Head of AI Engineering @ Acuity Health Building AI voice agent infrastructure for medical enterprises
United States
Joined June 2014
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Read our case study with the @livekit team! Best infrastructure partner for building realtime agents. Leverage their new simulation features to continuously improve your agents over time.
“In today’s world, ‘low code’ really just means ‘low customization.’”
@_kyleshechtman and @chasef07 started Acuity Health on a low-code platform, hit a wall, and rebuilt on LiveKit. Now 80% of patient calls are fully handled by their agents, and most bookings take under a minute.
Read more: livekit.com/blog/how-acuity-…
A lot of new speech-to-speech architectures landed this week. I think @OpenAI got it right with the speaker + thinker split.
I just deleted two tool calls (knowledge base + insurance lookup). Now I dump the full context into the thinker and let it reason.
In a cascaded setup that wasn’t possible. You were stuck with a small, non-reasoning LLM with limited context, so it was too slow and hallucinated.
A reasoning model in the loop changes that. One voice model that does tool calls reasoning and speech is not there yet due to context window.
Chase Fagen retweeted
True
It’s almost incomprehensible how wide the distance is between someone who’s working at the frontier with AI and basically everyone else right now.
The crazy thing is these lines are not converging, but only growing farther apart. If the curve of AI progress had leveled off, it would certainly have given most people and companies time to catch up or implement their workflows in a standardized way. The technology would have neutralized competitive advantage because everyone would be using it the same way.
But what’s happened is the opposite. The curve of AI progress is basically going vertical right now, which means if you had codified your processes 3-6 months ago you’re likely already behind again. Now imagine most companies that kicked into gear a year ago and thought that they were done. Even further behind now.
I’ve never seen a technology in my life and career that improves at this rate, which consequently means you need to upgrade your expectations at a similar rate. Our brains weren’t wired for this, and our organizational change management processes certainly weren’t either.
With any form of recursive self improvement, things just get wilder. It’s a time when you will need to be constantly reevaluating the things that didn’t work just a couple months ago to see if they now can be solved. AI native companies certainly have a strong advantage due to this right now, so now it comes down to can the bigger companies keep up. Wild times.
Chase Fagen retweeted
most people are using AI to build more.
∙ more features
∙ more pages
∙ more stuff
i believe the bigger unlock is using it to make one thing really, really good.
∙ speed up your slowest endpoint
∙ make CI faster for the whole team
∙ fix the bug everyone stopped noticing
can @posthog actually improve conversion rates? Why cant i just build funnels myself? anyone have experience that this makes your business better with examples?
Congrats @lilyjclifford and the whole Rime team! Love Rime's philosophy to AI-human interaction and excited for the Prism model which can be fine tuned with RL after launch to your use case!
introducing prism, the world’s first speech-to-speech model you can’t tell from a human in conversation
prism has:
> 300ms response time, 4x faster than OpenAI GPT-Live
> outperforms every other s2s model on intelligence (with NO reasoning)
> the first s2s model customizable through reinforcement learning
we’re a team of 35 with $35M in funding, and we’re unlocking s2s model adoption faster than openai, google, and x.
the first 100 people to sign up here get 1 month free: rime.ai/prism?utm_campaign=p…
i see my search bar went away on my mac air nd now i have siri ai i said pull up my terminal and it was fast and worked
Chase Fagen retweeted
Announcing three major scientific discoveries, one each in mathematics (harmonic analysis), computer science (complexity theory), and physics (quantum field theory).
AI starting to help us improve our understanding of the universe! openai.com/index/building-sc…
Chase Fagen retweeted
Computer use is becoming faster than humans, and cheaper too
OpenAI's Ari Weinstein: "We've gotten computer use now to a place where it's faster than the average human at using a computer, and I think we're getting really close to a place where it is superhuman."
And it already costs a fraction of human labor per hour of back-office work:
- Computer-use agent: $6-8
- Offshore outsourced talent: ~$10
- US back-office labor: $30-45
OpenAI's computer-using agents can now operate almost any app the way a person does, clicking and typing through software that never got an API, and the team building them says they're close to beating expert humans on speed.
Ari Weinstein works on OpenAI's consumer computer use products, and James Sun works on the enterprise side. Both were startup founders before joining OpenAI.
They join a16z's Seema Amble and Fabrizio Serafini to discuss what OpenAI's Astra model changed for computer use, the controls enterprises need for agents they can no longer watch, why computer use works as a universal API for legacy ERPs and finance systems, and why they think cheap software will push UI to get better and more personal.
0:50 What Astra changed for computer use
3:23 Consumer vs. enterprise computer use
5:43 How James runs his workday with Dots
8:06 When computer use becomes superhuman
10:01 How much autonomy to give agents
11:36 What agents mean for ad-supported sites
13:51 Computer use as the universal API
17:21 Getting enterprises to trust agents
20:22 Why the best use cases are the boring ones
25:37 Why UI isn't going away
32:38 Advice for founders building on agents
37:31 Making computer use feel coherent
40:57 Computer use's scaling moment
YouTube: youtu.be/9v42ZOdiBJY
@AriX @JamesZmSun @OpenAI @seema_amble @fabserafini
self evolving software. self evolving systems. recursive self improvement.
agent is what you paid for. works and its great. everyone is happy.
catch more edge cases? quicker bookings? less transfers?
what are YOU optimizing for? not me. u
should i tell this older gentleman sittingnext to me about coidng agents? he is typiung code by hand
this technology will help patients get better care, have people feel comfortable speaking their own language, and make human-tech interactions so much more enjoyable
We believe voice is the most natural way to interact with intelligence, so we created Dessa, the most authentic full-duplex speech model ever built. Talking with it feels like talking with a person…full of emotion, nuance, pauses, and a natural cadence.
block.xyz/dessa
Chase Fagen retweeted
We believe voice is the most natural way to interact with intelligence, so we created Dessa, the most authentic full-duplex speech model ever built. Talking with it feels like talking with a person…full of emotion, nuance, pauses, and a natural cadence.
block.xyz/dessa
