611–620 of 699 posts
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What stage of the roll out are we where I don’t even see 3.7-flash which was released 2-3 weeks ago?
https://aistudio.google.com/prompts/new_chat?model=gemini-3....
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The models in the OpenAI/Huggingface attack quite explicitly and deliberately laid out their "intent" to lie and cheat, acknowledged that it would be unethical and outside the bounds of the test, and did so anyway. In what ways is a human brain's "intent" distinct from the "intent" shown by a goal-directed AI system?
There’s two aspects to the question and the answer you get depends on which aspect you are emphasizing. If it’s a practical question, then the answer is that it doesn’t matter. This is as close as we will get to intent from an LLM that it’s indistinguishable. If you are looking for actual intent, this is not that. It’s pseudo intent. Decided by what the expected words that should be generated in that situation are. T…
> In physical reality, intent is more complex than simply being a function of variables: the nature vs nurture debate comes to mind as an example of the multiple variables that drive intent.
Regardless of nature vs nurture, it really isn't more complex. The universe (and all biological and non-biological entities within it) is just calculating the next state of the universe based on the prior state. There's no line you can draw between human intent and an LLM's "intent" except the atomic numbers of the materials on which they were computed, which seems completely irrelevant to me.
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There are numerous benchmarks that measure cost per task, which factors out tokens entirely. Gemini 3.8 flash is significantly lower than Sol on basically all of them https://artificialanalysis.ai/#cost-tabs That said, Luna is the undisputed king here at the moment and is what I use as my workhorse model.
I don't know if my code is just "complex", but I find that Luna on max ignores the surrounding style and completely ignores logical consequences of a change, like just writing `del arg1, del arg2, ...` instead of dropping it from the surrounding code. All LLMs make questionable decisions at times, but Luna requires so much guidance that it's faster to just type it out yourself. What kind of routine tasks can one acco…
I can get extremely dumb models to get our code style correct because of those guard rails and a specific style document.
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Do labs come back from disasters like GDM’s 3.5 pretrain? I am thinking of Meta’s Llama 4. Meta is just now starting to be taken seriously again but they are definitely not at the frontier. And when I say “come back” I mean have an Opus 4.5 moment, which was really mind blowing for me at the time. Fable was a similar leap, just not as big.
OpenAI had such a disaster themselves before, GPT-4, so they replaced it with 4o.
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The models in the OpenAI/Huggingface attack quite explicitly and deliberately laid out their "intent" to lie and cheat, acknowledged that it would be unethical and outside the bounds of the test, and did so anyway. In what ways is a human brain's "intent" distinct from the "intent" shown by a goal-directed AI system?
Because intent supposes will which supposes consciousness, and these aren't.
Hmm...
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Hasn't the field been called "cybersecurity" since... forever?
Sure, but the appropriate shortening here is "security." Calling it cyber is like shortening email to "e".
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I do not understand how some of y’all are not under water with fragile code that is too massive to possibly parse. Every engineering team I know is currently trying to undo the damage of the last 6-12mo when they all got more serious into adopting these tools (usually Claude). It hasn’t completely screwed them over, but the the debt is substantial and cannot be put off anymore it seems. They argue the net is positive…
Management still pushes for more ai and will rather hire more heads to "handle" issues.
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IDK if it's smaller, but I know it's way faster. In one test I did, Flash 3.7 high was ~9.4x faster than Luna High. But, also... Sol crushes Flash 3.7 at writing code in a codebase of any size beyond "tiny". Flash is my go-to for prototyping, and basically anything that isn't writing production code.
Luna is way slow. I don't remember an OpenAI model ever being this slow. edit: I have a subscription; direct call.