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Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)
We're in a race. It's not USA vs China but humans and AGIs vs ape power centralization.
@deepseek_ai stan #1, 2023–Deep Time
«C’est la guerre.» ®1
The right in Europe couldn't win on anti-immigration, so they're going after the one thing clearly more retarded than mass immigration – degrowth. Devious.

Alexander C. Kaufman11 tuntia sitten
Terrific news for Marine Le Pen: the French left is campaigning *against* air conditioning amid a heat wave while her far-right party is promising a sweeping expansion of cooling equipment.

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I am tired of METR's time horizon slop. This benchmark is just like every other complex coding benchmark, only with results creatively rendered, it has a ceiling (100% and 16 hours), and it doesn't suggest anything you shouldn't already have concluded from «saturating» ones.


Beff – e/acc12.8. klo 07.29
General Relativity took 8 years of Einstein's brain's test time compute.
Once AI reaches into the task durations of years to decades it will begin to invent whole new theories about the physical world.
This is the new scaling axis.

1,57K
This makes me mad. Ukrainians are fighting an existential war, the sort that Amerifats only see in vidya. Every time they struggle to keep a position, their Western cheerleaders smugly say «heh, been there, Ruzzia will fail again». But every victory comes at a cost. And then…



Bohdan Krotevych12.8. klo 03.26
Пане Президенте,
Я щиро не знаю, що саме Вам доповідають, але інформую: на лінії Покровськ – Костянтинівка без перебільшення повна пізда. І ця пізда наростає вже давно, погіршуючись з кожним днем.
Ті командування, які зараз призначають (чи вже призначили), щоб «виправити невиправне», найімовірніше звинуватять у тій пизді, яка вже відбувається. Лінії бойового зіткнення як сталої лінії — фактично не існує.
Покровськ та Мирноград майже в оточенні. Костянтинівка — у напівоточенні. Противник просувається в напрямку Краматорська та Дружківки.
Проблема збільшувалася ще з минулого року. Про це публічно попереджали, і саме так воно й сталося. Причина цієї проблеми — не новостворені корпуси, які прийняли у спадок провальну обстановку з підпорядкованими неукомплектованими підрозділами, і не ОТУ чи ОСУВ, які останні півтора року фактично не керували нічим, а лише передавали накази «відповідно до наказу з ГШ».
Системна проблема почалася зі стира́ння резервів, масового роздріблення підрозділів по всій лінії фронту, звітів про «взяте село» як про перемогу на тлі провалів цілих напрямків, розподілу мобілізаційного ресурсу “кумам”, а також абсолютної відсутності стратегічного і навіть оперативного бачення театру бойових дій у частини військового керівництва.
Я офіцер, і в мене є поняття гідності. Моя совість чиста. Доповідь закінчив.
Всім офіцерам, які прийняли «правила гри»,- я хуй зна що вам сказати. Я вас не розумію.

2,42K
> "At its peak, around 2010 (just before and after the global financial crisis), China’s manufacturing sector employed about 220 million people. ...Now, we’re down to about 100 million.
Manufacturing follows the steps of farming. Productivity up, robots in, employment down.

steve hsu14 tuntia sitten
Automation is affecting everyone, including Chinese factory workers.
AI: "job loss ≠ decline in industrial capability – a critical lesson for other developing economies."
"At its peak, around 2010 (just before and after the global financial crisis), China’s manufacturing sector employed about 220 million people. ...Now, we’re down to about 100 million. So, over the past decade, ~100 million people have left manufacturing. Where did they go? Mainly into the service sector." -- Sun Zhongwei, South China Normal University
Checked this with Zhipu GLM-4.5 AI - original quote seems correct. See below for more.
China's manufacturing sector underwent a profound transformation during this period:
MVA = Manufacturing Value Added
Nominal MVA: +$2.79T (120% increase)
PPP MVA: +$4.33T (89% increase)
This reflects a successful shift from labor-intensive to capital-intensive, high-value manufacturing. While employment plummeted, productivity gains and technological upgrading turned China into an unrivaled manufacturing superpower. The data underscores that job loss ≠ decline in industrial capability – a critical lesson for other developing economies.

643
I think one detail people are missing is that this is the first time in years we don't hear about any next-generation model brewing at OpenAI. GPT-5-Pro (high) is as far as they can go at this point. They could give 4.5 a reasoning uplift, but… no. Waiting for more Stargates.

Sam Altman12.8. klo 09.20
Here is how we are prioritizing compute over the next couple of months in light of the increased demand from GPT-5:
1. We will first make sure that current paying ChatGPT users get more total usage than they did before GPT-5.
2. We will then prioritize API demand up to the currently allocated capacity and commitments we've made to customers. (For a rough sense, we can support about an additional ~30% new API growth from where we are today with this capacity.)
3. We will then increase the quality of the free tier of ChatGPT.
4. We will then prioritize new API demand.
We are ~doubling our compute fleet over the next 5 months (!) so this situation should get better.
38,04K
humans also intuitively envision things they have been explicitly trained on, but can also construct new compositions. We're much freer, more deliberate than AIs in projecting representations to some flexible mindspace. «Chain of thought» is not system 2, it's mere yapping.

François Chollet12.8. klo 04.53
Needless to say, this is not how human intelligence works. Human intelligence is compositional, which means you can understand the cross product of two spaces without being explicitly exposed to a dense sampling of data pairs from those spaces.
When reading a book, most people can visually picture what's going on, no matter how far from everyday reality the text gets -- and these people were never exposed to billions of explicit text:video pairs. In fact, they were exposed to virtually no such data.
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This looks good, I should make something similar

Xeophon10.8. klo 20.36
mom can we have huggingface
no we have huggingface at home
huggingface at home:

2,56K
> If that's all it took, we'd do it too!
But “we” are doing it too, even to a larger extent.
Subsidies are hard. It's an art. People who think the Chinese state just splurges on subsidizing nonsense are… not always wrong, but one can do So Much Worse than them.

Marko Jukic18 tuntia sitten
You hear people screaming bloody murder that Chinese companies are winning because they are "unfairly subsidized" by the government, then you look up the numbers and it's like $800 million for a company with $52 billion in revenue.
If that's all it took, we'd do it too!


2,19K
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