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Comment Backwards from what they think? (Score 4, Insightful) 25

Given that big companies have already made it clear that they think AI will let them do the same work with fewer people, and given that using AI costs the company a lot in terms of compute resources, it seems intuitively obvious that the only reason execs would want to encourage more AI use is to find out what jobs can easily have their headcount reduced by more use of AI.

The people using the most tokens are the ones for whom more of their jobs can be most easily automated. This is not, IMO, a positive sign for the long-term survival of that particular job role. The only rational response is to use AI just enough to show a speed-up, assuming the speed-up actually happens at all, but not enough to be high up on the chart of AI users. Using it way more than that seems self-defeating.

Comment Re:The geothermal plant already exists [Re:MS Pow. (Score 2) 43

The summary says that this thing is supposed to be geothermal powered. So they just have the cart before the horse here. They need to set up the geothermal power plant first, then build the datacenter after the power plant is operational.

The geothermal plant already exists: https://www.globalelectricity....

Apparently, Microsoft was proposing to build the data center there and tap into the existing geothermal power, not build new geothermal power (the summary was a little confusing about that).

Yeah, that was confusing. But Kenya's president is almost certainly wrong. Here's why:

1. It is not numerically correct, assuming the numbers in the summary are accurate. The country has a surplus adequate to power the data center at somewhere around half to three-quarters capacity even at peak power use, and probably at full capacity for 99 days out of 100. So even if they built it at full capacity right off the bat and did nothing else, you'd still only lose power to a small fraction of Kenya occasionally.

2. They're not building it at full capacity. They're building a small data center at first, then building it up over time as more generating capacity comes online.

3. They're a reliable customer of power. That means that they will alway pay the bill, even if it is high. The grid operators and generation plant operators can charge them a huge premium for bulk power, then use that extra revenue to build more power plants. By the time the data center is running at full capacity, they could have more than enough power to power it.

4. Even if that extra investment in production doesn't happen, they can just refuse to provide the additional power from the grid. I'm sure Microsoft knows how to do solar + storage by now, and if not, they can pay someone to do it for them who does. Or they can build their own geothermal plant right next to the existing one. Or they can do any number of other things to produce power, like installing an SMR.

5. Nothing inherently prevents them from reducing power usage during peak load periods. Service will get slower, but should gracefully degrade, assuming they're doing it right. Nobody will lose power, realistically speaking.

It is unfortunate that so many people look at these data centers and the current worst-case state of resource availability and conclude wrongly that they are infeasible, but this is a common mistake made by planners, legislators, and members of the general public. They fail to account for how the existence of the data center with its need for resources will trigger the production of facilities to exploit previously unusable resources and make them available, and they fail to recognize that in a true power emergency, they can just turn 90% of it off and shift the load to other data centers.

But the reality of the matter is that nobody is going to build a gigawatt of additional power capacity in Kenya unless the government or some private company that needs power pays them to do it. They already have a 23 to 30% surplus compared with their worst-case power consumption. That means that adding more production will just drive power prices down, so they'll get less money for the power they produce.

But as soon as someone like Microsoft starts needing enough power to pull those margins down, suddenly additional capacity becomes economically feasible, and you'll see either existing power companies expanding or new power companies entering the market. And the existence of an all-but-guaranteed higher future demand is the key to making that happen. Without the data center being approved, that motive to expand does not exist, and the grid will likely stay at or near its currently levels unless the government forces the hand of the market by paying someone to build more generating capacity.

Comment Re:Nothing new under the sun... (Score 1) 42

Tech people love to classify things, including companies, as hardware or software. The really successful companies recongize that neither works without the other, there are a lot of opportunities that come with making both, and customers value not having to chase down various suppliers when they have a problem.

Comment Re:But the real cost is increased service prices (Score 1) 65

Also, anything sounds big when you put it in gallons. Doesn't sound so big when you mention that's 92 acre feet, the amount used by less than 20 acres / 8 hectares of alfalfa per year. Or when you mention that a typical *closed loop* 1GW nuclear reactor uses 6-20 billion gallons of cooling water per year (once-through uses 200-500 billion gallons, though most of that is returned, whereas closed loop evaporates it)

Comment Re:That makes sense. (Score 2, Insightful) 61

I don't think it has anything to do with that. As soon as I saw the headline, my mind went "cohort study". And sure enough, yeah, it's a cohort study. Remember that big thing about how wine improves your health, and then it turned out to just be that people who drink wine tend to be wealthier and thus have better health outcomes? And also, the "sick quitter" effect, where people who are in worse health would tend to stop drinking, so you ended up with extra sick people in the non-wine group? Same sort of thing. This study says they're controlling for a wide range of factors, but I'd put money on it just being the same sort of spurious correlations.

Comment Re:Huge disconnect (Score 1) 172

The question I have here is based on what?

Based on my analysis of their needs and what AI can deliver. I agree that it's management's job to increase efficiency and output, but change for change's sake is never good. For instance, in the examples above I *knew* what AI would deliver. I told them, in no uncertain terms, what product they'd receive. They still made the decision to push ahead ( and I'm more than willing to cash that check ). I can see, objectively and by any metric, that what was delivered is a worse customer experience than what they had before.

However, because it's "AI", that makes it acceptable. The buzzword has effectively disabled the rational and critical thinking parts of this management's teams brains. Of course I have seen this before ( First rule of IT: Vendors lie, Second rule of IT: Managers believe them ), but to this extent? Especially in smaller businesses, where margins are tighter. For what they're paying for this AI solution ( ha, "solution" ), they could afford to hire another staff member; another person on the phones, and far more capable than AI in delivering the ultimate product ( caring for the patient ).

Mind you; I pointed all this out to them. They know the math, but they are so...enamored with AI that it doesn't mean anything to them. Meanwhile, patients and staff hate it.

I'm sure there's AI use cases out there which deliver a decent ROI. What I'm seeing in the field, however, is management hysteria for the latest thing at a scale I've never before experienced.

I shouldn't complain, it's paying extremely well, but I know this will all come crashing down at some point.

Comment Re:Stupid people invited as speakers will get booe (Score 1) 172

AI is only going to replace jobs that people hated doing in the first place, (eg boring, repetitive, hostile-customer facing jobs)
Prepare for a future where "I want to speak to a manager" results in being sent to an AI to stonewall you.

"AI" has been replacing these jobs for years. When's the last time you had to go to a travel agent, no you just use Google Flights and book direct like anyone else with half a brain. Same with vacuum cleaner salesmen.

Also I long for the day where Karens get sent to AI, anyone who has ever worked retail sees that as a utopian future.

Comment Re:Significant (Score 1) 26

RCS isn't a good standard. It was so crappy that Google essentially bought it, added the minimum necessary to turn it into an acceptable messaging platform and made their proprietary version (as opposed to the original GSM's proprietary version) their messaging platform. Er, their fourth (fifth?) messaging platform.

Comment Re:What ... (Score 1) 102

too many folks are still stuck on IPv4

Printer is IPv6 only?

What I'm saying is that if everyone had IPv6 in their homes and offices, remote access wouldn't require all the silly cloud server games. You could just hit the device directly by its IPv6 address, and assuming your router suppoerts UPNP pinholes, you're done. You'd need dynamic DNS and that's it.

I can understand the remote printing (not on the same network) part. But only up to the point where something jams and I'm not there to yank the plug and untangle it before it gets hopelessly borked.

An emergency stop button in the app should be able to do the same thing. If that's not possible, it's a rather bad design flaw.

Also, if something jams in a way that could cause meaningful damage (beyond having to brush blobs of filament off of the hot end) and the printer doesn't detect it, that's also a rather bad design flaw.

Comment Re:Huge disconnect (Score 4, Interesting) 172

I've been through more than a few technology cycles, so while I don't necessary disagree with you, the scale of the disconnect between the worker bees and management is more significant than I ever remember.

It's becoming exceedingly difficult to dissuade management from AI courses of action, even when they make no sense or will end up delivering a substandard product for significantly higher cost.

For instance, I just had a client implement an AI auto-attendant for a medical office. Were they having difficulties answer the phone in a timely manner? No. Do they anticipate a staffing shortage that would cause such an issue? No. Will the auto-attendant be able to accomplish what a regular worker can? No. In fact, it can pretty much only answer the phone and find someone for the caller to talk to.

But by god, management had to have it. So, for an extra 2000 a month they get a middle man that delays delivering service to patients. Management loves it. Folks answering the calls hate it because the patients hate it.

Different office asked about AI curated music. Another client asked about replacing our network monitoring software with AI so their IT staff can stop working after hours. They both will end up getting their wish, and at least in the case of the network monitoring solution it's going to cause so many issues I'm having them sign a waiver before I implement; I won't be held responsible when the AI agent is rebooting servers randomly because it thinks they're offline.

Comment Re:hmm (Score 1) 172

Why? If she's an experienced speaker I suspect the VP of strategic alliances for a multinational private equity holding company is used to talking to a very specific type of audience. We even have a phrase for that that comes from a similar type of speaker: "preaching to the choir."

The real hilarity is that someone from a humanities college thought she'd be a good pick.

Comment Re:Unpopular but correct opinion (Score 1) 172

That, by its very definition, is an area where AI should have very limited use

The definition of AI is essentially:

"to proceed on the basis of the conjecture that every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it."

So no, by definition, the stuff those humanities students do is a prime target. We used to think that the creative humanities stuff was going to be really hard, maybe the ultimate goal for AI, but it turns out it's not.

Comment Huge disconnect (Score 5, Interesting) 172

More than any other IT fad over the past 2 decades, I've noticed AI has really divided "decision makers" and "makers/workers". Those of us in the trenches making things work are highly skeptical of AI and treat it much as we have any other "flash in the pan" technology; weary, willing to test/play with it, but disbelieving of the hype.

The decision makers though...whoooboy, they've bought into the tech hook, line and sinker. They want AI everything, even in places it makes no sense. They can't define what they want AI to do, or how it's supposed to do it, but by god they will sign away millions of dollars in pursuit of their golden cow.

The only time I really saw anything like this was with "Teh Cloudz!", but even then it was tempered by practicality. AI? It's magic beans, all the way down.

Comment Re: All according to plan. (Score 1) 209

I have an F-150 Lightning. It's 2 $200 parts to convert from NACS->CCS1 (one for DC, one for AC). The connector type doesn't matter. CHAdeMO requires an adapter that costs thousands. It's not comparable.

CHAdeMO to Tesla adapter: $565. If adapters in the reverse direction from NACS to CHAdeMO cost thousands, it's because the market is too small to achieve economies of scale. Yeah, you need some active electronics to negotiate the protocol, whereas NACS uses the CCS protocol, so you can do it with a passive adapter, but the actual DC is still DC.

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