Chip Huyen ✓

@chipro · San Francisco, CA · joined 30 Jun 2008

@aisysbooks @goodailist AI Engineering: https://t.co/94dv4uTU1H Designing MLSys: https://t.co/G81hL2dWmr Reading @chipslib

148 015Followers

722Following

587Posts total

4.6MViews on collected posts

Neueste Beiträge

Chip Huyen ✓@chipro25 Aug

i'm researching best practices for skills. what's the most number of skills you've had installed for your agents? 16.3K views · 42 likes · 2 reposts · 40 replies Open on X →

Chip Huyen ✓@chipro25 Aug

real question: why does gpt 5.6 over engineer so much? 138.1K views · 1K likes · 27 reposts · 235 replies Open on X →

Chip Huyen ✓@chipro17 Aug

what's a good model tiering system? i'm sick of telling my agent orchestrator things like: "for Claude, use model X, for OpenAI, use model Y, etc." i want to be able to tell my orchestrator: "use models tier ..." for this kind of task 32.1K views · 184 likes · 9 reposts · 49 replies Open on X →

Chip Huyen ✓@chipro10 Aug

that's the problem he should've sent them in all caps https://t.co/zqNe1FPI7I

19.3K views · 99 likes · 11 reposts · 4 replies Open on X →

Chip Huyen ✓@chipro4 Aug 2025

this seems to have reached a corner of the internet that my innocent soul wasn't ready for. "why do you hate em dashes so much?" this isn't about punctuation. this is about getting AI to follow simple instructions "what model was it?" 4o "why not use a thinking model? it works 47.5K views · 162 likes · 0 reposts · 27 replies Open on X →

Chip Huyen ✓@chipro3 Aug 2025

@chipro you're absolutely right! it's not just insane — it's maddening! 55.8K views · 2.3K likes · 8 reposts · 8 replies Open on X →

Chip Huyen ✓@chipro3 Aug 2025

$100 for anyone who can show me how to get ChatGPT to stop using emdashes. it's driving me insane https://t.co/cr7t0PMIor

3.8M views · 8.7K likes · 214 reposts · 1.3K replies Open on X →

Chip Huyen ✓@chipro7 Jan 2025

@chipro great overview. looking at the current state of agents a planner is the centerpiece of a multi agent strategy cauz the stuff doesn’t work well enough in a multi turn fashion.and like you said that is as easy as prompting it. we don’t really need abstractions for agents. 842 views · 2 likes · 0 reposts · 1 replies Open on X →

Chip Huyen ✓@chipro7 Jan 2025

@chipro thanks huyen for writing this. time to grab coffee and dig into this cool guide. solid work 😌 896 views · 2 likes · 0 reposts · 0 replies Open on X →

Chip Huyen ✓@chipro7 Jan 2025

@chipro I found the high level definition of agent of @swyx quite concise "agent = llm + memory + planning + tools + while loop" (some objective would be implied here) https://t.co/KJBP9rDj52 for a lightweight agent library I liked the approaches of OpenAI (Swarm 8.6K views · 38 likes · 2 reposts · 1 replies Open on X →

Chip Huyen ✓@chipro7 Jan 2025

My 8000-word note on agents: https://t.co/x5IzSUwO5b Covering: 1. An overview of agents 2. How the capability of an AI-powered agent is determined by the set of tools it has access to and its capability for planning 3. How to select the best set of tools for your agent 4. 417.7K views · 2.9K likes · 459 reposts · 69 replies Open on X →

Chip Huyen ✓@chipro7 Oct 2024

@simonw agent = llm + memory + planning + tools + while loop https://t.co/qEd8jixioW 27.9K views · 285 likes · 11 reposts · 13 replies Open on X →

Im Vergleich zu Konten gleicher Größe

4 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 100K–1M Follower. wird weit gezeigt, aber nur wenige dieser Zuschauer reagieren.

Medianaufrufe25 728dieses Konto5 983Median für 100K–1M

Reichweite, %17.38%dieses Konto1.49%Median für 100K–1M

Interaktion, %0.67%dieses Konto0.93%Median für 100K–1M

Kennzahl	Dieses Konto	Median für 100K–1M	Verhältnis
Medianaufrufe pro Beitrag	25 728	5 983	4.30×
Reichweite (Aufrufe ÷ Follower)	17.38%	1.49%	11.7×
Interaktionsrate	0.67%	0.93%	0.72×

Weitere Konten dieser Größe → Mit einem anderen Konto vergleichen → Wie diese Vergleichswerte entstehen →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

27.9K7 Oct

417.7K7 Jan

8.6K

896

842

3.8M3 Aug

55.8K

47.5K4 Aug

19.3K10 Aug

32.1K17 Aug

138.1K25 Aug

16.3K

Last 12 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.11%7 Oct

0.82%7 Jan

0.48%

0.22%

0.36%

0.28%3 Aug

4.21%

0.40%4 Aug

0.59%10 Aug

0.75%17 Aug

0.92%25 Aug

0.51%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.

What the audience does

Likes64.1%15 773 in total

Reposts3.0%743 in total

Replies7.0%1 727 in total

Quotes2.4%592 in total

Bookmarks23.5%5 781 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Neueste Beiträge

Im Vergleich zu Konten gleicher Größe

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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