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#DeepLearning or #tensor (multilinear) factor analysis may perform either causal inference or simple regression. For causal inference hypothesis-driven experimental design & model specification trump analysis #CausalTwitter #MachineLearning web.cs.ucla.edu/~maov/CausalDe…
An excerpt from 2023 @NobelPrize winner @kkariko's book, Breaking Through: "...succeeding at research ... You need to know how to do things in which I never had any interest (flattering people, schmoozing, being agreeable when you disagree, even when you are 100 percent certain…
"AI isn't replacing radiologists" good article Expectation: rapid progress in image recognition AI will delete radiology jobs (e.g. as famously predicted by Geoff Hinton now almost a decade ago). Reality: radiology is doing great and is growing. There are a lot of imo naive…
In 2016 Geoffrey Hinton said “we should stop training radiologists now" since AI would soon be better at their jobs. He was right: models have outperformed radiologists on benchmarks for ~a decade. Yet radiology jobs are at record highs, with an average salary of $520k. Why?
Last week, China barred its major tech companies from buying Nvidia chips. This move received only modest attention in the media, but has implications beyond what’s widely appreciated. Specifically, it signals that China has progressed sufficiently in semiconductors to break away…
WACV'26 (R2,reg): 19 days. WACV'26 (R2,paper): 26 days. ICLR'26 (abs): 26 days. ICLR'26 (paper): 31 days. ECCV'26: 193 days.
The answer to this question is simple: They aren't building superintelligence - they are talking up their own book to gin up investor excitement, and keep the money flowing.
New Theory on The Why {Human/DeepSeek} #AGI #ASI - The Serial Killer Playbook of BigAI’s Elite 1. Revelation (The Controlled Disclosure of Horror) • Like killers who leave cryptic clues or taunting messages, AI leaders selectively leak terrifying capabilities—but only enough to…
Many people view the fear of 'superintelligence' as science fiction, and existential risk rhetoric as a distraction from real, observable problems like biased models, hallucinations, and environmental cost. However, since research models were adopted by industry before they…
You asked about how my predictions are holding up. My last slide at Dartmouth '06 was 4 immediate challenges: 1. Visual object recognition capabilities of a 2 year old child, 2. Manual dexterity of a 6 yr old, 3. Language capabilities of a 4 yr old, 4. social sophistication of a…
Held on July 2006, AI@50 was a look at the next 50 years in #AI. --- Dartmouth Artificial Intelligence Conference: The Next Fifty Years @rodneyabrooks @erichorvitz @geoffreyhinton - How are your AI predictions holding up? AI History: worldscientific.com/doi/pdf/10.114… AI@50 article:…
Held on July 2006, AI@50 was a look at the next 50 years in #AI. --- Dartmouth Artificial Intelligence Conference: The Next Fifty Years @rodneyabrooks @erichorvitz @geoffreyhinton - How are your AI predictions holding up? AI History: worldscientific.com/doi/pdf/10.114… AI@50 article:…
This solo founder built an open-source competitor to Perplexity with no team, no funding, and no permission. What started as a weekend project now powers over 1M searches, with 60K+ monthly users. This is the story of @sciraai and how Zaid Mukaddam built what others wouldn’t.…
You don’t need a PhD to be a great AI researcher, as long as you’re standing on the shoulders of 100 who have one.
You don’t need a PhD to be a great AI researcher. Even @OpenAI’s Chief Research Officer doesn’t have a PhD.
"Once an irrational idea is embedded in a culture, it creates psychological pressure on any member of that culture not to allow themselves to question that idea: people whose respect you psychologically depend on will despise you if you do. So an anti-rational meme emerges."…
One could not believe that, in the practice of “artificial intelligence” in the past decade, how many different names people have given to the same thing, or have reinvented the same thing so many times, often even in a lesser form! Deep networks, for example, are largely…
The #Turing test was designed to test for artificial intelligence, but it ended up testing for human gullibility.
I don't wanna say 'I told you so', but I told you so.
Why can AIs code for 1h but not 10h? A simple explanation: if there's a 10% chance of error per 10min step (say), the success rate is: 1h: 53% 4h: 8% 10h: 0.002% @tobyordoxford has tested this 'constant error rate' theory and shown it's a good fit for the data chance of…
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