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can you link to the overall approach or references for your work?


Can you share the name of the company or more product details? Curious to know more about what solutions in this space look like


And that’s not quantized at all, correct?

If so, then the parent comment’s sentiment holds true…. Exciting stuff.


Solid use case for Saul Goodman LLM alignment


What forum are you referring to?



What’s a Notch?


Notch is Markus Presson, the creator of Minecraft. He got $2.5 billion in cash from Microsoft when he sold it. In the years since he had a whole lot of controversial tweets, but that didn't' seem to affect him due to his wealth.


Awesome! Did you document your teardown and guitar amp build anywhere? What a unique project. Would love to see it.


Classic. This was a common failure mode for the 360 as well. Used to fix friends 360s that had the red ring of death by tearing them down, tightening the braces underneath the heat sink, and adding an additional case fan.

Never actually had to escalate to reflowing the BGA mount underneath the GPU but recall tutorials of how to do that in a consumer oven.. thank goodness I never tried that one at home.


The real hack with the 360 with that issue was to wrap it in towels and turn it on so it'd cook and reflow itself. Absolutely bonkers that trick worked for anyone at all, let alone for enough people for it to be a "thing".


What a fascinating read, thanks for sharing that link.


That paper is incredible. It’s crazy that they found 41% of all DN connections receive recurrent feedback from a downstream neuron.

Some things that may be commonplace understanding in the neuroscience community but that I found interesting:

- speculation that deep recurrence in the learning center is a mechanism for working memory, and allows for multiple high-level cognitive processes to occur simultaneously

- the description of how a variety of neurons in the learning center categorize stimuli, a different group controls the learned value of inputs (valence?), and then another group integrates the valences of both the learned and innate neuron groups for the given stimulus category

Oh, and that most of the neurons were engaged in multi-modal activity


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