Frosty40 retweetledi
Frosty40
2.6K posts
Frosty40
@FrostForger
builder focused on tools and AI systems.
Magic Kingdom Katılım Şubat 2011
845 Takip Edilen177 Takipçiler
Im trying to build prediction into the goal function of LeWM models. But honestly its turning into micro-models that feed back into a LeWM and... idk its awesome. nobody paying me or supporting my research though. If you want to, and care about LeWM you can. Ill still be here doing it.
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Pitch us a benchmark or eval technique. We'll fund you to build it.
We're opening applications for the Vals Fellowship. 3–6 months working on the hardest open problems in AI evaluation, with the resources to actually solve them.
What you get:
- Unlimited API credits + budget capacity for GPUs and human data
- Vals’ evaluation infrastructure
- $1,000–2,500 / week stipend
- A network of evals researchers across frontier labs and academia
Location: Both remote / in-person in SF applications will be considered
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@QBlazedog61029J incredible. no need to be a mystic to fall in love with nature and what we are. absolutley incredible
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Most people know the pineal gland as the brain’s light-cycle regulator because it participates in melatonin signaling. What they usually do not know is that the pineal gland also contains microscopic biomineral structures. Not metaphorical crystals. Actual calcium-based microstructures. The important distinction is this: common pineal “brain sand” is usually discussed as calcified hydroxyapatite-type material, but separate studies have reported calcite microcrystals in human pineal tissue, with sizes below roughly 20 micrometers. That matters because calcite is not just inert chalk. It is an ordered crystal lattice.
Now do not jump straight into mysticism. The rigorous reading is better. A crystal inside biological tissue is a boundary-condition object. It has geometry, symmetry, dielectric response, optical response, and possibly weak electromechanical coupling depending on defects, twinning, and local structure. The reported pineal calcite microcrystals have been discussed as possible second-harmonic generators and possible piezoelectric transducers, but “possible” is the operative word. That means this is not proof of consciousness antennas, psychic reception, or cosmic Wi-Fi. It means the brain may contain a tiny mineral phase capable of interacting with electromagnetic, mechanical, and optical fields in ways ordinary soft tissue does not.
That is the real story: biology quietly grows crystal lattices inside a neuroendocrine organ. The pineal gland is not magical because it has crystals. It is scientifically interesting because a living system placed ordered mineral geometry inside a biochemical timing organ. If those crystals couple even weakly to local fields, pressure, charge separation, or photon conversion, then the correct question is not “is this mystical?” The correct question is: what is the transfer function?
And that is where the math begins.
Sourced and enhanced these photos with permission.
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@bneyshabur Hey Ben, I think it sounds amazing. Would love to be a part of a team democratizing science. Im still inspired by the old seti research program and Believe in the dream of collaborative science! Best on the journey!
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We wrote a tiny bit about our vision here:
mirendil.com
We are building a lean yet focused team to work on it. If you find this vision exciting, reach out!
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We have been heads down but wanted to share a bit about what we are doing 🧵
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A decade ago, @elonmusk thought DeepMind winning the AI race was close to inevitable. It is not over. There are many more twists in this story, and instead of watching the future unfold before our eyes, we should build the future we want.
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It doesn’t need to be this way. It should not be this way. It should not be OpenAI/Anthropic deciding which fields get accelerated. To truly accelerate science and technology, self-accelerating AI R&D must be democratized. In fact, this is the exact motivation behind Mirendil.
will depue@willdepue
academics are unprepared for the coming world where much scientific progress is majorly a function of inference compute. whether OpenAI points the Eye of Stargate at your particular field will decide its acceleration. talent will leach away into the labs. it's already begun
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DeepSeek V4 PRO 2 bit quants, on a baroque music whose copyright expired, with the noise of the vynil record in the background, implements a small C compiler while running on a Mac Studio M3 ultra with 512gb of RAM.
youtu.be/H5cvtoSxdxI?is…
YouTube
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Frosty40 retweetledi
WAR GAMES (1983)
Creating the war room climax with practical effects:
• 12 carbon arc film projectors running in sync
• 84 video monitors in sync with the projectors
• the brightest strobe light system ever built
• All controlled by an Apple II computer
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@ylecun @francoisfleuret Oh... this is Mr cun... Im exclusively working on the LeWM algo sir. Ty.
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IMO a researcher studies a problem that may not be solvable, while an engineer solves a problem that is considered solvable.
Yacine Mahdid@yacinelearning
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1000% focused professionals no longer exist int hese spaces. it was GDesigners (not as focused as you, the shitty ones) and consultant types + AI has homogenized brands into a homogony of horrors, corporate identities all following each other based on metrics, no human soul in the mix, an aggregate, safe, and disgusting.
U.S. Graphics Company@usgraphics
I don't know how to properly explain this but graphics of MCM era upto the 90s appreciated a kind of expressive abstraction in marketing that's entirely missing in today's fast-fashion literal first-order stuff. If applied to mostly hard logic, empirical and objective fields like engineering and science; the result is an aesthetic that elevates both high-art and high-engineering to a spectacular degree. Franz Kline meets Richard Feynman. Barnett Newmann meets Claude Shannon. Extremely high IQ aesthetic and IMO peak marketing for an intellectually curious audience. Two arresting examples as follows:
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What is the future of human excellence in the era of AI automation?
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I think the play is to have multiple tiers of hardware, each for a different use-case.
Instead of focusing on having 1 huge model than can do it all, we can have vision, audio, media gen, agent, recursive problem solving, security etc.. all small and focused.
Cheaper better
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I'll ask for a grant when I actually get legit progress on my model and need compute. maybe, if needed. The assumption is you guys want to further good research that's already going somewhere. Its not about the researcher, its about the application. This is how I would assume you are operating... To not flow with this would be another sniff test that smells off
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Adding sloppy copy & paste line breaks to the AI smell list
Greg Kamradt@GregKamradt
My current smells of AI slop/writing: 1. Use of em dash "—". I haven't seen anyone seriously use this over a hyphen "-". Double points for wrapping — or making double points in a single sentence — give it away 2. Making a statement and then colon: like this 3. More subtle, but tone that is off-character for the authors
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@francoisfleuret I crave human conversation in regards to LLM architecture. Its not about effeciency evem its about local recognition and a shared experience. I am only on X to find and connect to humans about this shared experience and our knowledge together.
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Hot take: only the dumb gossipy topics will remain in human-human discussions. For anything else, you'll be better off talking to an AI.
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Sir, I dropped out freshman, year, started my own business the whoel time, etc etc... I sincerely wish I had not droppped out of english to do game design. I wish I had a PHD in mathematics and ALSO did these things. STEM is fundamental even if your a grinder. I personally couldtn take the slow pace of development, but god damn do i wish I hd more control over a differential equation, my kids future depend on true mastery of knowledgde, not testosterone fueled founder energy. Its not one or the other.
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@elonmusk @iScienceLuvr Finishing PhD is an anti-signal in many cases.
If you didn't learn to go to drop out go to industry and build real things, then you are probably too theory-pilled
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This sort of mindset is probably why xAI failed to catch up to other frontier labs.
If he wants to make SpaceXAI into a frontier lab, hope he changes his mindset.
Though being a cloud provider is probably something they can easily excel in anyway lol (Colossus is impressive!)
Parmita Mishra@parmita
This is the dumbest thing I’ve ever seen in my life
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There will be 3 kinds of scientists in the coming years:
1. The Blenderists, who cover their eyes to ignore the impact of AI.
2. AI scalers like OP(?), who think everything can be solved by making GPUs go brrr.
3. Actual researchers who embrace the tech and explore new frontiers.
will depue@willdepue
academics are unprepared for the coming world where much scientific progress is majorly a function of inference compute. whether OpenAI points the Eye of Stargate at your particular field will decide its acceleration. talent will leach away into the labs. it's already begun
English