Readit News If you are transferring a conversation trace from another model, ... to bypass strict validation in these specific scenarios, populate the field with this specific dummy string:
"thoughtSignature": "context_engineering_is_the_way_to_go"
The may want to use 3rd party or just wait for AI to be more stable to see how people actually use it instead of adding slop in the core of their product.
For modern users of Z3, you'd want to do `pip install z3-solver` rather than use `Z3Py` mentioned at the very bottom of this doc.
> Saying “nuclear can handle the easy part” doesn’t help.
That’s literally how baseload works, look at France’s energy mix for an example, they have nuclear handle the bulk of their demand (at least the very minimum it will ever be) and renewables + transfers handle the rest, if renewables goes up they export it or lower their nuclear output (yes, their nuclear output can be modulated).
> You still need 20GW of extra capacity to cope
The goal isn’t to replace the entire energy mix with Nuclear, the goal is to add enough nuclear in the mix so that we don’t need gas being generating all year round (gas sets the price in the merit order so we don’t want it on 24/7). If you added just 6GW of nuclear you’d be achieving that on some days.
I never quite understood the logic for this. Sure, if you overlay a simple upward sloping cost curve on a downward sloping demand-price curve, the market-clearing price is where they intersect, and that in practice much of the time is a gas generator.
But there must be a million other aspects that can affect what price needs to be paid to secure the capacity below that point. Surely only part of the total area under that market-clearing price needs to accrue to the generators?
And if generators are getting windfall profits, can't the market rules be adjusted so more of it can given to the consumers in the form of lower energy prices?
Can someone explain this? Maybe that is what actually happens, just it is too complex for the mass media.
The *nix and DevTooling community is better for MacOS compared to Windows, and a large portion of the software industry is iOS native apps, which requires a Mac to develop on.
As for "a large portion of the software industry is iOS native apps"... How about plugging in some assumptions here and then multiplying them together:
1. Mobile app share of total software development. 30%
2. iOS share versus Android: 30%
3. What % of iOS app dev is native apps? 40%
My assumptions here give something like 4%. You should put whatever numbers you feel are right here, and I'm pretty sure it won't be close to "a large portion".