Keep in mind that heat pumps have a limit how much they can pump (it also depends on temp., there is less heat in 35F air). If your house is not well insulated, at a lower temperature it would be loosing more energy and eventually it would reach the threshold where it's performance is not enough to keep up.
You should work on more and better benchmarks before claiming it's value. The benchmarks present are naive ones and only count tokens. What about performance of the model? Is it really better than caveman or just simple 'be brief'? Only numbers could tell
Looks like Microsoft has run out of compute and can't scale it fast enough to serve copilot users and Azure AI Foundry needs, given that the customer base is growing there as well.
Productivity per dollar doesn't increase because for maturity levels 1&2 the costs for inference and extra team load (PRs quantity and size) eat up all gains. Only on level 3 one can see actual productivity impact. Most companies are between levels 1 and 2, that's where only costs are rising.
Levels: 0 - no AI, 1 - AI enabled (copilots), 2 - AI assisted (autonomous agent pipelines not on your PC) , 3 - AI measured.
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