It's a tool. You learn to master it or not. I have greybeard coworkers that dissed the technology as a fad 3 years ago. Now they are scrambling to catch up. They have to do this while sustaining a family with pets and kids and mortgages and full time senior jobs.
You're in a position to invest substantial amounts of time compared to your seniors. Leverage that opportunity to your advantage.
We all have access to these tools for the most part, so the distinguishing factor is how much time you invest and how much more ambitious you become once you begin to master the tool.
This time its no different. Many Mechanical and Sales students in the past never got jobs in those fields either. Decades before AI. There were other circumstances and forces at play and a degree is not a guaranteed career in anything.
Keep going because what we DO know is that trying wont guarantee results, we DO know that giving up definitely won't. Roll the dice in your favor.
> I have greybeard coworkers that dissed the technology as a fad 3 years ago. Now they are scrambling to catch up. They have to do this while sustaining a family with pets and kids and mortgages and full time senior jobs.
I want to criticize Art’s comment on the grounds of ageism or something along the lines of “any amount life outside of programming is wasted”, but regardless of Art’s intention there is important wisdom here. Use your free time wisely when you don’t have much responsibilities. It is a superpower.
As for whether to spend it on AI, eh, that’s up to you to decide.
It's totally valid criticism. What I meant is that if an individual's major concern is employment, then it would be prudent to invest the amount of time necessary to ensure a favorable outcome. And given whatever stage in life they are at, use the circumstance you have in your favor.
This is also the case for unverified and verified humans, and one thing I can say with absolute confidence is that the majority of internet content has always, and will always be unverified opinion and ideology. As is the majority of human minds. The most valuable thing to come out of AI is the forced introspection about ourselves. It's "us" times N. For better or worse.
In the end the power consumption means the current models that are "good enough" will fit a much smaller compute budget such as edge devices. However, enthusiasts are still going to want the best hardware they can afford because inevitably, everyone will want to maximize the size and intelligence of a model they can run. So we're just going to scale. This might bring a GPT-4 level to edge devices, but we are still going to want to run what might resemble a GPT-5/6 model on the best hardware possible at the time. So don't throw away your GPU's yet. This will bring capabilities to mass market, but your high end GPU will still scale the solution n-fold and youll be able to run models with disregard to the energy savings promoted in the headline.
In other sensationalized words: "AI engineers can claim new algorithm allows them to fit GPT-5 in an RTX5090 running at 600 watts."
None of those questions are relevant are they? I get the impression you've already decided this isnt good enough, which is basically agreeing with everyone else. No one is talking about what it's capable of today. Read the thread again. We're imagining the great probability a few permutations later this thing will basically be The Matrix.
I am getting the "Your request was flagged as potentially violating our usage policy. Please try again with a different prompt." for a custom Golang RAG workflow that has nothing to do with OpenAI. I can send the same exact prompt to GPT-4 and it will happily respond. But if I send it to GPT-o1-mini, I always get the violation warning.
I love everything about this. I have been using HTMX heavily for a side project and glad to see it used in this project. Is fast.ai hiring? I would love to make contributions to their mission.
Isn't GPT-4, rather than GPT-4o the general best one? I am not talking about benchmarks, but the personal experience instead. GPT-4 always seem more understanding, says no where it should more often, corrects and identifies errors more often. 4o seems to go with the flow without much notice/inspection and keeps blabbering the way it does instead of following the conversation style.
If LLMs suddenly appeared right now and you didn’t have the benefit of hindsight into their internal workings you wouldn’t describe them that way today either, even if it is factual.
Sure, though vuild any blackbox and people wouldn't be able to describe how it works simply by the inputs and outputs. It will tend to look magical, especially if it appears suddenly. That doesn't mean it is magical though (or intelligent, in this case).
You're in a position to invest substantial amounts of time compared to your seniors. Leverage that opportunity to your advantage.
We all have access to these tools for the most part, so the distinguishing factor is how much time you invest and how much more ambitious you become once you begin to master the tool.
This time its no different. Many Mechanical and Sales students in the past never got jobs in those fields either. Decades before AI. There were other circumstances and forces at play and a degree is not a guaranteed career in anything.
Keep going because what we DO know is that trying wont guarantee results, we DO know that giving up definitely won't. Roll the dice in your favor.
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