Some Madrid fans keep embarrassing themselves by mentioning Yamal. It just proves they fear to compete with him. And this makes Yamal look bigger. Never seen a fanbase being terrified like this.
everyone asks which STT is "fastest"
but, fastest at what?
bcz "real-time" in speech recognition means two completely different things and most teams are optimizing the wrong one.
one word. two problems.
I don't really agree. Competitive exams cause far more harm because they're socially glorified and sold as the ultimate path to success.
Celebrity obsession is mostly a matter of personal choice. Competitive exams, on the other hand, are actively encouraged and defended by society. Nobody questions dedicating years of your life to them because we've made it the norm.
Spend some time in any major education hub ( I think you're well aware of this ) and you'll see countless teenagers who look exhausted, depressed, and stripped of their individuality. That's what happens when a stepping stone is treated as the end goal.
Precisely, but it digs deeper than just "glorifying anything is bad" because it leaves long-lasting psychological effects on generations, especially those from Tier 2 and Tier 3 cities like Varanasi and Kanpur, where life often revolves around cracking these exams to prove one's worth.
Pulse Pro is the #1 hosted STT API on the CodeSOTA leaderboard, and #3 overall across all models, hosted and open-source ๐
5.42% mean WER on the HF Open ASR Leaderboard's 8-dataset suite.
A hosted API matching open-source frontier accuracy is rare. Doing it while shipping on-prem and air-gapped deployment is the position that matters for enterprise.
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Introducing HydraDB.
The graph native context infrastructure for agents. Purpose built to deliver precise context & observability into why agents act the way they do.
We've always believed graphs are the best way to manage AI context, but they've been too expensive to scale or impractical for storing full context. Until now.
@hydra_db combines in memory, NVMe, and object storage into a single graph layer, making context delivery faster, cheaper, and more precise.
We want context delivery to be extremely fast, 1000x cheap, and highly precise. Give your agents a brain.
Introducing HydraDB.
The graph native context infrastructure for agents. Purpose built to deliver precise context & observability into why agents act the way they do.
We've always believed graphs are the best way to manage AI context, but they've been too expensive to scale or impractical for storing full context. Until now.
@hydra_db combines in memory, NVMe, and object storage into a single graph layer, making context delivery faster, cheaper, and more precise.
We want context delivery to be extremely fast, 1000x cheap, and highly precise. Give your agents a brain.
You just canโt expect to turn up to the biggest game of the season with 20% possession, not attempt to play football, park in your half from the 6th minute and deserve to be called the best team in Europe.
The better team won today. Football won.