@flexibledragnet Do you have the ability to understand counterfactuals?
Because all the evidence seems to suggest that you don’t. And that would explain a lot.
@flexibledragnet Just looking at the first of the 3 deals gives you 2609 MW of capacity vs the counterfactual.
Signing a 20 year PPA is a choice is decision made by professional engineers.
They have run the numbers, looked at all the options, and made a rational decision.
@pbeisel There is nothing to argue, because he’s just wrong.
Even if the gear adds zero drag, its weight alone results in 2.5-3x more fuel burn than what’s he’s claiming.
That’s just physics.
Either you don’t understand the physics, or you don’t want to admit he’s wrong.
@pbeisel Induced drag is proportional to the square of lift.
Even if the antenna has zero mass, and zero drag, everything else brings you north of 100KG.
For TOW of 65 tons, that’s a 0.3% increase in induced drag.
Stuff you just know, if you actually study engineering.
@flexibledragnet@roobar1984 Google is investing in a developer of Solar, Batteries, Wind (Clean power) in addition to Nuclear (Clean power).
Are you forgetting the NextEra and Elementl PPAs from this year?
How does this contradict the claim that including nuclear in the mix reduces total cost?
@flexibledragnet@roobar1984@PaulMan77121652@simonahac@ShackelWill You have confused Capital Flows with Capex.
Capital flow:
• Real estate investment
• M&A transactions
• Buying or selling DC companies
Inflated by the purchase of (Australian) AirTrunk by Blackstone
Capex: How much is actually being invested building DC’s. (Over $200B)
@roobar1984@flexibledragnet@PaulMan77121652@simonahac@ShackelWill They want to buy as much cheap *clean* energy as they can get their hands on.
I’m not sure why you are struggling with the idea that clean power includes nuclear.
Of that nuclear helps stabilise Europe’s (Including Ireland & Denmarks) grid.
@roobar1984@flexibledragnet@PaulMan77121652@simonahac@ShackelWill You keep going back to arguments saying that a theoretical model says X.
While ignoring the behaviour of (in your words) ‘hyper rational’ consumers.
As an engineer, I’m used to dealing with conflicts between my models and reality. But I know the reality is what counts.
@roobar1984@flexibledragnet@PaulMan77121652@simonahac@ShackelWill Latency isn’t an issue for LLMs. Models take 5+ seconds to fully generate a response so 100’s of ms is meaningless.
Thats why all the training and inference is in the US ☢️.
Latency is so little of a problem that Meta and Apple don’t even bother with DCs in Australia.