That doesn’t change my argument. I’m not saying it won’t happen, I’m saying it’s outweighed for most by other concerns.
You’ve leapt to the most extreme scenario to declare these contracts worthless. Of course something like what you describe could happen. But under the central case, ensuring some privacy (with the ability to seek…
There’s obviously a strong interaction between the hackability of the target and the economic value of hacking the target. Perhaps the latest models change that relationship in a meaningful way.
I’ve seen people recommend writing “failure is an option” into AGENTS.md as a non-training based crutch.
I wouldn’t say the pessimists fall into that category. In my experience they are mostly the subset of engineers who enjoyed coding in and of itself and ——in some cases—— without concern for the end product.
The article doesn’t present any hypotheses regarding this, and I suspect we simply don’t know yet. But if true presumably it’s one of the usual reasons for observing data with low likelihood according to a model:…
I’m unsure exactly in what way you believe it has gone “down the hill” so this isn’t aimed at you specifically but more a general pattern I see. That pattern is people complaining that a particular model has degraded in…
> If you're the type of programmer who thinks of yourself as just a programmer, and take pride in your secure code, ability to optimize functions and algorithms, you're exactly the kind of programmer AI will replace.…
More to the point: is randomness of representation or implementation an inherent issue if the desired semantics of a program are still obeyed? This is not really a point about whether LLMs can currently be used as…
Correct… reading code is a much more difficult and ultimately, productive, task. I suspect those using the tools in the best way are thinking harder than ever for this reason.
My advice: keep it on a tight leash. In the happy case where I have a good idea of the changes necessary, I will ask it to do small things, step by step, and examine what it does and commit. In the unhappy case where…
I’d go further than the other reply: not only do those first two things definitely exist, they probably represent the plurality of programming tasks.
The most obvious difference (and one worth much more than $10 to me) is that one is native and the other is not.
I am also constantly astonished. That said, observing attempts by skeptics to “unsuccessfully” prompt an LLM have been illuminating. My reaction is usually either: - I would never have asked that kind of question in the…
Perhaps you could fill in a few of the details for us?
I agree. In my view many of these small regions (that blend into one another) could be combined to give a much more useful map with more sharply distinct accents. Such a map may be less precise, but far more useful to…
In the U.K. I remember it being a novelty flavour for a brief period in the 90s. I’ve not seen or heard of the idea since then, although this may reflect my own consumer preferences.
I did raise an eyebrow at it too, but I doubt his contribution was entirely “management of resources”. I think one must also give him the credit for the vision, risk taking and drive to apply the resources at his…
I think this illustrates the biggest failure mode when people start using LLMs: asking it to do too much in one step. It’s a very useful tool, not magic.
And I would go further… these “common tasks” cover 80% of the work in even the most demanding engineering or research positions.
I use a Google mesh network and get the same issue, which I assume is related to it using 8.8.8.8 by default.
There is a third option where he stayed, they managed to find a compromise, and in so doing kept their influence in the space to a large extent.
You can ask ChatGPT to solve maths problems which are not in its training data, and it will answer an astonishing amount of them correctly. The fact that we have trained it on examples of human-produced maths texts…
If you are building something that is end-user facing that relies on ChatGPT then that was always a huge and risky bet on the future of OpenAI. In addition, it would likely be some time, possibly years, before it would…
An alternative idea to the regulatory moat thesis is that it serves Big Tech’s interests to have people think it is dangerous because then surely it must also be incredibly valuable (and hence lead to high Big Tech…
That doesn’t change my argument. I’m not saying it won’t happen, I’m saying it’s outweighed for most by other concerns.
You’ve leapt to the most extreme scenario to declare these contracts worthless. Of course something like what you describe could happen. But under the central case, ensuring some privacy (with the ability to seek…
There’s obviously a strong interaction between the hackability of the target and the economic value of hacking the target. Perhaps the latest models change that relationship in a meaningful way.
I’ve seen people recommend writing “failure is an option” into AGENTS.md as a non-training based crutch.
I wouldn’t say the pessimists fall into that category. In my experience they are mostly the subset of engineers who enjoyed coding in and of itself and ——in some cases—— without concern for the end product.
The article doesn’t present any hypotheses regarding this, and I suspect we simply don’t know yet. But if true presumably it’s one of the usual reasons for observing data with low likelihood according to a model:…
I’m unsure exactly in what way you believe it has gone “down the hill” so this isn’t aimed at you specifically but more a general pattern I see. That pattern is people complaining that a particular model has degraded in…
> If you're the type of programmer who thinks of yourself as just a programmer, and take pride in your secure code, ability to optimize functions and algorithms, you're exactly the kind of programmer AI will replace.…
More to the point: is randomness of representation or implementation an inherent issue if the desired semantics of a program are still obeyed? This is not really a point about whether LLMs can currently be used as…
Correct… reading code is a much more difficult and ultimately, productive, task. I suspect those using the tools in the best way are thinking harder than ever for this reason.
My advice: keep it on a tight leash. In the happy case where I have a good idea of the changes necessary, I will ask it to do small things, step by step, and examine what it does and commit. In the unhappy case where…
I’d go further than the other reply: not only do those first two things definitely exist, they probably represent the plurality of programming tasks.
The most obvious difference (and one worth much more than $10 to me) is that one is native and the other is not.
I am also constantly astonished. That said, observing attempts by skeptics to “unsuccessfully” prompt an LLM have been illuminating. My reaction is usually either: - I would never have asked that kind of question in the…
Perhaps you could fill in a few of the details for us?
I agree. In my view many of these small regions (that blend into one another) could be combined to give a much more useful map with more sharply distinct accents. Such a map may be less precise, but far more useful to…
In the U.K. I remember it being a novelty flavour for a brief period in the 90s. I’ve not seen or heard of the idea since then, although this may reflect my own consumer preferences.
I did raise an eyebrow at it too, but I doubt his contribution was entirely “management of resources”. I think one must also give him the credit for the vision, risk taking and drive to apply the resources at his…
I think this illustrates the biggest failure mode when people start using LLMs: asking it to do too much in one step. It’s a very useful tool, not magic.
And I would go further… these “common tasks” cover 80% of the work in even the most demanding engineering or research positions.
I use a Google mesh network and get the same issue, which I assume is related to it using 8.8.8.8 by default.
There is a third option where he stayed, they managed to find a compromise, and in so doing kept their influence in the space to a large extent.
You can ask ChatGPT to solve maths problems which are not in its training data, and it will answer an astonishing amount of them correctly. The fact that we have trained it on examples of human-produced maths texts…
If you are building something that is end-user facing that relies on ChatGPT then that was always a huge and risky bet on the future of OpenAI. In addition, it would likely be some time, possibly years, before it would…
An alternative idea to the regulatory moat thesis is that it serves Big Tech’s interests to have people think it is dangerous because then surely it must also be incredibly valuable (and hence lead to high Big Tech…