How To Delegate Your Work To ChatGPT (Use These Prompts) with Rob Lennon

Outthink ChatGPT

  • ChatGPT tries to give you results an average person would expect. If you want to write something that’s novel you almost have to start from the point of view that you have a semi-adversarial relationship with the way that it’s designed.
  • You need to be thinking ‘Okay, how can I get past what it thinks first? How can I get into the deeper stuff that’s less average or less expected or less predictable?’
  • Use a prompt where you ask something like ‘What are the counter-intuitive things here? What would I not think of on this topic? What’s something that most people believe that’s untrue? What are some uncommon answers to the same question?’
  • Then you get the real list. You almost need to give it a chance to get those bad ideas out to get to the real meat of something.
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#chatbots, #podcasts

An Indigenous Perspective on Generative AI

Earlier this month, Getty Images, one of the world’s most prominent suppliers of editorial photography, stock images, and other forms of media, announced that it had commenced legal proceedings in the High Court of Justice in London against Stability AI, a British startup firm that says it builds AI solutions using “collective intelligence,” claiming Stability AI infringed on Getty’s intellectual property rights by including content owned or represented by Getty Images in its training data. Getty says Stability AI unlawfully copied and processed millions of images protected by copyright and the associated metadata owned or represented by Getty Images without a license, which the company says is to the detriment of the content’s creators. The notion at the heart of Getty’s assertion– that generative AI tools like Stable Diffusion and OpenAI’s DALLE-2 are in fact exploiting the creators of the images their models are trained on– could have significant implications for the field. 

Earlier this month I attended a symposium on Existing Law and Extended Reality, hosted at Stanford Law School. There, I met today’s guest, Michael Running Wolf, who brings a unique perspective to questions related to AI and ownership, as a former Amazon software engineer, a PhD student in computer science at McGill University, and as a Northern Cheyenne man intent on preserving the language and culture of native people. Read More

#gans, #podcasts, #chatbots, #nlp

OpenAI releases tool to detect AI-generated text, including from ChatGPT

After telegraphing the move in media appearances, OpenAI has launched a tool that attempts to distinguish between human-written and AI-generated text — like the text produced by the company’s own ChatGPT and GPT-3 models. The classifier isn’t particularly accurate — its success rate is around 26%, OpenAI notes — but OpenAI argues that it, when used in tandem with other methods, could be useful in helping prevent AI text generators from being abused.

“The classifier aims to help mitigate false claims that AI-generated text was written by a human. However, it still has a number of limitations — so it should be used as a complement to other methods of determining the source of text instead of being the primary decision-making tool,” an OpenAI spokesperson told TechCrunch via email. “We’re making this initial classifier available to get feedback on whether tools like this are useful, and hope to share improved methods in the future.” Read More

#chatbots, #fake

ChatGPT: Netscape Moment or Nothing Really Original

As the sudden explosion of public interest in ChatGPT continues to excite millions, we ask: Is this the tipping point for machine-driven conversation (and more)? Is ChatGPT the Netscape of our time?

In Fortune’s The inside story of ChatGPT: How OpenAI founder Sam Altman built the world’s hottest technology with billions from Microsoft, author Jeremy Kahn helpfully explains OpenAI’s history, structure, financing, and much more — at 6K words, the article covers a lot of territory. Kahn cuts straight to The Big Moment scenario in his opening paragraph [emphasis mine]:

“A few times in a generation, a product comes along that catapults a technology from the fluorescent gloom of engineering department basements, the fetid teenage bedrooms of nerds, and the lonely man caves of hobbyists — into something that your great-aunt Edna knows how to use. There were web browsers as early as 1990. But it wasn’t until Netscape Navigator came along in 1994 that most people discovered the internet. There were MP3 players before the iPod debuted in 2001, but they didn’t spark the digital music revolution. There were smartphones before Apple dropped the iPhone in 2007 too — but before the iPhone, there wasn’t an app for that.” Read More

#chatbots, #nlp

AI Detector Pro is latest tool to detect ChatGPT-written content

newly available online tool can purportedly detect AI-written content from ChatGPT and similar systems. Called AI Detector Pro, it works by identifying commonly-used styling and wording used by OpenAI’s GPT-based algorithms.

… Similarly, Stanford researchers announced DetectGPT to identify content created by large language models like ChatGPT. Read More

#chatbots

ChatGPT passes exams from law and business schools

ChatGPT is smart enough to pass prestigious graduate-level exams – though not with particularly high marks.

The powerful new AI chatbot tool recently passed law exams in four courses at the University of Minnesota and another exam at University of Pennsylvania’s Wharton School of Business, according to professors at the schools.

To test how well ChatGPT could generate answers on exams for the four courses, professors at the University of Minnesota Law School recently graded the tests blindly. After completing 95 multiple choice questions and 12 essay questions, the bot performed on average at the level of a C+ student, achieving a low but passing grade in all four courses.

ChatGPT fared better during a business management course exam at Wharton, where it earned a B to B- grade. In a paper detailing the performance, Christian Terwiesch, a Wharton business professor, said ChatGPT did “an amazing job” at answering basic operations management and process-analysis questions but struggled with more advanced prompts and made “surprising mistakes” with basic math. Read More

#chatbots

Decoding the Hype About AI

A conversation with Arvind Narayanan

If you have been reading all the hype about the latest artificial intelligence chatbot, ChatGPT, you might be excused for thinking that the end of the world is nigh.

The clever AI chat program has captured the imagination of the public for its ability to generate poems and essays instantaneously, its ability to mimic different writing styles, and its ability to pass some law and business school exams

Teachers are worried students will use it to cheat in class (New York City public schools have already banned it). Writers are worried it will take their jobs (BuzzFeed and CNET have already started using AI to create content). The Atlantic declared that it could “destabilize white-collar work.” Venture capitalist Paul Kedrosky called it a “pocket nuclear bomb” and chastised its makers for launching it on an unprepared society.

Even the CEO of the company that makes ChatGPT, Sam Altman, has been telling the media that the worst-case scenario for AI could mean “lights out for all of us.” Read More

#chatbots

A Skeptical Take on the A.I. Revolution 

The year 2022 was jam-packed with advances in artificial intelligence, from the release of image generators like DALL-E 2 and text generators like Cicero to a flurry of developments in the self-driving car industry. And then, on November 30, OpenAI released ChatGPT, arguably the smartest, funniest, most humanlike chatbot to date.

In the weeks since, ChatGPT has become an internet sensation. If you’ve spent any time on social media recently, you’ve probably seen screenshots of it describing Karl Marx’s theory of surplus value in the style of a Taylor Swift song or explaining how to remove a sandwich from a VCR in the style of the King James Bible. There are hundreds of examples like that.

But amid all the hype, I wanted to give voice to skepticism: What is ChatGPT actually doing? Is this system really as “intelligent” as it can sometimes appear? And what are the implications of unleashing this kind of technology at scale? Read More

#chatbots, #nlp, #podcasts

Teaching In The Age Of AI Means Getting Creative

Alarm bells seemed to sound in teachers’ lounges across America late last year with the debut of ChatGPT — an AI chatbot that was both easy to use and capable of producing dialogue-like responses, including longer-form writing and essays. Some writers and educators went so far as to even forecast the death of student papers. However, not everyone was convinced it was time to panic. Plenty of naysayers pointed to the bot’s unreliable resultsfactual inaccuracies and dull tone, and insisted that the technology wouldn’t replace real writing.

Indeed, ChatGPT and similar AI systems are being used in realms beyond education, but classrooms seem to be where fears about the bot’s misuse — and ideas to adapt alongside evolving technology — are playing out first. The realities of ChatGPT are forcing professors to take a long look at today’s teaching methods and what they actually offer to students. Current types of assessment, including the basic essays ChatGPT can mimic, may become obsolete. But instead of branding the AI as a gimmick or threat, some educators say this chatbot could end up recalibrating the way they teach, what they teach and why they teach it.  Read More

#chatbots, #ethics

AI Passes U.S. Medical Licensing Exam

— Two papers show that large language models, including ChatGPT, can pass the USMLE

Two artificial intelligence (AI) programs — including ChatGPT — have passed the U.S. Medical Licensing Examination (USMLE), according to two recent papers.

The papers highlighted different approaches to using large language models to take the USMLE, which is comprised of three exams: Step 1, Step 2 CK, and Step 3. Read More

Paper 1
Paper 2

#chatbots