hectormalot
Joined 14 years ago
Joined 14 years ago
I used to use TransIP.nl and while they are still good, they’ve gotten expensive over the last few years.
My example: we were doing single digit millions of automated call summaries a few years back at a major bank with GPT-4o. Smaller model gave more rejected summaries (compliance not happy), so we briefly looked at fine tuning a smaller model and basically concluded that even at that scale the effort of data collection, management, fine tuning, hosting the model, etc didn’t have a sufficient business case vs picking up other projects.
It is refreshing actually. They can accurately answer questions on how everything works and there is no subsubsubprocessors to worry about.
(1) Either you believe the threat is credible and you put it down at the nearest suitable airport in the least amount of time. Say Sydney at about 200km to your west, or FSP at 150km in the direction you're going (not a great fit, but doable). In both cases you could probably land within 20 minutes, a bit more if you aim for Gander (Fun history for that airport, great as an emergency diversion).
(2) or, you believe the threat is not credible. At this point you might as well continue the flight. Flying 90 minutes back does not seem (to me) to meaningfully reduce the risk if someone is actually planning to trigger a bomb anyway.
What am I missing that explains the gap between this and “constant DDoS” of the site?
Hey, I'm one of Stellar's founders. We're building AI for large contact centers, our primary product is voice.
Contact centers are the last place where companies actually talk to their customers. We listen to calls every week and it's fascinating. AI here helps real people: shorter wait times, 24/7 support, lower cost. We’ve helped companies go from 60 to 98% pickup rate in weeks. We’ve had (human) agents asking us to accelerate our roll out plan because the days with Stellar are so much better than the days without.
We’re all builders. Everybody in our company still writes code. We have one role open:
We are looking for implementation leads that love working with clients. FDEs welcome as well.
This role is perfect if you:
* Want massive ownership at a small team
* Actually enjoy solving hard problems (real-time audio at enterprise scale)
* Think making AI sound human in niche dialects is a fun challenge
Find the full vacancies here: https://www.stellarcs.ai/careers
EU work authorization is required. No visa sponsorship available.
Apply: e-mail is in my profile, please indicate HN in your e-mail.
Hey, I'm one of Stellar's founders. We're building AI for large contact centers, our primary product is voice.
Everyone thinks contact centers are boring. They're wrong. It's the last place where companies actually talk to their customers. We listen to calls every week and it's fascinating. AI here helps real people: shorter wait times, 24/7 support, lower cost. We’ve helped companies go from 60 to 98% pickup rate in weeks.
We're bootstrapped, 10 FTE, cash-flow positive, and growing fast with household names in the Netherlands and Belgium. Doubling our volume every month for the last 4 months.
We’re all builders. Everybody in our company still writes code. We have 2 roles open:
1. We need product minded engineers who can jump between our Go and TS backends and React frontend.
2. We need implementation leads that love working with clients. FDEs welcome as well.
This role is perfect if you:
* Want massive ownership at a small team
* Actually enjoy solving hard problems (real-time audio at enterprise scale)
* Think making AI sound human in niche dialects is a fun challenge
Find the full vacancies here: https://www.stellarcs.ai/careers
EU work authorization is required. No visa sponsorship available.
Apply: e-mail is in my profile, please indicate HN in your e-mail.
1: https://admiralcloudberg.medium.com/cleared-to-collide-the-c...
For some work, similar to the philosophy example of GP, LLMs can help with depth/quality. Is additive to your own thinking. -> quality approach
For other things. I take a quantity approach. Having 8 subagents research, implement, review, improve, review (etc) a feature in a non critical part of our code, or investigate a bug together with some traces. It’s displacing my own thinking, but that’s ok, it makes up for it with the speed and amount of work it can do. —> quantity approach.
It’s become mostly a matter of picking the right approach depending on the problem I’m trying to solve.
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