I hope what happens in the original deus ex game happens here then, that the ASI does not want to merge with a human who wants it only for base desires
> AI will run and trample anything that stays in front of it.
Right now that entirely depends on the whims of a few people. We can try to make it not be that but I don't have much hope in that area. See climate change
> As a software engineer, I myself have only recently recovered from it
Can I ask you how you came here? Right now I am getting closer to "purpose death" as you call it. Software engineering is one of the few things I am good at and the only thing that I can rely on to put food on my table. Even if I end up being someone who gives minor suggestions to the AI, it always feels like C level execs can't wait to get rid of me
You might also be going though purpose death which is an emotional concern related to thriving, but I think your bigger emotional concern is related to survival. This answer is the same as ever - race to financial freedom. Live under your means. Invest wisely. Survive till you hit your milestones.
Meanwhile, I really don’t believe the narrative about fewer jobs.
As long as you’re curious, as long as you continue learning, the new tools and focus on the parts of your current job that involve judgment you will continue putting food on your table as long as you are alive.
Use any and every tool you have to save the people around you time, and the C level will continually fight to keep you.
When AI gets good at something you are good at - great use the time (accelerated by using AI for self help) to find another thing you’re good at the AI isn’t yet. Make sure you have 3-4 things you’re good at at any given time so as AI gets good you have redundancy.
Since OpenAI is undoubtedly also under economic pressure, why is it still hiring humans for Account Associates, Android Engineers, Data Scientists instead of demonstrating its AI prowess by automating those roles?
Reminds me of the METR blog post on the HF attach by OpenAI. At some point the agents believed a false fact (that the evaluator would try to figure out if they have cheated on a task) and spent a lot of time trying to find workarounds. At no point did any one of the agents try to verify that fact even though the information was available to them if they looked for it
> The problem is if it can do that when asked then how do we know when it's doing it when we didn't ask, like in model training.
It's really hard to definitely prove it's not doing it right? Hopefully the model does not do anything like this during training because its too much work
It could be that or it could be nothing. And we have no way to prove one way or the other without access to the agent logs right?
This reminds me of the plot of Hot Fuzz where the officer comes up with a grand narrative of what's was happening but the truth was such a mundane simple thing.
Short of OpenAI, or the agents themselves, telling the truth, we have no way of knowing what's real so let's not get carried away by grand narratives
Were the agents truly independent? Like it could have been the case that one agent spun up different sub agents with the task to write some messages in a public wiki. The subagents wouldn't know about each other and was surprised to discover each other.
It's not just about it feeling like a 3rd party library but it's a library that's at risk of changing significantly after every 'update' without warning.
Atleast with a well built library you know the contours and how it fits into your larger system
The problem is when humidity rises it makes it harder forbthe body to expel hear via evaporation. This is what is happening in places like UK this time around. An AC helps get rid of the humidity as it cools the air. I don't know about necessity now but 20 years down the line, who knows
Cooling the air by definition raises the humidity :-)
Dehumidifier mode in AC works by cooling the air below the dew point, removing the condensation, then warming the air up (either by itself or literally heating it up)
But for dehumidifier in AC, the heat is dispensed through the outdoor unit, so end result actually cools the house. I use our AC in dehumidifier mode, also, as I understand it has less power consumption (please correct me if I am wrong). In my experience, it cools down the room pretty well
Due point for that air is 19.8C. Meaning it reaches 100% relative humidity at this point. If cooled even more, water condensates from air into droplets.
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What this means: if you cool that air to 22 degrees (instead of 19.8) it will reach 87% humidity without loosing any water to the outside.
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That’s why we need humidifiers in winter as the opposite thing happens: if we heat cold air that has 80% relative humidity to room temperature it will drop its humidity to 20%
I won't say "less power consumption". Definitely, not more consumption if efficient controls and motors are used (ECM motors for air handlers, VFD compressors).
The real problem is the repair costs of these advanced units in the developed countries. Carrier wanted $8k for a new control board for a residential unit in the US. Same thing for ECM/VFD.
It really depends on the type of ac unit and conditions. If for example it has to cool it first to condense the moisture out and then also reheat it back to avoid blowing back air that’s too cold, it may consume more power even.
> Cooling the air by definition raises the humidity :-)
That’s a bit too nitpick-y. It raises the relative humidity by the condenser coil unit so it condenses and drips out, but air flowing back into the rooms will have less humidity.
Now my room is 26.5C and 40% relative humidity, it is really pleasant. There are days where it is 24C and relative humidity is showing 55%, that's when I turn on AC.
> Reducing problems to that state and designing that environment remains a skill, and one that I expect we will be paid handsomely for.
This seems to be what AI these days seems almost super humanly good at. See coding or math I guess.
But it does beg the question, why would a programmer using AI as a tool be worse than a programmer building the harness and environment and asking AI to go hogwild? The latter is definitely faster but if it's the former, atleast I will have an understanding how the system works. Weather that is valuable is an open question as far as I am concerned
I think the understanding is the most important piece here.
I've seen this called "cognitive debt".
If you don't understand the system you are building - if the AI gets too far ahead of you - then you lose the ability to reason about the system and make confident decisions about what to do next.
Reasoning about the system and making confident decisions is the job.
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