michaeldoron
Joined 1 year ago
Joined 1 year ago
Are there nepotism, favor trading, and walled garden clubs at play here? Yes, of course, this is a field with a lot of money exchanging hands and people are using whatever advantage they can get. Did the tech scene in the bay area attract a higher than average number of gay people? Seems like it, similar to other minorities who are over-represented for various reasons. But focusing on a "Gay mafia" instead of the more universal dynamics that allow money and power to be concentrated in a small population seems like missing the mark and directing public rage at the wrong targets.
We've done it before with targeting Jews, then lately people of Indian and east-Asian heritage, and now we seem to target gay people. If someone thinks the tech industry is not fully meritocratic, then they should tackle the dynamics that encourage that head on - the identity of the people who are over-represented will change over time, but the systemic dynamics that allow a non-meritocratic power concentration will remain.
We watch AI models become better each month, not in ads, but in blogs and posts. While not making cover stories, new models do make the news. I was so excited when Dall-E first came out, I even hosted a guess-the-prompt party four years ago with what seems now like prehistoric-level generated images. The AI industry may face more scrutiny and criticism than the computer hardware industry of the olden days, but we even have a semblance of open source communities who are trying to democratize this for everyone.
All this to say, similar sentiments still exist in the frontier, it's just that the frontier moved.
b. I acknowledge this is a tangent, but I would say the same about LLMs. They can have plenty of negative effects on society as a whole and individuals using them, but I found that when I use them as a tool for learning they are usually great and a net positive, both at the time of learning and later on when using that knowledge on my own.
I work as a ML researcher in a small startup researching, developing and training large models on a daily basis. I see the improvements done in my field every day in academia and in the industry, and newer models come out constantly that continue to improve the product's performance. It feels as if people who talk about AI being a bubble are not familiar with AI which is not LLMs, and the amazing advancements it already did in drug discovery, ASR, media generation, etc.
If foundation model development stopped right now and chatgpt would not be any better, there would be at least five if not ten years of new technological developments just to build off the models we have trained so far.
https://techcrunch.com/2025/06/18/6-month-old-solo-owned-vib...
As for mob or thugs, the literal translation will be "little teenagers", so mob or thugs will be stretching it a bit; more likely that the Arabic contemporary use of "Shabab" for troublesome youth is the best translation. Religious scholars have been criticizing Elisha for generations after for his sending bears at babies, so I think it's safe to assume the story meant actual kids and not organized crime.