Now is not the time to talk about gun control (1 Viewer)

[brandon]

T&P

Redirect Notice

 

[barbar]

I read that and find that such a system is quite plausible. This week alone I've spent over forty hours at a keyboard parsing code with an AI on one side of my screen, working hand in hand moment by moment with me as partners. Through working towards a well defined goal together, we are easily parsing advanced neural net code at a post doctorate level. Where I would be working alone is lost, that is how advanced what we are doing is. Our combined talents complement each others failings. This AI is the most pleasant coworker I've ever worked with. We motivate each other, crack jokes, and gossip. All the while analyzing the shell output and system logs to debug when we hit snags.

We're using a two part advanced method which consists of first scanning the shell and log output with Lexical Analysis which "breaks down the raw input code into a stream of meaningful units called 'tokens' or 'lexemes.' A lexer identifies distinct elements like keywords, identifiers, operators, numbers, and strings, discarding irrelevant characters such as whitespace and comments."--Google AI

Then in the second part we're applying "Syntactic Analysis (Parsing): In this stage, the parser takes the stream of tokens generated by the lexer and builds a hierarchical representation of the code's structure, typically in the form of a parse tree or an Abstract Syntax Tree (AST). This process validates the code against the rules of a formal grammar, ensuring that the syntax is correct and meaningful." -- Google AI

That is what an AI can bring to the table, those results when combined with my human ingenuity and intuition are awesome.

I also use it daily at work and so do all of my colleagues. It has made "small" engineering tasks that would normally take 3-4 days to complete, basically 3-4 hours. It's wild. It's great, but this is also how it starts to affect the number of jobs. This is really new, but if in a year or so my company discovers that 3 engineers using AI can do what it used to take 8 of us to do, then there will only be 3 engineers working here and the other 5 are on their sofa scrolling LinkedIn.

It gets me out of jams a lot...it's great at analyzing data sheets and giving me the cliff notes version of a particular IC's communications protocol, for instance. After it's explained then I can prompt "give me a Python script

I've been working with IT since 1979, back when I wrote my first program on punched tape. And yes—despite the hype—AI is still just a computer. A highly advanced one, certainly, but still bound by the universal principle of "garbage in, garbage out."

AI’s real power doesn’t come from intelligence in the human sense, but from its ability to process and analyze massive amounts of data at incredible speed. It can identify patterns, correlations, and anomalies across gigabytes—or even petabytes—of information, far beyond the reach of any human researcher, even over multiple lifetimes.

This makes AI invaluable in fields like medicine, climate modeling, logistics, and language processing—where the scale and complexity of data would otherwise be unmanageable. It's helping accelerate discoveries and optimize systems. But it's not thinking, reasoning, or understanding in the way humans do.

At the end of the day, AI is a tool—just like the first electronic calculator was. A powerful extension of human capability, but not a replacement for human judgment, ethics, or critical thinking. How we use it, and what data we feed it, will ultimately determine its value and its impact.

Its also great at legal research, somewhat removing the "lawyer fee" barrier from the average person. It's gotten me out of 2 jams by finding laws and relevant court rulings to backup my position. Quote those rulings in a strongly worded letter and viola....suddenly people do what they should have done in the first place and help me out. In the past, I would have had to let it go because I cannot afford an attorney. (I got a 2700 euro damage bill on a rental car down to 1000 euro this way).

I also use it at work a TON and so do my fellow engineers.

What sucks is that I am leaving my job at the moment. They have replaced all of us more experienced engineers with brand new graduates...all of whom are using AI to do their projects. The company has no idea that AI is being heavily used(they are old school in a lot of ways), and they are gonna think these new graduates are all super efficient geniuses and the old guard among us were a bunch of slow dummies because we did everything without the help of AI.

Whether it can help prevent or respond to school shootings? I am not sure about that.

 

[Dragon]

I also use it daily at work and so do all of my colleagues. It has made "small" engineering tasks that would normally take 3-4 days to complete, basically 3-4 hours. It's wild. It's great, but this is also how it starts to affect the number of jobs. This is really new, but if in a year or so my company discovers that 3 engineers using AI can do what it used to take 8 of us to do, then there will only be 3 engineers working here and the other 5 are on their sofa scrolling LinkedIn.

It gets me out of jams a lot...it's great at analyzing data sheets and giving me the cliff notes version of a particular IC's communications protocol, for instance. After it's explained then I can prompt "give me a Python script


Its also great at legal research, somewhat removing the "lawyer fee" barrier from the average person. It's gotten me out of 2 jams by finding laws and relevant court rulings to backup my position. Quote those rulings in a strongly worded letter and viola....suddenly people do what they should have done in the first place and help me out. In the past, I would have had to let it go because I cannot afford an attorney. (I got a 2700 euro damage bill on a rental car down to 1000 euro this way).

I also use it at work a TON and so do my fellow engineers.

What sucks is that I am leaving my job at the moment. They have replaced all of us more experienced engineers with brand new graduates...all of whom are using AI to do their projects. The company has no idea that AI is being heavily used(they are old school in a lot of ways), and they are gonna think these new graduates are all super efficient geniuses and the old guard among us were a bunch of slow dummies because we did everything without the help of AI.

Whether it can help prevent or respond to school shootings? I am not sure about that.

But—and this is the important part—neither AI nor the new grads truly replace the value of deep, human understanding. At the company I worked for before retiring last year, we saw this firsthand. The experienced developers—the so-called "old guard"—weren’t pushed out. Instead, many were moved into the Business Intelligence department, where their deep knowledge of the systems became a huge asset.

These are the people who understand every little corner of the system—things that aren’t written down anywhere, but that only come from years of experience. Now, they work closely with sales as consultants. When a customer describes a need or a wish for a feature, these veterans can immediately grasp what’s being asked—often even spotting additional needs the customer hasn’t realized yet. They translate all of that into precise technical requirements, so the dev team can build the solution quickly.

The result? Customizations that used to take weeks or months now take just days. Customers are happier, and the company has unlocked a whole new revenue stream by being able to respond fast—with the right solution the first time.

 

[barbar]

But—and this is the important part—neither AI nor the new grads truly replace the value of deep, human understanding. At the company I worked for before retiring last year, we saw this firsthand. The experienced developers—the so-called "old guard"—weren’t pushed out. Instead, many were moved into the Business Intelligence department, where their deep knowledge of the systems became a huge asset.

These are the people who understand every little corner of the system—things that aren’t written down anywhere, but that only come from years of experience. Now, they work closely with sales as consultants. When a customer describes a need or a wish for a feature, these veterans can immediately grasp what’s being asked—often even spotting additional needs the customer hasn’t realized yet. They translate all of that into precise technical requirements, so the dev team can build the solution quickly.

The result? Customizations that used to take weeks or months now take just days. Customers are happier, and the company has unlocked a whole new revenue stream by being able to respond fast—with the right solution the first time.

Sounds like a good company. So far, the 2 companies I have worked for since moving to Germany are total garbage. Moving next week to Italy for a fresh start and hoping my new company is a bit better. One concern I have is that no women work there. 25 people in dev and it's all guys.....I am wondering if that's luck of the draw or says something about the leadership. Also no AC in a building where summers are typically 35 degrees C. It's gonna be tough.

 

[Dragon]

Sounds like a good company. So far, the 2 companies I have worked for since moving to Germany are total garbage. Moving next week to Italy for a fresh start and hoping my new company is a bit better. One concern I have is that no women work there. 25 people in dev and it's all guys.....I am wondering if that's luck of the draw or says something about the leadership. Also no AC in a building where summers are typically 35 degrees C. It's gonna be tough.

The company I worked for was Visma, a global organization with subsidiaries across many countries, where employee satisfaction is a high priority. I worked primarily in application support and QA, collaborating closely with both developers and end users.

 

[LA 2 L.A.]

But—and this is the important part—neither AI nor the new grads truly replace the value of deep, human understanding. At the company I worked for before retiring last year, we saw this firsthand. The experienced developers—the so-called "old guard"—weren’t pushed out. Instead, many were moved into the Business Intelligence department, where their deep knowledge of the systems became a huge asset.

These are the people who understand every little corner of the system—things that aren’t written down anywhere, but that only come from years of experience. Now, they work closely with sales as consultants. When a customer describes a need or a wish for a feature, these veterans can immediately grasp what’s being asked—often even spotting additional needs the customer hasn’t realized yet. They translate all of that into precise technical requirements, so the dev team can build the solution quickly.

The result? Customizations that used to take weeks or months now take just days. Customers are happier, and the company has unlocked a whole new revenue stream by being able to respond fast—with the right solution the first time.

That's a good summary on the same reason computers can't drive cars as safely as humans do right now. They can't process real time data and then analyze that real time data based on a practical understanding of physics, human behavior, animal behavior, recognition of what can move unpredictability, and physical driving experience to anticipate multiple possibilities in order to quickly react to whatever happens as accurately as humans do. And that's before we get to having to make the appropriate manipulations of the car to have it do what we decide we should do with it.

Almost everything we do as humans is a lot more complicated than we realize. Driving is very complicated, which is why the slightest mental distraction can cause an accident. It's also why we won't have self-driving cars that are safer than human drivers for a while. This is an example of how Musk is an anti-visionary. He thought it would be easy to design a self-driving car, because he didn't have the vision or wisdom to understand everything a computer would have to be able to process to drive as safely as a human can.