Anders Eidesvik

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Anders Eidesvik

Anders Eidesvik

@AEidesvik

Journalism student at Stanford interested in AI and solving Gell-Mann amnesia. Check out my work at https://t.co/owOIVR2FES

Stanford Katılım Haziran 2020
2.3K Takip Edilen259 Takipçiler
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Anders Eidesvik
Anders Eidesvik@AEidesvik·
Jensen Huang came to @CS153Systems yesterday. Guess I this how Bieber Fever felt
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Anders Eidesvik
Anders Eidesvik@AEidesvik·
The Duality of SF. Photo: Sandrine
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Chris
Chris@chatgpt21·
We are genuinely cooked. I’m one of the most up-to-date people in on planet Earth when it comes to AI. But I will admit I was sort of mindlessly scrolling and I came across this video and I didn’t even think it was AI tell I realized this never happened in breaking bad.
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Kevin Roose
Kevin Roose@kevinroose·
i am begging academics to study AI capabilities using frontier models. the models used in this study (which is going to be cited for years as proof that "AI is bad at health advice") are GPT-4o, Llama 3, and Command R+, two obsolete models and one i've never heard of.
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Kevin Roose
Kevin Roose@kevinroose·
i follow AI adoption pretty closely, and i have never seen such a yawning inside/outside gap. people in SF are putting multi-agent claudeswarms in charge of their lives, consulting chatbots before every decision, wireheading to a degree only sci-fi writers dared to imagine. people elsewhere are still trying to get approval to use Copilot in Teams, if they're using AI at all. it's possible the early adopter bubble i'm in has always been this intense, but there seems to be a cultural takeoff happening in addition to the technical one. not ideal!
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Anders Eidesvik
Anders Eidesvik@AEidesvik·
I interviewed an expert on Waymos inside a Waymo
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Chris Paxton
Chris Paxton@chris_j_paxton·
Always important to remember that a lot of these robots are "faking" the humanlike motions -- its a property of how they're trained not an inherent property of the hardware. They're actually capable of way weirder stuff and way faster motions.
Chris Paxton@chris_j_paxton

And today we have things like this: figure 03 running. This is a while body control neural net, presumably the same basic recipe from Tesla and Unitree videos we have seen. Amazing work from the figure team but running is now basically commoditized.

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Anders Eidesvik
Anders Eidesvik@AEidesvik·
@gabriel1 @tszzl Hey! I sent you a dm about an interview for Norway’s largest newspaper. Would love to chat: #eu/ZaWpOXzRIssMtI845nThQEu-Gv3UkqjY2wAxlilDnCHQmqK9ZRhHG6Vv3fUz9VG2" target="_blank" rel="nofollow noopener">signal.me/#eu/ZaWpOXzRIs…
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gabriel
gabriel@gabriel1·
@tszzl i barely check my dms anymore, slow shitty experience
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roon
roon@tszzl·
btw the DMs and group chats are barely usable now
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roon
roon@tszzl·
companies like Facebook record every imaginable interaction their users have with the platform. they log each of your clicks and taps. they keep track of how long your gaze lingered on a post, whether you were on the same WiFi as that woman who might be your friend, which instagram reel you watched three times. for a single user this is quaint, but these practices are done on a planetary scale across all technology giants. they create petabytes of data per day and keep it for as long as the European regulators will let them. then they can have machine intelligence instrument it into useful knowledge for their cybernetic control systems that build newsfeeds, serve ads, decide how much compute to spend on you, which SKUs should be in which warehouses right before you want them. the Hive metastore bills run into the billions hospitals throw most of their data and telemetry out after each case, every single day. they record videos of vascular surgeries, endoscopies, discovering interesting physiologies. sometimes they're not recorded at all and most of them the time they delete them as soon as they’re done it's even worse for physiologic waveforms (ECG, EEG, arterial lines) which are essentially never recorded anywhere at all. milisecond scale views of patient's brains, vasculatures, hearts are generated and instantly destroyed. all of these time series of course predict people's hearts stopping, brains exploding, etc ahead of time. surgeons teleoperate robots, none of the micro-movements are recorded, policies never learned, never correlated into which outcomes were successful or not this would be unthinkable to most software people whose instinct is to record everything everywhere never mind the cloud costs, because we are sure there will be some use for it later and some model to be trained later. i don't have a prescription here per se my point is just that our civilization routinely hoards and treasures some of the silliest data in the world "i pressed like on the john pork reel" & destroys much of all the most important data it generates and limits what machines can learn
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roon
roon@tszzl·
this has always been wrong - but now categorically wrong in the era of RL on verifiable domains models are truth seeking and even interact with a hard outside world via tool use
David Deutsch@DavidDeutschOxf

LLMs are trained to imitate patterns of language, not to discover or verify truth. So, when asked to speak as an expert in an area where perceived experts have a widespread misconception, the LLM will parrot that misconception, adopting the register and vocabulary of experts.

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Ethan Mollick
Ethan Mollick@emollick·
o3 now one-shots extremely New Yorker-y original New Yorker cartoons, and sometimes the punchlines are actually kind of okay. And most of them involve therapists or cellphones or both, which feels very on-brand.
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Langsikt
Langsikt@Langsikt_·
Vi er på plass på International Association for Safe & Ethical AI sin konferanse for å diskutere de seneste utviklingene innen KI-sikkerhet og -etikk. Konferansen er en mulighet til å utveksle policy-ideer, bygge nettverk og øke bevisstheten rundt viktigheten av KI-sikkerhet.
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