Also Battlestar Galactica -multiple shots of homes in Vancouver- I remember watching the series and wondering what city was being used for Baltar's house and surroundings because it was so beautiful, futuristic and clean..then I went vistied Vancouver.. its truly a gorgeous city and area
For Pete’s sake lets outlaw prediction markets already instead of hyping them in crappy greed-posts like this one
I am embarrassed this “rationalist, I’m so much smarter than you, so I know better” asshole Scott Alexander hasn't been skewered yet for promotion of gambling (prediction markets) that people like Trumps son are making millions of on
All these prompt and skill based git repos are sus... nothing is benchmarked -its all so subjective and unproven and breaks with model updates -everyone and his uncle has a 'secret sauce skill' -that just proves to me the subjectivity of this endeavor.
That Fable Generated video is something else... wow I love it.. along with the app
Anyone who says LLMs can't reproduce intelligence I mean really? can you make this? its not just a talking database guys or a stochastic parrot...
too bad Fable was nerfed/gatekept by the Trump corruption selection committee..but the technology will not be silenced.. we just need to get humans ready for this capabilities. the jury is out on the future of that.
Exactly, I'm over 50 and I remember all the complaints about script kiddies who looked at windows bat files as opposed to all the 'real programmers' who knew C and Assembly and used VIM and linux (which is still going strong)
This horrible mentality is what ails tech bro culture today and ruined the tech world for me - chasing billions
Greed mixed with analytical thinking on industrial scale - graham, thiel, musk, hoffman, bezos, zuck all symptoms of “smart” people who screwed this country ultimately - all for what?
Has the changed world that resulted been for the better?
Why the heck does this have to be a scientific study? since when did SWEs publish archive style science peices.. lol a good blog post would have been better.
LLMs write working code, but have trouble following the script. They are slot machines of code. Human oversight is under pressure to deliver faster but code takes time to comprehend and analyze. Also in LLM coding, we end up with lots of natural language based spec files to manage and code we don't have an intuitive feel for unless we commit to the rigor of deep code review..(which no human really does anyway)
Ughh..Lets put people, humans, front and center again -I'm in the AI space too but when it comes to content and insight we need to be human focused and not machine driven. Especially opinion and insight pieces.
Bilal is not a writer he is a developer and founder. he founded a two person startup to use AI to produce podcasts. He calls himself a 'Product Engineer' which just means he is using claude and AI to develop..
The article he wrote has all the hallmarks of a lot of AI hyperbole and style. The author has some education in economics but no indication of any writing ability. so who knows what his real writing style is. I too can generate a similar article with Claude in about 30 seconds. Does that need to be read on top of HN too?
e.g this use of AI of the word 'line' is sooo annoying: The "they just overhired during COVID and are self correcting" line was the dominant"
So this ai article about ai is out there.. its out there influencing us even though it is largely speculation, hype and AI-content. The site he has is all AI written (which I am not opposed to but Bilal never worked at Meta, he never spoke with anyone in senior leadership.. So this is an opinion piece driven by AI influencer..that reaches the top of HN
Ok so what about its content here is the points he made (who knows how many he really thought of or that Claude created)
1. AI layoffs structural, not cyclical—"measurers" (middle management, finance, legal) hit hardest
Only producers/sellers and top leadership safe; the coordinating middle gets cut
(WHO knows if this is correct?)
2. Founder-led firms cut first—board trust buys 12–24 month head start
(Everyone is laying off, economy sucks, AI Cap expenditure and uncertianty..)
3. "10x engineer" becomes "1000x"; token data makes leverage brutally measurable
(not right now..yes for quickly built MVPs hardly as fast -1000x is just hyperbole)
4. Inequality explodes—first trillionaire soon, many to follow
(Pure speculation)
5. 2028 political backlash predicted: anti-elite, anti-AI populism, plus xenophobia
(sure maybe)
5. Regulation may cost U.S. the race vs. China
(hype driven influencer speil - AI is barely speeding up as fast as VC Bros are predicting)
I (50 Something AI Specialist) interviewed with 2 startups recently.. both passed -one said I was too qualified.. the other that I was too CTO type.. basically 20 somethings wanted other fellow 20 somethings -despite my AI experience.
I'm working with 3 other startups, but work is contract based, no healthcare and flaky..
eh, sometimes its just passive consumption, I'm not claiming it makes me a better person..but it rattles around in my head and latter bubbles up as creative solutions I think.. I would be an information junkie in whatever world I was in regardless..
http://www.battlestarlocations.com/locations-guide/the-minis...