451 karma · joined July 26, 2024
Is there supposed to be a teaching in here?
Nothing will prevent you from typing “JavaScript with your hands”, from “holding code in our hands and molding it like clay…”, and all the other metaphors. You can still do all of it.
What certainly will change is the way professional code will be produced, and together with that, the avenue of having a very well-paid remuneration, to write software line-by-line.
I’ll not pretend that I don’t get the point, but it feels like the lamentation of a baker, tailor, shoemaker, or smith, missing the days of old.
And yet, most people prefer a world with affordable bread, clothes, footware, and consumer goods.
Will the world benefit the most from “affordable” software? Maybe yes, maybe not, there are many arguments on both sides. I am more concerned the impact on the winners and losers, the rich will get more rich and powerful, while the losers will become even more destitute.
Yet, my final point would be: it is better or worse to live in a world in which software is more affordable and accessible?
The simplest explanation would be “You’re using it wrong…”, but I have the impression that this is not the primary reason. (Although, as an AI systems developer myself, you would be surprised by the number of users who simply write “fix this” or “generate the report” and then expect an LLM to correctly produce the complex thing they have in mind.)
It is true that there is an “upper management” hype of trying to push AI into everything as a magic solution for all problems. There is certainly an economic incentive from a business valuation or stock price perspective to do so, and I would say that the general, non-developer public is mostly convinced that AI is actually artificial intelligence, rather than a very sophisticated next-word predictor.
While claiming that an LLM cannot follow a simple instruction sounds, at best, very unlikely, it remains true that these models cannot reliably deliver complex work.
Also, to which aspects are you referencing exactly, that “Apple’s competitors are funding lobbyists to get regulator help to tear down”?
Up until that point, I’d never had any heart-related issues, nor does anyone in my family. Just two days before being admitted to the hospital with a suspected heart attack, I came down with food poisoning. It wasn’t pleasant, of course, but I thought it was nothing unusual—something a couple of days of rest and hydration would normally resolve.
Since my bloodwork at the hospital matched the expected results for a heart attack, and I underwent surgery, the doctors understandably focused on treating the immediate problem rather than identifying the underlying cause (I’m eternally grateful to the team and staff at St. Vincentius-Kliniken. I truly don’t think I’d be here without them).
That said, I’m glad to see this area receiving more attention. Hopefully, it will lead to further studies and the development of better strategies for prevention and treatment.
I have a similar list of _art_ instead of most _entertainment_, and Hollow Kight there together with Disco Elysium
This isn’t criticism or sarcasm — I’m genuinely impressed, but also very curious about the rationale behind it.
Patents are difficult as they can include anything from abstract diagrams, chemical formulas, to mathematical equations, so it tends to be really tricky to prepare the data in a way that later can be used by an LLM.
The simplest approach I found was to “take a picture” of each page of the document, and ask for an LLM to generate a JSON explaining the content (plus some other metadata such as page number, number of visual elements, and so on)
If any complicated image is present, simply ask for the model to describe it. Once that is done, you have a JSON file that can be embedded into your vector store of choice.
I can’t say about the price-to-performance ration, but this approach seems to easier and more efficient than what is the author is proposing.
My father is T1 is uses the Libre CGM system for a couple years now. Libre users in the US and Europe can enjoy direct integration with their iOS devices, including constant updates and most importantly, notification alerts for dangerously high or low glucose levels, and it is even possible to share live updates of this with close family members or caretakers.
But none of this is available for my dad, as he lives in Brazil. Even though the product is same, he cannot download the iOS apps over the AppStore, as they are region locked.
Bazzite, as far as I am aware, is closest thing that you can get from a console-like experience for a HTPC*. Although it is possibly to configure Bazzite to launch directly into desktop mode, the key idea behind it is to launch in Big Picture mode, so you can manage the UI using a controller. Once that is done, you are pretty much into SteamOS/SteamDeck-like UI.
The appear of the Distro for me was always to get the convenience and console-like experience, while enjoying more powerful hardware and the benefits of the Steam platform.
Bazzite is a Linux operating system, built on SteamOS, that's designed to make it easy to use with different hardware and controllers. It simplifies the installation process and works really well with other game launchers that aren't on Steam, and you can set it up to look like a game console with the SteamOS interface or a regular computer with a desktop.
The only real problem I had was with competitive multiplayer shooter games require kernel-level anti-cheat software, that doesn't work with Linux.
But if playing online multiplayer isn't your main thing and you’re sick of windows being as intrusive as it is, Bazzite is an outstanding choice for a gaming or home theater computer.
I believe the overall positive employer-employee relationship in Europe is much more of a product of legislature and cultural norms, than the threat of violence.
That’s why I’m glad to see governments supporting Open Source alternatives to proprietary office software. Paying recurring subscription fees for low-maintenance tools like MS Office feels out of touch—especially when Microsoft once offered a one-time purchase model before shifting to SaaS to maximize profits. This change has made it difficult for individuals and businesses to retain long-term ownership of their tools without being tied to costly and recurring fees. The same trend has played out across the software industry, from design tools like Adobe Creative Cloud (which replaced one-time purchases with a mandatory subscription model) to communication platforms like Slack and Zoom, which lock companies into ongoing costs while limiting interoperability with other solutions.
However, my main issue is that I need to work with confidential client data that cannot be uploaded to a third party. Setting up the open-source, locally hosted version of Unstructured was quite cumbersome due to the numerous additional packages and installation steps required.
While I’m open to the idea of parsing content with an LLM that has vision capabilities, data safety and confidentiality are critical for many applications. I think your project would go from good to great if it would be possible to connect to Ollama and run locally,
That said, this is an excellent application! I can definitely see myself using it in other projects that don’t demand such stringent data confidentiality.”
My company is building an application for an university client, regarding the examination of research data written in "human language" (mostly notes and docs).
Due the high confidentiality of the subjects, as often they deal with non-patented information, we couldn't risk using frontier models, as it could break the novelty of the invention, therefore losing patentability.
Now with Llama3.1, we can simply run these models locally, on systems that is not even connected to the internet. LLMs are mostly good in examining massive amount of research papers and information, at least for the application we are aiming at, saving thousands of hours of tiresome (and very boring) human labour.
I am trying to endorse Meta or Zuckerberg or anything like that, but at least in this aspect, I think Llama being "open-source" is a very good aspect.
This would only sense if you also believe the rioters of 6th of January that stormed the capital also "just" broke some stuff.
Otherwise, this argument is just not okay.
In my experience working with technology founders, especially those in academia, there's a common belief that having a great idea is all it takes—that as soon as they come up with something innovative, people will be lining up to help turn it into a successful business.
But the reality is quite different. This misconception is one of the main reasons why most university patents never really get off the ground, ending up being more useful to patent lawyers registering them, and registration offices getting paid by their fees, than to the scientists who created them.
As an employee in Germany, it sounds deranged to receive an email saying I have one day to completely change my work contract, or be fired from my job.
As other comments noted, the man literally made millions distributing copyrighted material, while completely aware of what he was doing.
Are there any plans on releasing any sort of API integration? I work in Technology Transfer consultancy for research institutes in Europe, and often we have to do manual evaluation of publications for novelty check and similar developments. Since most of the projects we work on were developed by leading researchers in academic institutions, it is important for us to quickly assess if a certain topic has been studied already.
Currently, one of my company's internal projects is a LLM-powered software to automate much of the manual search, together with other features related to the industry.
I think it be very beneficial for us to implement academic papers search function, but for that an API system would be required.
Great work nonetheless, good luck on the journey