I received a referral bonus and where the company payroll made an error and accidentally gave me a higher bonus per the level of employee my referral reward was (they set it to the bonus level for a VP and she was a Sr. Director). So unbeknownst to me they gave me $5000 extra in my bonus that should have been only $3000, not $8k. Accounting figured this out next tax season, so then they informed me the would be clawing their error overpayment back had, which apparently is legal. Thus the $5k was taken out of my next paycheck. Their error was not my fault!
I was really annoyed and basically stopped going above and beyond for that company the rest of the year. :-/
It just seemed very petty and reactionary of them for something that was their error originally. This messed up my budget and suddenly having $5k less 9 months later that I hadn't anticipated was a bit of an unforeseen financial hardship. Also she had been my 5th referral to date that they'd hired!!
The whole thing was very demoralizing.
It isn't, because that implies getting everything necessary in a single action, as if there are high quality webpages that give a good answer to each prompt. There aren't. At the very least Claude must be searching, evaluating the results, and collating the data in finds from multiple results into a single cohesive response. There could be some agentic actions that cause it to perform further searches if it doesn't evaluate the data to a sufficiently high quality response.
"It's just a super-charged search engine" ignores a lot of nuance about the difference between LLMs and search engines.
But that's not what OP was contesting. The statement "$LLM is _doing_ $STUFF in the real world" is far less correct than the characterisation as "super-charged search engine". Because - at least as far as I'm aware - every real-world interaction had required consent from humans. This story including
Still missing something in relation to a point above. Does one of these scenarios involve the operator “paying” or “giving back” actual money when the market price is higher than agreed? As opposed to just operating at a loss or less profit?
If you are interested in the mechanics, then _I think_ (i.e. not first hand knowledge) the operator will join each auction (once per day for each 15 min interval of the next day) and offer his energy amount there. He will then receive the integral of (auction price) times (volume) from “the grid”. If that is too little money he then goes to the government and asks for a top up to (contract price) times (volume). If that was too much he has to pay the government the difference.
But again. That is purely mechanical. The end effect of the contracts is you will always receive say 80£ per MWh delivered. Independent of the MWh was worth 500£ in that 15 min interval or -50£. It’s “just” a risk transfer
Ah I’m seeing a possible confusion. There are two different auctions in the description. The first one is for the CfD price and happens (for each project) once. The second one is the daily-price-discovery one and happens daily
(Or in the case of renewables: producing for less profit than they would if they made their contract later)
From the first two you can calculate what you need in terms of £/MWh (include whatever profit you want in there). Now you can go to the government and bid that price in the auction. If you win, you have a safe profit and all risk (and upside potential) now lies with the government. As GP said, in the case of 2022 you would have lost out on revenue. But that’s the price foe guaranteed margins
The CfD part is a technical detail. It ~ doesn’t matter whether you first sell the energy and then go to the government for reimbursement. Or whether you sell the energy to the government which then handles the follow up sale.
What I’m not sufficiently familiar with is whether you _have_ to go to such an auction (i.e. whether the auction also is the mechanism of capacity planning) or whether you are free to bypass this system and just hook up your wind park and carry the risk yourself. But functionally this is an insurance scheme for profits, with a market based pricing system
Also, hotel rooms tend to offer privacy. If you do that in a vehicle people get motion sickness.
To be clear, I do think there's interesting stuff in this general area. I'm just not sure it's as a sleeper bus. The big OEMs have loads of interesting concept designs buried in their basements about similar vehicles that I wish could see the light of day.
Whether it will be possible to be cheap enough operationally is an interesting question though. The price of an (autonomous) taxi is (probably?) largely lower bounded by cost to build the system divided by the number of times it's used. And that means the denominator largely scales inversely with trip length. So it might still be too expensive to offer hotel-price level fares for night-long drives
But they can impossibly actually know who physically has the pager next to them, when they're triggering them. This is the "failing to verify each target" part.
It's generally the most optimized system down to the fact that Apple controls everything about it's platform.
If that's considered baseline, then nothing but full vertical integration can compete
Also, they rely surprisingly closely on "good" code patterns, like comments and naming conventions.
So if anything, a managed language [1] with a decent type system and not a lot of features would be the best, especially if it has a lot of code in its training data. So I would rather vote on Java, or something close.
[1] reasoning about life times, even if aided by the compiler is a global property, and LLMs are not particularly good at that
On the other hand: the usefulness of LLMs will always be gated by their interface to the human world. So even if their internal communication might be superseded at some point. Their contact surface can only evolve if their partners/subjects/masters can interface