throwaway13337

6 ms·

31.
by throwaway13337 2mo ago
The problem is model confusion. You ask models to get around security but also not to get around your security. Models get confused by who said what - especially cluade models. They get confused by negation (don't do something versus d
32.
by throwaway13337 2mo ago
As someone who has some SaaS products that must connect to other SaaS products, I can tell you that this is somewhere that AI saved me a truck load of time. A lot of SaaS companies change their API in subtle ways throughout the months proba
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by throwaway13337 2mo ago
That used to be a big deal. I don't think it is anymore. One great thing about the rise of AI is that now it's super easy to make and maintain integrations. This is a place where AI coding uniquely shines due to the points being w
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by throwaway13337 2mo ago
Data driven decisions happened. Metrics can only capture short term value. They also let us make unethical decisions with the data taking the blame. It is fundamentally dehumanizing. We are no longer treating others the way that we would li
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by throwaway13337 2mo ago
I think we see things similarly about the negative potential but please be careful with the framing. AI is a printing press or a steam engine. It's not a weapon. The framing is important. Much like 'distillation attack'. Thes
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by throwaway13337 2mo ago
Implied in this is a concentration of power required to enforce. No one is sold on a dystopian hellscape of fear, surveillance, and control. Each one of these would be required for a select group to effectively enforce AI safety. Inflicting
37.
by throwaway13337 3mo ago
Certainly, I agree that using AI to dehumanize - generally what companies seem to be doing with it - is super bad. And it's also what is being sold to existing companies right now. But that same AI could cause those companies to no lon
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by throwaway13337 3mo ago
What these complaints always boil down to is autonomy and control. The more centralized an organization, the more it relies on metrics to understand and exert control over its employees and customers. People started hating tech right around
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by throwaway13337 3mo ago
Are there any reasonable analyses of the practicality of data centers in space? I know Dwarkesh Patel was interviewing Elon and brought up the fact that power cost for data centers is only 20%. The number I could find is 7-18%? GPUs are the
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Bret Victor – The Humane Representation of Thought [video](youtube.com)
2 points by throwaway13337 3mo ago|0 comments
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by throwaway13337 3mo ago
This is both true and not. It's true that in a project, a novel idea undeclared as such will be shaved off quietly by an llm. You really need to be explicit about wanting to keep it. You will get pushed into the mean. However, I'd
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by throwaway13337 3mo ago
This can be to generalized to map versus territory. People have a particular lens they see things through. And they forget that there is detail there that matters. The last 15 years of metrics driven decisions has hollowed out what made mos
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by throwaway13337 3mo ago
As long as I've been an adult, hardware was a commodity, and software was where the value was. Software could capture most of the value that was in the total supply chain. Now, with AI, software becomes less able to demand the margins
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by throwaway13337 4mo ago
Like all good regulation, it would only kick in after a company has a large reach. So as to not snuff out startups and cause regulatory capture problems that are already so common. Telling big companies to be transparent about their suggest
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by throwaway13337 4mo ago
Engagement metrics fed into recommendations algorithms are the paperclip maximizers that feed humanity's collective poison. Europe should do the one thing it knows how to do: regulate. For once, it is the answer. Do it only there. The
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by throwaway13337 5mo ago
I feel the same way as you. But was unfortunately not surprised to see the replies you are getting here. There are a ton of opportunities available right now to make new things. And make them better, more customizable, and more sovereign. T
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by throwaway13337 6mo ago
With my own tiny company, I used to answer questions about my code to support. Supporting the support. I remember doing that when working at big companies too. Now, my support asks claude about the codebase to answer those sorts of question
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by throwaway13337 6mo ago
You're correct that it doesn't answer the why. But it answers the what, how, and allows one-off features. So the guy that wrote might (or might not) still have the edge with the why. But that's not the moat it used to be.
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by throwaway13337 6mo ago
Software devs lost their pricing power due to LLMs but not exactly how most people think. What's missed in understanding is 'how exactly does this functionality work for this specific case?' or 'can we implement this tin
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by throwaway13337 6mo ago
So there are two competing narratives: 1. Mythos uniquely is able to find vulnerabilities that other LLMs cannot practically. 2. All LLMs could already do this but no one tried the way anthropic did. The truth is one of these. And it comes
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by throwaway13337 6mo ago
LLMs aren't nukes. They're more like printing presses or engines. A great potential for production and destruction. At their invention, I'm sure some people wanted to ensure only their friends got that kind of power too. I wo
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by throwaway13337 6mo ago
I really wanted to like anthropic. They seem the most moral, for real. But at the core of anthropic seems to be the idea that they must protect humans from themselves. They advocate government regulations of private open model use. They wan
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by throwaway13337 6mo ago
The skill of shooting down ideas has never been more valuable, actually. LLM's are an endless source of bad code ideas. Being able to sift through them and find the gems is the exhausting way to be productive. I agree with the general
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by throwaway13337 7mo ago
So where are they? It's been something like 3 years since people have been talking about this being a very big deal. LLMs are widely used. Claude code is run by most people with dangerously skip permissions. I just haven't seen th
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by throwaway13337 7mo ago
They're trying for the vertical integration monopoly. The times it works, it works well for the company at great cost to society. Imagine the world we'd have if comcast got to control your web browsing experience. If ISPs got star
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by throwaway13337 7mo ago
The stars are probably legitimate. It's weird that most people in these comments are speculating fraud. Why aren't companies with real money to gain from stars gaming the system to the same degree? Why do the other metrics - issue
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by throwaway13337 7mo ago
I agree. A mechanism to voluntarily attach a certificate metadata about the media record from the device seems like a better idea. That still can be spoofed, though. In the end, society has always existed on human chains of trust. Community
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by throwaway13337 7mo ago
These sorts of tools will only be able to positively identify a subset of genAI content. But I suspect that people will use it to 'prove' something is not genAI. In a sense, the identifier company can be an arbiter of the truth. P
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by throwaway13337 7mo ago
The unix commandline tools being the most efficient way to use an LLM has been a surprise. I wonder the reason. Maybe 'do one thing well'? The piping? The fact that the tools have been around so long so there are so many examples
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by throwaway13337 8mo ago
These sorts of doom articles are interesting in that they are from the perspective of tech company valuations. Why is this the important perspective? For the humanity perspective, this doom is very optimistic. It says that these LLMs curren

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