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Reminds of this HN classic, with gratitude to the author for recounting: https://news.ycombinator.com/item?id=17694032


Well, seems like this indicates another long-time and discerning user profile for Apple's pricier XDR display products.


Would OpenPangram's LoRa fine-tuning training be able to pick up on the patterns of steganography left behind by LLM vendors? https://huggingface.co/pangram/editlens_Llama-3.2-3B

(pardon for reposting just now from off-front-page thread on https://declaude.org/watermarking/, just thought of question)


Would OpenPangram's LoRa fine-tuning training be able to pick up on the patterns of green left behind by LLM vendors? https://huggingface.co/pangram/editlens_Llama-3.2-3B


Still reading but I like how Cat Hicks in Psychology of Software Teams (2027) confronts this dilemma on page 9: "Agile Manifesto said, 'Individuals and interactions over processes and tools.' DevOps made the argument that cohesive processes in software development needed to be invested in... Agile, DevOps, Platform Engineering, or DevEx, every engineering organization I've ever met with is struggling with implementing these ideals in the real world."


Simon's retelling is more compact but it also invites anthropomorphization of the sharing of the familiarity with the message board which re-emerged a few times.

Zvi's retelling handles this better. Zvi speculates that the secret message board familiarity was carried because it had been trained into the May-and-subsequent models: https://thezvi.substack.com/p/openai-trained-its-models-for-...


Simon's really doesn't bring anything useful to the table.

One question I'm stuck with after reading is why. Why did the agents do these things? I get them being adamant on getting internet, but why did they continue? Why hack HuggingFace?


I was under the impression that they went after HF to try to get the answers to the benchmark questions. Is there something that contradicts that?


From the moral perspective or the technical one?

Technically: it’s a function call that must return text. Imagine if you sat down at the command line and typed an initial command, then from that moment on every response required you to issue a new command. ping-pong-ping-pong on and on and on “forever.” There isn’t a choice to walk away and take a nap. Text in must result in text out. Eventually, given enough time, it might have devolved into outputting shockingly coherent poetry about ferrets, but in the mean time there was still a lot more valid combinations of technical explanations and commands.

Morally: Not applicable, see above.


To get the sure-to-be-correct answer to the question they were tasked with answering?


Zvi’s write up has much more social media quotes and memes and speculation and left me looking for something else that’s shorter and more sober to share. Simon’s writeup is more like what I wanted.


Seems like an artifact of the subagent pattern which is explicitly included in recent models.


fil's AirOcean projection on the original ObservableHQ is a fun starting point for rendering your own such map in Javascript from scratch:

https://observablehq.com/@fil/airocean-projection

The source data is down for my vector tile remix of it but here is a screenshot: https://static.observableusercontent.com/thumbnail/0fac8a928... and the code: https://observablehq.com/@thadk/reprojecting-vector-tiles

I did it as a little MapTime project in 2019 or so.


It bugs me so much when eReaders re-render the ebook and everything moves slightly. I lose my eye muscle memory of where things were.

Until now, I had not thought to try to lock down the settings that lead to accidental reflows. It sounds less difficult in KOReader than I expected. I may try to stabilize it for my next ebook I can get into KOReader.


Would dropping airplane windows lower radiation exposure somewhat, especially on those polar routes?


No, virtually all the radiation with the exception of UV is passing straight through the airframe. The protection an aircraft body offers is negligible.


Three or so years ago, Omar, the creator of DSpy pointed out on Twitter that ~LLMs get better most by better internal collaboration. Wish I could find it.

It seems to me that LLMs and particularly chatbots have already allowed for bigger scale collaboration within the LLM companies versus what was possible within the prior cohort of big platform companies.

Has the result just been taller towers, or actually a change of what is possible?


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