Overview: Productivity

"My advice: Jump headfirst into AI with everything you’ve got."

Is your organization more like a jellyfish or a flatworm?The author's "Jellyfish and Flatworm story has been remarkably effective at helping ... [executives] visualize the impact of AI on their customers, their products, and their employees... this story is about why Knowledge Representation (KR) must be the core of any cost-effective lo…

"despite the immense potential of LLMs, they come with a range of challenges... hallucinations, the high costs associated with training and scaling, the complexity of addressing and updating them, their inherent inconsistency, the difficulty of conducting audits and providing explanations, predominance of English language content... [they…

insights into the complex relationship between AI and knowledge work, emphasizing the need for a nuanced understanding of AI's role in enhancing productivity and quality in different task domains - Harpa

Asks: could LLMs be used to "create tools that sift and summarize scientific evidence for policymaking... [for] knowledge brokers providing presidents, prime ministers, civil servants and politicians with up-to-date information on how science and technology intersects with societal issues... [who must] nimbly navigate ... millions of scientif…

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…

Borrowing heavily from an article "about social media platform saturation inspired by the craze to sign up on Threads (only to sign out a week later).", Alberto Romero does the same for generative AI to explain "why it isn’t worth getting generative AI fatigue.After providing a potted timeline of the release of the major LLMs for th…

"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"

"AI-generated advice represents a huge shift"convenience: whereas a google search inundates you with results mixed with spam, splog and ads, "ChatGPT streamline this process... people choose convenience over almost anything else... [cf]Fogg’s behavior model: Behavior = Motivation × Ability × Prompt". With AI, it's finally …

"“Document Search Chatbot” ... field common questions (FAQ’s) based on the content of several documents.... Azure Search to extract and rank key highlights from a set of text documents based on a user query. This user query and Azure Search results are then passed to OpenAI to be interpreted and formatted into a chat based response..."Wh…

" a step-by-step guide for building a document Q&A chatbot in an efficient way with llama-index and GPT API... ask the bot in natural language about your own documents/data... [see it] retrieving info from the documents and generating a response [1]... customer support, synthesizing user research, your personal knowledge management"K…

"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…

This piece captures and then explores exactly what I've always thought about the future direction of myhub.ai: imagine what would happen if you had your own personal AI assistant operating across your content - your public posts, private library (including content shared from friends, stuff in your reading queue, etc.) and the wider web, emph…