239 karma · joined August 29, 2017
I built clawr.ing so my agent can call me on the phone for urgent things like emails I’m waiting for or issues in production for any of my products
I thought it would be cool to have it reach me proactively when something I care about happens instead of having to look for a notification or ask it directly
The result is pretty surreal, being out for a workout or groceries or something and getting a call about a stock price or an important email feels like I was suddenly transported into the future
It took quite a bit of effort to set up though, there’s a lot of complexity to routing calls in a cost efficient manner and generating realistic human like speech
I’m happy with the result though, you can reply back and the agent can run any tool call while it’s on the call with you, and if it takes a bit of time as in for a web search or so it will put you on hold and you will hear hold music for a few moments
but crucially, it assumes that variations in submissions and voting activity are strongly correlated, which I imagine is not necessarily the case
Having to "if err != nil" every single function call is a big put off - imagine having to "try catch" everything in a language like C#!
Not requiring a world around the brain does not make it more likely, but less, as the probability of brains given that worlds exist multiplied by the probability of worlds is still much higher than the probability of brains regardless of the existence of worlds
https://marcospereira.me/resume
email@marcospereira.me
Background in web, machine learning, and games. Deep learning research at MLC under Rosanne Liu (Google DeepMind). Taken multiple products from zero to market, working with teams ranging from early-stage startups to established corporations. Working remotely for 10+ years.
Location: Porto, Portugal
Remote: Yes
Willing to relocate: No, but open to traveling periodically.
Technologies: JS/TS, C#, Python, Unity, and a lot more
Résumé/CV: https://marcospereira.me/resume
Email: email@marcospereira.me
Background in web, machine learning, and games. Deep learning research at MLC under Rosanne Liu (Google DeepMind). Taken multiple products from zero to market, working with teams ranging from early-stage startups to established corporations. Working remotely for 10+ years.1/2 = 2 * 1/4
Isn't that by definition?
Why? Because git stores deltas?
At a first glance I'd expect a binary file to be radically more compact than the plain text equivalent.
https://marcospereira.me/resume
email@marcospereira.me
Background in web, machine learning, and games. Deep learning research at MLC under Rosanne Liu (Google DeepMind). Taken multiple products from zero to market, working with teams ranging from early-stage startups to established corporations. Working remotely for 10+ years.
Location: Porto, Portugal
Remote: Yes
Willing to relocate: No, but open to traveling periodically.
Technologies: JS/TS, C#, Python, Unity, and a lot more
Résumé/CV: https://marcospereira.me/resume
Email: email@marcospereira.me
Background in web, machine learning, and games. Deep learning research at MLC under Rosanne Liu (Google DeepMind). Taken multiple products from zero to market, working with teams ranging from early-stage startups to established corporations. Working remotely for 10+ years. Location: Porto, Portugal
Technologies: Machine learning, web, and games.
Résumé/CV: https://marcospereira.me/resume
Developer with a background in machine learning, web, and games. MLC research lab member under Rosanne Liu (Google DeepMind). Unity asset store publisher.Full time availability but open to partial schedule. Willing to travel periodically.
Location: Porto, Portugal
Remote: Yes
Willing to relocate: No
Technologies: Machine learning, web, and games.
Résumé/CV: https://marcospereira.me/resume
Email: See resume
Developer with a background in machine learning, web, and games. MLC research lab member under Rosanne Liu (Google DeepMind). Unity asset store publisher.Full time availability but open to partial schedule. Willing to travel periodically.