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A startup called Rainmaker says its drones produced about 19 million gallons of rain over Alaska in just three hours, by releasing tiny silver iodide particles into clouds. The number is the company's own estimate, based on radar and modeling. Critics point out that rain was already falling naturally...

57,684 görüntüleme • 20 gün önce •via X (Twitter)

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sorry, they just did WHAT someone gave a machine one disease name, the leading cause of blindness in the developed world with 1.5 million americans already in its path, and it came back pointing at a drug that has sat in pharmacies for years under a different label: 551 papers read in 30 minutes against the 294 hours a human would have needed, and the loop that did it is public on GitHub most agent setups answer one question at a time, so the ceiling on the work is the quality of the question you happened to think of this one was handed a single question and wrote the second one itself. turns out that follow-up is where the real find was: a target called ABCA1, upregulated threefold, in an experiment no human ordered i read the whole paper looking for the trick, and the trick is structural. that is the second question, and it is the gap between an assistant and a factory: - hand the loop a field rather than a task: it was given a disease, and choosing the mechanism was part of its job - make it rank before it spends: 151 papers in, ten candidate mechanisms out, scored against each other before anything touched a bench - split reading from judging, so the agent that forms the theory is a different agent from the one grading it - close every cycle on physical reality: the verdict was an experiment, and another model's opinion was never allowed to stand in for one - feed each result back as the next question rather than a log line, which is the step almost nobody builds - search what already passed inspection first: the winner was an approved compound with a safety file already on record - write down what the round learned before opening the next one, so round two starts where round one stopped my read, and i think it is the uncomfortable one: reading was the entire bottleneck in that field, and everybody spent the decade optimising the writing. people ran every physical experiment here, the analysis agent needs a domain expert writing its prompts, and the authors decline to call this the leap it resembles. the thinking got replaced, and the hands did not so the question i cannot answer for my own setup: which step of your loop still stops dead until you sit down and type something bookmark this one. the four parts that turn one model into a line that runs like this, the queue, the rooms, the write permissions and the gate, are built file by file in the piece below ↓

Argona

32,475 görüntüleme • 1 ay önce

Sold 32 coins. Bought 1,550. 48 times more, at a 15% discount, into the crash the market blamed on the sale. Strategy disclosed today that while everyone panicked over its $2.5 million Bitcoin sale, it was quietly buying the dip that panic created. 1,550 Bitcoin for $101 million, at $65,332 a coin, far below the $77,135 it sold for and below its own cost basis. The bears called the sale the first crack, a forced liquidation, the start of the death spiral. The answer was a buy 48 times the size of the sale that scared them. This is the machine we described: a state-contingent allocator. Above its funding line, it turns market access into Bitcoin. The sale was the exception. The buy is the rule. It also closed the question the sale opened. The cash reserve behind the preferred dividends had thinned to $900 million, about six months of cover. He rebuilt it to $1 billion in the same week. But watch how, because that is the real story. He funded none of it with coins. He funded it with $181 million of freshly issued stock, then spent it on Bitcoin and the reserve. The coins were never the funding source. The equity is. That is the flywheel working exactly as built, and the cost of it surfacing at the same time. Every turn now runs on issuing shares, and the premium that once made each share buy more Bitcoin than it diluted has compressed hard. He bought low. He sold his own stock low to do it. So the question quietly turns. It was never whether Saylor sells his Bitcoin. He just proved again that he buys far more than he sells. It is what each turn of the engine now costs in dilution, and how long the market keeps paying a premium worth that cost. He bought the dip. The dip was partly his own making. And he paid for it in equity, not coins.

Shanaka Anslem Perera ⚡

142,587 görüntüleme • 3 ay önce