Eason

[Nathan Lambert @natolambert]

I don't really want to have to go to bat against Anthropic, but they've just been unnecessarily antagonistic to all of China, then not so subtly to open weight models, and now more broadly open AI research. What's next on the list?

[Eason @messyfork]

@natolambert I'm glad you're saying the obvious parts out loud for the rest of us.

[Eason @messyfork]

@afrazhaowang probably not imo. the financial and political incentives are too strong to keep up the narrative.

[Eason @messyfork]

@pretentiouswhat i literally left shanghai today otherwise id insist on buying you a drink. bravo analysis learned a bunch about domestic chinese power markets from the thread

[Eason @messyfork]

I guess a shot in the dark to my few followers and non-premium algo: I'm gonna be in Shanghai for the next 3 days with literally zero plans. If anyone would like to intro me to some peeps for socialization I'd greatly appreciate it! (I speak mandarin)

[Eason @messyfork]

@chongz @_vatsadev @turbopuffer its a incredible design highly rec

[Susan Zhang @suchenzang]

when your ARR is secured by continual suppression of access to tech built on top of a black hole of financial capital, alongside an amortization of risk toward a nonzero probability of a singularly catastrophic outcome...

you have no choice but to repeatedly hammer in this fear-mongering message, hoping that the functional-freeze created by the constant anxiety and dread of job/market displacement gives you the window of opportunity to seize the means of all production

the more people fear, the more powerful the savior can be

[xuan (ɕɥɛn / sh-yen) @xuanalogue]

Just really can't stand the kind of statist logic that leads one to conclude that being on the side of freedom / autonomy / equality etc. means having to empower one state or the other.

[Eason @messyfork]

@nopainkiller Ah good reading practice for me to find it on Bilibili. thanks!

[Eason @messyfork]

@AngelicaOung @DrewPavlou bro also famously lost

[Eason @messyfork]

@tianyuf It's in the friggin UTC westfield isn't it...

[Theo Bleier @theombl]

Many have a view that China's government is authoritarian and driven by a desire to beat us. I think these are symptoms of far more interesting motivations.

There is a lot of discourse about China. I visited to understand what's going on.

https://t.co/hFZ55Vo0cx

[Eason @messyfork]

@wongmjane @zoox I was so tempted to write some API to tell me whenever it drops below 30 mins

[Eason @messyfork]

@sarahmsachs Maybe Jensen's right and they started optimizing for Huawei. They did cite this in their technical report so there's still some Nvidia usage for sure. https://t.co/7deiwee9tF

[Eason @messyfork]

@ChrisRMcGuire @natolambert But the only "IP" here is LLM outputs. Are we going to slap export restrictions on LLM outputs?

What if people start opensourcing their gpt/claude transcripts as public data as opensource datasets? Is that IP theft?

[jasmine sun @jasminewsun]

Most people I know in AI think the median person is screwed, and they have no idea what to do about it.

I spent the last 3 months talking to dozens of researchers, economists, and policy experts about AI's impact on work; including reps from every frontier lab and several Congressional offices. Unfortunately, I was not reassured.

The AI industry is raising the alarm, but can't change course. These companies' core business model relies on the disruption they are warning about: their faith in full automation only makes them go faster.

Policymakers are waking up, but still paralyzed by data and debates. Econ wonks disagree on plenty, but even the limited scenario looks like a "painful transition" that will disempower millions of workers.

But an "underclass" is not inevitable, but rather a societal choice — and one we can and should stop. Instead of waiting for impact, we should start planning now to support workers through AI disruption. Whether policymakers can assuage concerns about economic security may determine if we get to reap AI's gains at all.

New from me for @NYTOpinion. I put a ton into researching what I think may be the biggest topic of the year, so hope you read it (gift link here!) https://t.co/NiGJpjyjzH

[Eason @messyfork]

@natolambert @Shekswess @Alibaba_Qwen Shot in the dark- I'm gonna be in china end of next month, anyone in china willing to have a chat?

[Eason @messyfork]

@AngelicaOung @brianhioe People not realizing this is what Rubio and friends mean by "Unleash Chiang".

[Tianyu Fang @tianyuf]

I made the mistake of arguing with DC people on the internet—which I'd promised myself not to when I was 20—so I'll stop here. But back to my field of the history of science, exit bans were widely adopted by the State Dept during the McCarthy era to prevent left-leaning ...