They can entirely take off and land at this point, it’s a lot more capable than you think.
You didn’t discuss the actual situation though, LLM models are capable of summarizing email chains just as well or better than a human at this point.
And yet it produces better summary output than many humans I’ve had the (dis)pleasure of reading the work of.
You’re assuming because it doesn’t function the same way as a human that the output can’t be equal or better. That’s simply not the case at this point in this type of task.
Autopilot in airplanes doesnt fly like a human, and yet its installed and running on almost every passenger flight in the world.
The same way it knows anything, by looking at all of the tokens.
Why? We already write summaries as humans for long concepts and ideas. Executive summaries, abstracts, conclusions, we’ve been doing this kind of language compression as humans forever.
Emails chains can often contain out of sequence information, repetitions, contradictions, disagreements, and just the stupidity of human communication in general.
Deterministic software can’t summarize a long email thread, or that would already exist as a feature.
We can’t even get deterministic software to ask people what they’re calling their cellphone provider about well enough to route them on anything more than broad keyword matching.
This anti-ai shit is nauseating. Businesses that rely on it too much are going to fail, but businesses that refuse to use it at all will get out competed over the next decade.
It’s a tool like any other, use it where it’s strong. Like summarizing a fucking email thread. Modern models and integrations are not just randomly hallucinating topics of conversation in a single email thread at this point, we’re well past that level of incompetence.
I know don’t like it, but this is a perfect use case for AI.
Why does even-ness matter? Just because our number system is decimal doesn’t mean nature fits into that pattern nicely.
at 0.08 you can be measurably tested to have worse reaction capability, so that’s where they set the limit.
4 beers at 12 oz isn’t exactly 0.08, that’s just approximately what it takes in the average person. Some people will be more, some less. Time and other factors affect it too.
If those are the reasons you don’t want it, start with that up front. Don’t make bullshit claims about noise pollution or energy use.
This is the funny part. People complaining about pollution and energy use, when the REAL reason is that they’re afraid of the future of the technology.
If that’s you’re argument against it, just start with that, don’t make fake claims about noise pollution or energy use.
Gnocchi ARE potato pasta (at least the traditional version is). The four ingredients are potato, wheat flour, eggs, and salt.
It’s not “all around” and literally less than 100 houses are impacted. It’s situated in an industrial zoning area obviously with the grouping there, so maybe the anger should go towards the zoning rules and not the datacenter itself.
You’re right that they use more power and generate more waste heat per square foot, however, they don’t build larger AC units for them they just use more total units. They are effectively limited in size based on transporting it to the site on a truck, and are the exact same units used in current data centers and other industries that need cooling like this.
That place already had massive sound issues, it’s directly under the primary flight path for Dulles Airport and only 3 miles away.
A) Benn Jordan’s videos are pseudoscience bullshit not backed up by real science. Studies like https://pmc.ncbi.nlm.nih.gov/articles/PMC10032045/ show no effect from Infrasound on sleep for example, while clearly proving that traffic noises DO affect sleep. https://journals.sagepub.com/doi/pdf/10.1260/0263-0923.28.2.79 shows that while it can be annoying, it needs to be really fucking loud to do so at these lower frequencies, far higher than HVAC units even hundreds of feet away would produce.
B) You don’t understand at all what these AI datacenters are being used for. It’s not for personal use for funny picture generation. The scale is required for actual work being performed, not the random ChatGPT queries of home users asking about what to buy their significant other for their birthday.
C) They will increase productivity further. If you have a problem with productivity returns not being shared properly with workers (which is a problem I have too) the answer is not to attack a method of further productivity increase, it’s to change the rules around how companies and shareholders are allowed to operate.
You’re proving my point, these datacenters are not any different than almost any other industry. From factories to airports, they’re the same or sometimes worse than datacenters. Yet everyone is screaming about datacenters, despite most of them not even being built near residential areas.
Here’s some research that shows that Google’s largest datacenters didn’t receive any signficant noise complaints until 2025, despite existing for decades before that.
https://datacenters.newalbanyohio.org/resident-questions/
Over the course of more than 15 years of data center development, specifically, New Albany is only aware of four noise complaints from an operational data center – all of which were resolved within days. In September of 2025, the City received consistent feedback from residents near Google’s New Albany campus about noisy exhaust fans.
Yes, datacenters make Nosie, but so does almost everything else. Airports. Trains. Cars. Factories. The AC Unit on your own fucking house.
They aren’t special, and they aren’t even particularly bad compare to a lot of the other sources like Airports.
Do you know what makes a lot of noise? Airports. Trains. Cars. Factories. The AC Unit on your own fucking house.
We build and operate all of those, even in residential areas.
Datacenters are not unique, not even the big ones. The noise they put out usually doesn’t travel more than a couple of thousand feet, and the biggest “mall” sized data centers are not being built within a couple of thousand feet of houses.
Hilariously, some of the largest datacenters like the ones Google has in Ohio had no significant noise complaints until AI noise complaints hit the news. https://datacenters.newalbanyohio.org/resident-questions/
Over the course of more than 15 years of data center development, specifically, New Albany is only aware of four noise complaints from an operational data center – all of which were resolved within days. In September of 2025, the City received consistent feedback from residents near Google’s New Albany campus about noisy exhaust fans.
Because it’s BULLSHIT.
That noise pollution bullshit is quite literally the same scare tactics used against wind farms. It’s completely false.
And soon nuclear power plants will also be built right next to datacenters. All the big players are heavily invested in SMR reactors and there are like a half dozen under construction just to power datacenters right now.
I don’t think, I know. I use these systems regularly. They do a great job of the summaries. I sometimes double check things, but it has proved unnecessary since the later gpt 4 level models.
Your negative feelings towards these systems don’t magically override reality.