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I'd argue that they actually learned it well, that's why we see anti-privacy stuff like this and Chat Control.

Thanks for sharing it, however I have an unrelated comment.

Maybe I am in minority here but just wanted to provide this feedback: The background animation of the blog page is really distracting and making it difficult to focus on the actual content.

I am also using conda and specifically mamba which has a really quick dependency solver.

However, sometimes repos require system level packages as well. Tried to run TRELLIS recently and gave up after 2h of tinkering around to get it to work in Windows.

Also, whenever I try to run some new repo locally, creating a new virtual environment takes a ton of disk space due to CUDA and PyTorch libraries. It adds up quickly to 100s of gigs since most projects use different versions of these libraries.

</rant> Sorry for the rant, can't help myself when it's Python package management...

Also relevant and useful single-file public domain libraries for C/C++

https://github.com/nothings/stb

I did not know that cleanrooms have classes. Apparently they used a 10000 class cleanroom which is one of the "dirtiest" grade.

Surely an astroid sample return mission is scientifically one of the most important and difficult things to accomplish, and I wonder why they did not use a higher class cleanroom for this even though they mentioned "Researchers recommend enhanced contamination control procedures for future sample-return missions to prevent microbial colonization and ensure the integrity of extraterrestrial samples."

Agreed on providing examples is definitely a useful insight vs fine-tuning.

While it is not very important for this toy case, it's good to keep in mind that each provided example in the input will increase the prediction time and cost compared to fine-tuning.

To me it boils down to what is to be measured here. With logprobs we can measure both correctness and not attempted i.e. if LLM is guessing the response.

Similar to exams where both the progress to the solution and the final outcome/value of the calculations are part of the grade.

To have the cake and eat it too for chain-of-thought reasoning, one way is to ask for a "final answer" so the final response token logprobs can be evaluated https://chatgpt.com/share/67239d92-b24c-800a-af8c-40da7be1f5...

Another trick is using JSON mode to keep intermediate results and final response separate, so each can be graded accordingly.

I am puzzled why they have "asked the model" about the confidence and have not used the logprobs of the output tokens to estimate the confidence in responses.

In my use case and tests, model itself is not capable of giving a reliable confidence value where logprobs almost always provide a better view on calibration.

Reminds me of https://chiptune.app/browse

I would be extremely surprised if that's the case. There are "open-source" multimodal LLMs can extract text from images as a proof that the idea works.

Probably the model is hallucinating and adding "Hungarian language is not installed for Tesseract" to the response.

This sounds like the solution I could benefit a lot as well since I am using Obsidian for almost everything.

Could you elaborate more on the "local AI assistant parsing" part please?

It is a petroleum-based polymer, tomato vs tomato...

Apparently PEG is/was the one of the reasons of the severe allergic reactions in mRNA COVID-19 vaccines (Moderna, Pfizer)[0]

That's plastics for you folks...

[0]: [Translated from German](https://www-aerzteblatt-de.translate.goog/archiv/217236/COVI...)

I am really puzzled how are they able to "quietly" update the terms without notifying their users? Everybody was joking about the emails (We have updated our terms...) raining from every company when GDPR et al. got introduced. What changed?

I am also mostly using VSCode for Notebooks however one big downside is the performance goes down the drain when the notebooks are large in size (i.e. Contains images, plots).

The cell execution speed drastically (up to 10x) slows down w.r.t. Notebook file size. Still looking for a solution to this problem.

20 ppb listed in the EU document is for animal feed materials, not for the actual food. I

EU:

> For maize and all products derived from maize, including processed maize products, maximum limits (μg/kg) of 2,0 ppb for Aflatoxin B1 and 4,0 ppb for sum of Aflatoxins B1+B2+G1+G2 are set

> For Food (incoming material): Maximum limits (μg/kg) of 5,0 ppb for Aflatoxin B1 and 10,0 ppb for sum of Aflatoxins B1+B2+G1+G2.

> For feed: Feed materials 20 ppb for Aflatoxin B1

They are not noticeable under visible light, so contaminated figs look totally normal except under UV and/or IR light. You can check out the link (2) above or this one:

https://www.researchgate.net/figure/Sample-photographs-taken...

On a side note, try to keep eating figs in dried form at a moderate amount or avoid altogether if the source is "not reputable".

Dried figs are very susceptible to Aflatoxin B1(1) which is a very potent carcinogen from fungi. US food safety regulations allow 2-10 times more aflatoxin B1 in food compared to EU.

During my work, I had a chance to visit dried fig producers and saw even a couple of contaminated figs spreading to the rest of the stock like wildfire.

What you can do is to check your dried figs under UV light, and it should not shine. Here's an example image(2) I found.

Source: I have worked in the company as a machine vision engineer to develop aflatoxin detection systems with UV light.

1: https://en.wikipedia.org/wiki/Aflatoxin_B1

2: https://dergipark.org.tr/tr/download/article-file/21073?page...

Yes, but it is in their interest to monetize this. Many people I talked with are fully willing to pay for it after it goes behind a paywall. OpenAI improved the user experience of their Playground with ChatGPT and not so many people taking out the wallet for DALL-E 2. It is fair to mention that the free alternatives of DALL-E 2 are equally capable, if not better.

This was a fantastic read! Seeing the German language, that is also foreign to me, and its learning process explained by a master writer, gave me a great new perspective and understanding. Many topics that I felt not completely understood just fits into the place now.

But why would the money or the minimum wage job that one has should change their ideals or "endgame" goals?

Maybe in other words, why would anyone should ask to grow old doing something they don't love?

I would confirm this as a resident of the aforementioned city.

The specialist (or even many generalist) bookstores usually follow a certain ideology and sell books heavily aligned with those views. Unfortunately, this slowly converts those stores to echo chambers as the objectiveness of the stores slowly fade away.

This is good news but due to the nature of widely adopted open-source projects, they are still vulnerable to a similar situation. It is listed that AWS is one of the sponsors of the Rocky Linux. Recently we have seen what happened between elastic and AWS. So, AWS could also pull an IBM and decide to drop it or tie it tightly with AWS services etc.

It is a difficult situation in general and it is a shame that this was one of the most used distros in servers.

Thank you for the explanation!

Where can we see this comment? Here at HN or the post itself? I could not see any comments with 'paveldurov'.

Ok, I will bite.

Why is it good? What benefit does it achieve other than confusing people. It is also a good reminder that how things were before. One should not forget the past and things accomplished by many efforts. How is it different than 1984's newspeak or the idea of 'changing the history? Why not choose an approach similar to this (first link I found about Warner Bros' approach): https://twitter.com/stilkov/status/506324544177836032

I have the same bad experience with DDG and it is so slow. I found Bing relatively better and it is constantly improving with new features.

I recently gave Bing a chance after DDG being so slow and now I am quite happy with the result quality and presentation of Bing. Give it a try!

That's why I used quotation marks for the search engine part. There are still a lot of people thinking Google as a harmless and search engine company. This image is disappearing slowly with their actions over time. Still, there are other players in the advertisement business and they can easily take Google's place.

This problem should be solved more in direction of regulating data collection and usage. Even though the GDPR is implemented, it is obvious that it is not enough. There is simply no "cost" of using the user data and to the end users, the claimed personalization benefits are almost always very very small, if there are even any benefits. Majority of the world is using an Android-based smartphone, almost everybody can be uniquely fingerprintable (https://amiunique.org/). So, Google simply has 7/24 access to what you are doing, what you are buying, watching, listening to, who are your friends, what are your interests, what are your "secret" interests when you use incognito/secret mode in your browser and many more. This sounds like a doomsday scenario or a fancy story but it is simply the objective truth.

Even though the discussion started with AMP and controlling the internet completely, Google -or any from FAANG- is the culprit here.

And to answer your question, I am using Firefox.