The Seagull is tomorrow! Need to do my chores early and then prep. Getting there by 7:00am means leaving at 4:45 or so. Brrr!

The News Literacy Project is a nonpartisan education nonprofit building a national movement to create a more news-literate America.

SBIRs

• Need to talk to Aaron about getting the geopandas out of the base classes

GPT Agents

• Meetings are back on for 4:00 Wednesdays

Book

• Going to try to catch up to Brenda

BSO! Done

GPT Agents

• Got the user downloading working. Smooth, with no surprises!
• Write a class for creating corpora. It will take the settings from the UI and generate files with the appropriate wrapping
• New view that includes cluster exclusion True/False
• Dig up the code that produces percentage meta info

SBIRs

• Asked Loren and Rukan to keep their parts of the Overleaf up to date
• 9:15 standup
• Port Panda3d visualizer. Mostly done, but I’m having problems with objects being multiply defined. Turns out the setup() method was being called twice – Once when the class was instanced, once when the visualizer called setup() directly. Fixed.
• Start outlining update of AI & Weapons paper – nope
• Continue with Docker/Kafka tutorial – nope

Book

• 4:00 Meeting with Brenda – good progress

It has been raining since Saturday!

Nice interactive statistical power calculator

Somewhat similar to the way that Putin worked to consolidate the independent media because they mocked him, Trump is suing CNN for defamation:

SBIRs

• Get flights and hotel for SF
• Start figuring out RemoteController and the distributed SharedObjects
• Remote calls means getting Kafka running. Getting Kafka running means getting docker running as per here: Install Kafka using Docker | Learn Apache Kafka with Conduktor. So this is going to be a slog.

GPT Agents

• Write up status report – done
• Add export buttons (all, by keyword) – done
• Add User -specific checkmarks that include a notification that author download is separate – done

Collective intelligence for deep learning: A survey of recent developments

• In the past decade, we have witnessed the rise of deep learning to dominate the field of artificial intelligence. Advances in artificial neural networks alongside corresponding advances in hardware accelerators with large memory capacity, together with the availability of large datasets enabled practitioners to train and deploy sophisticated neural network models that achieve state-of-the-art performance on tasks across several fields spanning computer vision, natural language processing, and reinforcement learning. However, as these neural networks become bigger, more complex, and more widely used, fundamental problems with current deep learning models become more apparent. State-of-the-art deep learning models are known to suffer from issues that range from poor robustness, inability to adapt to novel task settings, to requiring rigid and inflexible configuration assumptions. Collective behavior, commonly observed in nature, tends to produce systems that are robust, adaptable, and have less rigid assumptions about the environment configuration. Collective intelligence, as a field, studies the group intelligence that emerges from the interactions of many individuals. Within this field, ideas such as self-organization, emergent behavior, swarm optimization, and cellular automata were developed to model and explain complex systems. It is therefore natural to see these ideas incorporated into newer deep learning methods. In this review, we will provide a historical context of neural network research’s involvement with complex systems, and highlight several active areas in modern deep learning research that incorporate the principles of collective intelligence to advance its capabilities. We hope this review can serve as a bridge between the complex systems and deep learning communities.

Tasks

• Chat with Dave tonight? – Need to send links to papers, OpenAI, Stable Diffusion thread, Paul Sharre’s books, etc

SBIRs

• Fill out reimbursement forms – done
• Travel to Chirp – tried in Concur. Hopeless mess
• More RCSNN2
• 9:15 standup
• Experiment logger meeting – done
• Reached out to Dr. Giddings on format of white paper

GPT Agents

• Change table_user to have user ID as unique, primary key and see if update into works right – done
• Add checkboxes for optional user attributes (requires downloading users for tweets)
• No meeting is scheduled, so write up a status report

Book

• Reading The History of Art Markets
• Pinged Dr. Barrett about sociotechnical authoritarians
• Ping Elsivier – done

Tasks

• BGE

SBIRs

• RCSNN 2?
• Write up some sort of trip report
• Reach out to folks from conference – done

Book

• Roll in Brenda’s Changes
• Ping Ryan for chapter/paper/article on authoritarians and sociotechnical systems

GPT Agents

• Get exclude coloring working
• Adding author information. It gets some location information

First, it’s October? Second, I need to change my definition of belief from talking about tables to talking about sandwiches:

Tokens are a Thing.