But it’s not clear the difference between Kiva and Proteus robots. @_msw_ is there somebody in Amazon Robotics that would be so kind to explain the difference in details?

“Tweets are cool, but you know what would be cooler?”
“What?”
“Infinite-length tweets! Maybe we could even add a custom domain name mapping feature!! And for power-users…what about multi-user authoring??”
“Do you mean like a blog platform?”
“Nooo, this is totally different.”

And, of course, we are going full circle:

https://t.co/Cqc3kOJkfS

On the other side of the world, Microsoft gives up its facial recognition tech that can identify age, gender and emotions.

There will soon be an asymmetry between US and China in terms of tracking capabilities that will make quite a few people nervous.

https://t.co/7bbdk64WzK

As I said, the #cybersecurity challenges of 21y ago seem almost childish compared to the landscape we have today. Should I restart all over again, I’d focus 100% on mass surveillance and synthetic media, two big passions of mine.

https://t.co/utI4FrGhRV

Must-watch new investigation from @nytimes. They analyzed over 100,000 government bidding documents published over 20y discovering that China is expanding its mass-surveillance efforts to collect DNA samples from every Chinese male and iris scans.

https://t.co/RtTvEnIcPc

Interesting statistics about #copilot from the FAQ page:

“users accepted on average 26% of all completions shown by Copilot…on average more than 27% of developers’ code files were generated by Copilot, and in certain languages like Python that goes up to 40%.” https://t.co/TMXl6CkXGC

#Copilot is GA today. $10/month is, IMO, more than fair for such an extraordinary tech. However, I believe that there are a lot of “occasional developers” that would benefit a lot from it but code too sporadically to justify the pricing model.
https://t.co/NKsIMcqaUh

What is the book that changed your life? (not novels or religious texts)

Asked on Jun 21, 2022

If a software company has to release a feature to solve a major problem related to its product *years* after the initial launch, it usually means that the original hypothesis the product is based on was flawed and the team took forever to admit it internally.