this is probably about $5 bucks in codex . worth introspecting why nobody seems excited to run it
HN user
swyx
Writer/Angel in devtools and smol AI enjoyer.
ai engineer pod/news: https://latent.space/
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personal blog: https://swyx.io/ideas
book: https://learninpublic.org/
but you can also email username [at] ai dot engineer
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meet.hn/city/37.7792588,-122.4193286/San-Francisco
Socials:
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this is pretty brilliant, aws cli should sherlock this.
when would you want write only?
John Pebble sold his community and their collective souls for a corn chip and I genuinely don't understand why they all went rushing back to him
youve never made a mistake? you didnt think google had at least a decent shot of making pebble even bigger and better? he has not been shy about google's errors in handling pebble post acquisition. please be kinder - this is clearly his passion and he wants to run things his way. let him cook. spitting on a strangers face just because you dont agree with how they run their business when its really none of yours is something you should reflect on.
there are more than 3: https://www.latent.space/p/loopcraft
we need more people like you. kudos
for what its worth you sound ultra fluent in english, so kudos whoever taught you english
https://cognition.ai/blog/frontier-code (disclaimer - was on the team - but also we covered swebench pro/deepswe issues in here as well.)
agent lab, not foundation lab
(ex temporal employee) believe it or not this is SIMPLER than temporal's actual workers. what you're seeing is a "DBOSify worker" embedded in each application server, which is not the same thing as temporal's conception of workers (which are separate from the app server). i havent spent much time with dbosify but i'd say this is closer to a "second client" than a full worker... just a terminology issue
i have insufficient energy to productively disagree but defend your right to be wrong
what are your best Om stories?
what brand?
i mean. fair trade?
this comment immediately replying to "You're talking about using a machine to detect social undesirables then quarantining them in the matrix." raises interesting questions about the nature and purpose of dangbot
why so dramatic? why cant it just be a quietly competent lab, why must it be a dramatic collapse?
thank you for being the first in this thread to actually prescribe what strategy to use, its been infuriating reading thru but not having the same level of knowledge
can you say more? dont look great compared to current radiology, sure, but you see no potential in ultrasound diagnosis whatsoever? would it improving 10% change your mind? 10x? what's a good way to think about what "looks good" looks like?
exactly correct. if a bit of knowledge is dangerous, the correct response is not to choose ignorance, it is to get more knowledge about what dangers arise and problemsolve some more there. run it out a few hundred years and it is then no longer dangerous, and strictly better than ignorance.
one has to wonder who julia is writing for here.
the technical savviness of this administration is not the thing it's most famous for
you cast aspersions here but honestly name one in the last 50 years that is more tech literate
maybe wait til monday guys
i dont get the reference?
502 Bad Gateway nginx/1.24.0 (Ubuntu)
hugged to death?
Zero tokens, just like in the old days!
because you zero rate your own human attention, which you should value
Having figured out all of these tricks Fable... hit some invisible guardrail and downgraded itself to Opus.
sigh
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ok so just amazon prime for waymo. its alright but i feel like they had the chance to go REALLY high end with like a $300/month plan that people will still pay for because supply is so limited. instead they went mass consumer with a name like "Premier". eh.
(sorry waymo person reading this i know what its like to name a thing and regret it)
thanks. this really isnt that long, might as well paste in full here since OP deleted.
Notes on DeepSeek:
We visited the company HQ last Tuesday. It was founded in 2023 by Liang Wenfeng and operated out of his hedge fund, High-Flyer, until somewhat recently. The company released their R1 model in January 2025, so it was interesting to see what they’ve been doing
The company is located in an unmarked, 12-story building in Hangzhou. There is no DeepSeek branding visible from the street or lobby. I asked why this is, and the team demurred and said, “Well, there are many companies in this building, and we are not special.” They want to keep a low profile.
We met with their Head of Data and Head of Infrastructure. The company only has 300 employees. They are at least an order-of-magnitude smaller than Anthropic, and don’t care to scale further just yet. Their Head of Infrastructure, in particular, was young; maybe 30 years old and apparently one of the best AI buildout and energy experts in the country. (We briefly walked through the labs, and everybody seemed young. There was a lot of discussion; it felt like an exciting and energetic place.)
Lots of competition is coming from Alibaba (Qwen), ByteDance, and Moonshot (Kimi). People in China seem to mostly use Kimi or Deepseek. Young people use VPNs to access Claude, though Anthropic has blockers around usage in China and make it difficult. Poaching between groups is common, just like in the U.S. DeepSeek has a reputation as being really smart and “cool,” maybe similar to Anthropic. Big labs are mostly in Beijing, near Tsinghua and Peking University, with Hangzhou as the main exception (DeepSeek and Alibaba/Qwen are there).
The DeepSeek team reads western AI writers. They listen to Dwarkesh and read Gwern. The people we met with said they had never met with any employees from Anthropic. They were not at all concerned with some kind of hostile / AGI takeover scenario. They kept bringing up job loss (which is already high amongst youth in China) as their main concern. When we asked if they do red teaming on their models, they said no. In China, AI models are not regulated directly; the government instead has restrictions on how those models can be used in software, services, etc.
As a whole, China seems to treat AI as just another technology, rather than as some kind of singularity moment. National attention is still on basic needs and infrastructure buildouts, and on providing more medicines for people. The “dreams of singularity" seem like a luxury or distant consideration.
We asked the DeepSeek team: “What has the highlight been so far? What are your plans for an exit?” And they said that their highlight and great achievement was R1. They did not gesticulate at a future model or vision, but rather seemed proudest of what they’ve already done. They are content for now to remain ~6 months behind U.S. companies while maintaining a lower profile and team size.
I Hate (Most) Keyboard 'Fn' Keys (danq.me)
11 points by speckx 13 minutes ago | flag | hide | 1 comment
this is currently #1 on HN gaining 11 points in 13 mins. never seen this before.
very nice adoption ladder: https://www.upside.tech/gtme/adoption-ladder
would you class any folks in your podcast along this ladder? i think it has potential.
jump in chart form https://x.com/swyx/status/2064414823748886591/photo/1