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gmays

43,111 声望加入于 14年前
构建人工智能原生的东西。

博客:https://gmays.com

https://github.com/gmays

习惯跟踪器:https://maincharacter.game/u/gabe

X:https://x.com/gabemays

领英:https://www.linkedin.com/in/gabrielmays

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人工智能让庞贝古城受害者的最后时刻看起来真实

popsci.com
1 分·作者 gmays·13分钟前·0 评论

Blood Cell 'Nurseries' Upend Understanding of Human Physiology

news.feinberg.northwestern.edu
2 分·作者 gmays·9小时前·0 评论

我的研究科学家求职过程中令人惊讶的教训

yongzx.github.io
2 分·作者 gmays·12小时前·0 评论

美国最棒的热狗

theringer.com
1 分·作者 gmays·昨天·0 评论

追求饥饿:美国食品创新 250 年

nytimes.com
2 分·作者 gmays·昨天·0 评论

教人工智能与涡轮机一起运行

technologyreview.com
1 分·作者 gmays·昨天·0 评论

Autodata:创建高质量合成数据的代理数据科学家

arxiv.org
4 分·作者 gmays·前天·0 评论

Product Shape Is the Moat

twitter.com
3 分·作者 gmays·前天·0 评论

关于人工智能重大问题的获奖论文

dwarkesh.com
2 分·作者 gmays·前天·0 评论

Miles: A PyTorch-Native Stack for Large-Scale LLM RL Post-Training

pytorch.org
1 分·作者 gmays·前天·0 评论

Seed2.0 Model Card: Towards Intelligence Frontier for Real-World Complexity

arxiv.org
1 分·作者 gmays·3天前·0 评论

How OpenAI Delivers Low-Latency Voice AI for 900M Users

blog.bytebytego.com
4 分·作者 gmays·3天前·0 评论

Closing the Verification Loop

thinkroom.kieranklaassen.com
2 分·作者 gmays·3天前·0 评论

The End of Compute Scarcity? Not So Fast

cloudedjudgement.substack.com
4 分·作者 gmays·3天前·0 评论

Hobbit-Like Human Ancestor Survived on an Island with Komodo Dragons

gizmodo.com
2 分·作者 gmays·3天前·0 评论

Understanding the Dynamics of the AI Ecosystem with Pace Layers

dbreunig.com
1 分·作者 gmays·3天前·0 评论

Discovery helps explain why solid-state batteries often fail

news.mit.edu
3 分·作者 gmays·4天前·0 评论

Euclid telescope spots oldest quasars ever discovered

cbsnews.com
2 分·作者 gmays·4天前·0 评论

Agent-Assisted SGLang Development: An Initial Exploration

lmsys.org
1 分·作者 gmays·4天前·0 评论

How Do Synthesizers Work? (An Interactive Exploration)

perthirtysix.com
3 分·作者 gmays·4天前·1 评论

评论

gmays
·10天前·讨论
The top AI use county in CA is Yolo county...
gmays
·3个月前·讨论
Agree. And the meta point, after reading through to the core committer channel on the WP slack is that it's clear he's now more involved in the project again and making decisions. I haven't been involved for years, but while I was it seems he had other priorities (understandable).

But the rapid changes from AI are an existential threat to the long-term viability of WP. Rather than bike shedding about something relatively trivial, they need to focus on the bigger issues, which it's apparent he's trying to do.

Interestingly, the culture that sustained WP over the last 2 decades may now be working against it. Culture is really hard to change, but he now seems to have his 'wartime CEO' hat on trying to do it, which is the right move.
gmays
·3个月前·讨论
I didn't want to hassle with migrating my WordPress blog, so now just deploy it to Github > Cloudflare Pages so it's served statically (fast + secure). It's free too, wrote a blog post on it a couple years back: https://gmays.com/how-to-host-wordpress-sites-free/

But these days any new site I build is on NextJS since coding agents make it a breeze.
gmays
·5个月前·讨论
Slick UI and well thought through, like the simplicity of the approach.

On the collab side, any limitations on simultaneous users? Like just a couple at a time or can handle a team?
gmays
·6个月前·讨论
Good point, it's a mix. The "it'll only get harder" is also because things are moving so fast and it takes time to learn (especially across teams) and change habits. No past paradigm has moved this quickly, which makes it hard to grok.

I also fully agree with "don’t overdo your investment into this generation of tools". IMO there are too many "cutting edge" tools trying to do all of this sexy stuff that'll be irrelevant in the next few months.

It's best to keep things simple with tooling. I push the edge on my general approach (99% of everything is AI coded) but conservative with my tools (pretty much only using Cursor now) to have at least some layer of stability. Otherwise stacking too many cutting edge things just feels too fragile, and will decay as AI improves, causing other issues. And this stuff is moving so fast and these companies are sufficiently motivated that the best things will make it into the tools, like plan/debug modes in Cursor.

I also feel that agentic coding is fast enough for now, so I don't even bother with multi-agent workflows. I still get a ton done and it's already at the edge of my ability to design coherently. Sure I could get 10X more code written in parallel with 10X more agents, but I can't design that fast, so it's just hurry up and wait with worse quality. And if that much code is needed I'm probably doing something wrong anyway.
gmays
·8个月前·讨论
Same. This is a surprisingly simple recipe for a happy life and helps prevent lifestyle inflation. It reminds me of PG's "Keep your identify small" (https://paulgraham.com/identity.html).