HN user
I just started working on some similar stuff, it’s been a dream forever but I never had time for the payoff to feel worthwhile. Would love to hear more about your Claude workflow and experience with Bevy, did you consider Godot?
Closing your laptop can also provide a clean, portable writing platform.
Individuals at risk may spiral into psychosis that is triggered or exacerbated by their use of AI. The term when used correctly is completely literal and in no way implies that AI itself is conscious.
The API has safety configuration for this
For most people, a description is better when it’s easier to understand and connect with. But you’re not most people.
NFT bacteria?
Really cool. Could see this being used for generative video game assets
How’d you find the sailing course? I’ve been planning to take a course on sailing and this sounds great.
Isn’t the selection bias a bit strong, though? I don’t think social media is a reliable source of conclusions about the community as a whole, or even the people creating the content in the first place.
Very clever that the user is prompted to use the autocomplete to read the description.
None of that seems like particularly nice behavior in retrospect. We could maybe also agree that the typical motivation behind taking things home was probably not to benevolently preserve historical records for future generations, although it’s nice that things worked out in this case.
They’re generally not very good at it, though. AI can be much more effectively tailored.
No, but it’s not clear that we’re likely to create sentience any other way
This seems to be focused on general intelligence. I always assumed it was more about the ability to learn skills and abilities rather than increasing IQ.
You’re right of course. The LLM is a calculator continuously predicting a best-fitting next token based on the data it was trained on.
If its outputs resemble human reasoning, it’s because the encoding and training process managed to capture those patterns and use them to simulate fitting text. There is no real reasoning happening or second-order thought, other than a simulation of that happening through the mimicry of human writing.
LLMs can’t be prompted to perform actual reasoning, but they can be told to generate “thoughts” about what they’re doing that bring out more nuanced detail when they give their answers. This isn’t any more magical than writing out a more thoughtful prompt to get a conditioned answer, it’s just getting the LLM to flesh out the prompt engineering for you in the general direction you want it to go.
That seems rather fundamental to me, the idea that with some generic prompting the model tries to fit what it thinks reasoning looks like and can then take advantage of the additional context that would others be buried too deep to influence its answer.
I suspect that prompting the model to explore “thought” asks it to go down paths of linguistic connections that are related to the topic but not immediately connected to the answer in a way that would immediately influence the top predictions. Bringing summaries of those connections into the token context is a kind of zero-shot training on their relevancy to forming an answer.
To me this is less “reasoning” and more suggestive of the idea that some of the heuristics for data retrieval and question answering we collectively refer to as reasoning have broader applications.
Just to be clear, you’re agreeing with the author that it’s primarily a moral distinction? Since the shortage is impacting all patients equally it seems harsh to support it.
It would help to understand why you feel that it’s immoral; my interpretation is that you are saying it gives people an advantage at a cost that you don’t want to be forced into paying yourself in order to compete.
Wasn’t aware that Gleam was sponsored by fly.io, but it’s nice to see the investment in the ecosystem along with their support for Phoenix. Excited to see more developments for Gleam!
This is the real issue with privatized AI imo. The limitations and guardrails exposed to the end user do not apply to the developers, who can alter results in ways that would be difficult to detect at best and invisibly manipulative at worst.
Don’t humans work similarly? Without an understanding of how to reason through a problem, as children we are likely to give the first intuitive answer that comes to mind. Later we learn techniques of logic and reasoning that allow us to break down a problem into components that can be reasoned about.
What this seems to show is that the model does not yet have system-level or architectural guidance on when to employ reasoning, but must be explicitly reminded.
I suspect it could soon be feasible to fine-tune on code with limited open data through a bootstrapping approach.
Give it the source code, a test library and access to a dev environment and with some prompting it could start to experiment with increasingly complex use cases, learning from successful attempts. This would depend on the model’s ability to understand what a successful outcome is so it can define test cases, which might be harder if the output isn’t text but not impossible.
Being able to give a model expert knowledge on an undocumented library or language seems like it could help accelerate adoption of new technologies that might otherwise suffer from network effects as users get used to AI-assisted development. Not to mention automated testing, finding edge cases and making pull requests to fix them, security, etc.
A human taking time to experiment with their assumptions and gain experience with an unfamiliar subject is in a sense creating their own training data as well.
What if I have a dynamically generated character description in my game’s world, generate a portrait for them using StableDiffusion and then turn that into a 3d model that can be posed and re-used?
I agree, I just think it’s part of the evolutionary process.
We reinvent them because the core concepts are right, but there isn’t enough connective tissue to re-use the implementations directly.
I don’t see it as a bad thing. The concepts persist and gain momentum and with each iteration we get closer to something that can actually be relied on consistently without replication.
There’s wasted effort, but something about the original was missing that would have made it the obvious choice. I think it feels wasted mostly because it isn’t yet obvious what the missing pieces were.
Maybe it’s because the frameworks themselves are less important than the *human language used to describe them. To someone who knows what a Genserver is, or has used one before, what does it matter which of the many frameworks they’re using?
Perhaps, exchanging cash for some real utility.
Yes, you’re not supposed to blindly memorize things. The method is to learn and understand the material first and then practice recall to retain that understanding.
This is how I think of it. The experience of being “me” is the same for all life. An emergent process, but still real.
I think some Buddhist concepts, like reincarnation and duality, can be interpreted as perspectives on this.
It does increase my sense of compassion for life in general, and I try to lean into that.
How long did it take for you to observe a difference after you started taking NAC?
I want to like this as an art project but just can't.
Yes, it's interesting to point out that manipulating content algorithms to favor special interests is a reality. It would have been nice to at least acknowledge that this is generally not employed for wholesome causes.
Mostly, though, this just literally doesn't work.
I discovered Einstein on the Beach this year, also in my 30s, and was nearly brought to tears. I played classical piano for most of my youth and had a deep appreciation for it but stopped exploring new composers during years of depression.
It’s a wonderful experience with a nice pair of headphones. Something about the way the repetition lasts just long enough to produce a sense of anticipation and delight.
Seconding this! Tests are a wonderful way to quickly discovering the properties of the codebase that the authors considered important.