parliament32

It won't, and that's the joke. They will write three bullet points, but their AI will only focus on the first two and hallucinate two more to fill out the document. Your AI will ignore them completely and go off on some unrelated tangent based on the of the earlier hallucinations. Anthropic collects a fee from both of you and is the only real winner here.

Oh crypto is doing fine, no issues there. NFTs however, like all the hype of pictures of monkeys selling for ridiculous amounts of money, that's the implosion I was referring to.

"AI" implies intelligence, which is nowhere to be found. "Text generators" is the best descriptive term.

The US is no different. All the deals seem to make sense until you take a step back and realize it's just a bunch of circular investments. This bubble bursting is going to be orders of magnitude funnier than the NFT/web3 implosion, I can't wait.

https://en.wikipedia.org/wiki/AI_bubble

Is there a link to the actual order anywhere? For us FedRAMP folks, the exact order contents actually matter, rather than a journalistic regurgitation. I was hoping one of the links in the article pointed to a source, but they're all just links back to other WSJ pages.

> a hypothetical scenario where the watch has a publicly reachable IPv4 address

Or one of your other IoT / smart home devices / malware on your PC is doing local network reconnaissance? Connecting this device to a public wifi? Or just a bad neighbour who hijacks your SSID? This smells of "I'm secure because I'm behind a NAT" which conveniently ignores the couple dozen other paths an adversary could take.

It took them this long to move from docker to containerd?

Focus on things you can control. Everything else is like.. good to know, I guess, but ultimately irrelevant. You getting stressed about some conflict abroad isn't going to change the situation, right, so instead of stewing about it why not go work out or something?

This? https://code.claude.com/docs/en/devcontainer

It means MS has to stop using Claude.

Unless you're storing your wireguard keys in your TPM somehow, what stops malware from just copying the keys out and connecting? Are you IP whitelisting every employee's house or what?

AI slop, and marketing slop at that.

Intune and basic CA policies ensure unexportable MDM certificates in the TPM are used for all authentication events. This is like day 1 Entra ID / Intune stuff. Not sure why you'd need an external vendor for any of this (especially a vendor more expensive than the above).

Because this means you can't use it in regulated industries, including vendors of companies in regulated industries. It means any company who buys Anthropic products can never sell services to a company who is in a regulated industry (or has customers in a regulated industry, or has customers who have customers who are in a regulated industry, etc etc).

Well of course it'll eventually work, just a random text generator will eventually produce code that passes your tests if you run it hard enough.

The problem is it's devouring your tokens as it does so. While you're on a subsidized plan that seems like a non-issue, but once the providers start charging you actual costs for usage.. yeah, the hallucinations will be a showstopper for you.

Probably. According to the paper, 83.82% of automated commits were already made by algorithmic tools (non-LLM). For the remainder, a three-phase LLM approach was tried, and achieved a success rate of 30%. Based on these numbers, it probably would have been faster, cheaper, and more efficient to just enhance their current strategy rather than screwing around with text generators.

If you're not seeing the hallucinations, I'd assert you're either not using it enough, or (more likely) you don't have enough knowledge in the subject matter to notice when it's hallucinating.

When I look at LLMs as an interface, I'm reminded of back when speech-to-text first became mainstream. So many promises about how this is the interface for how we'll talk to computers forevermore.

Here we are a few decades later, and we don't see business units using Word's built-in dictation feature to write documents, right? Funny how that tech seems to have barely improved in all that time. And, despite dictation being far faster than typing, it's not used all that often because.. the error rate is still too high for it to be useful, because errors in speech-to-text are fundamentally an unsolvable problem (you can only get so far with background noise filtering and accounting for accents etc).

I see the parallel in how LLM hallucinations are fundamentally an unsolvable component of transformers-based models, and I suspect LLM usage in 20 years will be around the level of speech-to-text today: ubiquitously in the background, you use it here and there to set a timer or talk to a device, but ultimately not useful for any serious work.

If you could move the taste with the ease of OpenAI's Export Data tool? Sure, why not?

> This is explicitly illegal.

Is it really any different than product placement in TV shows/movies?

But he did design the architecture:

> even though Memory.md has the AWS EC2 instance and instructions well defined

I will second that, despite the endless harping about the usefulness of CC, it's really not good at anything that hasn't been done to death a couple thousand times (in its training set, presumably). It looks great at first blush, but as soon as you start adding business-specific constraints or get into unique problems without prior art, the wheels fall off the thing very quickly and it tries to strongarm you back into common patterns.

You don't have to prove anything? You just have to mark the outputs of your slop generator appropriately. "Proving" one way or another is their problem when it comes to enforcement.

Note that watermarking (yes, including text) is a requirement[1] of the EU AI Act, and goes into effect in August 2026, so I suspect we'll see a lot more work in this space in the near future.

[1] Specifically, "...synthetic audio, image, video or text content, shall ensure that the outputs of the AI system are marked in a machine-readable format and detectable as artificially generated or manipulated", see https://artificialintelligenceact.eu/article/50/

"Near billion users", yet less than 5% pay them a single penny[1]. Like you said, the vast majority of these will never pay anything, but I'd argue the majority will migrate to the "next" free provider as soon as OpenAI starts inserting too many ads into the product.

I watched my partner switch from OAI to DeepSeek during the last outage and she hasn't been back to OAI since. I am skeptical there is any actual stickyness when basically all of the chatbots do the same thing for the casual user.

[1] https://www.theregister.com/2025/10/15/openais_chatgpt_popul...

You're not wrong, but isn't "consumption" the entire point of every vacation ever? Do you do anything other than consume when you, say, go for a cruise? Road trip across the country? Go be a tourist in a city abroad? What could you possibly get out of a vacation other than "consuming"?

This has always been the case, for pretty much everything. There's a reason the world's infrastructure runs on FOSS.

I, too, can make $280B in revenue by 2030 (by selling $10 bills for $5 (as long as I bamboozle enough investors into giving me sufficient capital, of course)).

In my head, the old CS "counter-terrorist win" soundbyte plays every time.

Note the "also" in the first sentence. I'm understanding the timeline as them trying normal exfiltration, getting caught by DLP, then moving on to the cell phone method. But the first catch was enough to trigger an investigation.

Does that actually matter? If "catching up" means "a few months behind" at worst for.. free?

Every time I've tried to use agentic coding tools it's failed so hard I'm convinced the entire concept is a bamboozle to get customers to spend more tokens.