So, how can we get a proper answer? Ten years ago, when I wrote “The Milwaukee Soup App”, I used the Kimono (which is long dead) to scrape the soup of the day. You could also write a fiddly script to scrape the value manually. It turns out that there is another option, though. You could use Scrapegraph-ai. ScrapeGraphAI is a web scraping Python library that uses LLM and direct graph logic to create scraping pipelines for websites, documents, and XML files. Just say which information you want to extract and the library will do it for you.
Let’s take a look at an example. The project has an official demo where you need to provide an OpenAI API key, select a model, provide a link to scrape, and write a prompt.
As you can see, it reliably gives you the flavor of the day (in a nice JSON object). It will go even further, though because if you point it at the monthly calendar, you can ask it for the flavor of the day and soup of the day for the remainder of the month and it can do that as well.
I am running Python 3.12 on my Mac but when you run pip install scrapegraphai to install the dependencies, it throws an error. The project lists the prerequisite of Python 3.8+, so I downloaded 3.9 and installed the library into a new virtual environment.
Let’s see what the code looks like.
You will notice that just like in yesterday’s How to build a RAG system post, we are using both a main model and an embedding model.
At this point, if you want to harvest flavors of the day for each location, you can do so pretty simply. You just need to loop through each of Culver’s location websites.
Have a question, comment, etc? Please feel free to drop a comment, below.
Just got an e-mail from #storyblok informing me that one of their sub-processors (whatever that means) is now #OpenAI.
I immediately asked them if the content I created will be used in any way to train their #LLM and if so, I want no part in it. Requested a back-up of my data and to delete everything.
I used it for the first iteration of my blog but switched to #markdown a while ago.
‘The idea of #AI wearables is not new. Enough time may have passed for Silicon Valley to forget the debacle of Google #Glass, the AI-powered headset that the search company launched in 2013 but largely abandoned just two years later. But the reaction to #Humane will only fuel suspicion that the latest attempts to reboot Glass are just another manifestation of an AI funding bubble.’ https://www.ft.com/content/ccec597d-11bb-4105-858f-78580d4331a1
There are doubts about the copyright of AI-generated music.
Should AI music be subject to copyright?
If AI music is subject to copyright, imagine a scenario where AI generates billions of different random songs, across the scale of diversity, this music will be published, it will have maybe 0-2 listens, but it will be officially released.
In this way, the owner of this AI will reserve all possible new music in the world for himself.
He will be able to sue every new artist for plagiarism, because what is the chance that his AI did not generate something similar, at such a scale of generation?
What if AI music is not subject to copyright? If, for example, they were automatically in the public domain?
An almost identical scenario may occur, also AI will generate billions of various random songs, on the entire scale of diversity, this music will be published... but this time artists will no longer be able to profit from music that will be in some way similar to that generated by AI, and any new music, will be similar to those billions of songs generated by AI.
Even the artist's sense of not having created something original could be demotivating for him, even if it were established that AI music is not in the public domain and it would be possible to duplicate and monetize music similar to that generated by AI.
And then another scenario may arise, that pseudo-artists will deliberately review finished AI-generated songs, and will "take over"/occupy the copyrights to these songs. It's also not a pretty scenario.
So what, ban AI music and force it to be removed from the Internet? Drive AI music underground?
However, the current law is adapted to people who have limited ability to produce music.
In fact, even before generative music, there was a problem of songs being similar to each other, and about a hundred years of universal copyright was enough.
Now we're firing up the roller skates.
Są wątpliwości, co do praw autorskich, generowanej przez AI muzyki.
Czy muzyka AI powinna podlegać prawom autorskim?
Jeśli muzyka AI będzie podlegać prawom autorskim, to wyobraź sobie scenariusz, gdzie AI wygeneruje miliardy najróżniejszych losowych utworów, na całej skali różnorodności, ta muzyka zostanie opublikowana, będzie miała może 0-2 odsłuchania, ale oficjalnie będzie wydana.
W ten sposób właściciel tego AI zarezerwuje dla siebie wszelką możliwą nową muzykę świata.
Będzie mógł pozywać każdego nowego artystę o plagiat z automatu, bo jaka szansa, że nie jego AI nie wygenerował czegoś podobnego, przy takiej skali generowania?
A co, jeśli muzyka AI nie będzie podlegać prawom autorskim? Jeśli np. byłyby automatycznie w domenie publicznej?
Może zaistnieć niemal identyczny scenariusz, również AI wygeneruje miliardy najróżniejszych losowych utworów, na całej skali różnorodności, ta muzyka zostanie opublikowana... ale tym razem artyści już nie będą mogli czerpać zysków z muzyki, która będzie w jakiś sposób podobna, do tej wygenerowanej przez AI, a każda nowa muzyka, będzie podobna do tych miliardów piosenek, wygenerowanych przez AI.
Nawet samo poczucie artysty, że nie stworzył czegoś oryginalnego może być dla niego demotywujące, nawet jeśli ustalono by, że muzyka AI nie jest w domenie publicznej, i można by dublować i zarabiać na muzyce podobnej do tej wygenerowanej przez AI.
A wtedy może zaistnieć kolejny scenariusz, że pseudo artyści będą celowo przeglądać gotowe utwory wygenerowane przez AI, i będą "przejmowali"/zajmowali prawa autorskie do tych utworów. To też niezbyt piękny scenariusz.
To co, zakazać muzyki AI, zmuszać do usuwania jej z sieci? Zepchnąć muzykę AI do podziemia?
Dotychczasowe prawo jest jednak dostosowane do ludzi, którzy mają ograniczoną zdolność produkowania muzyki.
Tak naprawdę jeszcze przed generatywną muzyką, był problem podobieństwa piosenek do siebie, wystarczyło gdzieś sto lat powszechnych praw autorskich.
Teraz odpalamy wrotki.
Sometimes I think starting a YouTube channel would be fun, but then I realize I don't know what I would talk about in a YouTube video 😆😅 :blobcatcamera: 1/
This month's editorial looks at the possible ethics issues that could come with introducing a reliable detector to the filtering process of a submissions system. Curious what people think. https://clarkesworldmagazine.com/clarke_05_24/
@clarkesworld A few thoughts: You are dealing with a special kind of spam here, call it slop spam. To catch a spammer, remember they are lazy people. They don't fake meta data well, or don't even bother.
Look at repetitive patterns in IP addresses or user agents of the submitting Browser.
don't accept submissions from outdated software, like a ten year old firefox.
don't accept submissions by people that don't bother to hide they are using curl or wget. #spam#slop#ai 1/3
@clarkesworld 2. Validate the author's email address, and check if it exists and is answerable. There are online services dealing with this. Don't accept submissions using disposable email addresses. Consider rejecting submissions from freemail services or services with a bad security record. Yes, this includes yahoo for example. #spam#slop#ai 2/3
@clarkesworld 3. The author's postal address should exist. Validation is more expensive than email address validation, but surprisingly accurate in developed countries. The same goes for the phone number. Look for patterns.
4. Give captchas a try on your submissions page, if you haven't already. #spam#slop#ai 3/3
It appears quite obvious (eg Apple crush ad response, Stack Overflow post defacement/deleting) that people are feeling spicy and are ready to be ungovernable with respect to AI overlords.
I'm grieving for Stack Exchange. It's been such a good concept. I've learned a lot there. I've enjoyed contributing. "Let's build upon each other's knowledge and find the best answers, collaboratively" is such a great premise.
Well, not anymore. "AI" has to eat everything.
We've been, or are in the process of, losing so many good things lately, for different reasons. Twitter, Reddit, GitHub, Raspberry Pi, search engines, streaming services … capitalism is enshittifying everything.
Yeah, Apple has had a few advertising missteps in the past ("wHatZ uH cOmpUTer???), but this 'Crush' commercial is one of the darkest mistakes I think they've ever made. It feels like the intro to Fallout style dystopian story.
A far cry from the optimism of the 1984 commercial, Apple has become what they once rallied against... https://appleinsider.com/articles/24/05/08/apples-crush-ipad-pro-ad-sparks-intense-backlash-from-creatives