687 karma · joined October 27, 2016
most people, use the office suite: Word, Spreadsheet , presentations, database.
I bet we're going to see the exact same thing with LLMs at specialized models instead of the everything models.
One for lawyers, coders, Accountants, Designers, etc…
We needed to decrypt them first.
That actually makes a lot of sense. Thanks for that insight.
What about the crimes happening in company boardrooms rather than on the street corners?
People often call crime, individual offenses and think of certain racial groups, while ignoring real crimes committed by corporations led by other racial groups.
The crazy thing is that the greatest harms are caused by people who are not target of surveillance technology .
Interactive element are distinct from text.
If webpage page is an interactive canvas , make the canvas the main thing ad text as support.
If you start mixing the two idk..
Me Raw php .
Many people here have machines that can handle all of AOL , yahoo, msn of 2001 combined in their closet .
I have been going backwards in time as an experiment . I use mature extremely documented tools . Has to be at least 20 years old
My guess is : collect all the prompt and their satisfaction score. group them by similarity . For each group pretrain the next model on that . Get these results ready.
Next model generation feed them back those answers.
Spaghetti code written by 5 developers will need 5 + 1 developers to manage.
Same in the AI age spaghetti systems built by agents, will need a greater agent to untangle the mess that itself has created
It speaks more naturally, unlike claude which litteraly just vomit jargon and random analogies.
It's very expensive. After 15 message I burned through my 5 hour limits.
Demos online are very biased toward fancy user interfaces and animations and video games
Say I write a text by hand And then I tell it to clean up the grammar and fix some sentences Did it make it?
This is also interesting for those companies that siphoned the entire open web
Now it's boring , not good enough
Wow there should be a term of that .
I am now wondering
We have our NeuroLinkBrain Implant plugin to AI agent , so that you can vibe code 24/7 . To maximize shareholder value.
Then they hit you with hourly and weekly limits, you are wondering when you are going to get cut off. Since LLM at probabilistic it often feels like pulling the lever of a slot machine, hoping our prompt is the jackpot. To make sure we win, we come up with systems, convoluted agents, context pipelines, rags to load . It feels like it's working, then bam you reach weekly limits.
(Just pay more if you want to keep winning).
I think developers need to wake up.
I myself started to use AI like a fancy debugger ,explainer. I make it walk me though every single line of code it writes.
I notice that i run into limits less, if i get cutoff, i can still make changes
An ide open with 20 tabs open each file a component, a class or an interface We also use to hold entire codebases in our brain.
How can small companies with 1000x less money able to provide live support, but if you pay 20, 100, 200 dollars for a subscription you dont have a phone number to call ?
Imagine running an GPT-3 Generation model on a raspberry pi . This would be great
it's as long as you're not doing anything wrong you don't have to worry about it Then once changed the definition of what wrong means.
If you're not a criminal you don't have to worry about it That's for your safety Then they changed the definition of what a crime is
I am asking because in my personal projects after a while they becomes a giant messy ball of wires and i basically trust the model to untangle it for me , by the time it untangles properly, I run into my token limits.
I mean i think if a developer has a good handle of the code the difference is marginal .
Unless we 100% offload the thinking to the model and act like a prompt manager. Maybe
I admit i use AI for coding definitely too but after getting disillusioned with it.
I will definitely vibe code a prototype to quickly validate an idea. Once i see how it might work. I start from scratch and become more manual.
The more quality i want in a feature to be the more manually i get involved.