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spjt

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Grok 4.5 14 days ago

As an American that stuff is fairly inconsequential to me, although I am already aware of those things so I wouldn't even have a reason to ask. Likewise a Chinese person probably wouldn't have much interest in topics that a US-based model would censor. I guess the answer is just for everyone is that if you are going to talk politics with a chatbot, don't use one from your own country.

Of course he presents a hypothetical person who honestly earned a billion dollars, because he can't name an actual example. All you have to do is double your million dollar business every month for a year and a half! I'm sure this genius would take me up on my offer to work for him for $1 on the first day and doubling it every day for a month, right?

Why teach people bad habits starting out? Probably dating myself specifically but I started out with Pascal, and I'm glad I did.

Is it a bubble? 7 months ago

But it is being continually refueled. The output of an LLM, at least in the process of generating code, is a combined product of human creativity and the LLMl. I have told it what to do, fixed what it got wrong, and verified the solution was correct through testing.

Is it a bubble? 7 months ago

Yeah if they thought unions were bad, they really won't like dealing with another company larger than them.

Leaving Intel 7 months ago

I always made sure to include "Time spent on time tracking" when I had to do it.

Let's Encrypt was _huge_ in making it's absurd to not have TLS

I still find it too much of pain in the ass to deal with to justify for my personal stuff. Easier to just click through the warning every time.

Why not do it in English? I have a "program" that exists entirely as the history of an AI chatbot session. To "run the program" I load the history and a file into the message context and say "Now do this file." It kind of reminds me of a Smalltalk VM in a weird way.

I've always seen estimates as trying to guess the highest number the PO will accept, the time or effort involved in actually completing the task is irrelevant. I have never had a PO or anyone else complain that a task was completed more quickly than expected. However I do have to be careful to not tell them it is complete too early, lest they start expecting shorter cycles.

At least in my company we've stopped calling them "estimates". They are deadlines, which everyone has always treated "estimates" as anyway.

Unfortunately in the real world deadlines are necessary. The customer is not just mad that they didn't get the shiny new thing, especially in the case of B2B stuff, the customer is implementing plans and projects based on the availability of X feature on Y date. Back to the initial point, these deadlines often come down to how quickly the customer is going to be able to implement their end of the solution, if they aren't going to be ready to use the feature for six months there's no reason for us to bust our asses trying to get it out in a week.

Leaving Intel 8 months ago

In my experience, having to track my hours absolutely destroys my performance. Thinking about how I need to pay attention to how long I spend on everything is a constant distraction in the back of my head while I try to do anything useful, and then I spend the rest of the day procrastinating having to fill out the paperwork. I know I'm not the only one because the entire dev staff was ready to mutiny the last time I was at a company that tried to get devs to start tracking their hours.

It sucks if you're looking for entry level work, of course. However, I'm a TL/manager with mostly entry-level reports and I have told them for a while the other side of this mentioned here - by the time they get to senior level they are going to be able to name their price in the shortage.

In my experience the style bikeshedding comes about when PRs are not properly scoped. At least I have learned to just say TLDR.

I'm staff and that is probably the main thing I use AI for. It's maybe a bit ironic that AI is a lot better at sounding like an empathetic human being than I am, but I'm still better at writing code.

The difference with fusion is that we have a very good understanding of how fusion works, and exactly what we need to figure out how to do, to make it a viable energy source. It's basically just an engineering problem, albeit a very difficult one due to the extreme conditions. AGI is more like developing warp drive. With AGI, we really have no idea how the brain works or any clue of what problems need to be solved. It's basically just like the underpants gnomes.

Phase 1: Buying more GPU to increase the number of parameters in a LLM Phase 2: ??? Phase 3: AGI

AGI may come anywhere between next week, 1000 years in the future, or never. Anyone who claims to have any idea is full of shit, because we don't even know what problems we need to solve to get there. If we develop a good model of how human cognition works at a biological level, there is at least a direction, but that isn't going to be coming out of some AI hype factory with a datacenter full of H100's making videos of anthropomorphic cats working as pastry chefs.