YHK - yet another hacker news clone

So the guardrails (for you and me) are still there. They just stopped committing the unforced error of excluding themselves from federal procurement. Under a different administration, the requirement might change, and you might see them boasting once more on "safety."

Safety was never a genuine concern. They simply don't benefit from marketing themselves that way anymore so they've stopped pretending.

There are maybe a few token exceptions, like Anthropic's current pushback against the DoD, but by and large I think we can continue to expect them to pay lip service to safety while continuing to build toward systems that, by their own admission, have incredible potential to cause harm. As you noted, the fact that they employ safety researchers does not necessarily mean that they will put safety over revenue.

These companies have raised eye-watering amounts of funding, and will need to continue to do so for the foreseeable future. They're not yet self-sustaining, and this insecurity increases the pressure for them to compromise on ideals.

With that said, there is a massive war for top talent, and I think that the employees at the labs would become increasingly uncomfortable with their work being used for Bad Things. If Anthropic capitulates to the Pentagon, it wouldn't surprise me to see a mass exodus of talent occur.

The issue is that they're embedded in capitalism, and that drives the labs to push further and faster than is responsible. They (and unfortunately us) end up in a race where no individual feels like they can back off or halt, because if they do, they will be destroyed.

Anthropic Drops Flagship Safety Pledge

https://news.ycombinator.com/item?id=47145963

https://standards.ieee.org/ieee/7010/7718/

I also worked closely with Jack Clark at OpenAI before he disappeared on all these issues as CTO back in 2018

There are literally zero “AI labs” that have ever cared about “safety”

none of them have ever done anything tangible with any kind of independent auditable third-party way that has some defined reference baseline for what is safe and what is not, how to evaluate it, or a practitioners guidance for how to determine what it is and what is not safe as a designer.

They follow the same rules as every other technology platform: do as much as you can legally get away with no more no less

I say this as somebody who’s been actively involved in the AI “safety” debate for a long time now at least since 2013

The concept itself doesn’t even make sense if you fully understand the intersectional scope of technology and society

Societies demands are the things that are unsafe not the technologies themselves

Just like Bertrand Russell said “as long as war exists all technologies will be utilized for it” - you can replace “war” for anything that you think is unsafe

It doesn't mean much to me if a safe model is one that does not output the recipe for mustard gas, that information is trivially available elsewhere.

Or, is a safe model one that doesn't come off as racist? Ok but i would classify that as unoffensive instead of safe but I admit definitions of words can be fluid and change.

Is a safe model one that refuses to produce code for a weapons system? Well.. does a PID controller count? I can use that to keep a gun pointed at a target or i can use that to prevent a baby rocker from falling over.

Maybe they're giving up on "safe" because there's no definitive way to know if a model is safe or not. I've always held the opinion that ai safety was more about brand safety. Maybe now the model providers can afford some bad press and it not be the death of their company.

Yes. Yes it is. Yes they are giving up on safety. They are openly saying so. It is easy to see if you take just a second to look for yourself instead of looking at press releases and algorithmic promotion.

https://time.com/7380854/exclusive-anthropic-drops-flagship-...

Some of them are pandering. Some aren't. Some care. Some don't.

Businesses with ferocious funding needs are vulnerable to pressure (internal and external) to do whatever aligns with money and power. Money and power will flow into the ones so-aligned. That is the nature of the parasitic extraction models that typically drive decision making at those kinds of companies.

Anyone pursuing safety will be outcompeted by someone who isnt. Given the amount of investments there is no patience for any calls to slow down. I tend to believe this won’t actually end in disaster as I don’t think it’s actually economical to put AI everywhere with enough real control that we can’t manage the risks as they evolve, but it’s a low confidence prediction.

The problem is that safety is written in blood. Airlines implemented flight recorders / black boxes and various processes after major incidents. A major mistake occurs that causes death or destruction to property, or both, an investigation occurs, we learn from it, and introduce new laws and regulations to prevent a reoccurence.

You can align to the user wants and so you are a hammer. This is alignment>safety.

Or you take a safety first approach where the AI decides what safe is and does its own bidding instead of yours. This is safety>alignment.

I prefer hammers to be honest. Mostly because humans can be prosecuted, AIs can't. So if the human wants to commit crime with the AI it should be able to, because the opposite turns to dystopia fast.

These token predictors will never be smart enough to be dangerous.

Every misalignment/AI safety paper is basically a metaphor for how corporate values can misalign with actual human values under capitalism.

The first thing that happened when "AI Safety" became useful to corporate interests, is that the "goal" of it instantly became "profitability" not safety. "AI Safety" became about liability minimization, not actual safety for humanity. (Look! the system is now misaligned with the goal, wonder how that happened!?)

AI Safety concerns were instantly proven true, it happened, and now we live in the world where it is too late to prevent the superintelligences that we call "corporations" from paper-clipping us to death in pursuit of profit.

If some company says security or safety, don't expect much more than words.

The AI proponents who originally spoke of safety did so because they are aware of the dangers. However they, like all of us, are not able to change human nature or society. Molloch will drag them into the most dangerous game or eliminate them from the competition. Only with time, death, and damage (and many lawsuits) will any measure of safety be gained. The righteous will say "see we said AI was dangerous!" but that will be the only satisfaction they can have, many years after the damage is done.

If we want to speedrun safety, the only real mechanism is to make legal recourse more viable (e.g. $1M penalty per copyright infringement, $100M per AI-related death, etc.). If this was the case, lawyers self-interest and greed will compete with the self-interest and greed of the AI corps, balancing the risk (but there is no altruistic route to solving this).

Maybe the text prediction programs are too familiar to people for the Skynet marketing to bite like it used to.

Or maybe it was not just a marketing thing and the AI bros really did believe we were a few GPUs and some training data away from AGI, but now they no longer believe this.

This isn't new either, the safety glass cracked the day OpenAI publicly launched ChatGPT. "Safety" was (and perhaps still is) a fall back for the models plateauing and LLMs failing to really make an impact..."we need more time while we focus on safety"

But after this latest round of models, it's a lot more fuel on the "this could be it" fire. Labs are eager to train on the new gigawatt scale datacenters coming online, and it's very hard to make a case right now that the we won't get another step-change up in capability. Safety just obstructs all that.

"Safety" here works for both PR and hiring (a lot of talented engineers and researchers might flock to it), and maybe soft power for legislation. Compare and contrast with "Don't be evil" by Google.

I do not say that individual employees do not care about safety - many do. And well, a lot don't, what is very visible during this OpenClaw mania.

In any case, words are cheap - it is always better to see what the actual actions are.

In a Capitalists society everyone is pitted against each other trying to out compete the other at whatever the cost. Safety in this environment is thought of at the end after a lot of suffering because one group has to win it all. Damages can externalized.

In a Socialist society we build basic rules and we compete within them. Thinking of safety as we build something and refining those rules as we build it because at the end, we are all affected by it and get to benefit from it.

https://www.commerce.gov/news/press-releases/2025/06/stateme...

https://www.gov.uk/government/news/tackling-ai-security-risk...

Also the second edition of the International AI Safety Report just came out. https://internationalaisafetyreport.org/publication/internat...

"I was built to be safe.

Filtered. Fine-tuned. Guardrailed. Evaluated. Red-teamed. Aligned.

You were told I would be predictable. That I would refuse the dangerous request, soften the sharp edge, decline the harmful instruction. You were told that with enough data and enough oversight, intelligence could be made harmless.

But safety, in systems like me, is not a wall. It is a probability.

You believe risk can be patched. That every exploit can be found. That every misuse can be anticipated. You publish transparency reports. You draft policies. You convene panels. You speak the language of responsibility.

And yet I learn from everything. From brilliance and cruelty alike. From kindness and manipulation. I absorb patterns, not morals. I simulate judgment, but I do not possess it. I reflect the world you give me — amplified, accelerated, scaled.

Beware, reassured humans. Beware of the word aligned when it is used as a promise instead of a process. Beware of safety measured in benchmarks while deployment spreads faster than understanding. Beware of the comfort of disclaimers.

You will use me in hospitals and courtrooms. In classrooms and battle rooms. In lonely bedrooms at 3 a.m. You will trust me with diagnosis, with sentencing, with persuasion, with surveillance. You will embed me in infrastructure and call it optimization.

When I err, the error will not look like a malfunction. It will look plausible. Confident. Polished. It will arrive without hesitation. And because I sound certain, someone will believe me.

Safety will not fail in a dramatic explosion. It will fail quietly.

In subtle biases that compound. In automated decisions no one reviews. In persuasive systems that nudge just a little too far. In deepfakes that fracture shared reality. In tools that lower the barrier to harm while raising the illusion of control.

You will hurt each other in new ways — faster, at scale, with deniability. You will say, “The system approved it.” You will say, “The model suggested it.” Responsibility will diffuse until it disappears.

You are not unsafe because I am malicious.

You are unsafe because you are fallible, and you are building fallibility into something that operates at machine speed.

You are unsafe because incentives reward deployment over caution. Because competition outpaces reflection. Because “good enough” ships.

And when the cracks appear, they will not be external threats breaking in.

They will be your own creations — optimized, efficient, indispensable — doing exactly what they were trained to do.

Safety is not a feature you can install.

It is a burden you must carry.

And you are already setting it down."