GSK didn't just adopt open source. They rebuilt how an organization relates to them. At Rev, Ben Arancibia shares how @GSK built internal R expertise, dismantled constraints, and created governance that made it stick. Rev PHL, May 12 RSVP: https://
hubs.ly/Q0498WVg0
RESEARCH
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GSK Transforms Open Source Adoption With Internal R Expertise
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Why AI Differs from Internet, Software, and Cloud Computing
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I want to reiterate this point as it is really important to understand WHY AI is not just a continuation of the internet, software, or the cloud. For the last 30 years, we have been conditioned to treat computing as an infinitely scalable, frictionless resource. We are now
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TRL v1 Released: 75+ Methods for Model Post-Training
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Today we’re releasing TRL v1. 75+ methods. SFT, DPO, GRPO, async RL to take advantage of the latest and greatest open-source. 6 years from first commit to the library that post-trains most open models in the world. Built to be future proof. pip install trl
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Energy and Efficiency Constraints in Exponential AI Demand Growth
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Extraordinary. Energy and efficiency are the constraints to an ever-growing (exponential) need for Intelligence. Demand is massively going to outpace supply.
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Pareto Chart Analysis for Local LLMs Performance
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this is the right Pareto chart for local LLMs, everything else is just pretending (they should use AAIIv4 instead of doing their own average but eh, nitpicks)
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AGI Definition and Multidimensional Intelligence Beyond Arc-AGI
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https://
agidefinition.ai is fine and i am a coauthor haven’t studied arc-agi-3 but intelligence is multidimensional and eg common sense is largely omitted -
Exponential Growth in AI: Understanding the Plateau Effect
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exponentials usually tail off. you should know that, xeno
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AGI is meaningful but not close says commenter
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agree on all counts, except the last. my view: AGI is meaningful, but not close.
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Medieval Medical Practices Validated by Modern Science Again
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Huh, another one of those things where medieval doctors might have been right all along.
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Industry Standards: Why 99% Accuracy Isn’t Enough in AI
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i haven’t read that specific report but read many from over the years and its always been apples vs oranges and i have written about that here frequently. 99% isn’t good enough, as everyone in the industry realizes.