Solid State @Grimwar_
Somewhere close Joined February 2023-
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want more of you to say crazy shit at the edge of comprehensibility
Is ML actually limited to high dimensional interpolation of compressed data structures? What if reaching beyond training data (I.e., extrapolation/expansion) just requires a high-dimensional representation of extrapolation as a concept? In other words, ascension by meta-learning.
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This model has received a weirdly mixed reaction, I think mostly due to its size and the fact that there are already better models, but it's Apache 2.0 and the team seems committed to document a lot of their design decisions in public, which is fantastic. I'll be watching.
A lot of the insider knowledge on how to build an LLM has gone underground in the last 24 months. We are going to build #SnowflakeArctic in the open Model arch ablations, training and inference system performance, dataset and data composition ablations, post-training fun, big…
@EricWollberg Your startup is an OpenAI wrapper OpenAI is a Nvidia wrapper Nvidia is a TSMC wrapper TSMC is an ASML wrapper ASML is a Zeiss & Trumpf wrapper Zeiss is a glass wrapper Glass is a sand wrapper Sand is an erosion wrapper Erosion is an entropy wrapper Conclusion: Invest in entropy.
We are forcing sand to think summoning a machine God out of it
Buddhists be like: why is there nothing rather than something? 🤔
It arrives from the future, and we know it does this because it is prophecy, inscribed in the natural laws of the universe.
@7etsuo Finding error correcting codes inside the math of a super symmetry theory that does not match experimental observations. Interesting question about math and by extension simulation theory.
@emollick Am I right that companies haven't actually done a bigger training run than GPT-4 yet? It seems kinda silly to look at a bunch of companies all doing similar size runs to GPT-4, and then acting surprised when they don't magically exceed GPT-4 in ability.
🦙 Fine-tune Llama 3 with ORPO After a few experiments, I wrote a quick guide on how to fine-tune the new Llama 3 8B model using ORPO. Hope you'll like it! 🤗 Model: huggingface.co/mlabonne/OrpoL… 💻 Colab: colab.research.google.com/drive/1eHNWg9g… 📝 Article: huggingface.co/blog/mlabonne/…
@bowtiedwhitebat I see this point raised more and more often
@PropheticAI @EricWollberg @weslouis_ They will make us work from sleep
@EMostaque Alpha fold, alpha zero, alpha go, gemini, gemma , that thing that does math …
@hadiazouni @EMostaque Yeah also, weather, materials, and geometry (the math thing). I think they are honestly approaching superintelligence by doing ground models for the world, then they'll train it on it. It'll shock everyone eventually. No one else is doing this work and people dismiss it.
everyone I know who used to push polyamory a few years ago is now depressed, longing for a monogamous relationship, or both
My grandfather built motors that powered big machines. In a lab not so different from his workshop, my colleagues and I uncovered the assembly of the bacterial motor. Today, this discovery has been published in @NatureMicrobiol #MolecularNodes #Discovery nature.com/articles/s4156…
Both of these charts are getting something wrong. It's not that progress has slowed or the gap has shrunk, it's that we are reaching the limit of what MMLU can measure. We should never hit 100%, for example, because some percentage of MMLU answers are actually wrong.
Dueling charts on the future of AI. A lot depends on the trend line The first, by @GaryMarcus, measures improvements in only OpenAI’s released models. The open question is how good GPT-4.5 & 5 will be The second, by @maximelabonne, shows the broader trend for different models
Trends for United States
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