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avs733 commented on Bluesky Goes Dark in Mississippi over Age Verification Law   wired.com/story/bluesky-g... · Posted by u/BallsInIt
shadowgovt · 2 days ago
Mississippi would have a hell of a time convincing every ISP in the US to put up a firewall too.

They could try, but not even China could build an impregnable firewall.

avs733 · 2 days ago
six months ago I would have said the same thing about US universities.
avs733 commented on Newsmax agrees to pay $67M in defamation case over bogus 2020 election claims   apnews.com/article/domini... · Posted by u/throw0101a
virgildotcodes · 6 days ago
How on Earth are we able to have a global digital financial system that is able to keep track of trillions in transactions per year but running a seasonal election with < 100 million participants through a digital system seems too hard?
avs733 · 6 days ago
Because this isn’t based on logic it’s based on feels and intuition.
avs733 commented on Illinois limits the use of AI in therapy and psychotherapy   washingtonpost.com/nation... · Posted by u/reaperducer
kylecazar · 11 days ago
"One news report found an AI-powered therapist chatbot recommended “a small hit of meth to get through this week” to a fictional former addict."

Not at all surprising. I don't understand why seemingly bright people think this is a good idea, despite knowing the mechanism behind language models.

Hopefully more states follow, because it shouldn't be formally legal in provider settings. Informally, people will continue to use these models for whatever they want -- some will die, but it'll be harder to measure an overall impact. Language models are not ready for this use-case.

avs733 · 11 days ago
> seemingly bright people think this is a good idea, despite knowing the mechanism behind language models

Nobel Disease (https://en.wikipedia.org/wiki/Nobel_disease)

avs733 commented on GPT-5   openai.com/gpt-5/... · Posted by u/rd
kybernetikos · 18 days ago
The wrongness is germane to someone who is doing their physics homework (the example given here). It's actually difficult for me to imagine a situation where someone would ask ChatGPT 5 for information about this and it not be germane if ChatGPT 5 gave an incorrect explanation.
avs733 · 18 days ago
The predicate for that is you know it is wrong, that wrongness is visible and identifiable. With knowledge that is intuitive but incorrect you multiply risk.
avs733 commented on GPT-5   openai.com/gpt-5/... · Posted by u/rd
timr · 18 days ago
Except it isn't "completely wrong". The article the OP links to says it explicitly:

> “What actually causes lift is introducing a shape into the airflow, which curves the streamlines and introduces pressure changes – lower pressure on the upper surface and higher pressure on the lower surface,” clarified Babinsky, from the Department of Engineering. “This is why a flat surface like a sail is able to cause lift – here the distance on each side is the same but it is slightly curved when it is rigged and so it acts as an aerofoil. In other words, it’s the curvature that creates lift, not the distance.”

The meta-point that "it's the curvature that creates the lift, not the distance" is incredibly subtle for a lay audience. So it may be completely wrong for you, but not for 99.9% of the population. The pressure differential is important, and the curvature does create lift, although not via speed differential.

I am far from an AI hypebeast, but this subthread feels like people reaching for a criticism.

avs733 · 18 days ago
the wrongness isn't germane to most people but it is a specific typology of how LLMs get technica lthings wrong that is critically important to progressing them. It gets subtle things wrongby being biased towards lay understandings that introduce vagueness because greater precision isn't useful.

That doesn't matter for lay audieces and doesn't really matter at all until we try and use them for technical things.

avs733 commented on GPT-5   openai.com/gpt-5/... · Posted by u/rd
kybernetikos · 18 days ago
ChatGPT5 in this demo:

> For an airplane wing (airfoil), the top surface is curved and the bottom is flatter. When the wing moves forward:

> * Air over the top has to travel farther in the same amount of time -> it moves faster -> pressure on the top decreases.

> * Air underneath moves slower -> pressure underneath is higher

> * The presure difference creates an upward force - lift

Isn't that explanation of why wings work completely wrong? There's nothing that forces the air to cover the top distance in the same time that it covers the bottom distance, and in fact it doesn't. https://www.cam.ac.uk/research/news/how-wings-really-work

Very strange to use a mistake as your first demo, especially while talking about how it's phd level.

avs733 · 18 days ago
Its a particular type of mistake that is really interesting and telling. It is a misconception - and a common socially disseminated simplifcation. In students, these don't come from a lack of knowledge but rather from places where knowledge is structured incorrectly. Often because the phenomenon are difficult to observe or mislead when observed. Another example is heat and temperature. Heat is not temperature, but it is easy to observe them always being the same in your day to day life and so you bring that belief into a college thermodynamics course where you are learning that heat and temperature are different for the first time. It is a commonsense observation of the world that is only incorrect in technical circles

These are places where common lay discussions use language in ways that is wrong, or makes simplifcations that are reasonable but technically incorrect. They are especially common when something is so 'obvious' that experts don't explain it, the most frequent version of the concepts being explained

These, in my testing, show up a lot in LLMs - technical things are wrong when the most language of the most common explanations simplifies or obfuscates the precise truth. Often, it pretty much matches the level of knowledge of a college freshman/sophmore or slightly below, which is sort of the level of discussion of more technical topics on the internet.

avs733 commented on How we built Bluey’s world   itsnicethat.com/features/... · Posted by u/skrebbel
theSuda · 21 days ago
"Flat Pack" (S2 E24) and "Baby Race" (S2 E49) Are my most favorite and bring out tears every time.

Then there is "Granny Mobile" (S3 E33) which cracks me up every time.

Even my 7 year old daughter knows this and uses Bluey to cheer me up if I am in sour mood.

Don't even get me started on Shaun the Sheep. My daughter and I have re-watched everything there is about Shaun the Sheep and laugh in anticipation before the funny things actually happen.

Edit: I absolutely love the minisodes where Bandit tells kids bedtime stories (Goldilocks and Three little pigs). I wouldn't be surprised if the voice actor just went off and made up bunch of stuff which they animated later.

avs733 · 20 days ago
My wife and I cry tears of laughter everytime Sean shows up.

And for those new to this - don’t miss the episode Cricket (3,47) which makes my wife tear up everytime.

The ability to tell a clear and focused narrative that has humor and a lesson in 8 minutes is stunning to me. I have legitimately used it with grad students learning to write a paper. Nothing is wasted, not a line not a shot.

Dead Comment

avs733 commented on Katharine Graham: The Washington Post   fs.blog/knowledge-project... · Posted by u/feross
avs733 · a month ago
I mean it’s pretty widely reported using euphemisms of the time. This includes by the Washington post…

https://www.washingtonpost.com/archive/style/2008/09/29/what...

avs733 commented on Android Earthquake Alerts: A global system for early warning   research.google/blog/andr... · Posted by u/michaefe
CGMthrowaway · a month ago
I was thinking the same thing. A taylor swift concert where she tells everyone to sway their phones in unison might trigger this
avs733 · a month ago
From memory I think earthquake oscillation profiles are higher frequency then swaying side to side is likely to be.

u/avs733

KarmaCake day5472October 6, 2015
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ex semiconductor engineer, social science researcher, entrepreneurship researcher, quantitative geek, serial founder, engineering professor.
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