rnimmer

rnimmer t1_iwyfxuw wrote

Reply to comment by qa_anaaq in Full Self-Driving Twitter by [deleted]

I don't necessarily think this is the case simply because Twitter isn't exactly a hub of innovation. They did have a machine learning program, but nothing on the scale of Tesla or OpenAI.

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rnimmer t1_iwyfeaf wrote

Reply to comment by pandasashu in Full Self-Driving Twitter by [deleted]

they wouldn't need to train an entirely new model, necessarily. they have been working on a model which controls interfaces through mouse and keyboard based on natural language instructions, according to Karpathy. Such a model may be designed to work on fine tuning, or few shot learning

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rnimmer t1_iwwdvna wrote

the only way it could work is through natural language description of the jobs, maybe training against internal documents. it's not outside the realm of possibility at all, although admittedly doing something this large in such a narrow time window seems very implausible

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rnimmer t1_iwwdk21 wrote

Reply to comment by KIFF_82 in Full Self-Driving Twitter by [deleted]

definitely not, in my opinion. most companies are like that, some worse than others, but I'm not convinced it's an overall bad thing for society as a whole. everyone does ultimately need to work and the alternative is further lining the pockets of shareholders with increased profits. employment seems better

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rnimmer t1_iwvlk7a wrote

Well, I myself am a developer and familiar with CICD and devops etc. If you approach the problem from automating those things, I'd have the same take as you. However, if you approach the problem as automating the actions of the engineers themselves on their machines, it becomes a totally different problem with some machine learning solutions available that closely resemble the ones you can use for self driving. For instance, large neural network architectures.

Karpathy has said that while at Tesla they had been working on AI that would autopilot computers at the mouse and keyboard level. He talks about it in the Lex Fridman podcast he did

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rnimmer t1_isr7q3p wrote

Your take assumes they will be unsuccessful at their mission. They are building towards an automated future. If they (and the rest of the industry) are successful, the economy will be transformed in ways not seen since the industrial revolution. The competition-driven profit motive is being replaced. This tech is way bigger than any one company.

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