
Building https://nitter.cf/t.co/Qzp0sC4op1 Ex @Samsung
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Joined September 2020
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people are saying nasty things about the new openai rate limits
they don't understand how hard the openai (and ant) teams work to provide these subscription products that at best break even and eat up limited compute
no one wants to cut limits. screaming at them doesn't help
krish retweeted
GLM 5.3 Flash and DeepSeek V4.1 Flash are more than enough for 95% of people btw
You don’t need “frontier intelligence” for everyone
Never thought that i will post this but
Using @grok from last couple of days and its really insane. I think I need to go for $300 plan
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😊 I also just uploaded a new version of the lecture notes. cs229.stanford.edu/main_note… (it's still, and perhaps will always be work-in-progress, given the field is moving fast. Any mistakes are mine :) and any feedback is more than welcome :).
Instead of watching 2 hours of Netflix tonight, watch this Stanford lecture. It’s the clearest end-to-end explanation I’ve seen of how ChatGPT and Claude are actually built.
From tokenization and BPE all the way to the transformer architecture, training pipeline, and next-token decoding.
Whether you’ve never written a line of AI code or you’ve been shipping agents every day, this 2h 34min session will click things into place that most people take years to figure out.
Bookmark it and clear the time this weekend, because this might be the single most valuable thing you learn all month.
Everyone on my timeline was losing it this week over @emergentlabs raising $130M at a $1.5B valuation.
So I gave the same prompt to @boltdotnew @v0 @lovable_dev and Emergent, and read every line of code.
One of them shipped a 2019 stack in 2026. Create React App. CRACO. Mongo. No TypeScript.
Full teardown 👇
▶️ recommended watch speed: 1.5x
00:00 The $1.5B question
00:50 The prompt — same for all 4
01:15 @boltdotnew goes first, no pressure
08:48 @emergentlabs enters to a standing ovation
09:41 the UI is a genuine 10/10
12:11 …then I opened the code
14:30 Create React App + CRACO in 2026
15:08 @theo called this exact thing 4 years ago
19:33 Mongo, for a relational app (@theo again)
21:00 the Emergent scorecard
22:23 @v0 has thoughts on your design taste
28:06 @lovable_dev, living up to the name (mostly)
35:03 who I'd actually ship to production
35:50 my questions for @emergentlabs + YC
Both @theo videos are linked below — genuinely worth the watch 🧵
Using GPT-5.6 Sol with @NousResearch hermes agent.
Its fcking insane
Sol, Terra, and Luna, our GPT‑5.6 family of models, are starting to roll out now in ChatGPT, Codex, and the API.
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krish retweeted
a good engineer with kimi 2.7 will out perform an average engineer with fable any day of the week
krish retweeted
Amongst my friends, Spotify is the lowest quality consumer app we still pay for. It certainly hasnt gotten noticeably better in the last couple years (arguably worse). So, this is not the positive look Ant and Spotify are spinning here.
Bigger picture, this is the problem with a lot of AI reporting. It reports completely meaningless metrics like deploys per day or LoC. Why don’t we start reporting consumer satisfaction reports? Actually end state research results.
All the no nuance AI people always come out and think that this is anti AI. Again, I think AI is great and Claude is great. But this is bad marketing and makes both look like clowns.
.@SpaceX can you open source @cursor_ai composer model ??
SpaceX has exercised the option to acquire @cursor_ai in an all-stock transaction with the goal of building the world’s most useful AI models.
For the past few months, SpaceXAI has been jointly training a model with Cursor, which will be released in Cursor and Grok Build soon.
We look forward to working closely with the Cursor team to advance our frontier AI capabilities
Implemented an Obsidian Plugin which will sync up all my notes to @supermemory local so that my agents can have direct access to my notes
Thanks!! @DhravyaShah and team for open sourcing it.
You can now run @supermemory locally.
Introducing the supermemory local
- Fully self-contained. Comes with our graph engine, embedding model, etc.
- Run on any machine, with your @openclaw, hermes, claude, etc.
- SDKs to add memory to your agent, or build your company brain.














