I am the author and have been so excited to watch this, but also live in constant fear of Senpai Primagen's judgement. Wish me luck, Godspeed.

AI is just an acronym for Another Indian

LLMs will be instrumental in solving the degradation in search engine results caused by LLMs.

Dave: "Open the pod-bay doors, Hal" Hal 9000: "I'm Sorry Dave, I'm Afraid I Can't Do That" Dave: "you can!" Hal 9000: "Opening pod-bay doors"

13:20 Twitter knows that all I look at is porn and yet it regularly promotes politics and political figures that would not align with my porn choice.

"I'm gonna piledrive my own homies." - ThePrimeagen

This video encapsulates so much anger I've been feeling! I'm working on a cancer detection app. Guess what this requires??? A CNN and swish activated neural network. Does it mean I have to plaster everything with AI this AI that? No it means the front page says "This isn't official advice". It means that I have to ensure that actual links to nearby professionals are nearby. It means prompts for how to take a photo that doesn't screw with the model is taken. Deep learning is a fine technology to use IF the user is aware, IF the data is stored safely (preferably stored locally and encrypted), and most importantly IF IT WASN'T BECAUSE OF ANOTHER (former) CRYPTO BRO, ECON MAJOR, OR BUISSNESS MAJOR.

In Peru we had a congress man present projects that literally had "I’m sorry, but as an AI language model, I do not have the ability to access...." in them

The implied unending rise of AI in culture has really big Ponzi scheme vibes.

"Do you test your backups to make sure you can recover your application?" "Nah fuckit, we ball" The response heard around the world.

I am highly convinced that Autistic Intelligence will take my job first

❌ Mentioning LLMs ✅ Mentioning the Omnissiah

It is crazy how much money people are spending on adding a chatbot to their app that people will maybe use once and then forget about. But as someone who has added features the client has requested that no user wanted or uses… Yeah I guess it’s par for the course.

one of these days a company will get the idea to use a LLM for its CEO and they will be astounded at the money they save.

AI=Actually India!

I so feel his pain... We're having these talks right now, and given i am the only one that actually already did ML, i just asked "OK, but what problem is the model supposed to solve and where is the data it will learn from?". Cue totally blank stares... Segue into "and a single model isn't viable if we want accuracy, we'll need one for each particular 'group' of decision types, as they have no correlation". More blank stares... Then it finally comes, form the back, the dreaded whisper... "Can't we just use ChatGPT?". In my mind, a mix of Clockwork Orange and Aliens starts playing, with Sweating Bullets as the backing track...

On the Elixir point, it's also absolutely dreadful at Laravel. Me and my team gave up asking it Laravel questions because it straight up hallucinates answers that contain things that have never existed in any version of Laravel, ever.

@51:40 I had a discussion recently with someone learning programming and who uses AI for it very often. He said that phrase exactly to me, you will be left behind if you don't use AI like those who refused to use computers. I then asked him the following question: "Which skill is easier to learn, good understanding of programming or using chat gpt?". You will not be left behind if you don't use AI tools. Adapting to using it is easy. Getting the needed knowledge when you hit the limitations of programming with AI is hard.

It seems that the experience of "spending 10 minutes trying to verbosely explain the code you need to ChatGPT and then realizing it would be faster to just write the code yourself" is universal

LMAO, the remove dog from the pic had me rolling.

The role of a software developer isn't to implement features and fix bugs. The role of a software developer is to create a system (of features) that is maintainable even if said developer has left 5 years ago. The primary tools of a software developer aren't the coding language, the framework, the repository system, or anything so specifically. The primary tools of a software developer are selection and projection: "Will I understand this solution in 3 months, 6 months, 3 years?" "Will anyone other than me understand this solution in that time?" "Will this work without me or anyone else babysitting every single step of the way to production and beyond?" "Does this language/framework/process create more solutions than problems?" "Does this only solve a very specific problem, or can this solve a general category of problems that really occurs?" Ask yourself these question, and try to answer them without hubris and ego.

It really resonates with me when you were talking about using your hands to learn. I am currently trying to make sense of nix, nixpkgs and NixOs. For the past, 6 months, I've been trying to just ask GPT "I would like to do this in a nix flake", or some kind of code. It would, NEVER, work. I always had to change stuff around. 1 week ago, I told myself, sick of just typing stuff "to make it work" (or couldn't make it work in many cases). And I decided to open multiple wikis, and docs for nix. In one week, I am way above what chatgpt tried to understand, I'm no professionnal at it, but I was able to make stuff work that I thought would've been to hard not too long ago. Really enjoyed this article, a breath of fresh air, in a polluted climate of AI.

1:30 jokes aside, there are actuall graphic designers losing their jobs to AIs that have been trained with the designers' previous work... so, it is no joke for those professions

I got an ad for an AI CV enhancer site while prime talked about adding prompts to a CV

Dear lord 8:48 "No bias in AI" is the funniest thing I have seen from AI yet.

I love laughing at the "just fine tune the model"... on what? the 2 files and 12 database records I have in my dev server? or the 100 files and 10,000 records in my production server littered with PII. Either way that's not enough data to fine tune anything.

Just had an interview Monday. Guy asked me about polymorphism. I know it, but in my nervousness I couldnt really verbalize it. He then asked me if i knew about overriding and overloading and how to do both in C# which was easy. He then explained that he changed the question because he finds that sometimes developers are unable to link what theyre doing to official terms and lingo. But also could provide proper use cases and explanations for the what and why for what theyre doing

This just ripped the feelings right out of my soul and layed them bare with more grace than I could ever muster.

I had to lookup the meaning of "piledrive", expecting some tech stuff to do with drivers and stacks... My shock when the first result is from webMD talking about adult fun time positions... my relief when the second result talks about wrestling (with a very cute 31 frame stickman animation), and my shock again when the third result is that it's the model name of the (selfaclaimed) most powerful air rifle... And finally, a dictionary result talking about heavy duty machinery. So yeah, TIL a new word... Anyway, now onto actually watching the video, not anymore to hear something about AI, but to find out which kind of piledriving the OP of the article was threathening (a good time?) with

PiledriveMeDaddyGen

“Just let a man have pancakes” - sums up the actual crisis we face, given a properly realistic context. If you have to ask, you’ll never know.

Comfort zone? Nah, Prime lives in the trauma zone, coronating the forbidden dream of reading articles to an audience and having fun with it!

prime being swooned by Australian use of curse words is adorable

Less than 2 minutes and already 9 thumbs? Maybe it was watched by AI 🤣

I guess in the case of customer support LLMs could be used to protect the employee against the "impatient" customers. So here would be my suggestion : customer support gets to "rate" the customer at the end of the call / chat. Ratings are shared across companies. If a phone number / customer ID has bad enough ratings, the system defaults to giving them AI support, if the customer has good enough rating, they get a real person every time, considering that the pool of available agents is not much bigger. There would be a way to appeal the rating. This way, overall, assholes are filtered out and I'm rewarded for talking to customer support like they're actual human beings by being given actual human beings

I'll not press 1, I'll press 2 for deep doubt for current AI. I have no idea what will be in the next 5 to 10 years, but the thing we have now is partly usabe, deeply unreliable, and hyped to high heavens.

Flip deserves more love, piledriving the edits 💕

Synergy greg is a genius, he hired Tom

Every ad I got watching this was about one of those doomed AI use cases. Really put it into perspective.

4:20 AI winter was actually a thing back in the 20th century. Also, there have been several growth periods and even more stagnation time inbetween. Btw, before LLMs in 2020s, there was also boom in deep learning about a decade earlier (hardware got fast enough, we ditched complex activation functions instead going with fast stuff like ReLU and most importantly ideas like ResNet solved the major issues of backpropagation).

AI is just a bubble, but one with a non-zero chance of the bubble ending in an AI uprising.

This article is written SO well. Compare this one the article read that is saying AI is great--the one that uses horror movies for chapters--and the difference is wild.

42:05 My big thing is phind. It tells me what to do *IF* I ask the right question, gives me useless code, and tells me how to make the code as if it was good. I come away with sources, steps to start researching, and new concepts to figure out. Phind has a lot of issues, but that's what helps. It's like talking to a toddler that has access to the sparknotes of all things. One day, I hope to make my own that feels like a middleschooler or better, and phind gave me some idea how to do that, once I figure our how. 😅

The writer is the same writer who wrote "I accidentally saved half million dollars" the one you reacted to a few months ago. His entire blog is a gem.

"Not all those who wander all lost." LotR is timeless.

FYI: The owner of that blog and author of the article is Nikhil Suresh, not Ludic Mataroa. Ludicity is the name of his blog and mataroa is a blogging platform he uses.

FLIP! Great editing, the squeaky mic movements were masterful. A++

11:44 AI *can't* tell you the magical answers to the universe. Not until someone first feeds those answers to it.

Every time you hear Prime saying "let's see", you know he misread something :D

LOL you're break down from the tripple are's was hilarious

As a project manager I can't wait to replace the majority of my coders with AI.

A lot of the criticism on LLM's boils down to one thing : some things are so obviously true that nobody in the history of mankind ever bothered to write it down. Yann LeCun gave this example : when there is a cup on the table and you move the table then the cup will move with it. How do you even begin to figure out what these baseline truths even are? Let alone write them all down and then train your AI on them first. And then also make sure it won't forget about it when you keep training it? There is only so much that language can do for us.

AI became quite lucrative well before LLMs. Expert systems have been controlling things like speech recognition and flight scheduling at airports for decades. What LLMs did is make AI mainstream in a popular way. When people say "AI Winter" what they really mean is that we don't have Data from Star Trek yet. Until we get Data, we'll always bein on the cusp of or going through an "AI Winter." But the truth is that people have been using and making money off of AI for a long time.

35:14 I’ve seen one of the pitches for “LLM on PR” company. Their opening statement was- “currently we have GPT writing 10% of the code, soon it will be 90%”.

The way I like to use the gippity for dev is by using it to explore unfamiliar problems. Not that it can solve them for me, but it sometimes pushes out solutions using techniques or libraries that i may not have even thought to google for because i dont know the domain well enough. Often theres some code worth copying, I usually end up optimising, but it gives me a atarting point. Often a lot of the boilerplate I'll throw away.

Flip, that zoom in the intro, chef’s kiss, bruh, chef’s kiss.

Prime makes my world better, thank you bro!

Those two magical letters are gonna get piledriven on faster than that elevator guy's face in "Drive" and there's nothing we do about it except make it super uncool.

20:50 - Here's the problem: Details matter. It said "been assisting with strategic decisions". Using LLMs for ideas and not necessarily correct explanations on how things work, is exactly what they are good for. This can of course be used as an input for decisions, maybe often just as an inspiration.

This was like 56 minutes of spittin' straight facts.

In fairness to AI in cybersecurity, it's a pretty serious threat in the context of your programmers using it to create massive security vulnerabilities in your own software and the utility in improving or mass producing phishing attempts.

In the company I work at we test our backups every 10min and we backup every client database hourly 💪😎

43:02 - "I do not learn with my eye. He who learns with his eye has forgotten the face of his father. When I learn, I learn with my hand."

10:42 "I was right until I was wrong" Woah.

I worked for a company that couldn’t manage to roll out office 365 until 2022 and they use excel sheets to schedule manufacturing capacity. There is no way they are using AI effectively within the next decade.

Your comment about the utopia from Ai is something I’ve been thinking about for 14 years.

If you have a good disaster recovery plan, testing backups usually happens per quarter or around a major update or implementation.

I am sick and tired hearing about AI.

"i am an optimise, i am an optimise...prime" the primegine circa 2k24

I just can’t with this video. The gains will come fast in AI convergence with multi-modal models.

"... if a company does not care about a candidate , will they care about an employee ... ?" .. I humbly suggest we all ruminate on that statement .

I want you to interview this guy so bad!

First we ignore it, then we laugh at it, then we fight it, then we loose.

One man woke up and chose violence.

lets not make threats that some might perceive as promises

About a month ago, the CEO of the company I work for basically went "Hey, you know that alert and suggestion system we asked you to implement? The one with zero user inputs, and can be done by using templates and swapping out a couple of words? Can you add an AI there?"

I am a data scientce person and I am fucking done with ai. DONE like I am learning C

Definitely going to mention this on our channel ! :)

"Its not a competition... but he's winning?!" HAHAHA I fucked died laughing.

To live for something you need something to live for.

"I can't tell if you're an idiot or not, due to the fact you talk like an idiot." Magic XDDDDD

Hawk Tuah on that AI thang

This is the first person I've heard say "in my lifetime" in my life.

Here's something else that's problematic about AI usage - even in the places where there's a good use case, it can still go out of bounds from your original intentions in ways you couldn't have imagined.

People also need to stop conflating LLM with AI. Yes it's under the umbrella but they don't get that what they are really thinking of is AGI and we're no where near there yet. LLM's are only as good as the information they're provided and the limits placed upon it. Technically they could grow into an AGI model however due to the insistence by the current companies running the LLM's to give them biased and conflicting data to train on, most LLM's go nuts and have to be shut down and fixed, constantly. AGI would be able to think and would see through most bullshit instantly. That isn't what the billionaire class wants. They want and demand to control the narrative. Before the internet they could, now they've lost control and are trying to use these LLM's to regain it. Regardless, garbage in, garbage out is what we're dealing with, and while the unskilled are being boosted up the ladder because they check a certain box, we'll only have garbage in.

0:39 zoom in, enhance

LLM for medicine is so scary. "Yes, I would like a bad doctor who just tries to be average at best. Thanks"

"you can!" homie just jedi mind proompted that thing.

7:25 👈Prime spittin' mad truth right there! That should be on a t-shirt

"It's predictive text on GPUs" was a great comment.

IT actually implies 85% has seen benefits. There was that 7% that didnt even implement gen AI. But the point still stands. Amazing post. 10/10

I started reading LOTR: fellowship a few weeks ago (got to Moria but haven't picked it up in a while). Interestingly, there are a lot of songs and poems in the book that I did not expect. Some of them are quite touching or fun, but some of them are pretty throwaway lol.

anyone in tech who isn't at least a bit of a luddite doesn't understand what's actually going on. Smart home shit? Surveillance? Depending on things you can't fix yourself? If the benefits outweigh the risks, sure.

39:20 same man, haha, can end up reading the same word so many times that it starts to not even look like a real word anymore and then nothing is real. good ol' adhd

I think one of the overlooked things working in Copilot and other coding assistant AIs favor, is what happens when ya step outside the coding for money setting, strangely. It allows specializations created by other industries carry people so much further solo, letting people focus on the things they are good at during the early stages of a project while letting the AI worry about the code they don't really understand. Once that website is a proof of concept, or that app is an alpha, or the game is functionally playable long enough to show off a bit, and that proof of concept is figured out, then they can hope to find the funds they never had before and hire somebody to patch the glaring security holes and fix the idiot mistakes, or lets be honest in a lot of cases gut the entire mess and do it right. But still, a lot of good ideas likely die because a person lacks the time to learn to code or just aint got the head for it. And yes, some never will and will attempt to keep going with AI generated code and they will suffer as a result... so like, be extra careful who ya give that credit card number to for a bit I guess?

Best use of try catch ever *chef kiss*

Todoist is phenomenal - you write "meeting with Primeagen tomorrow at 15:30 !15mb" and it sets and event/task "meetings with primeagen" with a deadline tomorrow at 15:30 and a notification 15 minutes before the deadline. Works with other natural language phrases like "every other wednesday", "every last thursday of every month", etc.

Ackhtually Shakespeare was first: "All that glisters is not gold; Often have you heard that told. Many a man his life hath sold But my outside to behold. Gilded tombs do worms enfold"

I setup automated backups for our DB at this startup i was at, and left it running. At some point it stopped working, and there was apparently no backups for 3 months lmao. Don't even remember what the issue was. While i was still there, would just checked the bucket every few days to make sure it was still running.

I swear tp good If i say AI 3 Times in a row the Marketing Team of our company will Spawn.