You have to mainline info all the time because our information tools make you do so. Infinite scroll timelines, group chats with no beginning or end, recommender algorithms with no sense of place — all of them require constant vigilance to make sense of. We can do better.
Charlie Warzel
had a death in the family and was almost completely off the internet for a few days & my observation is that there is too much happening too fast such that basic facts abt the world are difficult to ascertain unless you are mainlining info all the time & doing that seems to drive people insane
Mar 2, 2026 at 10:39 PM
ChatGPT is smarter now that it's learned to forget - a huge memory upgrade is coming
The AI chatbot will remember what matters most and quietly let the rest fade
Claude carries memory into work - Sensemaker
Chat and cloud Cowork now share remembered topics; continuity improves, but so can the reach of a mistake.
Use Claude’s chat search and memory to build on previous context | Anthropic Help Center
You can prompt Claude to search through your previous conversations to find and reference relevant information in new chats. Claude can also remember context from your chats and carry it into new conversations and Cowork tasks. This article explains how chat search and memory work, what Claude does and doesn't remember, how to review and edit what's saved, and how to turn these features on or off.
The ChatGPT effect: In 3 years the AI chatbot has changed the way people look things up
ChatGPT has dramatically altered how people retrieve information, muscling aside Google search as the first stop on the hunt for answers.
The ChatGPT effect: In 3 years the AI chatbot has changed the way people look things up
ChatGPT has dramatically altered how people retrieve information, muscling aside Google search as the first stop on the hunt for answers.
(PDF) Hyperchat and Hypervideo: Enabling Real-time Groupwise Conversations at Unlimited Scale
PDF | This paper explores a novel Generative AI based communication technology called Conversational Swarm Intelligence (CSI) or simply Hyperchat AI. It... | Find, read and cite all the research you need on ResearchGate
Learning by Chatting? Investigating the Impact of Generative AI on Information Seeking and Learning
Generative AI (GenAI) tools offer increasing opportunities for augmenting human cognitive tasks. Among these tasks, information seeking is being rapidly reshaped by GenAI tools, with potentially profound implications for learning and knowledge acquisition. To investigate these implications, we conducted a between-subjects field experiment in which participants pursued informal learning by seeking information through either ChatGPT or Google Search over a span of 8 days. Using a daily diary protocol, we gathered in-situ data on their information-seeking processes. Our findings show that participants in the ChatGPT group experienced diminished agency in their information-seeking processes, as they offloaded much of the information selection to AI, and consequently experienced greater meta-cognitive load arising from this reduced sense of control. We further highlight two sources of distortion in information access when using ChatGPT: biases in ChatGPT outputs, particularly towards providing solution-oriented artifacts over principled knowledge; and systematic shifts in users' information-seeking behaviors, whereby the conversational and socially-oriented interaction paradigm of current GenAI tools may inadvertently reduce exploration of the broader knowledge space. As a result, on average, participants in the ChatGPT group had worse learning outcomes than those using Google, especially for higher-order critical learning. Our work suggests inherent tensions between offloading information seeking to AI and meaningful learning, and provides broader implications for understanding AI's risks to human cognition.
Learning by Chatting? Investigating the Impact of Generative AI on Information Seeking and Learning
Generative AI (GenAI) tools offer increasing opportunities for augmenting human cognitive tasks. Among these tasks, information seeking is being rapidly reshaped by GenAI tools, with potentially profound implications for learning and knowledge acquisition. To investigate these implications, we conducted a between-subjects field experiment in which participants pursued informal learning by seeking information through either ChatGPT or Google Search over a span of 8 days. Using a daily diary protocol, we gathered in-situ data on their information-seeking processes. Our findings show that participants in the ChatGPT group experienced diminished agency in their information-seeking processes, as they offloaded much of the information selection to AI, and consequently experienced greater meta-cognitive load arising from this reduced sense of control. We further highlight two sources of distortion in information access when using ChatGPT: biases in ChatGPT outputs, particularly towards providing solution-oriented artifacts over principled knowledge; and systematic shifts in users' information-seeking behaviors, whereby the conversational and socially-oriented interaction paradigm of current GenAI tools may inadvertently reduce exploration of the broader knowledge space. As a result, on average, participants in the ChatGPT group had worse learning outcomes than those using Google, especially for higher-order critical learning. Our work suggests inherent tensions between offloading information seeking to AI and meaningful learning, and provides broader implications for understanding AI's risks to human cognition.
Top 4 AI chatbot privacy concerns and how to mitigate them | TechTa...
Explore four key chatbot privacy concerns, as well as privacy protection strategies for individual users and organizations hoping to safeguard user data.
Dreaming: Better memory for a more helpful ChatGPT
ChatGPT introduces a new memory system to better remember preferences, keeping context fresh and relevant across conversations.
What Do We Really Know About the Back Button?
What Do We Really Know About the Back Button?
(PDF) The Loop and Reasons to Break It: Investigating Infinite Scrolling Behaviour in Social Media Applications and Reasons to Stop
PDF | Today's social media (SM) platforms are toolkits consisting of features with different use cases, some strongly related to habitual and regretful... | Find, read and cite all the research you need on ResearchGate
Limit - Social Bookmarks (@limitapp.bsky.social)
A purposefully constrained Bluesky client for #ios. It remembers your position in the timeline. #AI features - AI timeline, AI post explanation, AI article summarization App store: https://apps.apple.com/us/app/limit/id6748037680 And it’s open source.
OpenAI’s Sam Altman on Building the ‘Core AI Subscription’ for Your Life
