Transcript: I don't know if I mentioned it yesterday, but one of the really funny things about quantizing that model is my upload speed is two meg per second. So I literally went to Jordan's house with two flash drives in my laptop and uploaded the models from his house. That's just so funny to me. Like, bro. I mean, I don't know how often I'm gonna do this, but if it becomes anything even remotely often, I'm gonna have to figure out a better solution than driving over to Jordan's house and using his internet. So, yeah.
I had an excellent call with Jordan, which I'll discuss in more detail later. Unexpectedly, I succeeded in quantizing lava, and the initial results look promising despite the script being rough. It seems feasible that I might run something akin to GPT-4 style vision captioning locally. I'm excited to upload these quantized models to see the outcomes and I plan to head to Jordan's house to upload more models soon.
I invested the day delving into quantization, writing a script, and successfully running it. Afterwards, I visited Jordan's house to upload a massive 100 gigabytes of files. I'm hopeful that people will find these files useful and that there will be at least a few downloads. My aim is to further test the script on more images and present the outcomes.
I intended to note last night that I might be overly focused on the technology aspect. Jordan, who has confirmed my significant progress, joined me for burritos and I updated him on my work. I value Jordan's assistance and am grateful for his help. My aim is to get the product into users' hands for feedback, despite any associated anxiety.
I had a profound two-hour call with Jordan at 9 a.m., discussing a range of topics including the exciting potential of language models, which he called "word calculators." Jordan and I agreed on the importance of solidifying a good intention to create a compelling demo that deeply explores the vision of our project. We also touched on self-expression and the value of using the platform as a "playground" to honestly express oneself without worrying about the audience. Lastly, we delved into the dynamic nature of intentions and how they evolve over time, along with the idea that AI could support individuals by acting as an executive function override during moments of weakness.
The speaker expresses genuine enjoyment in learning about semiconductors and their history. They plan to relax and possibly drive and climb, highlighting a contrast to their intellectual interests. They reflect on listening to Morris Chang and Jensen Huang speak 15 years ago during an induction into the Computer History Museum. They feel grateful for the internet, which provides access to such interviews, and for the opportunity to gain insights from figures like Morris and Jensen, considering it a sign of amazing times.
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The speaker is reflecting on their experience with making audio burrito posts, noting that it often requires multiple attempts to get into the correct mindset—similar to drafting written posts. They're grappling with the challenge of monologuing without a clear understanding of the audience, as they are aware that at least John and CJ will hear it, but uncertainty about the wider audience affects their ability to communicate effectively. This creates a 'contextual membrane shakiness' as the speaker finds the lack of audience boundaries difficult to navigate, which they recognize may vary among different people. The speaker concludes by deciding to end the current note and start a new one.
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Pascal, from Brooklyn, is excited to engage with a new social network and a burrito he just tried. He's currently experiencing winter weather and has consumed a weed gummy before diving into work on the Tanaki app with multiplayer live video features. He plans to get a massage to unwind physically and mentally. Pascal hopes for a feature that enables connection with his audience to avoid feeling isolated and looks forward to interacting with others on the platform.