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> If you’re against anthropomorphism of LLMs then how can it “encourage” you if you’re not having a conversation?

Humans are more than biased word predictors.


That has nothing to do with the guy who said stop anthropomorphizing llms and then proceeded to anthropomorphize an llm.

You're right it's about paying customers. No one is going to waste time campaigning against a $1.99 squid game knockoff on Steam if it uses AI (many are just Unity assets flips already).

The backlash I've seen is against large studies leaving AI slop in 60+ dollar games. Sure, it might just be some background textures or items at the moment, but the reasoning is that if studies know they can get away with it, quality decline is inevitable. I tend to agree. AI tooling is useful but it can't be at the expense of the product quality.


If you're worried about AI, content creation seems like the worst possible choice. If you want to future proof your career, I suggest finding a specialty that needs some hands on work, e.g. embedded development. AI is not going to pick up boards, attach probes and debug oscilloscope traces.. a least for a little while yet.

Being Indian is probably not the point he wants to make - it's that he has lots of competition, particularity as a developer.

There's a Microsoft datacenter being built on the proposed Foxconn site and it will use 8.4 million gallons of water per year, so I guess industry got its way eventually?

> 8.4 million gallons of water per year

That is <10% of the amount of water required to grow corn on the same land as the data center. Acre for acre, data centers consume a tiny fraction of the water consumed by agriculture.

Are the corn subsidies to produce high-fructose corn syrup and ethanol that important?


What, it will use as much as a small village or subdivision? As much as 80 average US households? That doesn't seem noteworthy at all.

> 8.4 million gallons of water per year

8.4M US gal/year * 3.785 US gal/litre / (365 24 60 * 60) = 1 litre per second.

Put another way, if the average US household uses 138 US gal/day [0] then this is 8.4M / 365 / 138 = 168 average households.

[0] https://en.wikipedia.org/wiki/Residential_water_use_in_the_U...


Whenever I hear water measured in gallons instead of acre feet, I know someone is trying to exaggerate the amount.

East of the Rockies this is an unnoticeable amount of water.


East of the rockies suffers from the problem of water being so unlimited nobody paid it any attention and let the desert states let federal policy reflect their problems and priorities to their detriment.

I think this is because when the water table is as saturated as it is in much of the east, there's no sense in trying to conserve. The water pumped out of the river just ends up on the ground, goes in the watershed, and back down the river. Caveat: Note that I'm talking about surface water. Fossil water sources like the Ogallala Aquifer being overused are another story entirely.

>when the water table is as saturated as it is in much of the east, there's no sense in trying to conserve. The water pumped out of the river just ends up on the ground, goes in the watershed, and back down the river.

The laws of nature may agree with you but the laws of man do not and lawfulness comes at great expense.


For folks like me who are trying to visualize 8.4 million gallons of water:

Quick back-of-the-napkin suggest that it's about as much as would fit in a round pool just under 500ft (~150 meters) across, 6ft (1.8 meters) deep.


OP has no idea what he's talking about. Passengers masks are for depressurisation events and oxygen supplies last 15 minutes - enough time for the pilots to descend. Pilots have a separate longer lasting oxygen supply. In many (most older?) planes, a single passenger activating their mask will activate the chemical based oxygen supply that feeds all passenger masks.

I live near one (no-USA) and honestly it doesn't bother me. It's a small price to pay to avoid ever-decreasing foreign-sourced oil/gas and insanely over-budget/over-schedule nuclear.

In my experience it's weak and inexperienced developers who gravitate to AI tools. Unfortunately they lack the domain knowledge to correctly evaluate the outcome of the AI tools they use. AI weaponizes them against their colleagues by enabling them to open more PRs and generate more text which may look reasonable at first but falls apart under serious review. Any gains I may get from AI myself is eaten away in this way.

Personally I prefer "Artificially Intelligent engineers" or "Engineers who outsource intelligence".

Temporarily embarrassed digital feudal lords.


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