This is why men should no longer be allowed to vote, own land, have their own bank accounts, or speak in public. They're too emotional. They need discipline and control.
Apple finally settled with me & #NLRB over my 2021 NLRB charge complaining that Apple was making unlawful threats & work rules. Apple will need to post a Notice for at least sixty days & is agreeing to no longer do a number of things it unlawfully did to me - including but not limited to - telling Apple workers they must satisfy a "balancing test" if they want to talk to anyone, including their coworkers or the government, about workplace safety concerns at Apple facilities.
https://t.co/Q5ZtFKNh4F
🤬 Whoa! This has gotten out of hand! TONIGHT, just ONE DAY after a police officer was forced to shoot a deranged stabber yards from the @santamonicacity pier, there was a SHOOTING at the pier not involving police.
Santa Monica’s DSA-aligned city council spends $$$$ attracting homeless & criminals to the city with free housing & drug paraphernalia but refuses to add 300-500 more police we desperately need. @SantaMonicaPD is desperately underfunded and it’s caused this once great city to turn into a war zone. I JUST took my daughter running in that exact spot this morning. We live here so we can enjoy the beach. But now apparently I’ll need to carry to be able to safely enjoy my own community.
@ctorosis@jessezwick@electdanhall@EllisRaskin@nhrushka@BarrySnell_CPA must all resign in shame for destroying this city. Every day someone is shot here.
A tone of policemen and first responders arrived here in Santa Monica pier at Colorado and ocean park. They appear to have made an arrest and someone perhaps the one being arrested needed medical attention or perhaps a victim but i cannot say for certain.
ICE drag mom & teen daughter out of hospital room—in middle of being treated after car accident.
Agents violently detain mom—still wearing hospital gown.
Separate her from daughter—family never told where mom was taken to.
Both were victims of being hit by car—with asylum case pending in good standing & valid work permit.
Grace Calero, 39, and her daughter Giulianna Carriel, 19, are both originally from Ecuador.
Both women received severe injuries after a near fatal rollover crash when another car swerved into their lane head on.
Made worse when the daughter suffered a seizure—after the trauma of seeing her mother violently handcuffed.
Polk County Sheriff’s Office contacted ICE after deciding the women's paperwork looked suspicious.
They have an ongoing formal cooperation agreement with ICE.
Incident occurred at HCA Florida Poinciana Hospital in Kissimmee, Florida.
Jessenia Hatti Barrett doesn't have an active account on this platform—so posting first full length and credited video here to help raise awareness.
HE MADE HIS GRANDSON PERFORM ORAL SEX ON HIM DURING A CRUISE TRIP!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
I'm going to make as many posts as I have to go make sure this information goes viral.
Ron DeSantis appointee and former Republican state Rep. Michael Caruso has been arrested on FIVE felony charges involving the alleged sexual abuse of a child under 12.
Kidnapping.
Lewd molestation.
Lewd exhibition.
Luring a child.
Child abuse.
And here’s the kicker:
Caruso previously supported Florida’s brutal new penalties for people who sexually abuse children.
The call keeps coming from inside the damn house.
Claims she has a button fitted on her belly, and when she gets the nod that he’s asleep she moves her hand and presses a button that wakes him. They’re calling her The Zapper. No idea if it’s true but it *appears* to line up.
🚨 BREAKING: The Right-Wing INFIGHTING is getting VIOLENT.
Def Noodles @defnoodlesreal and Yoseph @YosephHaddad nearly came to blows, attempting to SWING at each other.
The online civil war is officially spilling into real life. 😭
There are more active Ku Klux Klan chapters than trans athletes in America.
There are more states where child marriage is legal than trans athletes in America.
There have already been more school shootings in 2026 than trans athletes in America.
There are more antigovernment extremist groups in almost every single state than trans athletes in America.
Tim Dillon: “Here’s the thing about billionaires, they love data centers. They like having sex with children and they like data centers. We want them to be happy because otherwise blah blah China blah blah China China, we’ll lose to China, blah blah China China blah blah China China blah China”
This paper gives a fancy name to a problem you can already feel in your bones
"The Tragedy of the Cognitive Commons." Checking AI output requires deep expertise. Deep expertise comes from doing grunt work for years. And grunt work is the first thing AI eats
So we're building systems that need expert supervision while dismantling the only known process for making experts
The paper calls the shared pool of human expertise the "cognitive commons." Every profession drinks from it. Nobody's refilling it.
By eliminating junior roles, each company is acting totally rationally, and the collective result: a profession that can't catch AI's mistakes anymore because it never learned to do the work in the first place
Who checks AI's homework in 15 years?
#BREAKING: Ohio MAGA voter: “If I get laid off tomorrow, then I’m pretty much homeless, because you know, you can’t save now.”
MSNOW: “If you had to send a message to the president right now, what would you tell him?”
Ohio MAGA voter: “He needs to look out for the American people, instead of himself. Put us first.”
MSNOW: “Does America feel great again?”
Ohio MAGA voter: “NO. Not at all.”😢
Today is my last day at @OpenAI. I'm glad to have spent the last eight months of my life working here!
I'm starting a new company focused on the production of high-quality reinforcement learning datasets:
1. The generalization ability of LLMs is clearly very poor, with "spiky" capabilities even in areas that have received tremendous amounts of investment and attention. For example, despite multiple years with tens (if not hundreds) of billions invested, even coding capabilities don't demonstrate "generality" -- even if every model can solve Codeforces questions or port C++ to Rust better than I can, I still have to manually "deslop" pull requests.
2. The vast majority of economically productive capabilities are not well represented in existing data offerings. First, there's a certain art to the design of an RL dataset which most vendors, not having upstreamed data into large training runs themselves, don't really understand. Second, and more importantly, most work is highly contextual and not easily encoded into a gradable environment; even if we can observe a "golden path" taken by a human which we believe to be good, it's challenging to understand whether alternate, counterfactual paths produce good or bad outcomes.
The basic premise here is that I have a clear understanding of what labs need/want, having explicitly been on the other side and having been involved at every level from procurement all the way through training, and I'm able to provide it. I also believe that data needs will grow tremendously in the coming years, especially as frontier labs face increasing pressure toward profitability, and that they won't get the relevant capabilities "for free" through scaling alone; instead, they'll need to spend >$100B on precise, well-targeted data acquisition.
Our first products will be focused on biology and statistical reasoning:
1. First, datasets that address long-horizon scientific reasoning, drawing on my work on GeneBench-Pro with @jeremyli__. Frontier models are still unable to reliably execute "messy" data analyses that require judgment, exploration, and adaptive revision (GB-Pro passrate on GPT-5.6 Sol scarcely exceeds 30%); to address this, we have the ability to generate thousands of high-quality problems with known ground truths which can be reliably graded. (In contrast, most existing RL data for bioinformatics is either massively over- or under-specified, and will probably break your model when you train on it.) Moving the "reliability gap" from 30% to >90% is obviously required for scientific acceleration, and -- despite my skepticism about generalization of RL -- is one of the *most promising datasets* conceivable when it comes to yielding generalization benefits for models' overall reasoning capabilities.
2. Second, datasets that address capabilities relevant to day-to-day workflows. Imagine a scientist snapping a picture of some experimental process or result -- say, a cell culture plate or a Western blot -- and asking Claude a question. Frontier models remain quite bad at these questions, especially those with multimodal components. But they're obviously required for acceleration of scientific discovery; before we can dream about automating science, we have to begin with shoring up these basic, generalist capabilities.
Beyond these two, we hope to expand to adjacent fields (chemistry, materials science, etc.), and then even further into fields with more direct economic applicability like healthcare and white-collar office work.
I strongly encourage labs with data needs to reach out. We offer industry-standard pricing and terms, and like I said -- I know how this process works, what good data looks like, and how to demonstrate to you, convincingly, that you'll be able to upstream our data into your training processes without issue. My DMs are open!
New blog post: "Escaping the LLM Coding Rat Race"
There's only one winner in the AI coding rat race: your inference provider.
There is no permanent underclass. There is no
"falling behind."
It's brilliant marketing and it's ruining our lives.
https://t.co/A2RN5UMJuG