot #Hm26 pic.twitter.com/yYbos2HaIa
— Lucian Fogoros (@fogoros) 21 avril 2026Why predictive asset maintenance as the starting point? It's common across industries and easy to measure: downtime and asset availability. The architecture scales to other use cases from there. Partner content with @HighByteInc
. #highbyte_iiot #Hm26