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gmays

43,111 カルマ登録 14 年前
Building AI-native stuff.

Blog: https://gmays.com

https://github.com/gmays

Habit tracker: https://maincharacter.game/u/gabe

X: https://x.com/gabemays

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

投稿

AI makes Pompeii victim's final moments look real

popsci.com
1 ポイント·投稿者 gmays·4 分前·0 コメント

Blood Cell 'Nurseries' Upend Understanding of Human Physiology

news.feinberg.northwestern.edu
2 ポイント·投稿者 gmays·9 時間前·0 コメント

Surprising lessons from my research scientist job search

yongzx.github.io
2 ポイント·投稿者 gmays·12 時間前·0 コメント

America's Greatest Hot Dog

theringer.com
1 ポイント·投稿者 gmays·昨日·0 コメント

The Pursuit of Hungriness: 250 Years of American Food Innovation

nytimes.com
2 ポイント·投稿者 gmays·昨日·0 コメント

Teaching AI to Run with the Turbines

technologyreview.com
1 ポイント·投稿者 gmays·昨日·0 コメント

Autodata: An agentic data scientist to create high quality synthetic data

arxiv.org
4 ポイント·投稿者 gmays·一昨日·0 コメント

Product Shape Is the Moat

twitter.com
3 ポイント·投稿者 gmays·一昨日·0 コメント

The Winning Essays for the Big Questions About AI

dwarkesh.com
2 ポイント·投稿者 gmays·一昨日·0 コメント

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

pytorch.org
1 ポイント·投稿者 gmays·一昨日·0 コメント

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

arxiv.org
1 ポイント·投稿者 gmays·3 日前·0 コメント

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

blog.bytebytego.com
4 ポイント·投稿者 gmays·3 日前·0 コメント

検証ループの終了

thinkroom.kieranklaassen.com
2 ポイント·投稿者 gmays·3 日前·0 コメント

The End of Compute Scarcity? Not So Fast

cloudedjudgement.substack.com
4 ポイント·投稿者 gmays·3 日前·0 コメント

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

gizmodo.com
2 ポイント·投稿者 gmays·3 日前·0 コメント

Understanding the Dynamics of the AI Ecosystem with Pace Layers

dbreunig.com
1 ポイント·投稿者 gmays·3 日前·0 コメント

Discovery helps explain why solid-state batteries often fail

news.mit.edu
3 ポイント·投稿者 gmays·4 日前·0 コメント

Euclid telescope spots oldest quasars ever discovered

cbsnews.com
2 ポイント·投稿者 gmays·4 日前·0 コメント

Agent-Assisted SGLang Development: An Initial Exploration

lmsys.org
1 ポイント·投稿者 gmays·4 日前·0 コメント

How Do Synthesizers Work? (An Interactive Exploration)

perthirtysix.com
3 ポイント·投稿者 gmays·4 日前·1 コメント

コメント

gmays
·10 日前·議論
The top AI use county in CA is Yolo county...
gmays
·3 か月前·議論
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 か月前·議論
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 か月前·議論
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 か月前·議論
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 か月前·議論
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).