How to use LLMs to solve "really hard problems"? The "AIdeas Collider" approach, piloted by Head of Innovation Design at MIT's Collective Intelligence Design Lab.
"how can you use ChatGPT to generate ideas and brainstorm within Obsidian?", which is currently my note-taking tool of choice. First, some generic advice for prompting:"be specific about the outcome that you want to achieve... providing a prompt that contains more descriptive language ...give preceding prompts ... [specify the] resp…
An interview with Demis Hassabis, head of Google DeepMind & architect behind AlphaFold.
"ChatGPT only looks at the past... [it's response] based on an “average” of everything already said on the issue. It’s pure reversion to the mean"
Wired's rules for using generative AI: "Not for images, yes for research, no for copyediting, maybe for idea generation". Meanwhile interactive book PromptCraft shows how to "get the most out of the creative man/machine communications... AI is like querying our collective intelligence".So how best to design an AI prompt?…
from Alice Albrecht, who "runs re:collect, a startup building an AI-powered thought partner:... advances in AI and cheaper compute lower the bar for getting from a creative idea to a final output... though, we still need to provide the initial seed... and ... judge whether we’re heading in the right direction. We’re still the creative direct…
"What if we were to think of LLMs not as tools for answering questions, but as tools for asking us questions and inspiring our creativity? ... even simple tools can lead to interesting results when they clash with the contents of our minds"So he tries using ChatGPT as a muse. TL:DR; "ChatGPT asked me probing questions, suggested spe…
Interesting, illuminating (but contested) metaphor for thinking about LLMs from one of my favourite authors, Ted Chiang:"Think of ChatGPT as a blurry jpeg of all the text on the Web. It retains much of the information... but, if you’re looking for an exact sequence of bits, you won’t find it; all you will ever get is an approximation... nonse…
Articulates exactly my problem with most Tools4Thought, hence the "super simple Thinking Tool" I want at the heart of myhub's CMS."Perhaps something as simple as having the word ‘Tool’ first causes us to focus on the tool more than the thinking... to confuse thought as an object rather than thought as a process... [causing us t…
Great piece on the implications for creators of the shift to algorithmically managed content platforms."Vine was an entirely new cultural platform ... Twitter had unwittingly enabled the creation of a true subculture... [but] didn’t know how to make money from it... in contrast... TikTok has prospered because it generally seems to understa…
for innovators who are tasked with problem solving and imagining the future, human curiosity and playfulness will always have the advantage.. . machines cannot yet have intuition, nor the ability to empathize, reframe problems and truly innovate.. . The robots may be coming for our jobs, but it is too early to call checkmate on human ingenuity.
Many famous scientists have something in common—they didn’t work long hours... lives were full and memorable, their work was prodigious, and yet their days are also filled with downtime... great students didn’t just practice more than the average, they practiced more deliberately... engaging with full concentration in a special activity to improv…
You have nothing to fear but fear itself. Fear, and algorithms... It has never been easier for designers and non-designers to create great websites that even five years ago would have cost a fortune to build... design is dead. There is more to design than the pixel-pushing of visual design... The real designers, problem solvers... able to co…
Distributed intelligence means you need to find a social process, not a data-driven solution... You cannot outsource leadership to your analytics group. - Thinking Small: 3 Ways To Remain Creative In A World Of Big Data | Co.Create | creativity + culture + commerce
"There are many kinds of intelligence, and many kinds of stupidity. But not all are created equal. The intelligence of a computer is not the stupidity of a human, and vice versa. Which one would you rather be? ... One can be smart in stupid ways... or stupid in smart ways... technology’s making us stupid stupid — not just stupider, but stupider…
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