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And the people will be just simply fired for underperforming. Or anything else, it's easy when you have at will employment.

Better not, it's too buggy and sluggish, it's more in a beta stage on desktop. I've been using it for the last year but not anymore.

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.

Would you mind sharing some details on the 54kWh battery for €6500? I'm looking for one and this sounds like a crazy deal.

It's this one: https://balansenergie.nl/

They're a startup trying to get to the minimum amount of MWh to become a 'virtual power plant'.

It seems it's 48kwh, apologies. And it seems the cheapest batch is already sold out: it's now €6500.


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

I wonder if this benchmark brings any value. Models are already quite capable and reach high scores in it.

Check out the "The JSON-pass vs Value-Accuracy gap" section in the blog. That was an eye opener.

While most models were great at producing JSON schema, they were pretty bad at producing accurate values.

In the graph you'll is almost a 20%-30% drop between the JSON schema pass vs the value accuracy.


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.

No worries, chats soon will catch up with the ads!

No numbers/measurements/benchmarks and you dare call it "a working" one? Any real proofs that this 'works'?


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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