1,815 karma · joined June 21, 2022
There are instances where we don’t exist. We exist here right now though which is cool. Say what you want and shoot your shot.
wow.. i am a bit speechless, but i am not sad anymore. i feel happy, that there is something better now (hopefully)
i recently used street view to look at the places i lived in with my parents growing up.
we only ever lived in apartments, and i remember as a kid i was sometimes embarrassed (looking back it pains me i felt this way, because i was getting bullied at school over it) by our car for example which was a old mazda my dad purchased for like 2000 bucks. it was missing hub caps, rusting on the side doors.
but it was the car that my dad would drive to drop me off at school before commuting for almost an hour and 15 minutes to his job one way.
it was the car i learned how to drive. i remember the steering felt so good, i still miss the steering feel even tho now i've driven some really nice cars.
anyway.. i saw our old car and i actually cried. took screenshots of it, and put it in my iCloud.
these are businesses, after all. curious to hear what you guys think.
pray to the Omnissiah the machine holds!
i mean.. i get it. (point 1) i'd never do it. (point 2)
i also said, it is the internet and people will do that because famous people are... famous... and if there's an AI video of a famous person that I do like, i will give it a like.
if Robin Williams was some guy who worked as a cashier at Trader Joe's his whole life nobody would care
maybe Robin Williams should have never been an actor then he'd be unknown to the masses, like 99% of us on HN
i see AI edits of people who aren't here anymore like that guy charlie kirk or george floyd (to pick examples from "both" sides), i saw ai edits of alan rickman (guy who played Snape in happy Potter), and there are edits of napoleon or others.
if my dad was a famous actor known by literally 100s of millions of people, that was my dad's choice to bring that on himself. just being real.
people trying to compel other people is just an L take
they're working on the ad tech business and other business-related systems involved including internal tools.
and all the other platform engineering shit under the hood that makes much of the web scaleable... and lots of it is open source and contributed to by various engineers from these companies.
end of the day, these are businesses. they're not charities or whatever casual shit.
nobody is stopping you from building a competing product that's lean or whatever.
why don't you do something like that? i'm sure you're a genius.
We'll stream everything, so "computers" will exist in the cloud and users won't have to worry about upgrading their machines.
They'll just pay a monthly fee like for mobile data or whatever, and you just connect via screen.
All these data centers and shit around it (internet, etc.) will be actually useful to every day consumers.
Why should I have to upgrade my GPU every 2-3 years? I should just be able to pay to get 4k streaming top of the line graphics.
And <25ms ping latency will become a human right. Only back water countries will see their people having to suffer loading screens and 150ms+ ping
/s btw (in case you're oblivious or something)
"chat i'm about to drop a conjecture"
literally what software engineers were doing for decades though
software is mostly just simple math, for the most part, until you need to do something more complex for some hairy algos lol
there are a lot of software engineers working on boring ass-tier software like some shitty accounting systems or banking software.
this is the best time to go build something cool that YOU care about. i'm sure you have hobbies which could benefit from good software, or maybe you wished there was some cool protocol that existed that would make other devs lives easier.
i think most people are automatons and can be programmed.
it is the most moral thing to program people to operate in ways that causes least harm to everyone else around them that has to live with them.
people like certain foods, outrage, and gambling/fomo.
you're clearly not equipped to handle interacting with other people who might have different opinions from you. what's with the white knighting? you're telling people to fit your world view.
you do realize the title of the article posted is literally "I don't like LLMs" right?
someone else gives their opinion
"waaah"
fyi
it is a tool after all.
already been through one IPO where i was an early employee so i’ve never really had to work with morons.
life of a w2
been building stuff for years, so i'm not just some w2/1099 type guy who bike sheds for a living lol
this stuff is new... obviously it is a fast moving space.
when you have chains of agents working seamlessly, where agents are managed by themselves (like spawning a new chain to do some scope of work), and it just sort of works on a infinite game loop, your system continually keeps improving as it works. at least, that is the goal with the systems i like to build.
you have to do your due diligence, obviously, as you would with any TOOL you use. in that case it means having specific goals, methodologies, etc. that each model has to follow. (if one is a "hey grok explain this" type of person when it comes to using ai, ngmi)
we have one agentic workflow where there are 4 different models that can be spawned (to handle tasks of various complexity), that work against an API (the source of truth). their goal is to work any time a specific file is uploaded, and handle it. it is a complicated file, with 1000s of line items, with varying amounts of uncertainty involved.
it happens in the real world today, where it costs $xxx,xxx per year to do. because it involves many people and companies... it is done totally manually today..
how it works in order to get to that resolution is different based on the complexity of the task... sometimes there's bad data in the mix because people make mistakes when they create stuff (we're not special). in this case it requires finding out whether it is indeed bad data or actually correct. that requires setting up a scheduled job, and handling it when there is a resolution.
i don't code this part. how this gets accomplished... the agents are able to work autonomously to handle any edge case, in order to complete the goal. the goal in this case is to ultimately record transactions (a goal of a business is to make money, believe it or not).
does this not make sense? jeez hacker news used to be an imaginative place.
the model that we pay $10-20 per 1M tokens will be $1 per 1M token next year.
And the model next year that we can pay $10-20 per 1M token will be even better than Astra and Terra/Sol/Luna. It is an exciting time.
98% of people think AI means what gemini tells them when they do a google search.
of that 2% who go beyond... maybe 20% of those are using AI to code.
most SWE still think "using AI" to code means the copilot pane they open on the side in VSC. they get sloppy code output and think "ai sucks!"
so of that 20%, maybe 5% have actually explored what an "agentic" workflow even means. they might use skills, set up their code base so AI almost NEVER makes a mistake. maybe 1-5% of that 5% actually went deeper, and those are the people who built tools like Cursor or Harvey or whatever other "agentic" companies.
you are still thinking about the old world where you obsess and define data models and bike shed over data integrity, all the while you have a "temporary" table with 3 attributes that gets 2 million queries per second that's now holding up a bunch of other shit that's also glued together.
> I could not think of a worse technology to use for an ETL pipeline than throwing LLMs at it and asking it to vibe out the correctness of the data every time it runs.
like i said, if you are still having quality issues in 2026, that's a skill gap.
also, agents now continually improve the process.
for a business, the only thing that matters is transaction log. for 99% of businesses, swe are a cost.
again this is like baby steps on the journey. we are still only 3 years into this technology being opened up to masses.
i'm sure people thought computers were dumb, or that cars are stupid because the first cars were moving slow af. "we have horses, why do we need to build out roads to get anywhere"
but you're free to feel smart doing 20/20 hindsight on things 100+ years from the future
with a bunch of competition, the best will be incentivized to not have these noob tier issues.
use your imagination to solve problems people face and pay $$$ for today that is error prone and hard.
i’ve got agentic workflows for the particular industry im building for, one of which that replaces the need to hire $500+/hr services.
in this particular workflow (don’t want to reveal too much, sorry this is my competitive advantage but you can figure it out for your own workflows) a $4/1M model ingests a file that is currently used in a extremely complicated program that few people understand how to use.
it parses the data, loads it into a database, and then spawns a bunch of other agents that check the data against work in flight. there’s checks for bad data. in that case, more agents are spawned that reach out to the involved people or parties for clarification. if it cannot figure something out it reaches out to the right contacts for more information. while this is happening, more agents begin doing work that involves continuous reconciliation against 100s or 1000s or more things in flight.
as files are uploaded, or updates from people come in, agents do work to ensure things remain on track.
people are able to work across languages and cultures, and my agents ensure that while people can make mistakes, it will catch them in real time and ensure continuously monitor the situation.
it’s pretty nuts how much inefficiency agents today can solve. it takes patience to run tests and tweak shit until it works.
*** the really cool thing is that more capable agents can continuously monitor how things are going and improve the workflow itself… so all i need to do is maintain the actual tests. ****
i loved writing tests back in the day to ensure i built good software. today we write tests to ensure the business can run.
have you guys actually designed, built, and deployed agentic workflows?
it is actually quite hard, requires tons of time spent on evals and testing to ensure accuracy, but when it starts to work it is mind blowing.
there is no going back.
listening to people yap about AI when they have only surface level or one dimensional exposure to LLMs and "AI", but have not actually put innovations to work IN PRACTICE.. is a waste of time
never said you should not do it or whatever.