Vlad Bondarenko

447 posts

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Vlad Bondarenko

Vlad Bondarenko

@vladmakes

CTO at @prspktvs, a prototyping company, writing a weekly newsletter on mental models https://t.co/4Y43uEavWA

Helsinki, Finland Katılım Mayıs 2010
180 Takip Edilen91 Takipçiler
Vlad Bondarenko
Vlad Bondarenko@vladmakes·
@ArtemGoutsoul @anverxt That, and the email opt-out! Also, would be very funny when their AI would start suggesting API keys and passwords 🙂 (yes, many ppl send them in Slack)
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Artem Goutsoul 🇺🇦
Artem Goutsoul 🇺🇦@ArtemGoutsoul·
@anverxt @vladmakes Basically GDPR says that by default you can't use the data for something that is not absolutely required to perform the service. You need to get consent.
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Vlad Bondarenko
Vlad Bondarenko@vladmakes·
@ArtemGoutsoul Well, I'm guessing somebody should report them before they can get investigated by the GDPR watchdogs 🤔🍿
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Perry E. Metzger
Perry E. Metzger@perrymetzger·
So let’s say you actually create an AGI capable, at least in principle, of doing the engineering needed for self-improvement. What’s that going to look like? Humans probably involve 100T weights, so even if we’re insanely good at it, we’re talking about many trillions of weights.
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hardmaru
hardmaru@hardmaru·
Rather than sign some letter to delay AI progress, I signed @LAION_AI petition to democratize AI research by establishing an international, publicly funded supercomputing facility equipped with 100K SOTA accelerators to train open source foundation models. openpetition.eu/petition/onlin…
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Mario Krenn
Mario Krenn@MarioKrenn6240·
The number of AI papers on arXiv per month grows exponentially with doubling rate of 24 months. How can we cope with this? AI itself can help, by predicting & suggesting new research directions. Predicting the Future of AI with AI: arxiv.org/abs/2210.00881
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Samuel "curry-howard fanboi" Ainsworth
Finally, my fav result: it's possible to train models on disjoint and biased datasets, then merge them together in weight space. Eg, you have some data in US, some in EU. Can't mix data due to GDPR etc. Train separate models, merge weights -> generalize to the combined dataset!
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Sergey Karayev
Sergey Karayev@sergeykarayev·
Here's a brief glimpse of our INCREDIBLE near future. GPT-3 armed with a Python interpreter can · do exact math · make API requests · answer in unprecedented ways Thanks to @goodside and @amasad for the idea and repl! Play with it: @SergeyKarayev/gptpy" target="_blank" rel="nofollow noopener">replit.com/@SergeyKarayev
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Vlad Bondarenko
Vlad Bondarenko@vladmakes·
The burden of safety and liability should be on business deploying the end systems and profiting off it - not the researches and individual contributors, who want to focus on advancing tech and who don't have the money and resources for legal compliance.
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Tim Urban
Tim Urban@waitbutwhy·
Deep in many people's mind is a Denial Prison, where especially unpleasant thoughts are locked away like monsters in a dungeon. But the scariness might be the work of your imagination. When you free them from the prison, you usually find out they're not such a big deal after all.
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Sahil Bloom
Sahil Bloom@SahilBloom·
A “razor” is a rule of thumb that simplifies decision making. The most powerful razors I’ve found:
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Vlad Bondarenko
Vlad Bondarenko@vladmakes·
"As far as life philosophies go, "The right time is right now" isn't a bad one. Most of us would benefit from a greater bias toward action. If you move fast, you can try more things. And if you try more things, you're likely to find something that works for you." –@JamesClear
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