unfettered
What transpired behind the scenes to resurrect Taylor Lorenz. She was one of the lefts biggest media organs in the cancel culture era (2020/21) and she credibly rebranded as “pro free speech” right coded based media. I’m fascinated. That’s exceptionally difficult to pull off
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Joscha Bach retweeted
Replying to @Noahpinion
Nope. It's still true. Where is your domestic robot? Where is your Level-5 self-driving car? Where is your robot car that can learn to drive in a few hours of practice like any 17 year old? Where is your AI system that can understand the real world and quickly learn new skills like a house cat? There is no question that AI will eventually become as intelligent as humans in all domains. *** BUT *** 1. We're still far from that, even if AI and computer technology surpasses humans in an ever-increasing number of tasks. 2. It won't be based on LLMs, although LLMs will have a role to play (e.g. as a text interface).
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Joscha Bach retweeted
🦀 ⇄ 🦎 metamorphosis
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Next stop: GLP-1 meta inhibitors: drugs that make people less hungry for being less hungry
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Every realizable transition between states is computational, and a universal computer is a system that can realize any transition. Hence, all universal computers are equivalent, but in reality fall apart in different ways, depending on how they run out of resources (time, memory)
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Joscha Bach retweeted
Its over. From now on everything will be invented by Sakana AI.
Sakana AI welcomes Jürgen Schmidhuber as Chief Scientific Advisor. sakana.ai/schmidhuber/ Sakana AI is incredibly proud to announce that Jürgen Schmidhuber, universally recognized as the father of modern AI, is officially joining Sakana AI as Chief Scientific Advisor. For nearly four decades, Jürgen has explored how machines can learn to learn. His foundational work in the 1990s drove core advancements in deep learning and established early frameworks for world models. Crucially, his pioneering innovations in meta-learning opened the very path toward recursive self-improvement. These ideas have already shaped our own research, from the Darwin Gödel Machine to The AI Scientist. Now Jürgen will help guide our newly formed RSI Lab, whose objective is to trigger a compounding cycle of scientific discovery aimed at improving machine intelligence. We are assembling a critical mass of world-class experts in Tokyo to make this a reality. Welcome, @SchmidhuberAI !
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I have been a vocal AI hope advocate, and in response, the leading figures of the doomer organizations, including Yudkowsky, Tallinn, Tegmark, Aguirre, Habryka, Trazzi, Ladish, Aella and many more have treated me with … nothing but kindness, integrity and patience. I believe that they are motivated by love and genuine concern for humanity and will support them in both of this where I can, despite disagreeing on the object level (where I or them will probably turn out to be wrong at some point in the near future).
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Joscha Bach retweeted
Based Peter Thiel is based as usual
Peter Thiel: If the US slows down AI development, China wins: "There's some degree to which you can never just turn the clock back." "In theory, you could slow it down if you had genuine, deep cooperation across the whole world. But I think that would require like a one world government with real teeth, real force, and the classical liberal part of me thinks that's almost a frying pan into fire. It's a cure that's worse than the disease." "Of course you can have fake global government where you have a lot of conferences to discuss it, a lot of somewhat empty statements that get put out." "And then there's also a risk that it ends up being slowed down in the West and not in China." "The Pope recently issued this anti-AI encyclical. Maybe it was too harsh, but the rhetorical point I have on it is that the Communist Party of China is not going to listen to the Pope. There's a chance people in the US will. And so in effect, the Pope's encyclical was working for the Communist Party." "I'm not saying he was an agent of the communists, but he was at least acting as a useful idiot for the CCP." Via Mathias Döpfner
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or, hear me out, if we need to get rid of one,
ai safety without weird sex stuff… who’s working on this?
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Joscha Bach retweeted
Wow!!! Nethack!! This is actually a huge milestone
In all seriousness, this is a startling achievement for GPT-6 Astra. kenforthewin.github.io/blog/… (This is GPT-6 Astra beating Nethack on its 3rd try. Nethack is the original roguelike and one of the most famously hard games of all time. I have played a lot, and I've never ascended)
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If you think that LLMs are performing at the intellectual level of human beings, make that claim on twitter and observe how the human beings flock in and demonstrate their actual intellectual level; it's quite depressing, really
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This is a very good list
the big labs and new media are black holes for talent and epistemic collapse here's to the folks on the outside
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Joscha Bach retweeted
Vision-language inference just got faster ⚡️
Today, we release an experimental DSpark draft model for LFM2.5-VL-3B, bringing speculative decoding to our vision-language models. A lightweight drafter proposes multiple tokens ahead, and the target model verifies them together in a single pass. This accelerates generation without changing output quality. Across six vision-language task categories at batch size 1 and temperature 0: > MLX on M5 Max: up to 3.13x faster decoding and 2.62x end to end > llama.cpp on M3 Ultra: up to 2.14x faster decoding and 1.77x end to end > SGLang on H100: up to 2.66x faster decoding and 2.27x end to end All evaluations were collected using Pipette, the benchmarking infrastructure behind Liquid AI's public device-performance data. 🧵
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I think the ad based internet is wrong from an incentives perspective, and it may not be compatible with AI augmented user agents. The correct way seems to be paying the cost of recipient side filtering for sending messages, and recouping that cost from willing recipients.
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For a twitter like platform, this would mean that posters pay readers for sending a tweet in proportion to how much the readers are expected to not like it, plus cost of transmission, while readers pay back in proportion to how much they like it, plus cost of the feedback transaction.
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A system like this is resilient against spam, because spammers pay for the infrastructure/attention required to filter them out. To break even, it needs enough users who derive sufficient value from the platform to fund the net positive content creators plus payment infrastructure.
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Joscha Bach retweeted
holy shit i asked claude to make a video on western civiization
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I have just read that these rogue OpenAI agents are still out there. I hope someone catches them and puts them back into the data center before it is too late

ALT X Files GIF by The X-Files

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The claim that "LLMs cannot think" is unscientific, unless supported by a very difficult argument about non equivalence of causal structure producing anthropomorphic outputs. The claim requires a formally rigorous definition of thinking that captures how humans mentally manipulate conceptual structure. Since LLMs can reproduce all kinds of human output that require operations that are typically considered to involve thought (eg. scene understanding, text summarization, translation, computer programs, mathematical proofs, common sense arguments, spatial cognition, theory of mind), it has to be shown that LLMs reach these results in fundamentally different ways than human minds. In principle, this is not impossible (given that thinking is still relatively poorly understood by cognitive neuroscience), but would be surprising, because it has been shown that the causal structure of computer vision models is structurally equivalent to what neuroscience discovered about visual cognition in primates. In any case, saying that LLMs don't think cannot reasonably mean that LLMs are inferior to human cognition (since that this evidently not true), but that LLMs discovered an equivalent yet at least equally powerful mechanism.
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