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Curated tech Twitter/X posts on AI, startups, and product development—signal without the doomscroll, updated on weekdays.
Press Space to continue
Press Space to continue
Google DeepMind researcher @weballergy warns that investing in AI without expanding scientific labs could leave humanity with more hypotheses than it can test: "Intelligence is an enabler for advancing research, but it needs to be followed by similar investments in the infrastructure to deliver on the promise." "For many sciences that are not strictly computational, you need to have physical laboratories to validate those findings or disprove them, because at the end of the day, some of them…
We often hear promises for what AI may enable us to achieve, towards public good, and with human well-being in mind. Yet, many of those promises remain tentative and unfulfilled. At the same time, we are seeing unprecedented progress in capabilities like coding or mathematics. Why is there a gap?