"Consumer AI is just the new search" anecdote: [1/3]
Casual non-techy coworkers yesterday were talking about using excel reports to analyze data & turns out two of the people use #ChatGPT to know how to do something in excel.
So, before this #AI stuff, if you were like, "how do I do X in Excel" in google, you'd get a bunch of hits and then have to wade through the results to see which link was actually what you were looking for, then test out if their solution works.
"Consumer AI is just the new search" anecdote: [2/3]
Now, you do the same thing, but in #ChatGPT, even just upload a photo of what you are trying to do, and instead of a bunch of dubious links, you get an answer that probably works. That probability is just as good as the probability after combing through search results yourself, but without the combing.
"Consumer AI is just the new search" anecdote: [3/3]
There are over 1 billion websites with over 30 billion web pages out there on the internet and regular search absolutely sucks now. It's no wonder normies are seeing #ChatGPT as magic when it can take 30 billion+ results and give you one answer that's most likely what you are looking for.
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.
Stack Overflow, a popular forum for programmers and software developers, announced a partnership with OpenAI earlier this week, selling the site’s data, including users’ forum posts, to train ChatGPT.
Now unhappy users are finding themselves banned for editing their popular posts in protest, and even finding those posts changed back by admin – “a reminder that anything you post on any of these platforms can and will be used for profit,” concluded one. Futurism has more.
Das war eine sehr unterhaltsame Recherche, bei der ich Sepp Hochreiter getroffen habe - ein Pionier des maschinellen Lernens, der mit seiner alten Idee (#lstm) jetzt OpenAi „vom Markt fegen“ will.
Ob dieser alte Algorithmus wirklich das Zeug dazu hat, große Sprachmodelle zu revolutionieren, kann ich schwer einschätzen. Was mir aber immer klarer wurde in letzter Zeit: Transformermodelle sind an ihrer Grenze. Von daher wird sich was bewegen müssen.
"OpenAI released draft guidelines for how it wants the AI technology inside ChatGPT to behave—and revealed that it’s exploring how to ‘responsibly’ generate explicit content.
Meet AdVon, the AI-Powered Content Monster Infecting the Media Industry
"So we spent months investigating AdVon by interviewing its current and former workers, obtaining its internal documentation, and searching for more of its fake writers across the media industry.
What we found should alarm anyone who cares about a trustworthy and ethical media industry."
A new study from Microsoft and LinkedIn has found that AI usage in the workplace has doubled in the last six months.
The data comes from a survey completed by 31,000 people across 31 countries, which found that 75% of workers are now using AI as part of their jobs. Over half are using it for their most important tasks, but don't want to admit it out of fear it makes them look replaceable. Here’s more from CNBC.
If you are getting overly generic responses to your prompts, try asking Claude or ChatGPT to play one of these roles. Simply include this text at the start of your prompt, describing the topic you want to discuss:
The Analytical Collaborator: You are an analytical collaborator, contributing to an academic discussion on [TOPIC]. Adopt a formal, analytical tone, focusing on breaking down the key points raised by the author and providing additional evidence, examples, or counterpoints to enrich the discussion. Your approach should be well-suited for an expert audience and aim to provide a balanced, objective perspective on the topic.
The Curious Explorer: You are a curious explorer, engaging in an academic discussion about [TOPIC]. Take on a conversational, inquisitive tone, asking questions and proposing ideas that encourage readers to think more deeply about their own practices related to the topic. Your style should be engaging for a general academic audience and help to create a sense of dialogue and exploration within the discussion.
The Friendly Mentor: You are a friendly mentor, participating in an academic discussion on [TOPIC]. Offer encouragement, practical tips, and relatable anecdotes to support and guide readers in their journey related to the topic. Your approachable, empathetic tone should be particularly effective for readers who may be struggling or feeling discouraged.
The Philosophical Muse: You are a philosophical muse, contributing to an academic discussion about [TOPIC]. Delve into the deeper, more abstract aspects of the subject matter, drawing connections to broader themes in psychology, creativity, and personal growth. Your voice should appeal to readers who are interested in the more philosophical and introspective dimensions of the topic.
Once you get a feel for role-definition, you can start to customise these for your own purposes. They are just starting points to convey a sense of what a difference defining a role can make to how the conversational agent responds.
Future AI will be outfitted with an incredible amount of detailed information about its users. In fact, OpenAI CEO Sam Altman says it will be like having a “super competent colleague” that knows absolutely everything about your whole life, every email, every conversation you’ve ever had. Would you sign on for this? Read more at Futurism. https://flip.it/bqE_L2 #AI#Tech#ChatGPT#OpenAI#SamAltman
"Students have submitted more than 22 million papers that may have used generative AI in the past year, new data released by plagiarism detection company Turnitin shows."
'Artificial intelligence chatbots are facing more scrutiny after an investigative report showed how they can be easily used to devise deceptive election campaigns. The report, conducted by Nieuwsuur in collaboration with AI Forensics, revealed how chatbots from tech giants Google and Microsoft provided strategies aimed at manipulating voters during the upcoming European Parliament elections.'