Remember that many people are heavily are happy-path biased. They see a good result once and say "that's it, ship it!"
I'm sure they QA'd it, but QA was probably "does this give me good results" (almost certainly 'yes' with an LLM), not "does this consistently not give me bad results".
LLMs can handle search because search is intentionally garbage now and because they can absorb that into their training set.
Asking highly specific questions about NYC governance, which can change daily, is almost certainly 'not' going to give you good results with an LLM. The technology is not well suited to this particular problem.
Meanwhile if an LLM actually did give you good results it's an indication that the city is so bad at publishing information that citizens cannot rightfully discover it on their own. This is a fundamental problem and should be solved instead of layering a $600k barely working "chat bot" on top the mess.
I use Duckduckgo so I don't see really garbage search imo but not sure about people who google.
But as you say that LLM's cant handle search. One of the things that I can't understand and I hope you help in is that this doesn't have to be this way.
Kagi exists (I think I like the product/product idea even though I haven't bought it but I have tried it). Kagi's assistants can actually use Kagi search engine itself which is really customizable and you can almost have a lot of search settings filtered and Kagi overall is considered by many people as giving good search.
Not to be a sponsor of kagi or anything but if this is such a really big problem assuming that NYC literally had to kill a bot because of it & the reason you mention is the garbage in garbage out problem of search happening.
I wonder if Kagi could've maybe helped in it. I think that they are B-corp so they would've really appreciated the support itself if say NYC would've used them as a search layer.
Nova has been my favorite launcher for years, but after this, I may have to look elsewhere. Even as a paid user, I don't have much confidence that I'm not being sold off for ad exploitation.
I read another post this morning that there was already an update last night with a bunch of tracking code added, and additional permissions required (that didn't trigger anything for the user to know of those additional permissions).
I am a paid Nova user from a decade ago, but haven't used it in ages fwiw.
I missed the post yesterday. Good to read it today. Uninstalled after reading this and switched to Octopi (interestingly the same name as the Pi-based 3D printing webservice). Only missing features so far is more icons on the drawer in width and top-used. Then again insta-search also solves this.
This isn't technical analysis, this is an article on how to use the options market's price discovery mechanism to understand what the discovered price implies about the collective belief about the future price of the underlying.
Technical analysis is the projection of future price data through analysis of past price data (usually for the purpose of trying to create trendlines or find "patterns"). Options pricing is quite a different beast - it encodes marketwide uncertainty about the future price of the underlying, which has little to do with the past price action of the underlying, and everything to do with all known information about the actual underlying company, including fundamentals analysis, market sentiment, future expectations and risks, etc.
To put it another way, to price an option I need a) the current price of the underlying, b) the time until option expiry, c) the strike price of the option, and d) the collective expectation of how much the underlying's price will vary over the period between now and expiry. This last piece is "volatility", and is the only piece that can't be empirically measured; instead, through price discovery on a sufficiently liquid contract, we can reparameterize the formula to empirically derive the volatility expectation which satisfies that current price (or "implied volatility"). Due to the efficient market hypothesis, we can generally treat this as a best-effort proxy for all public information about the underlying. None of this calculation requires any measurement or analysis of the underlying's past price action, patterns, etc. The options price will necessarily include TA traders' sentiments about the underlying based on their TA (or whatever else), just as it will include fundamentals traders' sentiments (and, if you're quick and savvy enough, insiders' advance knowledge!) The price fundamentally reflects market sentiment about the future, not some projection of trends from the past.
Arc Raiders runs great. ProtonDB is the right thing to check to find out if any given game is gonna run on Linux. Fortunately, the success of the Steam Deck has more and more devs playing ball.
You could just buy another SSD and install Linux on that. Then, you have your Windows drive left untouched and pristine so you can swap back if you want, or you can pull data over as needed.
Yogurt's been a staple of mine ever since I started eating clean years ago. It's high in protein, can be mixed with all sorts of protein powder, fruit, nuts, and seeds, and is always quick and easy to prepare. The probiotic effects are an excellent benefit, but the real trick for me is that it offers that junkfood-like "quick snack" availability while being actually pretty nutrituious. It makes a pretty solid default snack.
I appreciated the essay, GPTisms aside. The core concept is one that I've felt for a long while, but you articulated it more cleanly than I've been able to. I'd explained it as into "the tasks are replaced, the job is not", but I like your distinction better.
I'm sure they QA'd it, but QA was probably "does this give me good results" (almost certainly 'yes' with an LLM), not "does this consistently not give me bad results".
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