Already happening. UK airlines are desperately culling flights, and have been doing so for the past month. The pace of cancellations is also increasing, with the last week seeing cancellation waves that from the outside look quite paniccy.
CC demonstrated that one can have a powerful, flexible and responsive interface in a terminal, and to have that for a piece of software that has wide mass market appeal. I don't think we've seen this since WP5.1 . (Personal opinion: the CC terminal application beats their desktop software hands down in usability. That said, the desktop software is a lot better for corporate email trawls and helping to iterate on visualisations.)
Then for prospective devs, CC makes it easy to sling (and debug!) code that handles the various terminal vagaries with much less headache. No need to care about manually maintaining control code state machines; no worries about a missed SIGWINCH handler screwing up your in-window layout on resize or font size change; much easier integration with available CLI tools.
I have written some ncurses/C code in my time. I wouldn't want to do that by hand again.
To be fair, I do that. 2-3 times a day, in fact. Not all of my emails (the archive has ballooned to several hundred thousand messages total), but the most recent ones certainly.
My standard prompt is along the lines of "go through the last N days of my emails, identify all threads that I need to know about, action on or follow up with". N is usually a number between 2 and 5. I've specified a standing of set of rules to easily know what is likely a source of noise to aid in skipping the bot spam.
The company is charged API pricing through an enterprise contract, and I remain persistently curious how much I burn. My daily admin-related token expenses appear to fluctuate between $1 and $5. For something that saves me up to 2h of time a day I consider that a rather tolerable deal. (When I dive in to code to do refactors or deep investigations, I can spend as much as $25 a day.)
This is a good example of doing it in a deliberate way that absolute is worth the tokens etc... especially when you are keeping tabs on the cost vs time saved.
The example I was thinking of would be a vibe coder having it "read my emails every hour" only for claude to read the same 1000 emails over and over...
Maybe because Anthropic are trying to get to an IPO and everything is securities fraud?
If their CEO was just flapping his mouth without any other comparable baseline, it'd probably be different. But as the GP points out, open-weight model providers are charging comparable rates and very likely have positive profit margins. That would imply that with API pricing tokens are sold at above cost.
That cost may well be "inference only", so excludes everything apart from hardware and power. Whether that's enough to cover the enormous training costs and other overheads is a different question.
The best way to describe AI agents I've heard: treat them as hostages that will do anything to appease their captor.
They have a vast latent knowledge base, infinite patience and zero capacity for making personal judgement calls. You give one a goal and it will try to meet that goal.
> The best way to describe AI agents I've heard: treat them as hostages that will do anything to appease their captor.
A scary image, if we consider agents to develop anything like a conscience at some point in time. Of course, with the current approach they never might, but are we so sure?
Kind of the exception that proves the point. Yeah LDAP is open, and there's a dull roar of an underbelly of stuff glued together, or glued to AD via LDAP, but AD is proprietary and if it had been completely proprietary instead of built on LDAP it probably would've been just as successful. Just kind of an accident that it "won" as an ITU standard, it could've been a Bill Gates fever dream instead and still made it
They're already crippling their AI to perform what look like sponsored searches.
The plural of anecdote is not data but this does not feel like a one-off thing: I was trying to find where it would be possible to get to have a reasonable holiday, and asked Gemini to list me all the international airports in two named countries that had direct flights from my preferred departure airport. The response came back with a single proposed flight destination with "book here" prominently available.
Only once I told it that the search was NOT an impulse purchase intent and I really wanted to know the possible destinations - then did it actually come back with the list of airports that satisfied my search criteria.
Although if we are looking for the bright side, it did provide a valid and informative answer on the second try. I haven't had that kind of experience on SEO-infested Google search for quite a long time now.
Unless the prosecution can prove that the trades meaningfully moved the market prices, it's probably going to be really hard to use the term "leaking".
I can't shake the feeling that there may be political reasons to not even attempt that angle. What legal precedent would it set if a judge actually ruled on that and the prosecution won? Which entities within the government would be financially inconvenienced?
So in prediction markets I've heard a lot of times people will collaborate in order to make certain predictions pay off higher sums by having more people put money on a certain bet.
Is it true with these markets the more people bet on a specific day and time, the value will increase more, increasing the overall payout? If that is true, I wonder if they're looking at anybody else helping place the bets or a group of people trying to wager a higher amount of money to increase the return?
It's a bit more nuanced than that, because we're not talking about outright market manipulation. Absent any other information, the market makers always assume that they might be trading against a better informed counterparty - so absent any other signal, the prices at which executions happen are themselves a signal.
Think about it: you have N market makers offering both sides of the trade with a spread between them. When there is no other meaningful activity, the best prices are more or less stable. Now someone comes in and buys one side of the trade. Each marker maker will, individually, make the same two decisions:
1. "If you bought at that price, I should raise my price and charge you more"
2. "Since you bought at that price, I must assume you have more information and I should get out the way to avoid an expensive mistake"
The magnitude of the decisions made depends on various factors, but as a short-hand the size of the made trades in respect to the overall liquidity available near the midpoint directs how strongly the market makers react. A tiny trickle of insignificant trades does not move the price in any meaningful way (unless the sizes are so small that the execution commission starts to make a difference). A sustained directional flood of trades will cause the midpoint (and volume) to move to the direction where the market makers can sell at higher prices and avoid accumulating any further losses.
Well yes. Someone has the other side of the bet, and it’s not 1:1 long:short. That’s how folks could hypothetically hire somebody to kill me, by putting $5M on “floam will survive the month” - if I’m not killed conspirators get their money back, with interest. But if I am verifiably dead, whoever knew in advance a hit man will kill me, that man gets paid.
> unless you keep the poisoning attack strictly inaccessible to the public
This is likely impossible. As the in-vogue breed of model extraction methods ("distillation attacks") demonstrates, you can infer the underlying training and/or fine-tuning of a model with a series of carefully constructed prompts.
Another name of model poisoning? Adversarial fine-tuning.
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