You can be repulsed by the general idea that there's a trillionaire while also being repulsed by the specific idea that it's Elon Musk.

holy shit, how did the attackers find a large enough uptime window to get in?

Chemtrails don't exist Turbo cancer doesn't exist Covid does exist Covid vaccines worked Ivermectin doesn't work for Covid Ivermectin doesn't work for cancer Vaccines eradicated smallpox Vaccines don't cause autism Thanks and have a wonderful day

"But here is what we found when we tested: We took the specific vulnerabilities Anthropic showcases in their announcement, isolated the relevant code, and ran them through small, cheap, open-weights models. Those models recovered much of the same analysis. Eight out of eight models detected Mythos's flagship FreeBSD exploit, including one with only 3.6 billion active parameters costing $0.11 per million tokens. A 5.1B-active open model recovered the core chain of the 27-year-old OpenBSD bug." aisle.com/blog/ai-cybersecur…

They found bugs in OpenBSD! The most secure application on the planet that I haven't heard of before!!! That's unbelievable and clearly a sign of AGI!!!! Well..

Remember IQ tests effectively measure how good you are with IQ tests.

Elon is building a spaceship that runs on White Power.

When it comes to scientific discovery, one thing LLMs are really good at is getting hobbyists to delude themselves into believing they've made a huge breakthrough on some longstanding problem or a theory of everything

Excited to be the 1,207th 😎 on @BackerKit for The Between. the-between.backerkit.com/co…

RT @GaryMarcus: This place is toxic. For the last seven years I warned you that LLMs and similar approaches would not lead us to AGI. Almo…

if only we had invested more money in neurosymbolic AI, earlier….

The narrative around LLMs is that they got better purely by scaling up pretraining *compute*. In reality, they got better by scaling up pretraining *data*, while compute is only a means to the end of cramming more data into the model. Data is the fundamental bottleneck. You can't scale up pretraining compute without more data. And so far this data has been chiefly human-generated -- over 20,000 people have been employed full-time for the past few years to provide annotations to train LLMs on. Even when the data is coming from RL envs, the envs still had to be purposely handcrafted by humans. And that's the fundamental bottleneck here: these models are completely dependent on human output. They are an interpolative database of what we put into them.

Is there something in the water in America 🤔 im not kidding🤔 does Republicans eat or drink something that "normal" people dont drink or eat🤔 because from a Norwegian point of view it seems like millions of Americans Lost all contact with reality🤷 gone totally bat shit crazy🤷

Da will jemand ganz dringend Afd Mitglied werden.

Es will halt keiner einfach Mal so 50-100 Milliarden investieren. Wäre prinzipiell in Europa oder Deutschland kein Problem. Wir haben riesige Fabriken und mit die schnellsten Großrechner.

A man with a sixteen year long heroin addiction told you that Tylenol causes autism, and you believed it like a dumbass

Auch deutsche Beipackzettel sind da vorsichtig.

Regarding Tylenol: all pharmaceutical companies say don't take our drugs during pregnancy, because nobody will take the risk. #TYLENOL

isn’t it crazy that republicans can link tylenol to autism but not guns to mass shootings

die Welt war objektiv besser, als verstrahlte Podcaster noch ausschließlich Internetfreaks waren und nicht Grund für mehrtägige Staatstrauer in den USA