

bluetti is grossly overpriced and heavy, and does not even have the features of comparable models from last year. It’s not because there isn’t mass avaialbility of cells/packs they could build from. It’s just overcharging.


bluetti is grossly overpriced and heavy, and does not even have the features of comparable models from last year. It’s not because there isn’t mass avaialbility of cells/packs they could build from. It’s just overcharging.


Can buy them in relatively small quantities now online.


Sodium ion is great, but
While batteries have enabled passenger car developments, they have been somewhat stymied in large mobile power applications like shipping and electric trucks. That day is gone now. At these costs, electric shipping is achievable and the debate over alternative fuels will fall off quickly as applications are realized.
heavy transport is not the right application. Very heavy, and LFP has similar advantages while only being medium heavy. heating vehicle batteries is a solved problem.
Great that you can get a home power 48v 33.6kwh system for well under $3000. (afaik, it comes with connector plates for 112x100ahx3v for $2340. Don’t know about shipping or a box)
For 10% more, on that site, LFP is 33% lighter. Can affect shipping costs.
Sodium ion has extra applications/advantages. Not requiring a heated space could place them under solar panels in the field.
At $100/kwh or less, “retail”, offgrid even oversized solar+ batteries is far cheaper than any utility service. At low charge/discharge rates (4+ hour charge from solar, and 16 hours of discharge (even with 0.25c peak discharge), 10000 cycles is achievable with both chemistries. $0.01/kwh/cycle.


roadster and model 3/y were ahead of everything else when released.


Was there ever a hope that the customers buying the robots would control them?
MechaHitler controlled robot in my home or business is not a good marketing plan. Chinese companies are well ahead in robotics, and they have manufacturing customers, battery and motor research/leadership, lower bill of materials, plenty of AI skill. No reason to believe Tesla will be first or better.


“Open weight models are good (kind of)” is still up here https://www.ftc.gov/system/files/ftc_gov/pdf/remarks-by-chair-lina-m-khan-at-y-combinator.pdf
The objectively best part about them is scaling them small enough to run privately. The problem with AI as a “National Security” strategy is that it is a Skynet datacenter strategy. The reason to remove government content that it is ok for you to use AI for your purposes is that Skynet won’t be able to control you. The motivation for all of the datacenter investments is that the US government will buy all of the datacenter time to ensure Israel’s rule over the US.


it’s specifically saying that “one day” it will be made untrustworthy.


So uhm, copilot just told us not to use these new copilot features.


I asked copilot…
How would Microsoft loyalty to US or other government’s national security possibly compromise a user’s PC if that user gives copilot permission to operate their PC?
How national-security or law-enforcement demands could lead to compromise
Practical ways those legal obligations could manifest on your PC
Why elevated permissions matter
Risk-reduction steps you can take now
Quick practical checklist
Short conclusion Allowing Copilot to operate your PC raises the surface where lawful government demands or compelled actions could expose data or enable access. The likelihood and scope depend on which features you enable (especially cloud sync, screen capture, and elevated permissions) and the legal jurisdiction over the vendor or the data. Minimize permissions, disable content-capture features, and isolate truly sensitive workflows to reduce exposure.


a 2080S from 2019, a high end SKU, would struggle with many modern games at 1440p and higher. A profession streamer would be unlikely to use a 2080S.
On one hand a 2080s would still be good at doing what it was doing 6 years ago. If there are new needs, and unlimited power availability, then a new card in addition to whatever AI workload the 6 year old GPU can do in addition to the new card makes sense… if that card still works. Selling your 2080s or whatever old card, does mean a fairly steep loss compared to original price, but 6 year depreciation schedule is ok… IF the cards are still working 6 years later.
$3m NVL72 systems are a bit different, as one out of 72 cards burning out can screw up whole system, and datacenter power structure and expertise requirements, would have low resale value, though I assume the cards can be ripped out and sold individually.
They very much can be expected to engage in what is essentially accounting fraud.
Oracle this week “proudly boasted” that they get 30% margins on their datacenter, and stock went up. This is not enough, as it is just 30% over electricity costs. Maintenance/supervision, and gpu costs/rentals don’t count, and it is unlikely that they are profitable, though it’s not so much accounting fraud as it is accounting PR.


OP’s post is largely right, but it doesn’t require that link to be true. Also, whether these $3m+ systems are warrantied is a relevant question. It’s hard to know exact lifespan from one person saying their gpu failed quickly. Paper still stands well.
Because of power constraints, I’d expect they replace GPUs every 2 years with new generations, and so there will be big write offs.


The AI bubble doesn’t mean AI/LLMs aren’t useful. It means datacenter speculation can’t make money.
those GPUs are headed to the landfill.
They’ll just have a similar discount to the Ethereum switch.


This is not pro oligarchist app store. So can only be slavery anti-consumer extortion.
The thing is… side loading becomes more important, and paying less from apps by any other system becomes encouraged. No one likes this shit, but media ignoring actual fascism, doesn’t mean it won’t hit us/them.


Open AI gets so much free PR. Sora is free for now, and instagram getting flooded with copyright infringing crap is not what an expensive video AI creation is going to be paid for. AI videos are very expensive. There are very few people who will pay for it as an alternative for more expensive CGI. Advertising industry can consider full shift for video. They can avoid rights violations and still do it.
Point though, is that copyright controversies are irrelevant to everything important. There is a utility to it, but its not 60gw of power required market.


do you really think that even when Ai will start (if ever) to generate profits these will be able to repay all the investements done today
First, actual investments that have been done are relatively modest. It’s still a substantial portion of TSMC fab capacity. All of the deal announcements for datacenters are 50x-100x growth. I doubt all of this capacity will be built for a long time. Coding/reasoning models can have more demand, but openAI (most of the deal announcements) is not that good at those. 100x power growth is also 200x every 2 years token output growth, and if models get better, users need less tokens by getting it right on fewer tries.
Second, they are losing money at current levels. Oracle leaked it lost $100m on existing AI datacenter operating losses. Coreweave is fully levered at 10% interest rates. Everyone is operating like social media startups from 10-20 years ago. Only revenue growth and market share, and being cool, matters. Enshittification will come much later.
Third, datacenters are fundamentally flawed, and local AI has competitive advantage to them. AI is good at datamining the datacenter traffic for output that could be profitable to steal.
Fourth, the only business model is US military and disinformation control. They will pay infinitity, and support infinity investment. Giant datacenters are about Skynet. Not market profits. That US government would protect their oligarch partners in stealing your ideas/llm outputs, and amplify current media’s messaging that anti-genocide views are treasonous anti-American sentiment.
how many resources this growth has taken from others places…
If all the money goes towards skynet, energy bills for everyone else will go up, including what little manufacturers there are in US. Insisting on war on China and Russia is helped by forced unemployment, and fascist response to the unemployed’s uppityness. Datacenter AI’s primary certain value is as a new cold war Arms and disinformation race.


that is how OpenAI measures all of its deals. the GPU providers DGAF about that measure, and “real deals” will be for x number of gpu’s instead. OpenAI PR make stonk go up, is vagueness everyone else seems to enjoy. It makes 0 sense in any deals these companies can make. It just scares the rest of us for how much the power bill go brrrr.


this chip doesn’t run android? Is it harmonyOS or a new xiaomi OS?


Canadian providers allow unlocked phones.


Just defining what soft power means. Soft extortion and bribery just as bad as extortion and bribery.
FYI, about half of Nvidia cards are assembled in China. The PCB, cooling, capacitors and voltage regulators are made in China, regardless of assembly location.