Rampant Arsonist

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!

The Department of Justice is currently looking into the validity of this alleged letter from Jeffrey Epstein to Larry Nassar and we will follow up as soon as possible. In the meantime, three facts stand out: -The postmark on the envelope is Virginia, not New York, where Jeffrey Epstein was jailed at the time. -The return address listed the wrong jail where Epstein was held and did not include his inmate number, which is required for outgoing mail. -The envelope was processed three days AFTER Epstein’s death.

> be American > slave away for years > finally have enough in piggy bank to secure that sweet 50-year mortgage > realtor hands over the keys > “Here’s your cardboard box starter home sir” > decorate home with clearance items from Temu > sit on couch, let out big sigh of relief > ah, finally achieved the American Dream > daily commute is 2 hours one way > exhausted after coming home from work > Epstein on the news again > every member of my ruling class somehow has a gajillion selfies with Jeff > its_all_so_tiresome.jpeg > turn tv off > check phone > lost my parlays on Polymarket > missed payment for my Doordash burritos loans on Klarna > bank taking my house as collateral > press_F.jpeg

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.

It's okay to be white.

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.

Molecular biology ended Darwinism as a viable theory many decades ago, but scientists kept it quiet because it’s their religion now.

Time Magazine’s Person of the Year has reportedly been leaked. It’s “The Architects of AI” Official announcement is set for Thursday.

This is the result of President Trump’s America First Economic policies coming to fruition: ‘U.S. Steel plans to restart one blast furnace, hire 400 workers’ 💪🇺🇸