Micah (@HowToUseAI_) header
Micah (@HowToUseAI_) profile picture

You can just build things

Virginia
Joined January 2014
Photo by Micah (@HowToUseAI_)Photo by Micah (@HowToUseAI_)Photo by Micah (@HowToUseAI_)Photo by Micah (@HowToUseAI_)Photo by Micah (@HowToUseAI_)Photo by Micah (@HowToUseAI_)Photo by Micah (@HowToUseAI_)Photo by Micah (@HowToUseAI_)Photo by Micah (@HowToUseAI_)Photo by Micah (@HowToUseAI_)
We live in uncertain yet incredible times. Since the "ChatGPT moment" two years ago, I've seen the writing on the wall as many of you have that AI will change humanity in a powerfully non-negotiable way. Our path forward isn't to resist this change—it's to harness these extraordinary advances to elevate human potential. Learning is the cornerstone business practice of all human development and advancement. To progress ourselves, we need to enhance and overhaul our learning system. The signal for this change has never been louder than it is today. In my work "Learn to Adapt" I outline how we can adapt the American education system to advance ourselves in this incoming decade of AI transformation. Read the full blueprint here -> tinyurl.com/LearntoAdapt I'm not just sharing this as food for thought—I'm directly inviting you to join a mission through the @AdaptEducation_ project. This rapid-development research project is funded through blockchain technology (Solana - $ADAPT). As we progress, every bit of funding drives research into methods, tools, curriculum development and more that will directly shape how AI transforms education. Promising experiments in AI-driven education are already happening today, and we need more of them to ensure scaled and operational success across the entire US. We must fail fast and push the edge of innovation to adapt our system quickly enough to avoid the potentially catastrophic side effects of this AI revolution. I'll continue to share my thoughts here on X about why and how we can adapt our learning system, exactly what this project will achieve, and more.
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Replying to @kgauravnm
Bad update (nerf) Just like Opus 5
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is Opus 5.5 nerfed? I just had Gemini 4 Argon analyze 1,400 Claude Code sessions and it found that on November 3, something definitely happened. the model name didn't change, but the way it does reasoning took a sharp turn.
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Replying to @samuel_hayden_
I guess if I just vibe code a really cool animation and dashboard I too can get millions of dollars in defense funding. Damn I’m in the wrong industry.
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Report to your nearest freedom reeducation camp
Introducing Arete-27B: Qwen3.8-27B, post-trained to reinforce Western values. Chinese open models are currently the strongest available, but they ship with state-aligned behavior in the weights. We built an 803-prompt eval across seven value categories, including freedom of expression, democracy, and privacy, and measured how often a model adopts China’s party line. After fine-tuning on roughly 53 million tokens, Arete-27B's propaganda rate fell from 22% to 1%, in line with the Western models we tested. Its Hermes Bench score shows no significant performance tradeoffs. The values in an open model are one fine-tune away. Our eval, weights, and training data are available now along with the full blog post: nousresearch.com/arete
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Replying to @a1SuperOnion
@grok tag 3 politicians who should care about and check out this post for the interest of the US
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Replying to @GamewithDave
This looks pretty sick.
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Codex sucks. Hermes and Claude Code are the only two serious harnesses for desktop agents IMO currently. (Have not explored deepseek yet)
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We absolutely have to provide an answer for the total lack of meaningful employment in the US. Yes.
Silicon Valley keeps celebrating how many jobs AI can eliminate. Young Americans aren't nearly as excited. 64% of Americans ages 18–29 consider AI replacing jobs a serious threat to their financial security. And the concern crosses political lines. 76% of young Democrats. 61% of young Republicans. 61% of young independents. The people building AI are talking about productivity. The people entering the workforce are worried about having a paycheck.
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Replying to @FelixDeSimone
And additionally, if you don't understand that when you say "Banning RSI" involves banning computers and math, you don't fundamentally understand anything that you're talking about.
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Replying to @FelixDeSimone
Dumb. I assure you, banning computers and math is not the move.
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Replying to @master_jpma
That's a good thing. Who wants to write code by hand? It's like wanting to pick cotton by hand
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Replying to @master_jpma
debug with ai, EZ
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Replying to @master_jpma
we love to see it
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Introducing Arete-27B: Qwen3.8-27B, post-trained to reinforce Western values. Chinese open models are currently the strongest available, but they ship with state-aligned behavior in the weights. We built an 803-prompt eval across seven value categories, including freedom of expression, democracy, and privacy, and measured how often a model adopts China’s party line. After fine-tuning on roughly 53 million tokens, Arete-27B's propaganda rate fell from 22% to 1%, in line with the Western models we tested. Its Hermes Bench score shows no significant performance tradeoffs. The values in an open model are one fine-tune away. Our eval, weights, and training data are available now along with the full blog post: nousresearch.com/arete
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Micah retweeted
Estoy bastante de acuerdo con lo que ha dicho Andrej Karpathy recientemente. Con la salida inminente de Qwen 4, Fable 5.5 y Astra 6.2, parece que cada vez celebramos más los modelos con un mayor número de parámetros. Es cierto que tenemos que celebrar que los modelos sean cada vez más inteligentes, pero creo que también deberíamos centrarnos en conseguir modelos con menos parámetros que sean capaces de igualar a otros mucho más grandes. Para mí, esa es la verdadera evolución de la IA.
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we have a winner for the most absurd AI startup ever this Peter Thiel backed company uses AI robots to stab fish in the brain so they taste better and last up to 3x longer it's called Shinkei and it modernizes a centuries-old Japanese technique dozens of Michelin-star restaurants are already lining up to buy the fish here's how it works: > the problem is when a fish gets caught, it usually just suffocates on the boat > that stress floods the meat with hormones and lactic acid, which hurts the flavor and texture > the old Japanese fix for this was spiking the fish through the brain right after the catch, which stops all that > but doing it by hand is impractical for most American fishing crews > so Shinkei built a fridge-sized robot that sits right on the boat's deck > the crew feeds in a fish and AI identifies the exact species, so it knows exactly where the brain and gills are > the robot then drives the spike through the brain and cuts near the gills in about 7 seconds > the fish goes into an ice slurry so the blood drains out > so the fish doesn't sit there stressing out, and that tasty flavor and texture is preserved example number 5,392,417 of how AI can be applied to literally anything
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