Luca Ruzzola @lucaruzzola
Data and ML guy - Passionate about the future and how we can make it become the present. Joined June 2015-
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Timeline just accelerated a bit x.com/lucaruzzola/st…
Timeline just accelerated a bit x.com/lucaruzzola/st…
Literally AI psyops
First steps of this out in the wild x.com/angrypenguinpn…
First steps of this out in the wild x.com/angrypenguinpn…
It’s quite clear that answering questions is being commoditized, more and more the alpha will be in being able to tell which questions are worth asking
The next version of StreetView powered by generative models could be absolutely incredible
My simple #OSS package for #algebraicdatatypes in #Python has a new catchy name: github.com/lucaruzzola/al…… hopefully I'll have some time to improve it and clean it over the next few months.
None of the RHCP albums prepared me for this level of traffic
I’m from northern Italy and currently in LA for the first time and… there is so much more sky? It doesn’t make sense but… it does? Wtf
I’m on a flight connecting in London to LA. We are currently stuck on the ground due to aircraft issues and they can’t figure out what’s wrong. They just announced they’re going to turn it off and on again as a solution attempt. I’m definitely missing that connection
1980s: in 2020 we’ll be fighting aliens wearing exoskeletons and driving flying tanks 2022: you need to press a button to raise your hand to request to speak in a meeting about choosing SaaS accounting solutions
Absolutely incredible
Absolutely incredible
In the immortal words of Dwight Schrute: it is my birthday.
@chadjvalasek pstatistically psignificant
Just watched the #starhopper test from @SpaceX, absolutely amazing, I get goosebumps thinking about what this could mean in 5/10 years.
Lyft open-sourced their autonomous driving dataset from its Level 5 self-driving fleet. - 55k human-labeled 3D frames - 7 cameras, 3 lidars - HD spatial semantic map: lanes, crosswalks, etc - Drivable surface map level5.lyft.com/dataset/
Naive Computer Vision model that hasn't been trained on pictures of food vs real food :)
youtu.be/Ucp0TTmvqOE @karpathy on the true challenge of #deeplearning : data. Having a network of devices with AI capabilities enables you to truly scale.
Today I am speaking at #ECS in Stockholm about #deeplearning on the #edge! @Agile__Lab
How to debug Python, for beginners: 1. Carefully read the exception message. Repeat it to yourself 3 times, slowly. 2. Step away from the computer. Ideally, lie down somewhere. 3. Close your eyes, take 10 deep breaths. 4. You will have found your mistake.

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