MichaelMoser123

Good luck. I once knew how to fix shift/reduce reduce/reduce errors, but that was a long time ago. With recursive descent parser you need to check for left recursion, which is somewhat less tricky.

Thanks! Curious detail: no "What books are you reading now?" between 2019 and 2023. Were people too busy during the pandemic?

the default writing style of 'Google AI mode' is less tiresome than that of Claude or ChatGPT. I wonder if the difference is due to training or due to prompting.

I like his still of prompt creation "Give me a list of styles to choose from" then choosing one of the available options. SKILL.md files seem to be built upon assumptions of what the language model already knows and understands. Can it be that most skills are therefore tied to a particular LLM vendor/version combination ? The same prompt might be interpreted completely differently by a slightly different language model.

Here the author is asking the machine about what it knows, so there is less of an element of doubt.

"""OpenAI called the model a "generational leap" for areas such as cybersecurity, professional work, software engineering, and science, with the company's president Greg Brockman saying that it could eventually be seen as the arrival of artificial general intelligence"""

https://en.wikipedia.org/wiki/GPT-6_Astra

according to Sam Altman from last year, an LLM should 'solve quantum gravity', if it is to count as AGI. Did anything change since then?

https://www.businessinsider.com/sam-altman-openai-david-deut...

We usually see this kind of discussion around weekends. To me it looks a bit like psychological warfare, designed to drive up the mega valuation of some IPO candidates, in other words: to make LLM based systems more valuable by bashing an entire class of workers.

I don't quite believe in the doom scenario: a lot of stuff depends on the correct functioning of software. However language model don't have a complete model of reality, they won't be able to evaluate if a given change is sufficient. Therefore systems based on language models will not be able to provide complete solutions - for some time to come. There will still be quite a bit of work in software development.

It didn't come up with a counterexample for the P versus NP problem, I wonder if they just didn't ask about it...

> "Everything is a Remix" is a good watch on youtube that explains this

Not completely. Novelty used to be a major thing, when Humans did it. Another important criteria used to be if that new thing makes sense at all. Here the language model has a problem, as it doesn't have the means to evaluate this criteria.

I think this is a veiled advertisement for Norway. Half of the world is engulfed in wars and terror (half across the road towards Mad Max), however Norway is worrying about the environmental effect of salmon feces on its fjords.

Interesting link, thanks. What about the contradiction between the next two sentences?

“a human may select or arrange AI-generated material in a sufficiently creative way that ‘the resulting work as a whole constitutes an original work of authorship.’”

"copyright would extend to the material the human author contributed but would not extend to the underlying AI-generated content itself."

The linked document is mentioning selection of AI generated images for a comic book as an example. I am not sure that the same line of reasoning would apply to programming.

"in one early case, for instance, the Office found that the selection and arrangement of AI-generated images with human-authored text in a comic book were protectable as a compilation."

i think that AI is adding an enormous amount of politics to just about everything. It is as if we are entering a phase of super-extra politics, as everyone is trying to figure out what should come next.

At some point there will be no one left to review Claude generated code. I think that will be an interesting time, given our reliance on software based systems...

A linked-in post on CS enrollment at universities:

https://www.linkedin.com/posts/eric-pop_has-computer-science...

"In the past two years, the drop was ~20% at UC Berkeley and ~30% at UC Davis, while UC San Diego is the only one still rising."

On the other hand: LeetCode traffic rankings are up, so some people still solve programming problems by hand - or they hope to get a job, by being able to solve them.

https://www.semrush.com/website/leetcode.com/overview/

I think this is a confusing time. It will probably take a while, until things become clearer.

Wasn't Claude supposed to do all the coding by now? Did we have a change of mind or did we run out of tokens?

Wonderful, thanks! These are the Joo Janta 200 Super-Chromatic Peril Sensitive Sunglasses, powered by AI :-)

I suspect that distillation attacks may be slightly exaggerated. Most of the training data used during fine-tuning is now synthetic data. You can't just repeat the same stuff twice, therefore another LLM is writing a text book that is explaining a topic in detail, ideally without any gaps in the material.

Actually here is the full talk on youtube, the quote is at 20:26 https://www.youtube.com/watch?v=t9HmOz8H0qI

I saw a video on Linked-in. It's a talk by Steve Jobs from 1983, where he is anticipating, what an LLM can do now (at 4:03 in the video). https://lnkd.in/p/ddWU7cTp

My thoughts on the subject: What would Aristotle have said? The LLM is simulating Aristotle's response, based on syntactic and pragmatic dependencies between words and phrases taken from his works. Often you will get a sensible answers, but sometimes you won't. It will require some understanding of the larger context to tell the difference, you again need to read some books in order to tell the difference and in order to engage in a meaningful Socratic dialogue. Without human scrutiny you will get wrong results, and you need some real training to handle that.

just recalled: some significant open source projects are being rewritten in Rust, with the help of Claude. I don't know if these efforts will be successful in the long run, but in some way these news headlines may be creating a media dynamic as part of the IPO preparations?

[1] https://news.ycombinator.com/item?id=48870966 pgrust passes 100% of the Postgres regression tests

[2] https://news.ycombinator.com/item?id=48837877 Rewriting Bun in Rust

[3] https://news.ycombinator.com/item?id=48789325 My AI-built PHP engine in Rust passes 17% of PHP-src tests, renders WordPress (ekinertac.com)

Speaking of financing: how is the Anthropic IPO going, what is the timeline? They filed over a month ago, no news since. (I would have expected some spectacular news headlines that would be designed to fuel public interest in the impending IPO, but can't detect anything of substance)

Wow. Now did you try to check the setup with something like Claude Fable? Will it find issues, what kind of issues? Another question: how many tokens did this effort cost? Did you learn new prompting tricks?

i happened to liked Google AI mode, even wrote a composition about that [1] Now it is going to be enshittified, which is probably inevitable.

https://github.com/MoserMichael/tips_on_using_google_ai_mode

CNN is quoting data from the Gaza health ministry, an organization run by genocidal Islamist Hamas, without mentioning its affiliation and without questioning it. So much for objectivity on CNN and "Hacker News". There is also no mention on the food convoys that get plundered by Hamas. Just to mention: Hamas is designated as a terrorist organization in the US, since 1997.

I think publishers will not be pleased about a steep fall in click rates, now publishers still have considerable political influence. What will Google do in the event of serious legal pushback or a renewed drive for antitrust action?

The introduction of AI overviews into Google search will cost quite a lot in compute/other resources, despite heavy caching, therefore this might be a significant bet in terms of costs vs profit for Google. What does Google expect from this feature in terms of business results? This seems to be quite a big bet, but what is actually at stake - in real terms?

Come to think of it: is there now a showdown between Google and Microsoft/OpenAI, where collateral costs are no longer taken into account?

> I seriously think I'm going to stop posting on the internet for good.

I had similar thoughts, but it would probably not make a difference, at this stage. What is there stays there - either online, as in the case of HN, or as part of some collected dataset.

In hindsight: the world changed in so many ways, from the world I knew some twenty years ago, and I am not even talking about politics or technology: the attitudes and perception of people seems to have changed in many ways. Back then I thought it would be of benefit to be open and upfront about things. Now that is no longer a common perception.

Enough said.

reliability is much better now, as far as i can tell.

using zeebe/Camunda at work. The system gives you a way of designing and partitioning message-based workflows. It has a very thorough design.

"What do you think about user XYZ?" or "What do you think about the comments of user XYZ?"

It starts a whole lot of SQL queries that find and aggregate data & statistics

It must have a very interesting and well written system prompt for this type of questions.

(gives me second thoughts about my personal approach to privacy)

I once had a python side project, it parses the 1911 edition of Roget Thesaurus into memory and provides some queries.

https://github.com/MoserMichael/roget-thesaurus-parser

cpython doesn't have a JIT, why is free-threaded python a higher priority than developing a just in time compiler? The later would be more resonant with the typical use case for python and benefit a larger portion of users, wouldn't it? (Wouldn't a backend server project use golang or java to begin with?)