Levi Brooks

@UCLABaseball Look so good

Coming soon…🪡 #JackieRobinson42

@orenmeetsworld I think this is going to blow up

Babe, enough Disney World, lets take the kids to Tokyo:

@DailySabonis it's kind of funnier, if you can get 1 or 2 seconds before, so you get the whole sequence

UCLA ADVANCES

Knocked out the Knights 👊 #GoBruins | #MarchMadness

Please pass this message along

@caloriesproper2 @kvnwang pubmed.ncbi.nlm.nih.gov/41629846/

@kvnwang literally the title of the paper bro

Micro-exercise breaks every hour: a feasible strategy to improve metabolic health in sedentary office workers 3 minutes of body weight exercise every hour from 9 AM to 5 PM

@ESabro3 Hate to admit it, but mick teams are built tough by March

@levib Chance to redeem that embarrassment from last month

If you go on Torvik and sort the data starting Feb18 (day after MSU game), UCLA is performing like the #5 team in the nation….

Super smart idea

Here's the longer version of our Nature piece. Our argument is simple: statistical approximation is not the same thing as intelligence. Strong benchmark scores often say very little about how LLMs behave under novelty, uncertainty, or shifting goals. Even more importantly, similar behaviors can arise from fundamentally different processes. In another paper, we identified seven epistemological fault lines between humans and LLMs. For example, LLMs have no internal representation of what is true. They often generate confident contradictions, especially in longer interactions, because they do not track what is actually true. Another example. Yes, LLMs have solved some open mathematical problems, but these cases typically involve applying known methods to well-defined problems. LLMs cannot invent anything that is truly new and true at the same time, because they lack the epistemic machinery to determine what is true. None of this means LLMs are useless. Quite the opposite: they are extraordinarily useful. But we should be careful about what they are and what they are not. Producing plausible text is not the same as understanding. Statistical prediction is not the same as intelligence. So despite the hype from the usual suspects, AGI has not been achieved. * paper in the first reply Joint with @Walter4C and @GaryMarcus

@sethsetse Also they won’t show you real time data on how your app is doing after it’s accepted (it’s delayed 24 to 30 hours)

“sir they’ve paid $100 for the Apple Developer account” “good. wait 2 days to confirm their account then reject the app 10 times over the next 20 days. if they make it through take a 30% cut of the revenue and pay them out 2 months later. ban them if they try using Stripe”

Exclusive: American Nathan Martin, a 36-year-old high school cross county coach from Jackson, Michigan, is the personification of never giving up. He won the 2026 Los Angeles Marathon in 2:11:16.50, capturing the title in the final stride of the 26.2 mile race Sunday.

my OpenClaw bot works as my assistant editor now - digs through my script/comes up with b-roll ideas - researches x, youtube, google for tasteful, undiscovered b-roll - downloads the clips and puts them in organized folders - gives me a list of timestamps with high quality moments i used to pay an assistant editor to do this exact task... RT this + reply "skill" and I'll send you a free skill file that researches, scrapes, and organizes broll for your videos (must be following)

@beechinour @eptwts skill

hawks love windy days in L.A. they can just float in the sky looking for prey

@OliverWDahl Kodachrome colors always hit a certain way

Kodachrome photos my great grandparents took in Alaska in the 1950s

We're running an AI + ART residential summer program for high school students at UCLA this summer, July 12–29. Enrollment starts today! Please share :) summer.arts.ucla.edu/ai-art

I think I’m in love 😍

@mikeymarrero101 Yes - bug or shadow banned, can't tell

Is anyone TikTok videos not getting any views? Posted today and only got 1 view