Philip Kiely ✓

@philipkiely · San Francisco, CA · joined 05 Dec 2018

Author of Inference Engineering | Early @baseten | Not an LLM (yet)

13 302Followers

966Following

2 425Posts total

1.8MViews on collected posts

Derniers posts

Philip Kiely ✓@philipkiely12 Sep

My agent tells me that inference engineering job openings have doubled in the past 6 months. I think that's an underestimate. Demand for inference has inflected, again. So too has demand for engineers who can operate AI models in production. https://t.co/1NsSj2sz1k

24.7K views · 542 likes · 21 reposts · 34 replies Open on X →

Philip Kiely ✓@philipkiely10 Sep

It's the summer of Flash models. First GLM, now DeepSeek, these midsize models push the Pareto Frontier with remarkable intelligence at low prices. And, they outperform full-size last-gen models w/ new efficient architectures. Excited to see these recipes scale to 2T+ params. 1.6K views · 27 likes · 4 reposts · 1 replies Open on X →

Philip Kiely ✓@philipkiely10 Sep

The Blaxel team is full of wonderful people. Together, they have built a set of powerful infrastructure primitives that extend the inference layer to support agents from end to end. I'm excited to work with the entire Blaxel team in the coming months to ship incredible stuff. 2.9K views · 39 likes · 0 reposts · 2 replies Open on X →

Philip Kiely ✓@philipkiely8 Sep

Even with 1M-token context windows, a single M&A task can be 80X larger than fits in context. Great writeup about addressing this and other model limitations in a very sophisticated applied setting. 5.1K views · 69 likes · 6 reposts · 1 replies Open on X →

Philip Kiely ✓@philipkiely8 Sep

https://t.co/Fg8FniKQv3 266.7K views · 273 likes · 27 reposts · 12 replies Open on X →

Philip Kiely ✓@philipkiely23 Feb

@philipkiely Congrats on the launch! Such a beautiful book. https://t.co/sqrmODL1DS

15.4K views · 68 likes · 4 reposts · 6 replies Open on X →

Philip Kiely ✓@philipkiely23 Feb

@philipkiely Things must be bad in the AI space right now 🙁 Hot companies are now pivoting to physical book publishing 8.3K views · 46 likes · 0 reposts · 3 replies Open on X →

Philip Kiely ✓@philipkiely23 Feb

@philipkiely baseten? the publishing house? https://t.co/7BEop7WalW

7.6K views · 36 likes · 2 reposts · 3 replies Open on X →

Philip Kiely ✓@philipkiely23 Feb

Inference Engineering launches today. https://t.co/UNEIty1xZg https://t.co/QTNdMrypqR

1:11

1.5M views · 2.5K likes · 239 reposts · 191 replies Open on X →

Face aux comptes de taille comparable

5 posts des 90 derniers jours, à côté de la tranche de 10K–100K abonnés. diffusé à plus de monde que les comptes de taille comparable.

Vues médianes5 072ce compte924médiane pour 10K–100K

Portée, %38.13%ce compte3.62%médiane pour 10K–100K

Engagement, %1.50%ce compte1.52%médiane pour 10K–100K

Indicateur	Ce compte	Médiane pour 10K–100K	Rapport
Vues médianes par post	5 072	924	5.49×
Portée (vues ÷ abonnés)	38.13%	3.62%	10.5×
Taux d'engagement	1.50%	1.52%	0.99×

Autres comptes de cette tranche → Comparer avec un autre compte → Comment ces repères sont établis →

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

1.5M23 Feb

7.6K

8.3K

15.4K

266.7K8 Sep

5.1K

2.9K10 Sep

1.6K

24.7K12 Sep

Last 9 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.20%23 Feb

0.54%

0.59%

0.51%

0.12%8 Sep

1.50%

1.42%10 Sep

2.01%

2.42%12 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes51.1%3 567 in total

Reposts4.3%303 in total

Replies3.6%253 in total

Bookmarks40.9%2 855 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.

Derniers posts

Face aux comptes de taille comparable

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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