codingwagie

I think the difference between deepseek and OpenAI/Anthropic is one of the difference between practitioners and academics. Ofcourse there is world class talent at OpenAI. But there are also alot of "I went to Harvard and want to work in AI", and those types of people just simply dont have the technical exposure to even think of building something like this.

Usually when theres major problems, who ever is in charge allowed those problems to occur. Probably they got promoted, while causing those problems. So youre directly challenging their status and job.

This is pure cope

Yeah there's a few winners they are hoping for. So they pattern match, Jeff Bezos went to Princeton and worked at hedge funds, so lets fund everyone that looks like that.

Turns out a bunch of those people are actually lemons, so they run a bunch of unprofitable startups.

There's two things going on:

1. Long term risky bets that could pay off massive

2. Who is the person they choose to try and execute on the above

Alot of startups arent profitable because they are ran by people that have prestigious pedigrees, but dont know what theyre doing/have no experience. So they blow all kinds of money on bad ideas/poor execution, but are still able to raise more funding.

Eventually for some of these companies something clicks, and they do get to something of a valuable company.

This is what ZIRP was.

Alot of people dont know that investors are okay with this, they have 20 Million to push into a company, and figure that something might pop out.

You need to segment looks by genetic pools to get an accurate read on this. So, select the most attractive of Swedish, they will be above the rest of the swedes. Select most attractive of Jewish, run the same exercise.

Again, there are more variables you need to normalize by, but this idea that facial symmetry is not an indicator of many other vectors of human performance and health is a psyop by modern society

There have been alot of companies getting funded to create SAAS for the government.

they dont care because all they need to do is look at your facial symetry to gauge how well your mind is working. its a psyop by society that people dont know this is biologically how brains interpret attractiveness

Staff/senior is a different skill set, and you should just shoot for it instead of thinking banging out code will get you there

Imagine not considering that physical attractiveness is really just health, and that raw IQ doesnt capture the full spectrum of quality of human thought.

Phds are a scheme for immigration

People dont know it, but tesla model Y was best selling car in 2023. This company is so far ahead, despite the hate

its completely over for this field. anyone that doesnt think so has their head in the sand, we are 18 months out from the value proposition of a 50-85th percentile software engineer dropping to the floor

Personal opinion is that JetBrains products have gone down hill the last few years. Tons of memory leaks and performance issues. They are also way behind on the AI front, borderline obsolete in some areas. This is coming from someone who has used jetbrains daily for over a decade

Actually think this is an outdated opinion. It was true initially that writing your own was the correct approach, but that was because the proper abstractions had not been figured out. At this point, langgraph is the successor to langchain, and is much better.

It's natural that software in this space will evolve quickly, but that's not a proper argument for writing everything on your own.

Really? I have been using 4o, and its flawless at OCR

You also have to take into account how often equity that becomes valuable gets stolen through some sort of financial engineering. When real money is on the line, investors do not hesitate to change the rules of the game. Its a two part process:

1. Vest valuable equity

2. Hope the powers that be let you cash out said equity

We can hope that there will be a paradigm shift

Right but traditionally the difficulty in organizing people is solved with money. Just keep hiring until the product gets done. Thats what we saw here, OpenAI wanted 500 Billion! Reality is the money wasn't necessary, what they really needed was innovation. AI will obsolete people that solve problems with brute force money, which is the modus operandi in VC backed startups.

My personal opinion on society, is that many many businesses have massive inefficiencies and could be wiped off the map if people understood those weaknesses. But there is a culture of "that CEO is so smart, no chance you could compete". Reality is, they are just hiring random people with fancy degrees. I bet most OpenAI "ai engineers" have no clue how low level GPU CUDA programming even works. They are just tweaking pytorch configs, blowing billions on training.

In the past, tech got away with the above because capital meant if you hired enough people, you ended up with something valuable. But AI levels the playing field, reducing the value of capital and increasing the value of the individual contributor.

No the reality of AI models fundamentally changed

Engineers are paid for their scarcity, and AI is going to make them much less scarce for line of business software

Youre missing something, it changes the type of labor required to produce working software, which results in a shift in wages.

As an enterprising software engineer, its never been easier to strike out on your own. I do agree with you on that

This is completely different than past technology, and is a novel human advancement on the level of the internet

Its about the type of person now required to write software. You dont need some ultra math brain autist to write code if the LLM can do it with some human assistance from someone of much less ability. Coding may see more demand, but the skill set itself sees a reduction in the base quality bar required by the engineers, dropping wages and changing the profession. Ofcourse there are exceptions, but not for most businesses

I'm not talking about ideas guys. I'm talking about if you spent 3 years on React, now I can just go use an LLM and start writing react as if I have 3 years experience. Same with AWS CDK deploying to Java lambda. I can just start using the LLM, and mostly get up to speed. All your hard won knowledge is just not that valuable

honestly, highly highly doubt this. there is nothing revolutionary in most engineering, and its even easier when the product is already robust and just needs to be maintained

Its not about generating a full app with AI. Its about the commoditization of coding as a skill set.

I really do think its basically over for most software engineers. There's obviously still challenges in writing code, but you can already get 80% of the way there, and with a senior engineer guiding a junior using genai, most peoples hard won skills are completely commoditized. It will take time for the tooling to catch up and be implemented, but I am operating as if I wont have stable employment in 3 years.

Also people are not looking at the math of it. If 40% of software engineering gets automated, thats a massive reduction in demand, and with the glut of engineers on the market, will crater salaries. It doesnt all need to be automated for it to basically crush SWE as a good career

AI changes the type of labor required to produce working software, which will result in a downward shift in wages

What is it with society producing content that predicts the downfall of some new trend