LyrArc Article Gist
Anthropic's settlement for $1.5 billion at $3000 a book, and it's efforts in Education that conflict with the Nation's need to get 4th graders to Read and Learn. Anthropic's website shows it trying to get into Education and to measure the Economic Index from effects of AI. Yet the pretensions to goodwill for the public cause is not supported by facts, facts that the AI companies have nothing to show for the dismal situation for Global Literacy that is the case today. Literacy in the US that is dismal with about two thirds of 4th graders not able to read and comprehend the English language at a level of proficiency in American schools. These AI purveyors care only for the money they can make using vast amounts of electricity for these servers, and pretensions for public purpose are intended to smooth their access to public resources not some genuine interest in whether kids can read, which requires the hard work of the teachers in the public and private schools of this Nation and others in Europe, Asia, Latin America and Africa. The Movement for Global Literacy is Lyrarc's effort to support reading and learning and Lyrarc serves this purpose without such massive funding and without charging for the public service to the Nation and to other Nations in the world community. Anthropic settlement of $1.5 billion at $3000 a book for its AI bots use of copyrighted books, can lead to future litigation for OpenAI model that consumes vast amounts of data. Anthropic was founded by siblings Daniela and Dario Amodei after leaving OpenAI in 2021 in San Francisco. It hired Google Books Turvey to scan books for its large language models on a massive scale to train Claude its version of OpenAI's ChatGPT.  An investment of $4 billion by Amazon and additional $2 billion by Google provided funding. In this way it is a competitor to Microsoft funded OpenAI which made early advances in AI.  This article in WSJ says by making the settlement for $1.5 billion Anthropic is trying to make it harder for Open AI to scan material easily without paying for the access and thus blocking it's rival.   ...

LyrArc Article Gist
For two decades young computer specialists in their 30's have tried to say the right things to the American people to gain approval- with AI this is where it all ends. Watching Murthi and Altman on Stern's interview in WSJ one senses a lack of awareness that this is too big a technology to be handled by a few computerized work  specialists. Murthi says the right things with a faltering conviction, Altman lacks conviction, yet both cannot take on the responsibilities for AI on their shoulders. The chief technology officer of OpenAI takes over role of Interim CEO with the departure of Sam Altman. She graduated from the Thayer School of Engineering at Dartmouth. She worked at Tesla before joining OpenAI. Murthi was in charge of Operations, managing the teams that delivered ChatGPT product in 2022, and handling the relationship with Microsoft which invested $13 billion for a 49% stake in OpenAI.

LyrArc Article Gist
Surges in capital value can be wildly misleading. Nvidia a rapid computing company propelled in stock value. From the growth of crypto currency that led to losses and was perceived as a danger to the financial system by central banks and governments. This is happening when capital investment is a dire need in education and schools, good teachers and good classrooms, when only a third of American students pass NAEP tests on reading comprehension. Today's capital allocation system was never designed to accomplish this even as it sends hundreds of billions of dollars in one single day to a single company. Nvidia is now seeing a surge from chatbots computing coming out of ChatGPT,  leading to $184 billion change in its market value on May 25, 2023.  Nvidia was mostly a graphics processing company setup to make graphics on PC's look better. In 2006 Jensen Huang made the decision to open it up to developers to tinker with it and develop more computing capabilities. This has led to Nvidia designing much more powerful computing chips that perform thousands of calculations at the same time.   Nvidia designs the chips and sends production out to Taiwan Semiconductor Manufacturing. Suddenly Nvidia sees its share price surge and it joins companies such as Apple, Amazon, Microsoft, and Tesla that have seen one day surge in the value of the companies by over $100 billion shown in this WSJ graph by date. Huang says he thinks that this is the beginning of a ten year period in which companies will redo their data centers to build them up with AI computing capabilities. WSJ also says China's top nuclear weapons research institute has bought these advanced chips even though it is on a US export blacklist since 1997. In 2022 the Biden administration imposed new licensing requirements on export of the most advanced chips. Since then Nvidia is following specifications for chips that allow it to export to China, says the WSJ.     ...