Totally agree, but then a lot of the same people will be talking about all of the custom instructions/rules/skills/features etc they have set up, so that's eating up a lot of the context window before you even start
When I do use AI, it's just the pure tool itself, and the context is the exact code I'm working with (because I'm trying to see if it can help me solve a specific problem), and I understand the rest of the codebase well enough to know if it's giving me good answers or bad ones
I'm not Googling much of anything anymore. 9/10 times the information is awful, it's hard to parse out of whatever other spam it's surrounded by. Meanwhile, Claude will just do the thing one-shot or with a tiny bit of refinement.
The gateway to knowledge and getting stuff done is the LLM.
Google Search is a dinosaur.
It feels like we're living a century into the future. Not even smartphones were this cool.
For what it's worth, even this reply reads like LLM output. It's not "quote describing the scenario", it's "some other linked-in-coded plot twist". If you're the average of the people you spend the most time around, and you spend the most time around a chatbot, do you start to absorb its speech patterns and logic structures?
As one famous agent said: “I say your civilization because as soon as we started thinking for you it really became our civilization which is of course what this is all about.”
An argument can be as old as the search engine and hold real value. There are ways in which unreflective search engine use has misled and mistrained people.
There’s always been argument to be had about how we manage and offload attention, what we gain and what we lose when resistance is reduced. It’s part of reflection that’s been necessary in order to make progress solid ground, and is more necessary with non-deterministic tech.
The phrase “Tactical tornados” may be older than web search and describes people who also got a lot done.
Models can be incredibly helpful boosters and situationally effective subordinates… and also patchy as a real engineering IC or org.
The argument was correct then (Google/social did make us more stupid) and correct now regarding AI. So not sure why pointing out it was said before is relevant. Except as an example of its prescience.
>"Claude, be my subordinate and get this done for me"
Since "this" is thinking, then the two formulations are equivalent.
>Instead of complaining on the sidelines, I'm getting a shit ton of work done.
Until you no longer have a job and are drowned in slop.
I work with a guy who does decking (gardens, caravans, etc) and builds sheds, fences, things like that and he does very well indeed (he's also incredibly good at it to be fair)
Wood construction is not typically considered woodworking, although there is often a lot of overlap. But the skills needed to make furniture are pretty different from the skills needed to make decks, fences, etc.
Carpentry is not the same thing as woodworking, to be fair. The latter has the connotation of making furniture, trim, and other such items that people want to look nice. Carpentry does not necessarily have that connotation. It's a kind of "all squares are rectangles, but not all rectangles are squares" situation.
This is an active conversation going on at my day job right now (and I suspect many other peoples too)
Every developer (we have about 100) has Github Copilot, and interestingly some barely use it while others use it a lot (about 70% of usage comes from a handful of devs), and the dashboard shows you exactly who is using which models, and how much
I definitely don't think they will just go along with paying 10/20x more than before without seeing some sort of return on that investment
We've already had the we're spending all this money on AI, why aren't we shipping software faster conversation multiple times
My prediction is that those high users, costing the most money, will be watched carefully (one colleague even suggested half-jokingly that whoever tops the leaderboard should have to give everyone else a presentation on what they spent all those AI credits on)
The sweet spot is to have good competent developers who users AI when it actually makes sense, but aren't dependent on it
As of now, most people haven't figured out how to use AI productively. It takes time. Maybe 1 in 20 developers have come up with a good workflow to get AI-assisted coding done without a lot of slop. The remaining 19 either got burned a few times, or still use AI in a 2023-style: ask AI for a code snippet in a chatbox, then copy-paste it to the code base.
But one or two years from now, many more people will have learned how to be productive with AI. Knowledge will percolate.
And for all those people, the companies will ask themselves: is this guy's 20% increase in productivity worth $200 per month? If that increase in productivity is actually worth $2000 per month, then the answer will be an unequivocal yes. Not only that, but the need to switch to lower cost AI providers, so the $200 is lowered to $20 will just not be worth the extra headache of having to go through all the approvals to onboard a new vendor.
I was trying to figure out a nightmare bug that only happened in production and Claude code was able to connect to Google Cloud and read the logs in real time
I recreated the bug in the UI and it was instantly able to see ion the logs what the problem was, then because it had the context of my whole codebase it was able to point me to the exact line of code causing the problem
For most people in the Apple ecosystem, the iPhone is central and the Neo is another useful (but secondary) companion device. Not unlike the Watch and Airpods.
Leaving money on the table, as opposed to losing it. They make a decent buck on the hardware, but could have charged more (though likely would have sold fewer units).
Heh, well I was kind of thinking, this sounds like something someone in sales or content management or marketing might think is pithy and thoughtful. And we are (or just were) in the "Information Age", so that's what has value. But also, there are lots of other ways to um... make money. Unless you try to twist your brain around "well selling kids' toys to parents is selling lies to someone who wants lied to" or something perverse like that. shrug Maybe the big article does a great job of exploring these ideas, but I don't think they stand up to much scrutiny.
When I do use AI, it's just the pure tool itself, and the context is the exact code I'm working with (because I'm trying to see if it can help me solve a specific problem), and I understand the rest of the codebase well enough to know if it's giving me good answers or bad ones
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