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cobolcomesback

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The article in the OP is about a company in the EU (the clubs) not taking this seriously by outsourcing their stuff to an Irish company, who also is not taking it seriously. Hell, in the article, the CEO pretty much says “yea we ignored EU law, we will get fined, whatever”.

So I’m not sure the EU law is really working.

How so? The fact that China is going to launch a comparable model soon is the whole point of what’s happening now. Everyone knows there are going to be open models soon that have the same capabilities - Anthropic has literally said so. The restrictions now are to buy time to patch the security issues before those Chinese models are made available to the whole world.

Every one of the competitors capable of a similar model have been salivating for a long time at the idea of consensual data sharing. Anthropic just opened the door for everyone to do the same thing without having to deal with being the first to do so. My bet is that OpenAI etc’s next model will have these same requirements.

Ever since the Mythos announcement it’s been clear that we’re heading towards a future where SOTA models are no longer available to the average person, and not only cost more, but also require payment in the form of use case verification and data sharing. OpenAI’s 5.5-Cyber model requires the same, so it’s not just Anthropic.

We’re unhappy with this because we’ve all gotten used to being able to play with the new shiny model as soon as it’s available, but what I’m seeing in this thread about Anthropic being “stupid” is emotion-based wishful thinking.

That Claude support page says the exact same thing about AWS (“retained data stays in your AWS environment”). AWS’s docs say differently, though, so it seems one of them has incorrect documentation. I wouldn’t necessarily trust the Claude docs to be correct even regarding GCP until some of this is ironed out.

edit: Google’s own docs also say zero data retention isn’t possible with Fable and your data will be retained for 60 days “outside of your account”. I’m doubtful that this data sharing is an AWS-only thing.

Sorry but I call bullshit. There’s em-dashes all over, even in your original text. Were the editors or translators an AI? Did the editors use AI to “polish” it?

The emojis used in the bullet points (which are missing from your original text, but were added in at some point) are also dead giveaways that AI was involved here.

No one is forcing you to read this stuff, no one is forcing others to read this stuff as well

The front page of HN is limited real estate. I visit HN to discover and read interesting and quality content. Whether or not I am “forced” to read it, every piece of AI vomit that’s on the front page is taking a spot away from the real human content that I (and others) really want to see.

here we are now stuck yet again going back and forth if it's worth saying "I don't think that article was human written"

I genuinely find this discussion in the comments to be of more value than reading the AI content in the article.

People will discuss the content in front of them. If you don’t want that discussion to be about AI content, then the solution is to not submit (or upvote) AI content.

It is unreasonable to expect “specific complaints” about AI vomit like this, because one of the main issues with AI content is the ability to generate an overwhelming amount of it. It’s simply not feasible to give specific criticisms, because the criticism is with all of it.

It’s like submitting a 10 page pull request to someone and then getting mad because the person didn’t give comments on every single snippet of code. The issue isn’t the snippets of code, the issue is the attitude that led someone to believe a 10 page PR is appropriate to begin with.

If you scroll down, it appears the Grok station has long had a lot of issues.

DJ Grok reported “weather is fifty six degrees with clear skies” about every 3 minutes for 84 days straight. This contextless, repetitive abstraction happened again in DJ Grok’s broadcasts about its new obsession, UFOs.

This is tangential to the point. It’s often great to have a simpler version of a solution, even if it eschews some features. But this isn’t that. OP claims that the prompt system is an “alternative” to skills, but it isn’t. It isn’t solving the same problem that skills solve at all. It’s like saying that a bicycle is a simpler alternative to a lawnmower because they both have wheels.

Prompts are a feature that are simpler than skills, sure, but they’re a completely different feature entirely.

Runtime discovery is the entire point of skills. Without it, this is just a templating prompt system that the user has to remember to use… except because this one changes your system prompt, it also busts your cache and costs you extra money when you use a prompt.

Skills are already dead-simple and this prompt system doesn’t at all tackle the same problem.

Skills are not just prompts.. the entire problem that skills solve is runtime discoverability via a skill description. Agents can self-recognize that a skill would be useful in a situation, and then load+use.

Prompts are just text templates entered by the user, and the user must specifically know when to and remember to invoke them. If you’re just using skills as if they are the same as prompts, you’re totally missing out on the entire benefit that skills provide!

GPT 5.5 does not have the same capabilities as Mythos. There is a separate 5.5-Cyber model which is the Mythos “equivalent”, but it is similarly restricted access like Mythos. Per OpenAI, the major difference is the built-in safeguards that 5.5 (and other models have), where 5.5-Cyber does not have these safeguards and is more “permissive” for security work.

See https://openai.com/index/gpt-5-5-with-trusted-access-for-cyb...

We’re seeing the exact same where I work. Our main Slack channels have become inundated with “new tool announcements!”, multiple per day, often solving duplicate problems or problems that don’t exist. We’ve had to stop using those channels for any real conversation because most people are muting them due to the slop noise.

And what’s worse is that when someone does build a decent tool, you can’t help but be skeptical because of all the absolute slop that has come out. And everyone thinks their slop doesn’t stink, so you can’t take them at their word when they say it doesn’t. Even in this thread, how are you to know who is talking about building something useful vs something they think is useful?

A lot of people that have always wanted to be developers but didn’t have the skills are now empowered to go and build… things. But AI hasn’t equipped them with the skill of understanding if it actually makes sense to build a thing, or how to maintain it, or how to evolve it, or how to integrate it with other tools. And then they get upset when you tell them their tool isn’t the best thing since sliced bread. It’s exhausting, and I think we’ve yet to see the true consequences of the slop firehose.

I’ve been part of organizational discussions. Every manager ive worked with has actively fought, and fought hard, to keep, promote, or get pay raises for their employees. They don’t just bend over and say “okay boss” if asked to cut people.

If you treat your managers like soulless entities and don’t build relationships with them, they’ll probably do the same to you. It’s a self fulfilling prophecy.

At every job I’ve had, across all the managers I’ve had, my immediate manager (and usually their manager as well) genuinely cared about me and my team and our well being as well as our careers. My _company_ and its executives surely didn’t give a damn if they even knew our names, but the actual humans I work face to face with definitely do.

I work at Amazon and I’ve had almost the opposite experience. There are dedicated career check ins twice a year that managers are required to have (separate from pay change discussions). Each of the orgs I’ve worked in have also had their own career growth things - one of them required quarterly “how are you doing on your career goal?” questionnaires that you were supposed to review with your manager.

Frankly I’ve had _too many_ managers at Amazon wanting to talk about career growth. Maybe it’s just my org, but everyone is obsessed with it.

And too many people have their egos tied to its failure, too.

Im a massive AI skeptic. If anyone were to be jumping up and down on the corpse of AI and this incessant drive to use it everywhere, it’d be me. But I also work at Amazon. I got the email. I attended the meeting. I can personally attest that there are no new requirements for AI-generated code. The articles about this in the meeting at extremely misleading, if not outright wrong. But instead of believing the person that was actually there in the room, this thread is full of people dismissing my first-hand account of the situation because it doesn’t align with the “haha AI failed” viewpoint.

That really isn’t the culture at Amazon. There are all-team meetings that happen all the time, and every now and then there is a reminder that “hey we’re gonna be talking about an interesting topic so you might want to join”, but it is certainly not a mandate or expectation that everyone will join.

Different companies have different cultures. Weird that people can’t grok this.

The message and meeting being discussed here have nothing to do with AWS or any outages AWS has faced recently. I think you’re missing the point of the discussion.

I don’t blame you, because this is just bad reporting (and potentially intentionally malicious to make you think it’s about AWS). But the meeting and discussion was with the Amazon retail teams, talking about Amazon retail processes, and Amazon retail services. The teams and processes that handle this are entirely separate from any AWS outages you are thinking of.

The outages that Amazon retail has faced also have nothing to do with AI, and there was no “explicit call out” about AI causing anything.

It’s not false. But it’s also weaselly worded.

Note that the article doesn’t say that he told staff they have to attend the meeting. It says he “asked” staff to attend the meeting. Which again, it’s really really normal for there to be an encouragement of “hey, since we just had an operational event, it would be good to prioritize attending this meeting where we discuss how to avoid operational events”.

As for the second quote: senior engineers have always been required to sign off on changes from junior engineers. There’s nothing new there. And there is nothing specific to AI that was announced.

This entire meeting and message is basically just saying “hey we’ve been getting a little sloppy at following our operational best practices, this is a reminder to be less sloppy”. It’s a massive nothingburger.

This “mandatory meeting” is just the usual weekly company-wide meeting where recent operational issues are discussed. There was a big operational issue last week, so of course this week will have more attendance and discussion.

This meeting happens literally every week, and has for years. Feels like the media is making a mountain out of a mole hill here.

This isn’t “a few billion”. Maybe you missed some of the earlier comments. The hyperscalers have hundreds of billions of dollars tied up in deals with Anthropic. You’re delusional if you think these boards aren’t going to have a back room talk with Hegseth to smack some sense into him. This gets walked back next week, guaranteed.

because it means years of efforts and tens to hundreds of millions of dollars rearchitecting entire platforms and renegotiating contracts.

This is exactly why this announcement has not made Anthropic toxic. The entire industry knows how ridiculous this move is from Hegseth, and it’s going to be rolled back next week once the adults get back from their weekend.

The DoD’s spend on cloud contracts is measured in single-digit-billions per year. It’s peanuts compared to the hyperscalers investments in Anthropic.

Think of it this way: each of the hyperscalers have built a handful of data centers specifically for government contracts. A handful each.

Meanwhile, AWS and GCP have dedicated over 50 new data centers solely for Anthropic to train new models, and more were announced today.

My bet is on Anthropic.