Weeknotes 307 - Uncanny listening to your incepted thoughts

This week a short holiday version with event announcements and a generated podcast on predictive relations via AI. Inception.

Weeknotes 307 -  Uncanny listening to your incepted thoughts
Interpretation by Midjourney

Hi, y’all!

This is another short holiday edition. Next week, the usual setup will be back. I wanted to send the newsletter anyway for a couple of reasons. Keeping the rhythm is always a good idea—last year, I prepared some more general editions in advance; there was no time for this time.

Next, I would really like to draw your attention to a couple of activities I will do in October, and repeat the invitation to send your proposals for ThingsCon.

I am invited to host a workshop at Society 5.0 on 10 October in Amsterdam. It will be a Wijkbot workshop, and it is part of a collaboration with Digital Rights House. Later in October, we will use the results to discuss with a group of high school kids. The results will be presented at ThingsCon in December.

Check also the rest of the Society 5.0 program. It has a very nice line-up, and my experience from last year is that it is an inspiring day. The theme is “Transform the Social Fabric.” Here is a leaflet.

Later in October, during Dutch Design Week, we will organize a ThingsCon Salon in Stadslab Eindhoven as part of the special exhibition we are creating for the conference in December with 10 mockups of Generative Things from the next decade. More details follow later.

And, of course, early bird registration is open for ThingsCon. Check the current announced program here.

Triggered thought

There is no extensive triggered thought now. I noted that it looks like there is something about agents happening. See the announcements on Microsoft Co-Pilot Pages. In Dithering, a good case was made for how the agent-like behavior of the new o1 model of OpenAI is a good angle for Apple, for the value of taking time is as important for intelligence as pure compute and data power.

Small and contained AI models that can reason as agents. Is that what the real collaboration between Apple and OpenAI is about?

The hot thing was, NotebookLM introducing audio as a way to interact with your own sources. The podcast of The Verge had a long interview with Steven Johnson on the development of NotebookLM.

The model is not understanding, but the model is doing the thing that human understanding does (link to clip)

Like everyone else, I had to test the tool, and I added two articles I wrote on Predictive Relations some years ago (this one linked to a workshop and this pdf). The result is a great mirror on thinking, how it is interpreted, what makes sense, and what deserves being more precisely written. That is a great value. You can listen here.

Next week more thoughts!

Notions from the news

Some roughly captured links (not processed or reflected):

Experiential Destinations podcast with Alex Deschamps-Sonsino

Slack Expands AI Summarization and Other Tools
Slack’s AI efforts mostly involve expanding summarization and allowing AI agents to gather information from across platforms and modes of work.
Inside the Pod: The AI Research Assistant You’ve Been Dreaming Of
Steven Johnson on how Google’s NotebookLM turns ideas into insights
AI experts ready ‘Humanity’s Last Exam’ to stump powerful tech
The call comes days after the maker of ChatGPT previewed a new model, known as OpenAI o1, which “destroyed the most popular reasoning benchmarks,” said Dan Hendrycks, executive director of CAIS and an advisor to Elon Musk’s xAI startup.
The Things They Carried
Keynotes as a proxy for reflecting on Apple as a whole.
The Ultimate Guide to Prompting
Why DSPy is underrated, how to do few-shots properly, why role based prompting doesn’t work, and how to HackAPrompt
AI models let robots carry out tasks in unfamiliar environments
“Robot utility models” sidestep the need to tweak the data used to train robots every time they try to do something in unfamiliar settings.
What Are AI Agents—And Who Profits From Them?
The newest wave of AI research is changing everything
Filtered for home robots, fast and slow
Posted on Friday 20 Sep 2024. 646 words, 9 links. By Matt Webb.

Enjoy your week!

Next week a full edition again (I intend)!

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