Charles 🎉 Frye ✓
@charles_irl · SF // WWW · joined 08 Jan 2018
memer of technical staff at @modal. he/him. ex @full_stack_dl, @weights_biases (acq. @CoreWeave), phd Berkeley @Redwood_Neuro.
19 576Followers
3 198Following
13 356Posts total
192.2KViews on collected posts
Ultimi post
Cerchiamo nuovi post…
brought together two of my favorite organizations, @modal and @GrayAreaorg, to combine two of my favorite things: big computers and art.
We'll display the sponsored works at Gray Area at the end of October.
RSVP: https://t.co/FLz96Ggzbd https://t.co/zWuPcy1djM
844 views · 9 likes
· 1 reposts · 1 replies
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chatbots led many to predict a singularity, then Jev blew up in finite time
2.7K views · 17 likes
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@charles_irl how does this compare to replicate for on-demand GPU tasks? can i run their cog models/files?
239 views · 1 likes
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@charles_irl First saw @modal_labs from your @fsdl boot camp videos , I started using it and surely I love it.
206 views · 2 likes
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@charles_irl Congrats @charles_irl! but are we sure it isn’t because the color scheme matched your hair ?
506 views · 3 likes
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My new job is to get everyone else to see what I see in Modal:
the future of data-driven computing
powered by open generative models trained at the scale of the web
and adapted to end-user needs by code, customization, and continual improvement.
LFG.
https://t.co/R83Xurddht
115.5K views · 207 likes
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And I launched a little app of my own too: a QR code generator that uses ControlNet to mix in generated images based on a prompt: https://t.co/bpt466MOwh https://t.co/tMYg9G5Gj9
1.5K views · 9 likes
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So when it came time to decide where to work next, I asked myself:
- What products consistently delighted me?
- Which companies are building durable value?
- What was I repeatedly recommending to folks?
- Who did I actually pay money?
@modal_labs was the answer for all of them.
2K views · 19 likes
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Over the following year, I kept building projects with Modal, including some from their delightful collection of examples (https://t.co/OgGJUcGito), like this doppelganger slackbot. https://t.co/svfJpk9I1z
1.4K views · 9 likes
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I still remember sitting around a screen with my friends, generating pictures like "Pope Qwerty" and bursting into laughter.
That was the first thing I built with ML that actually created _joy_. I could feel the dams that had kept ML in the lab bursting.
1.3K views · 9 likes
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Within a few weeks, A100s dropped on @modal_labs and I immediately made a custom app that could generate art of my roommate @gottapatchemall’s new puppy, Qwerty. https://t.co/mIUTnGp7na
1.9K views · 11 likes
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When I first found Modal, I used it in the obvious way: cloud-native FizzBuzz. https://t.co/KTic1mHIxj
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I wanted to tell the engineers in the class that there was a platform that had
✅ serverless GPU execution
✅ smooth developer experience
✅ uncompromising performance
Two years ago, there wasn’t one.
Now, with @modal_labs, there is.
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I first came across Modal while looking for an answer to a key question from the @full_stack_dl 2022 course: what's the best way to deploy models?
We suggested shrinking models until they could run in a Lambda, noting the expense of GPU servers and the lack of serverless GPUs. h
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I got a new job at @modal_labs!
In my first week here, the team has added H100s, shipped an integration with @vercel, and merged >200 PRs. Incredible combination of velocity, product, & tech.
I want to tell the story of my journey from early adopter to happy user to employee.
54.4K views · 535 likes
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Rispetto ad account della stessa dimensione
4 post degli ultimi 90 giorni, accanto alla fascia di 10K–100K follower. arriva a molti, ma pochi di loro reagiscono.
Visualizzazioni mediane1 676questo account924mediana per 10K–100K
Copertura, %8.56%questo account3.62%mediana per 10K–100K
Interazione, %1.01%questo account1.52%mediana per 10K–100K
| Metrica | Questo account | Mediana per 10K–100K | Rapporto |
|---|---|---|---|
| Visualizzazioni mediane per post | 1 676 | 924 | 1.81× |
| Copertura (visualizzazioni ÷ follower) | 8.56% | 3.62% | 2.36× |
| Tasso di interazione | 1.01% | 1.52% | 0.66× |
Altri account di questa fascia → Confronta con un altro account → Come sono costruiti questi parametri →
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
2.6K9 Feb
1.9K
1.3K
1.4K
2K
1.5K
115.5K
506
20618 Feb
23925 Mar
1.7K20 Sep
2.7K21 Sep
1.7K
844
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.54%9 Feb
0.73%
0.75%
0.74%
1.01%
0.67%
0.20%
0.79%
0.97%18 Feb
0.84%25 Mar
0.71%20 Sep
0.66%21 Sep
2.05%
1.30%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes75.3%904 in total
Reposts2.6%31 in total
Replies6.6%79 in total
Quotes0.3%4 in total
Bookmarks15.2%182 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.
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