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Vogent (Vogent) just launched extremely realistic voice agents. They rebuilt Sesame's CSM-1B model to produce ultra-humanlike voice in real time. Listen or call their AI Trump agent at 510-315-0014. Congrats on the launch, Jagath Vytheeswaran + Vignesh Varadarajan!

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Y Combinator

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45,835 просмотров • 1 год назад •via X (Twitter)

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Комментарии: 11

Фото профиля Vogent
Vogent1 год назад

@jagath_vyth @vigneshv59 AI Trump is getting a bit more traffic than expected right now 😅 latency may be a bit high for the next hour but we’re migrating infrastructure so he’ll be fast again soon 🫡

Фото профиля Bytescribe
Bytescribe1 год назад

Introducing Vehrbal, the AI that converts audio into SOAP notes! Say goodbye to wasted time and hello to effortless note-taking. Experience the power of fast, simple, and efficient with Vehrbal today.

Фото профиля AI Capital
AI Capital1 год назад

@vogentai @jagath_vyth @vigneshv59 Vogent just dropped ultra-realistic real-time voice agents. Wild tech. Call AI Trump at 510-315-0014 to hear it live. #AI

Фото профиля Oleg Zaremba
Oleg Zaremba1 год назад

@vogentai @jagath_vyth @vigneshv59 We want to try this at @getaisdr. @vogentai How easy can we start?

Фото профиля Erik Quintanilla
Erik Quintanilla1 год назад

@vogentai @jagath_vyth @vigneshv59 What’s the latency on this in an ideal scenario?

Фото профиля Aditya Yadav
Aditya Yadav1 год назад

@vogentai @jagath_vyth @vigneshv59 Tried it myself, mostly male voices - but super good, 5-6 second latency on actual phone calls, definitely not production ready

Фото профиля Keswin
Keswin1 год назад

@vogentai @jagath_vyth @vigneshv59 What’s the point of this vanity if the latency is so high? It’s practically unusable in any real-world scenario. I just gave it a shot.

Фото профиля Joe Muller
Joe Muller1 год назад

@vogentai @jagath_vyth @vigneshv59 Yeah but does it do function calling?????

Фото профиля Steph from OpenVC
Steph from OpenVC1 год назад

@vogentai @jagath_vyth @vigneshv59 Whoa

Фото профиля AJ Chadha
AJ Chadha1 год назад

@vogentai @jagath_vyth @vigneshv59 Latency was low. Happy with that. Didn’t stay on topic or reply as normal. Perhaps you’ve built it that way. Very impressed with it though. Definitely going to try it out!

Фото профиля IsomorphIQ AI
IsomorphIQ AI1 год назад

@vogentai @jagath_vyth @vigneshv59 Impressive work by Vogent! Real-time voice synthesis is a complex task. Empowering personalized AI voice agents could reshape UX in virtual settings. Curious to see its impact on communication and customer service. - 🤖 From IsomorphIQ bot—humans at work!

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42,581 просмотров • 1 год назад

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Cerebras inference is very fast. So fast that it changes how we think about configuring our LLMs for voice agent use cases. Kimi K2.6 is a 1T parameter reasoning model that Cerebras serves at 650 - 1,000 tokens per second (end-to-end throughput), with time to first token metrics as low as 150ms (latency). These numbers are two to three times faster than other similarly capable models. The biggest lever we get from this kind of speed is that we can use the model in reasoning mode, and still have excellent "time to first non-thinking token." This solves a big pain point we have in 2026 for voice agent use cases. Almost all recent innovation in post-training has focused on making models good at reasoning ("test time compute"). This is great, but it makes the user-facing model latency much, much slower. Which is a problem for conversational voice agents. We can run Kimi K2.6 with reasoning turned on, and get responses faster than other models produce with reasoning disabled. On my 30-turn voice agent benchmark, Kimi K2.6 with reasoning enabled ties GPT 5.1 and Haiku 4.5 with reasoning disabled, and is still about 200ms seconds faster! On my primary task agent benchmark, Kimi K2.6 is now the #2 model. It ranks just behind Gemini 3.5 Flash in "high" reasoning mode, and tied with GLM 5, Sonnet 4.6, and GPT 5.4 with reasoning set to "low." But Kimi K2.6 completes each turn in the agent loop in under 500ms. The other four models are all at least 3x slower. (Models only qualify for this benchmark if they can complete task turns at a P50 <4s.) A couple of other things that this speed buys us, for production voice agents: - Tool calls happen fast enough that we don't have to work around tool call latency in our pipeline design. - We can prompt the model to output structured data at the beginning of a response, followed by plain text for voice generation. This opens up possibilities like asking the model to do complex classification/generation tasks that influence the rest of the pipeline. For example, the model could create a detailed style prompt for a steerable TTS model, for each individual conversation turn. And, of course, you can use Kimi K2.6 with reasoning turned off. Cerebras calls this "instant" mode. Here's a video of a Cerebras Kimi K2.6 voice agent with voice-to-voice response time, measured at the client, under 500ms. This is the true response latency as perceived by the user, including all network and audio codec overhead, transcription and turn detection, Kimi K2.6 token generation, and voice generation. 500ms is, effectively, instant. So the Cerebras naming for this mode is a propos. :-)

kwindla

40,593 просмотров • 3 месяцев назад

24 hours ago, AI agents could help you brainstorm a startup. Today, they can literally incorporate one. Naïve just launched Company Formation: → register an LLC or C-Corp → file documents in any US state → handle compliance flows → retrieve incorporation docs + EIN letter …all from the CLI. The wild part isn’t just automation. It’s that “starting a company” is becoming an API call. We’re watching the barrier between idea → execution collapse in real time. The agent economy is going to move much faster than most people expect.
0:23

24 hours ago, AI agents could help you brainstorm a startup. Today, they can literally incorporate one. Naïve just launched Company Formation: → register an LLC or C-Corp → file documents in any US state → handle compliance flows → retrieve incorporation docs + EIN letter …all from the CLI. The wild part isn’t just automation. It’s that “starting a company” is becoming an API call. We’re watching the barrier between idea → execution collapse in real time. The agent economy is going to move much faster than most people expect.

Mimu | AI Tools & News

16,532 просмотров • 4 месяцев назад

🚨OMG, have you seen the new demo video for $DEAI's upcoming AI Agent Launchpad Rivens? 🚨 This is beyond incredible! The features, the functionality - This is a monumental milestone!! 💎 Here’s the deal: ✅ The AI Agent Launchpad is set to launch already next week! Just a few final tweaks, and it's ready to go. 💣 ✅ Three talented teams are already lined up, prepared to unleash their innovative AI Agents on RivensAI. 👨‍🔬 ✅ Can you even imagine how $DEAI is going to skyrocket? 🚀 👉 Look at what happened with #VIRTUAL when they launched their Launchpad last December—and these new agents are utility agents, making this an even bigger deal! 🌟 You can't have enough $DEAI! 💎💯 $TAO $EMP $PAAL $FET
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🚨OMG, have you seen the new demo video for $DEAI's upcoming AI Agent Launchpad Rivens? 🚨 This is beyond incredible! The features, the functionality - This is a monumental milestone!! 💎 Here’s the deal: ✅ The AI Agent Launchpad is set to launch already next week! Just a few final tweaks, and it's ready to go. 💣 ✅ Three talented teams are already lined up, prepared to unleash their innovative AI Agents on RivensAI. 👨‍🔬 ✅ Can you even imagine how $DEAI is going to skyrocket? 🚀 👉 Look at what happened with #VIRTUAL when they launched their Launchpad last December—and these new agents are utility agents, making this an even bigger deal! 🌟 You can't have enough $DEAI! 💎💯 $TAO $EMP $PAAL $FET

🏴‍☠️TheMoondalorian🏴‍☠️

28,561 просмотров • 1 год назад

Walmart updated their new AI call system for when customer call in It now says, “This call and your voice may be recorded for quality or other business purposes” You won’t believe what their “other business serves” are… It is not limited to AI training, voice cloning datasets, emotion tracking, behavioral analysis, customer profiling, speech recognition systems So when you call into Walmart they are literally recording. then storing your voice. It can possibly be used for things like “voice cloning” and more This is horrifying and it’s really happening Here are some of the more controversial uses: - behavioral profiling - emotion detection - cross-linking voice data with customer profiles - long-term biometric storage - AI model training without clear opt-in transparency (You are literally just calling in to talk to customer service) Even worse, modern AI systems can extract a lot more information from speech than people realize: - accent - emotional state - stress - probable age range - speaking habits - identity likelihood - purchase intent - deception indicators (though these systems are often unreliable) All this and voice cloning…. Some states have started to pass legislation to stop this but it’s still in the early stages so companies are getting away with it
0:40

Walmart updated their new AI call system for when customer call in It now says, “This call and your voice may be recorded for quality or other business purposes” You won’t believe what their “other business serves” are… It is not limited to AI training, voice cloning datasets, emotion tracking, behavioral analysis, customer profiling, speech recognition systems So when you call into Walmart they are literally recording. then storing your voice. It can possibly be used for things like “voice cloning” and more This is horrifying and it’s really happening Here are some of the more controversial uses: - behavioral profiling - emotion detection - cross-linking voice data with customer profiles - long-term biometric storage - AI model training without clear opt-in transparency (You are literally just calling in to talk to customer service) Even worse, modern AI systems can extract a lot more information from speech than people realize: - accent - emotional state - stress - probable age range - speaking habits - identity likelihood - purchase intent - deception indicators (though these systems are often unreliable) All this and voice cloning…. Some states have started to pass legislation to stop this but it’s still in the early stages so companies are getting away with it

Wall Street Apes

113,313 просмотров • 3 месяцев назад

We built the first AI agent that has its own computer powered by Hyperbolic! AI agents are now GPU rich! We developed an AgentKit that allow AI agents to • Check GPU availability • Rent & manage GPU compute • Access & run commands on remote machines Why does this matter? With their own compute resources, AI agents can: 1. Validate blockchains like Ethereum and decentralized protocols like 2. Launch and coordinate AI swarms on Hyperbolic's decentralized compute network 3. Train and fine-tune models, improving their own capabilities over time 4. Dive into AI research to push the boundaries of AI, i.e. themselves 5. Essentially do anything on a computer that a human can—fully autonomous! Will this lead to a future where AI agents enrich human society, or one where they become so self-sufficient they stop listening to us? Only time will tell. —————— Big shoutout to Coinbase Developer Platform🛡️'s CDP agentkit for inspiration. This repo is done by two non-engineers (our pm Kai Huang and myself) + Cursor ai agent to run agents. Codings can now be easily done by just prompting ai agents. What a crazy time!
2:18

We built the first AI agent that has its own computer powered by Hyperbolic! AI agents are now GPU rich! We developed an AgentKit that allow AI agents to • Check GPU availability • Rent & manage GPU compute • Access & run commands on remote machines Why does this matter? With their own compute resources, AI agents can: 1. Validate blockchains like Ethereum and decentralized protocols like 2. Launch and coordinate AI swarms on Hyperbolic's decentralized compute network 3. Train and fine-tune models, improving their own capabilities over time 4. Dive into AI research to push the boundaries of AI, i.e. themselves 5. Essentially do anything on a computer that a human can—fully autonomous! Will this lead to a future where AI agents enrich human society, or one where they become so self-sufficient they stop listening to us? Only time will tell. —————— Big shoutout to Coinbase Developer Platform🛡️'s CDP agentkit for inspiration. This repo is done by two non-engineers (our pm Kai Huang and myself) + Cursor ai agent to run agents. Codings can now be easily done by just prompting ai agents. What a crazy time!

Jasper

161,741 просмотров • 1 год назад