How and why we should build a national library of generative AI use cases and benchmark tests

Last update: Monday 6/9/25

Coding has rapidly become the most successful use case for Large Language Models. Models can now code so well that all Big Tech and many smaller companies are making drastic reductions in the size of their coding staffs. That's bad news ... for software engineers. 

The good news ... for experts in a wide range of other fields ... is that new employment opportunities are just over the horizon for computer savvy personnel who learn how to use generative AI to solve complex problems in their fields. So how can they learn these new skills? Click Here to read more ... 

GenAI Diary (page) ... Major AI Research Breakthroughs and Reasoning Models (2017–Early 2025)

Last update: Tuesday 4/29/25

Last week, Dario Amode, Anthropic's CEO, published a plea to his colleagues in the genAI community to join Anthropic’s quest to understand the inner workings of large language models. Amodei warned that genAI developers were building smarter models at a much faster pace than the pace at which their understanding was increasing of how these black box models really worked. Although Anthropic had recently mapped millions of neurons to specific concepts, this achievement must be measured against the billions of other neural clusters in their models for which Anthropic still has no understanding  

Podcast ... Using generative AI agents to make Signal a safe and secure administrative tool for all presidents ... Part 1, SignalGate

Last update: Wednesday 4/9/25 

Welcome to the 1st of a series of 4 podcasts about the Signal app. The series is called, "Using generative AI agents to make Signal a safe and secure administrative tool for all presidents". This first podcast answers some questions raised by our readers, friends, and associates about the issues addressed in the lengthy report that we posted last week, "SignalGate ... Alternative timelines of a leaky chat". This fiasco demonstrated how badly things can go when high level officials with insufficient training and insufficient technical support use a world class open source messaging app to discuss highly confidential subjects. ... The first section of this podcast is based on ChatGPT's succinct responses to a series of questions of concern to potential new users of Signal. What’s it all about? The second section is based on the chatbot's TL;DR summary of our lengthy report about the fiasco's double-hack. As usual, our podcast audio is a recording of the Descript app reading the chatbot's responses and summaries in an AI imitation of the voices of the editor of this blog and his AI colleagues.

Display transcript ➡ HERE

Audio podcast ...17min 

 

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SignalGate ... Alternative timelines of a leaky chat

Last update: Sunday 4/6/25

Here's the headline: House Democratic leader "Jeffries calls for firing Hegseth over war plans group chat", Nicholas Wu, Politico, 3/25/25 ... This blog note offers an alternative interpretation of what happened, an alternative that yields two recommendations that might minimize the chances of this happening again by putting GenAI agents on center stage.

TL;DR 12Oct24 + podcast ... Google's Demis Hassabis wins a Nobel prize for chemistry ... Google's Geoffry Hinton wins a Nobel prize for physics

Last update: Saturday 10/12/24 

Dr. Demis Hassabis (chemistry)

Dr. Geoffrey Hinton (physics}

Welcome to our 12Oct24 TL;DR summaries by ChatGPT (and the editor of this blog) + podcast of the past week's top 2 stories on our "Useful AI News" page. Last week, our top stories were all about OpenAI. This week our top stories feature Google, more specifically, the Nobel prizes that its current and former employees just received for their AI models. 

As usual, the podcast audio is a recording of the Descript app reading the TL;DR summaries in an AI imitation of the voice of the editor of this blog ... 1) Google's Demis Hassabis won a Nobel prize for chemistry and (2) Google's Geoffry Hinton won a Nobel prize for physics.

Audio podcast ... 6 min 

 

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... Podcast still in progress ..

TL;DR link ➡ HERE