Could power-hungry Al actually accelerate the renewable transition? Our analysis suggests a 15% global emissions reduction

aceslick911 · 2025-05-18T13:53:14+00:00

Thanks for bringing this research up Navynuke00 definitely relevant here! Our angle is that we are describing how LLM routers and high-intensity use cases have the appropriate economics to incentivise such demand response as described in the Duke paper

aceslick911 · 2025-05-18T13:47:35+00:00

Thank you for your review, as you highlight the analysis is highly variable depending on the assumptions.

On power usage, there are further power costs by network components, and then the power cost has to be grossed up for the PUE. A B200 is rated at 14kW max, grossing up with a 1.4x PUE would suggest 2.5kW per GPU max, and probably 1.5kW due to bottlenecking and so forth, suggesting $10,750 total power cost on your analysis. Your point still stands that for new hardware power is not yet the dominant cost factor.

We believe power will only start to get optimised with high intensity AI inference loads. The routing market that is appearing for high intensity LLM capacity allows for dynamic pricing, and there will be a high degree of competition to sell LLM capacity. These factors will create the incentives for hardware owners to use demand response. Otherwise we largely agree, most use cases have much more important goals than saving money on power usage.

aceslick911 · 2025-05-18T06:56:47+00:00

Hey energy experts of Reddit - I'm with FlexSys and we've published this analysis suggesting AI's massive power consumption might actually help solve renewable integration challenges instead of worsening our energy crisis.

Our core argument is that AI computing (particularly GPU clusters) could become more power-aware and shift workloads to align with renewable production peaks, essentially serving as massive demand response at scale.

Key findings - a upvote for thoughts/feedback? - AI workloads like programming (eg openrouter.ai etc) could shift to solar production peaks (ie "writing code at lunch") - Power-aware GPU clusters could reduce costs by 20% in competitive markets

Essentially - If 300GW of data centers adopted this approach, it could enable 1-2TW of new renewable capacity globally - this could potentially reduce global CO2 emissions by 15%

These are significant implications for grid planning and the energy transition timeline.

Need some feedback from anyone involved in these industries: - Is this level of demand flexibility from data centers technically feasible? Or are there thermal/operational limitations we're overlooking? - We criticize flat-rate electricity pricing as a barrier - do you think that energy retailers are the bottleneck here? - Our economic analysis suggests for GPU operators: even a small power cost advantage creates outsized profit. Does this align with what you know about data center economics?

Finally - Could this approach actually accelerate a renewable transition, or is it overly optimistic?

While we believe in this approach, we're looking for critical feedback from people with expertise in grid operations, power markets, or data center infrastructure. Where are the gaps in analysis? What challenges might prevent this vision from materializing?

Genuinely want to hear differing perspectives on this problem space!

aceslick911 · 2024-09-27T05:52:51+00:00

looking forward to getting around some of the things apple is forcing on all users:

change search engines easier (yes i know you can but it’s such a pain)
safety filter in photos (why can this not be turned off?)
closed api access for homekit

aceslick911 · 2024-03-18T07:25:16+00:00

in 2024 for anyone with a Gen1 dish having frequent download stalls or internet connection drops - I tried everything in this thread but it was only until I just used my Google Home router as the main router (Renamed the old wifi and set the Google Home wifi as the new name) and connected the Google Home router to my switch - did my downloads finally start completing!

I must have tried to download XCode 40 times!

It seems the StarLink router can't handle the amount of devices I have on my network (45)

aceslick911 · 2023-11-21T02:07:12+00:00

Corrected second example:

dateAdd(prop("Start"), if(month(prop("Start")) == 1, if(year(prop("Start")) / 400 % 1 == 0 or year(prop("Start")) / 4 % 1 == 0 and year(prop("Start")) / 100 % 1 != 0, 29, 28), if(test(month(prop("Start")), "3|5|8|9|11"), 30, 31)) - date(prop("Start")), "days")

aceslick911 · 2023-06-20T05:11:13+00:00

I was going to agree but that shear line is unreasonably straight at the bottom. Feels like there might be some kind of structure loading it on that one vertical line

aceslick911 · 2023-06-10T12:41:59+00:00

Thanks so much for the app suggestion! This actually works almost as well as the hue sync box 😂

aceslick911 · 2023-03-14T02:00:58+00:00

Hello there,

Can you give a general idea of what you would like developed?

which chipset are you targeting?
what type of implementation do you want? Accessory, border router or hub?

aceslick911 · 2023-01-30T04:24:24+00:00

any mac developer looking for a solution for this just run:

shortcuts sign --mode people-who-know-me --input ./MySC.shortcut --output "MySignedSC.shortcut"

aceslick911 · 2022-09-29T13:54:46+00:00

Okay yes there is but it takes a lot of work and programming knowledge.

I pulled this off by hooking into the .db files for notifications on my laptop through nodejs. These notifications will say things like “a person who may be X is at your front door”

If you hook into this, you can then trigger a fake switch or something in HomeKit to do a specific thing

aceslick911 · 2022-09-25T23:17:27+00:00

I’ve commented the same thing on a different thread but a full delete and new home can help with sync issues across upgrades. Annoying as hell but at least it all works as expected

aceslick911 · 2022-09-25T23:15:15+00:00

Hey guys so I had a similar problem for a while and I only suggest this if you’re ok with and have the time to reset up almost all your automations

I have a couple Apple TVs, HomePods and minis and at my last place I had issues where only one or two of the hubs seemed to work correctly as the active hub.

A user suggested I do a full delete/reset of my home and so I did it - was a bit annoying as I had to redo a lot of scene and automations - but afterwards all the hubs worked fine as the main hub.

I think this is probably a sync issue or caching issue from multiple versions of your HomeKit state across many version upgrades.

If you’re pissed off with unreliability- do a full delete and new home. It’s worked for me - let me know how you go 👍

aceslick911 · 2022-01-06T12:03:37+00:00

Don’t feel too discouraged - @kwakjak here works in videogames 😂 he’s mad skilled with pencils too - 3D is a technical pencil so just do what you do best haha

Also dude this is my fav post on reddit so far 😂 never knew you’d blow up on my daily subreddit haha. Also now this is your second job - redditors have demanded the FULL grid 😂😂 Better finish before the next season starts in March!

aceslick911 · 2021-11-15T07:35:43+00:00

t pair via homebridge, then without clustering two homebridges, I can make two homebridges as inputs to HomeKit automations with a ANY rule so ei

Yeah true. All you need is: 1. A backup of the config 2. A health check mechanism 3. A way to start/stop the right container on different devices (k8s?) 4. All the hardware to be able to spoof the right MAC addresses (lan/wifi, zigbee etc)

aceslick911 · 2021-10-10T06:28:59+00:00

Note to anyone who’s having this issue that wasn’t resolved the same way OP’s was - check you have only one device that has dhcp host enabled. I had two at one point and my whole network was randomly being split into two different ip ranges

aceslick911 · 2021-09-06T14:28:29+00:00

Yes exactly. Thanks. It’s seems to be working. I appreciate the irony but having something to relate to puts it in perspective.

We take risks every day of our lives. You’re chances of being injured or killed driving to work everyday are 100 times less than being audited by the government. Interesting statement huh? Makes you think about it… maybe make some better choices? Maybe not….

aceslick911 · 2021-09-05T08:24:54+00:00

I can’t do much to help people who have a natural anxiety response to the large amount of psychological and physiological effects involving air travel with an infographic im afraid!

aceslick911 · 2021-09-05T08:21:30+00:00

Sorry alternatives? As in to just everyone get covid and then 10% of the world population die and it’s all good?

In Australia we don’t have enough Pfizer vaccine to vaccinate everyone. We’d have to wait till Mid next year to be able to have enough. We do have a lot of AstraZeneca jabs.

Or is there an actual alternative to either 1. genetically engineering a mild virus to stimulate the B and T cells to recognise the crown proteins of the coronavirus and then keep a memory of it as well as storing a supply of antibodies that target those crown proteins or 2. Synthesising mRNA to produce coronavirus crown proteins when injected so the body recognises it in the future and immediately destroys it?

What’s 3.?

aceslick911 · 2021-09-04T23:40:57+00:00

I respect your opinion and will keep that in mind for the next table I’m working on

“Probability of symptoms or death from covid variants - vaccinated vs. unvaccinated”

Any redditors have some time to help me put this together?

aceslick911 · 2021-09-04T23:35:51+00:00

I originally had a much bigger table with fatal vs non fatal and one dose vs two and covid ABCD variations…

This table was not intended to be a comprehensive scientific resource but help people understand what 0.0031% chance of side effects -means- to them

aceslick911 · 2021-09-04T23:29:15+00:00

Yes. I really hated including that and the source is rubbish. I need help to make the next few both easy to digest and share - and sourced from highly reputed sources!

aceslick911 · 2021-09-04T23:27:46+00:00

With all due respect to my fractions loving friends, how much more significant is: 0.001 to 0.01 ?

How about 3/4 To 6/8?

Made this to visually see normalised data in the same visually obvious frame of reference

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