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Presidential AI Challenge
Presidential AI Challenge
(ChatGPT had an interesting take on this, although it is designed to tell the user what they want to hear. Also to a prompt like "What kinds of challenges might appeal to those that did not agree with the premises of this one, e.g. psychologically, philosophically, socially, academically, and so on?". Participants have to align with their own goals, in effect. Not all scientists are sold on AI as the answer either. Of course, if the idea is to innovate on the toolset, there are more dimensions to try than just Chatbot agents. The administration may be getting feedback on how well platforms adapt to the populace going into advanced efforts like Stargate. The cloud was a nice metaphor, but this stuff will likely look different going forward given machine learning and all. In the meantime, it may exploit experience, experiments, and experts Drizzle, Drazzle.)
#Event#Guidelines#Government
·ai.gov·
Presidential AI Challenge
Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence
Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence

ChatGPT Nerd summary outline excerpts: The rookies are getting squeezed first. AI’s wings may be clipped for the inexperienced. AI’s impact isn’t quietly nibbling salaries—it’s knocking roles off the board entirely. When AI replaces rather than complements work, that's when the shockwaves are felt strongest. This isn’t a fluke in Silicon Valley or Zoom land—it’s a broader shift. (On the bright side, spotting the problem set allows the expert to solve it on the board: "And then a miracle occurs." Of course, the canary would be entry level in this one so, if that isn't chirping, it may have gone multimodal. See The Emotion Machine. But, just as the generative AI pioneers are trying economies that are off the screen, sort of crypto-codex, the next wave could be doing something like that on the ground in their regions. Not a disaster, but a sign of things to come, post-Capitalism. It's all been approved. Molon labe.)

#Labor#Report#Paper#PDF#Economics
·digitaleconomy.stanford.edu·
Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence
How AI tools accelerate discovery and analysis in materials science
How AI tools accelerate discovery and analysis in materials science
(Seems useful for finding new substrates. Analysis deconstructs almost anything. Simulation and recombinaition discover alternatives. Trial and error still needed over time to fine-tune and adapt. Faster than life. Also a way to find patterns to match in nature somewhere. ET = emerging tech. Backtrack artifacts to philosophy of tech. Or global eegs. How measure Generative AI? And personal development, e.g. friends? ChatGPT seems to think that, given specs, it can suggest materials or find analogs. Still have predict fabrication feasibility point. Classification matrix: physical medium, information representation [also on Minsky's Causal Diversity Matrix], operational principle, task suitability, scalability, and energy efficiency. Again find revealed methods, e.g. versus analytic. They're going to need some more Entity guys... Pan-daimonion.)
#Materials#Science
·nanowerk.com·
How AI tools accelerate discovery and analysis in materials science
Wiener, N. (1960). Some moral and technical consequences of automation. Science, 131(3410), 1355–1358.
Wiener, N. (1960). Some moral and technical consequences of automation. Science, 131(3410), 1355–1358.
(The machine has also telescoped scientific time-scales to a minimum. Following Plato and Xenophon, an argument can be made for the intertextual sense of AI and ethics, particularly in light of the latest machine learning use of natural language and data. Or, cornily, ET phone Xeno.)
#Cybernetics#Ethics#History#Paper#PDF
·nissenbaum.tech.cornell.edu·
Wiener, N. (1960). Some moral and technical consequences of automation. Science, 131(3410), 1355–1358.
‘Billions of People a Day Will be Talking to ChatGPT’: OpenAI’s Sam Altman Says They’re On ‘A Clear Path’ To Beat Facebook in Traffic
‘Billions of People a Day Will be Talking to ChatGPT’: OpenAI’s Sam Altman Says They’re On ‘A Clear Path’ To Beat Facebook in Traffic
(Shades of SBF re FTX? The historical dialectic of power marches on alongside requisite attrition: rule of force, religion, law, economics, tech, and seemingly now, Generative AI. These things are eventually accepted, but STEM don't appear in court. Philosophers face nature directly, grasshopper. How much time does the Enlightenment have left? How will a Mars Constitution effect checks & balances?)
#ChatGPT#Datacenter#OpenAI#Forecasting#Infrastructure
·finance.yahoo.com·
‘Billions of People a Day Will be Talking to ChatGPT’: OpenAI’s Sam Altman Says They’re On ‘A Clear Path’ To Beat Facebook in Traffic
The AI Doomers Are Getting Doomier
The AI Doomers Are Getting Doomier
(ChatGPT was able to read and comment upon this article. Elsewhere, it was possible to setup the Chatbot voices for critical thinking, system analysis, or strategic analysis, going so far as to have Claude speak in radio comms briefings. Waiting on the cosmic codex.)
#Futurism#Criticism
·theatlantic.com·
The AI Doomers Are Getting Doomier