Despoisj
Joined 10 years ago
Joined 10 years ago
It's not about a godlike self-improving AGI destroying the world (yet), but a more virus-like process that is surprisingly close to being possible today.
Not a malicious sentient agent plotting something evil, but just the AI version of a computer worm, replicating and hiding, hoping to move closer to its initial goal.
(Hopefully not to disassemble carbon-based lifeforms to make more paperclips.)
It's hard to see how we could effectively get rid of such a polymorphic virus, granted that the compute and weight size are small enough.
If interested, I've spend quite some time looking for more square flexagons, and made one with 12 and another with 14 faces (along with a puzzle version)! Tricky to build properly but stunning.
I didn't study machine learning per say, I followed dozens of online courses but no diploma in this exact field, and my last job was in traditional software engineering.
Despite this, I managed to do two small projects (one of music genre recognition [1] on my own iTunes library, and one of eye motion recognition [2]). For both I had published the code on my GitHub, and written a small Medium article to expose the problem I was trying to solve, the data available, the issues I faced and how I overcame them.
I personally believe that this is all the recruiter wanted to know, and why I encourage interns and candidates to work on their side projects.
References of the projects: [1] https://github.com/despoisj/DeepAudioClassification [1] https://medium.com/@juliendespois/finding-the-genre-of-a-son... [2] https://github.com/despoisj/DeepEyeControl [2] https://medium.com/hackernoon/talk-to-you-computer-with-you-...
=> "shirt -stripes" works pretty well on google at least
For which reasons did you not use a 5x1 pixel RGB image as the target, that would have been orders of magnitude faster to train?
Thanks!