87 karma · joined August 30, 2019
https://www.statnews.com/2025/03/26/rfk-jr-vaccine-study-of-...
https://www.scientificamerican.com/article/the-real-reason-a...
Some portion of the rise in autism rates may be unrelated to better diagnosis. The likelihood of having an autistic child increases for older parents, and there is a societal trend toward delaying childbirth across developed countries. Children who are born prematurely are also at a heightened risk of autism, and improved neonatal care means many more of these children are surviving to childhood and beyond.
The orchestration of LLms that will be reading transcripts, reading emails, reading case law, and preparing briefs with sources is unavoidable in the next 3 years. I don’t doubt multiple industry specialized solutions are already under development.
Just asking chatGPT to make your case for you is missing the opportunity.
If anyone is unable to get Claud 3.7 or Gemini 2.5 to accelerate their development work I have to doubt their sentience at this point. (Or more likely doubt that they’re actively testing these things regularly)
I’m sorry man but I don’t believe you at all.
Could it be that, kids are doing less drugs because they’re more informed, less bored, and less reckless than previous generations?
We all aspire that our kids will do better than we have. We did our best to instill a sense of confidence and worth in them.
What if it is finally starting to just, f’ing work?
Friendships increase team communicability which bolster project success.
Time of purchase upgrade ability, if we’re talking about getting to 128 or 256 GB of RAM. Time of purchase to upgrade to multiple high res screens that match. Dedicated GPUs… I bet there is a top of the line home hobbiest LLM oriented GPU from Nvidia or AMD in the next 3 years that will cleanly connect to recent chip architectures. I doubt it will run optimally tied to a Mac. It’ll be something that you could also rack in a server.
He’s making contributions in Rust already. His opinion isn’t invalid just because he has a bias, he opens by acknowledging his bias.
Using it to help trouble shoot errors in logs when you’re feeling frustrated, and get a basic framework up from scratch to start modifying toward the your goal are the best use cases I’ve seen. The ability to get yourself unstuck in minutes is life changing. The biggest constraint right now is short term memory loss. It can nearly always recognize on a second pass through what mistake it made.
Keep in mind 32kb token requests are already in beta… and 4kb requests are what you have access to now. So… the memory thing is potentially a dead point soon. Though at 6 cents per 1kb if it actually has to volley 32k over to you it’ll almost cost $2.00 based on current API pricing.
That 32k option would allow GPT-4 to hold every non-monolithic project I’ve ever worked on in working memory. The pertinent parts anyway, it wouldn’t need to read CSS files or imported modules unless it really gets forced down a specific rabbit hole.
This will be one more reason new projects won’t be monolithic architectures. Easier for the AI to help out.
Agree to disagree. To lead in technology you need a strong BS meter. You need to know what is and isn’t possible, for yourself. You can’t just take the advice of who you think might be the smartest guy. Everyone is not always going to agree on a technology decision and the same person won’t be right every time. If you don’t have an ability to pierce into the weeds and discern the real truth you’re not bringing much value to the business at all. Any jack wagon can stand around imagining what “the future of technology looks like for our organization.”
Yeah. sure. Which vendors proposal do you pick based off analyzing their stacks and devops procedures? The one that smells nicest? The consultant that bought you a steak?
Your tech leads think you should use one architecture, your consultant insists it’s another. Who is right never-made-software-before-cto-jack-wagon?
You’re just going to pick the guy you like the most or that was the more persuasive communicator. Every time.
I guess if you’re a CTO that doesn’t have to make technology decisions and just… dreams big dreams and is a great people person? It can work?
I’ll pass on working for that guy though.
Each job is a dependency for the next job. A long build time either indicates that individual assembly technicians have too many steps in their job (it is much harder to remember 25 steps than 5 steps) or that the plant is assembling more parts locally than their competitors. If you have an engine shipped in complete from your supplier that is less time your plant spends assembling a dependency at build time.
Electric cars should in theory assemble much faster than gas. Fewer parts. Less complexity in the mechanical assembly of the drive train.
When corporate overlords dictate that an assembly plant meet production numbers that it isn’t capable of accurately producing they shell out complete garbage. Inspection lines flag errors that managers ship with disregard in order to meet numbers. Every time.