Raffi Krikorian ✓
@raffi · Bay Area · joined 19 Aug 2007
CTO @mozilla. board: @tumocenter & @medic. fmr CTO @EmCollective & director @uber ATC (🤖 🚗)
22 191Followers
1 373Following
10 365Posts total
7.7KViews on collected posts
Latest posts
Looking for new posts…
join us as we dig into personal data protections in the age of AI.
tuesday, september 22nd, 11am ET. save the date.
https://t.co/kdcgkDhVes
207 views · 2 likes
· 0 reposts · 0 replies
Open on X →
79% of developers reach for open models. only 53% of teams ever get one into production.
today @Mila_Quebec & @mozilla announced an open source AI foundation layer at ALL IN to help close that gap. this is local ownership, local control, no landlord. a layer that belongs to the
527 views · 3 likes
· 2 reposts · 0 replies
Open on X →
Do you actually own your data when AI is the one reading it?
Join Mozilla’s CTO @raffi and @Jad_AE, co-founder and CEO of Koodos (the company behind Shelf) for episode 4 of the Owners not Renters livestream and a conversation about the intersection of personal data protections h
2.7K views · 10 likes
· 5 reposts · 0 replies
Open on X →
"a closed model earns its premium in a few places: expert professional work, high-intensity retrieval, and long context. we see the decision to pay for closed models as workload-specific rather than organization-specific."
Ars Technica got an early look at v1.1 of Mozilla's
634 views · 5 likes
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Open on X →
going to be on @AI_in_the_AM this morning at 9:30 AM PT. see you there!
https://t.co/jCEuwlPYE4
466 views · 1 likes
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Open on X →
@raffi @Marcus_Rein_ Can't wait for this one! What a blast to get to put faces and voices to the usernames I see on GitHub
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Open on X →
episode three, september 9 at 11am ET. @Marcus_Rein_
hosts Jeremy Schoemaker and Luca Pinchetti.
you can’t build in open source alone. you build it with the people who show up, ask questions, and share their experiences. so, join us.
subscribe today — live link goes out htt
688 views · 3 likes
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Open on X →
should you trust an AI to keep your secrets?
depends on the type of model you're using and how much you’re paying for access.
https://t.co/KRwovWRWuV
414 views · 2 likes
· 1 reposts · 1 replies
Open on X →
round two, in the books.
big thanks to @natebrake, Richard Tweed and our host @Marcus_Rein_ for leading a great conversation about architecture and the future of open.
clip below: balancing user autonomy and safety to build a better interaction model.
full video on mozilla's h
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· 0 reposts · 1 replies
Open on X →
0:56
model providers change, token prices are in flux, and privacy terms can just disappear. what’s your plan for products you build when your AI vendor changes the terms?
join me on sept. 2 for an interview with Matheus Pagani, founder of Vibe Space. we’ll be discussing open AI
360 views · 2 likes
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Open on X →
Ramp says it’ll pick “the lowest-cost model that makes the required performance level.” time to ask who gets to make that decision.
once a broker decides how traffic flows, price stops being the only deciding factor. with no rule forcing anyone to show their work, we need
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this summer i ran an experiment testing the same coding stack, harness, and model across different servers.
there was an 18-point gap between the best and worst serving of the same model.
“neutral” routing is a nice promise, but it’s not a guarantee if ownership changes.
155 views · 2 likes
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Open on X →
two of the best-known payment companies are pointing their skills at AI.
last week, Stripe purchased OpenRouter for close to $8B and Ramp bought https://t.co/77GvbOcNzC
the router is no longer something engineers argue about. it’s becoming the most valuable part of the AI
742 views · 3 likes
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Open on X →
a router sits between a user and model and decides which provider serves your tokens, how fast, and what you’ll pay. it was built to serve as insurance against a constantly changing model.
the companies that move the world's money just bought the insurance provider.
140 views · 1 likes
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Open on X →
Against accounts of the same size
15 posts from the last 90 days, next to the 10K–100K follower range. below its peers on both reach and engagement.
Median views414this account924median for 10K–100K
Reach, %1.87%this account3.62%median for 10K–100K
Engagement, %0.87%this account1.52%median for 10K–100K
| Metric | This account | Median for 10K–100K | Ratio |
|---|---|---|---|
| Median views per post | 414 | 924 | 0.45× |
| Reach (views ÷ followers) | 1.87% | 3.62% | 0.52× |
| Engagement rate | 0.87% | 1.52% | 0.57× |
Others in this range → Compare with another account → How these benchmarks are built →
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
74225 Aug
155
82
36026 Aug
49128 Aug
4142 Sep
6883 Sep
127
31
4669 Sep
63415 Sep
2.7K17 Sep
527
20718 Sep
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
0.67%25 Aug
1.94%
0.00%
0.83%26 Aug
0.61%28 Aug
0.97%2 Sep
0.87%3 Sep
0.00%
6.45%
0.21%9 Sep
1.10%15 Sep
0.64%17 Sep
0.95%
0.97%18 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes61.3%38 in total
Reposts17.7%11 in total
Replies12.9%8 in total
Quotes4.8%3 in total
Bookmarks3.2%2 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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