Feeling robbed of my path to citizenship right now after grinding a PhD and contributing to foundational AI + computing technologies for the United States for the past ~ 10 years.
Feels like robbing top and technologists like me of the opportunity to achieve the American Dream.
@JDVance Your life is an all-time justification of post-birth abortion.
Thanks for the invitation to criticize you and your fellow administration of Pedophile Rapists. What a sorry excuse for a father, husband, vice-president, Human, and Mammal.
Suck this country's collective dick.
@JDVance Log back in pussy. Keep tweeting. You’re not waking anyone up. We know Usha sleeps in the other room. My son played Roblox with your boys btw. Great kids. Usha did a good job keeping your influence out. Not hard though with how emotionally detached you are
it’s simply not possible for us to “spread the disease”. it won’t happen. pathetic, wasteful attempts will happen, don’t get me wrong, but we will never be “multi planetary” in any meaningful sense. this is where will will die, and that’s just what you gotta accept!
things you can by instead of pyroxene:
-monster
-a nice dinner
-cigarettes
-beer
-a real game
-red bull
-another monster
-give it to me
-political lobbying
-another monster
> be american
> mock euros for living in shoebox apartments
> mock asians for taking public transport
> “lol just buy a car”
> mock china for “tofu dreg” buildings
> slave away for years
> finally save enough for a 50-year mortgage
> realtor hands over keys
> “congrats on your starter home sir”
> walls made of hopes and drywall, literal glorified cardboard
> furnish entire house with temu flash sale
> couch collapses under human weight
> whatever.jpg
> daily commute is 2 hours each way
> sitting alone in traffic builds character
> life is just podcasts now
> come home exhausted
> turn on tv
> epstein trending again
> every powerful person somehow his best friend
> turn tv off
> check phone
> lost polymarket parlays
> doordash burrito on klarna overdue
> bank gently suggests homelessness
> tornado spawns directly on my zipcode
> house achieves flight
> insurance says “act of god”
> god says “lol”
> bank repos house mid-air
> debt survives
> get relocated to “work opportunity center”
> unlimited overtime
> no overtime pay
> press_f_to_pledge_allegiance.jpeg
Pattern interpolation machine isn't good atgenerating original ideas outside of existing patterns
Wow how could we have predicted this clearly we need to give 7 trillion more dollars to sam altman to fuck the economy with
This paper from Harvard and MIT quietly answers the most important AI question nobody benchmarks properly:
Can LLMs actually discover science, or are they just good at talking about it?
The paper is called “Evaluating Large Language Models in Scientific Discovery”, and instead of asking models trivia questions, it tests something much harder:
Can models form hypotheses, design experiments, interpret results, and update beliefs like real scientists?
Here’s what the authors did differently 👇
• They evaluate LLMs across the full discovery loop hypothesis → experiment → observation → revision
• Tasks span biology, chemistry, and physics, not toy puzzles
• Models must work with incomplete data, noisy results, and false leads
• Success is measured by scientific progress, not fluency or confidence
What they found is sobering.
LLMs are decent at suggesting hypotheses, but brittle at everything that follows.
✓ They overfit to surface patterns
✓ They struggle to abandon bad hypotheses even when evidence contradicts them
✓ They confuse correlation for causation
✓ They hallucinate explanations when experiments fail
✓ They optimize for plausibility, not truth
Most striking result:
`High benchmark scores do not correlate with scientific discovery ability.`
Some top models that dominate standard reasoning tests completely fail when forced to run iterative experiments and update theories.
Why this matters:
Real science is not one-shot reasoning.
It’s feedback, failure, revision, and restraint.
LLMs today:
• Talk like scientists
• Write like scientists
• But don’t think like scientists yet
The paper’s core takeaway:
Scientific intelligence is not language intelligence.
It requires memory, hypothesis tracking, causal reasoning, and the ability to say “I was wrong.”
Until models can reliably do that, claims about “AI scientists” are mostly premature.
This paper doesn’t hype AI. It defines the gap we still need to close.
And that’s exactly why it’s important.
The director of MIT's Plasma Science and Fusion Center was shot to death last night in his home. When one of the greatest minds on the planet specializing in nuclear fusion is assassinated, it seems like a bad omen.
"There's no turning back" isn't somehow just arbitrarily "true", it's a conclusion we're being fed, something willed into existence by the interests that will profit from it most.