scaling @smallest_ai | Ex-@yugabyte DB | @ThePSF Fellow | community @bldrcollective try https://xitter.cf/t.co/uXFkpEsChH

LRU cache | BLR | SF
Joined December 2013
docs are the first product a developer touches so we rebuilt ours six models, one place to build with them. go make something with voice ps: increase the volume a bit :)
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Eminem's fastest verse vs Smallest Pulse STT The last verse of "Godzilla" is one of the fastest in mainstream rap. Pulse kept up with all of it: 296 words, 1.4% word error rate. Just the raw audio, transcribed live. If Pulse can handle Eminem, your customer calls are easy.
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‼️ Researcher Erica Windisch skipped coordinated vulnerability disclosure and published 11 unpatched Tailscale flaws. In her lab, Tailscale SSH race conditions let one hacked device get root on other servers and add a rogue node.
Readers added context they thought people might want to know
The Tailscale SSH findings require prior authorized access on the tailnet per the researcher's report; Tailscale stated issues concern post-authorization behavior only and did not recommend disabling SSH for everyone. tailworm.com x.com/IntCyberDigest…
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We have a background agent sweeping CI every hour, finding slow and flaky tests, optimizes the tests or code itself, and more importantly messages people on Slack if their changes introduced a CI speed regression. The bottleneck has now moved back to the team in merging fixes the agent is producing. The background agent framework is built on top of our internal software factory Foundry.
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marketing team needs a raise for this one lol
Eminem's fastest verse vs Smallest Pulse STT The last verse of "Godzilla" is one of the fastest in mainstream rap. Pulse kept up with all of it: 296 words, 1.4% word error rate. Just the raw audio, transcribed live. If Pulse can handle Eminem, your customer calls are easy.
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my guess is he is joining xai team? also, all the best sire!! legendary run 🫡
today was my last day in cloudflare (again). the best career and opportunity in my whole life, and the closest friends I would die for. thank you to everyone who made it all so special. I had an incredible time. 🧡
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technical founders trying to announce the birth of their child without captioning the post “hello world”
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please put Cloudflare in front of all your Internet stuff. It’s bad out there rn
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This seems bad.
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Editing takes skill. Captioning takes hours. Capkit by Smallest AI takes the Captioning one off your plate. Click Generate and animated captions land on your Premiere Pro or After Effects timeline. It runs on Pulse, the fastest speech to text model in the world, so the wait between Generate and captions on the timeline is barely a wait. 20+ languages, Hinglish included. Link in the first reply.
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getting my prs reviewed in plane on x with @bot :)
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Catch our DevRel @StalwartCoder at BUILD Day Cochin on November 1 for a hands-on workshop on building your first voice agent.
Replying to @bldrcollective
Our 2nd speaker for BUILD Day is @StalwartCoder from @smallest_AI He will be taking a workshop on AI: From Hype to BLDing your first Voice Agents Workshop. He is also passionate about Python, Voice AI & developer ecosystems. So, get ready for exciting tech conversations! (2/4)
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Our 2nd speaker for BUILD Day is @StalwartCoder from @smallest_AI He will be taking a workshop on AI: From Hype to BLDing your first Voice Agents Workshop. He is also passionate about Python, Voice AI & developer ecosystems. So, get ready for exciting tech conversations! (2/4)
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woah!!! you can have your grokbot on x messages now
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Abhishek (key/value) retweeted
Smallest 🤝 @hyperspell Spent the afternoon with @contextconor at their office. something's cooking 👀 also got some top tier merch in SF. single till series B 💅
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who’s at first?
🚀 Mistral AI’s Voxtral Mini Transcribe 3 ranks #2 out of 9 models by DER on Voice Arena’s Diarization + ASR leaderboard, outperforming its larger counterpart. Following the launch of Mistral’s new Voxtral 3 family, we evaluated its Mini and Small transcription models on Voice Arena’s Diarization Bench. 🥈 Voxtral Mini Transcribe 3: 40.4% DER (#2) Voxtral Small Transcribe 3: 41.1% DER (#4) Both models were tested on 139 held-out conversations under identical conditions, using human-verified references, a strict 0 ms collar, and no predefined speaker counts or audio cleanup. Mini leads on in-person conversations (40.6% vs. 41.5%), while Small performs slightly better on online calls (39.1% vs. 39.5%). Overlapping speech remains the biggest challenge. Missed speech accounts for 82% of Mini's total DER. Both models correctly identify the exact number of speakers in 83.5% of sessions. Congratulations to @MistralAI on the release ! 👏 View complete track & condition breakdown: voicearena.com/diarization-b…
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password to the internet is 4
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