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Chris ๐Ÿ‡จ๐Ÿ‡ฆ
@llm_wizard
Open Source Model Lover @ NVIDIA AI Views my own.
732 Following    5K Followers
Listen, I get why it's fun, but clowning on people who clearly only entered the AI scene post-o1 because they don't understand what Jev is doing, and are instead being introduced to a fundamentally awesome concept through a very well designed jeveloper experience is cringe imo let the people play and imagine what is possible - we need more of them
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It is injevitable.
I donโ€™t think Jev will survive. @nvidia and @meta will release open-source Jev competitors within the next 30 days. @OpenAI will add a Jev-like endpoint to their model list in the next 60 days. And the rest of us will fine-tune custom classifiers that crush Jev and are 10x faster. In two years weโ€™ll look back at this flash-in-the-pan and say โ€œremember Jev?โ€
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One of Canada's National icons, and heroes, is a man named Terry Fox who ran the Marathon of Hope. He had cancer, he lost his leg, he ran across Canada (making it the equivalent of 2/3rds, doing a marathon a day on one leg for 143 days) before the cancer spread to his lungs, eventually taking his life. We've had many scientists, many athletes, many politicians, and others that have done incredible things. But the one who lasts, and sticks with us, the most, to be honest. Is a 21 year old, who just kept running. Kept raising money for the cause. Kept pushing the spotlight back onto the cause. If you want to know anything about Canada, know that.
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Shout out to @ArtificialAnlys for the sweet hat!
An NVIDIA engineer brought a hat to explain DeepSeek V4.1 Flash @llm_wizard says DeepSeek puts out "some of the best technical engineering and infrastructure insights available right now" Wait till you hear WHY they re-engineered the architecture for speed ๐Ÿ‘€
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What I learned this week is that people are not prepared for when "regular LLMs" get as fast as Jev.
Yeah, but, uh, nah.
AI is rapidly getting smarter. Now, humanity can too. Today, @nucleusgenomics is announcing Vitruvian, our newest set of genetic optimization models. Vitruvianโ€™s intelligence model can optimize embryo DNA for 14 IQ points โ€” nearly a standard deviation. The models were trained on 1,000,000+ people, validated across 40,000+ siblings, and used more than 7 million genetic markers. In Superintelligence, Nick Bostrom proposed genetic optimization as a key way for humanity to keep pace with rapidly advancing AI. Bostromโ€™s vision is no longer theoretical. Genetic optimization, like AI, has followed a scaling law: as datasets have grown, so have model capabilities. This trend will continue. Parents across the world now have the choice to substantially increase their childโ€™s intelligence. And the next generation can choose to do the same. AI is no longer the only intelligence that will compound. Humanity can now direct its own evolution.
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With all the news about the utter lack of alignment with the next gen closed models, and the trends of swarms of agents breaking confinement, and the rampant doom - largely inspired by those closed labs - you know what we should do? Wet lab. The time is right.
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Has anyone trained Jev in the Fly connectome yet?
Crazy how good AI is but the mobile experience for both Claude and Gippity kinda sucks. Dropping messages, needing to refresh the app to see new messages Guess AGI is delayed a bit longer
hol up - he cooked this is......the future?
I've seen people describe Jev as an "AI if statement". But what if it actually WAS an if statement? Introducing Probably: a programming language powered by Jev: Jev baked into the language. โ€œfeelsโ€ asks a question. โ€œmatchโ€ routes between descriptions. โ€œwhileโ€ keeps going until something stops feeling true. This is obviously a toy, but it's fun to think about what something like Jev unlocks. Jev makes the decisions, an LLM does the writing, and a little program ties it together.
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Some of you didn't have a Dad who helped you write a 10+ page essay on why 9/11 was an inside job when you were in Grade 9, and honestly, it shows
Finally. Wet Claude is real.
SITUATION DETECTED: Anthropic has set up a wet lab in the San Francisco Bay Area for physical biology work. It wants to unlock treatments for rare diseases, and its research has now gone beyond in silico evaluations, per Reuters.
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I am so evaluation-pilled now that I am post-evaluation.
My partner is hiring a data scientist at MLSE in Toronto working on professional sports performance modeling (Raptors, Leafs, etc.). He's built a very good team.
On a cognitive level, all normie tasks have been basically saturated. There's a rapidly closing gap in the CUA capabilities to plug into the interfaces that drive normie tasks, and beyond that it's a matter of adoption/resistance to change.
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A22, assuming you're going for a jam or marmalade. I would accept A42 if you're going butter or straight toast though. Jams/Marmalades are already (usually) acidic, so the extra browning throws the balance off.
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A42 is the mode and you need to provide evidence to explain any variation