The problem with surveillance now is not the "someone could be watching you this moment" fear but the "everything you do is indexable and retrievable for whatever purposes the authorities deem necessary, eg topping up the pockets of the RIAA."

The NFT transaction making waves is straightforward tape painting, and institutions who should have at least one person on staff watching for that are falling for it hook, line, and sucker.

periodic reminder. wishlist norco for gnostic ditch ceremonies, sentient swamps, fugitive cosmic androids, antebellum petroleum labyrinths, psychoactive urinal crust, etc. it's a zine written in C# to reconstruct a forgotten memory of the flooded american south.

H.E. Cas Piancey Apart from a few notable exceptions media crypto coverage mostly fails to follow this journalism tenet: x.com/Klujypop/statu…

I don’t know why, but this reply has really stuck with me. “web3 is promising because I once wasn’t allowed to squat on 1,200 twitter usernames that I planned to flip for profit”. It’s just… so revealing

Them: “Here’s my perpetual motion machine!” Me: “It doesn’t work. You have to put more energy in than you get out.” T: “If you’re so smart, where’s YOUR perpetual motion machine?” M: “I don’t think it’s possible to make one.” T: “So you’re against free energy then. Got it.”

I’d phrase it as this: “Ponzi schemes have an unbridled urge to expand, and eventually the expansion of the fake books is so large that it should produce a visible change outside those books, but does not. This fact is often noticed casually by someone uninterested in scheme.”

running MPT-7B from . on CPU at 4 bit with ggml

ImageBind uses a *frozen* OpenCLIP (w/ different final projection) - so you can embed a cat pic and car horn noise with it, adjust the *unprojected* image emb to be closer to the audio (after projection), then put it through *CLIP*'s final layer instead to search the laion index

This new Stack Overflow AI is crazy powerful

i used to find this kind of thing intimidating - ML is so popular, competitive, etc but I realized how different every paper is. each presenter here traveled down one single esoteric rabbit hole high-dimensional spaces are so sparse; there's still plenty of room for your ideas

Why do 16k GPU jobs fail? The Llama3 paper has many cool details -- but notably, has a huge infrastructure section that covers how we parallelize, keep things reliable, etc. We hit an overall 90% effective-training-time. ai.meta.com/research/publi…

I feel stupid for even paying attention to this stuff in the first place. I should know better by now.

some of you were not raised on the classics and it shows

If I were a threat actor exfiltrating a ton of company data I’d set my user agent to “ChatGPT”

Today, we're launching AEC-Bench — the first open, multimodal agent benchmark for construction. 196 tasks across real construction documents. Full agent harness. Automated evaluation. Apache 2.0. We benchmarked Claude Code, Codex, and our own agent. Here's what we found 🧵