Anthony Levandowski Reboots Church of AI
https://slashdot.org/story/23/11/23/1511203/anthony-levandowski-reboots-church-of-ai

I am a child of the 90s, 1989 til 2001 was my time, the fall of the Berlin Wall until the 9/11, everything seemed possible during this period. Fukuyama mentioned it "the end of history", and then 2001 was already "the end of the end of history".

Retrospectively, Fukuyama was wrong, and Huntington, "The Clash of Civilizations", was right. Maybe the 90s were just a hedonistic time in between, the exception of the rule.

True, technologically we do advance, at least incrementally, more processing power, more bandwidth, more data, bigger neural networks, more advanced network architectures, but cultural, philosophical? Did we, the Western sphere, already pass our peak and do degenerate?

- 1979 - Lyotard - The Postmodern Condition
- 1981 - Baudrillard - Simulacra and Simulation
- 1997 - Deutsch - The Fabric of Reality
- 1999 - Wachowskis - The Matrix

When I surf the meme-sphere out there, it seems to me that meanwhile the so called three poisons rule the world, hate, greed and delusion....

https://en.wikipedia.org/wiki/Three_poisons

...just thinking loud.

"Bioinks" Used To Print Living Brain Cell Networks

Bioprinted 3D neural networks are likely to be a promising platform for studying how nerves and nerve networks form and grow.

Homework for the part-time Luddites in here, add the Super-AI into the HANDY model from 2014 (based on the predator-prey model)....

https://www.sciencedirect.com/science/article/pii/S0921800914000615

https://www.theguardian.com/environment/earth-insight/2014/mar/14/nasa-civilisation-irreversible-collapse-study-scientists

“We were born into this time and must bravely complete the path that is destined for us. There is no other. To persevere at the lost post without hope, without salvation, is a duty. Endure like the Roman soldier whose bones were found outside a gate in Pompeii, who died because they forgot to relieve him when Mount Vesuvius erupted. That is greatness, that is having race. This honest end is the only thing that cannot be taken away from people.”

https://en.wikipedia.org/wiki/Man_and_Technics

https://de.wikipedia.org/wiki/Der_Mensch_und_die_Technik

We humans create currently the Super-AI, and people like to refer to the development of the atomic bomb, nobody knows how this all will play play out on a global scale (Fermi-effect?). Von Neumann worked on the concept of MAD, mutual assured destruction, the nuclear warfare deterrence concept, which prevented a WWIII with conventional weapons, and maybe there will be a new concept of MAD in context of Super-AI between the global blocs. Point is, the takeoff of the Technological Singularity is beyond human scope, by definition, it is a matter of Science-Fiction how a post TS-takeoff world will look alike. And, the current events on our globe are contradicting, on one side the eco-sphere and techno-sphere do collapse, we are running out of water and energy, on the other side, the Super-AI is boosting. I really do not know, how this, the ongoing ELE versus TS, will play out in the next 10, 20, 30 years. I guess I will read it in the news.

The AI competes already with humans for resources, water and energy, and, it seems we are running out of juice...do we have enough resources left for the TS to take off, or, did we enter already the ELE doom loop?

Elon Musk Predicts Electricity Shortage in Two Years
https://hardware.slashdot.org/story/23/07/31/0128257/elon-musk-predicts-electricity-shortage-in-two-years

"I can't emphasize enough: we need more electricity,"

"However much electricity you think you need, more than that is needed."

• Turing Test, https://en.wikipedia.org/wiki/Turing_test
• Lovelace Test, https://de.wikipedia.org/wiki/Turing-Test#Erweiterte_Konzepte
• Winograd Test, https://en.wikipedia.org/wiki/Winograd_schema_challenge
• Metzinger Test, https://epsilon.app26.de/post/gpt-3-scratching-at-the-edge-of-the-metzinger-test/
• Lemoine Test, https://epsilon.app26.de/post/turing-test-metzinger-test-lemoine-test/
• Suleyman Test, https://epsilon.app26.de/post/modern-turing-test-proposed/

...TS, it's here.

DeepMind Co-Founder Proposes a New Kind of Turing Test For Chatbots

Mustafa Suleyman, co-founder of DeepMind, suggests chatbots like ChatGPT and Google Bard should be put through a "modern Turing test" where their ability to turn $100,000 into $1 million is evaluated to measure human-like intelligence. He discusses the idea in his new book called "The Coming Wave: Technology, Power, and the Twenty-first Century's Greatest Dilemma." Insider reports: In the book, Suleyman dismissed the traditional Turing test because it's "unclear whether this is a meaningful milestone or not," Bloomberg reported Tuesday. "It doesn't tell us anything about what the system can do or understand, anything about whether it has established complex inner monologues or can engage in planning over abstract time horizons, which is key to human intelligence," he added. The Turing test was introduced by Alan Turing in tnewhe 1950s to examine whether a machine has human-level intelligence. During the test, human evaluators determine whether they're speaking to a human or a machine. If the machine can pass for a human, then it passes the test. Instead of comparing AI's intelligence to humans, Suleyman proposes tasking a bot with short-term goals and tasks that it can complete with little human input in a process known as "artificial capable intelligence," or ACI. To achieve ACI, Suleyman says AI bots should pass a new Turing test in which it receives a $100,000 seed investment and has to turn it into $1 million. As part of the test, the bot must research an e-commerce business idea, develop a plan for the product, find a manufacturer, and then sell the item. He expects AI to achieve this milestone in the next two years. "We don't just care about what a machine can say; we also care about what it can do," he wrote, per Bloomberg.

Tree of Thoughts: Deliberate Problem Solving with Large Language Models
https://arxiv.org/abs/2305.10601

Language models are increasingly being deployed for general problem solving across a wide range of tasks, but are still confined to token-level, left-to-right decision-making processes during inference. This means they can fall short in tasks that require exploration, strategic lookahead, or where initial decisions play a pivotal role. To surmount these challenges, we introduce a new framework for language model inference, Tree of Thoughts (ToT), which generalizes over the popular Chain of Thought approach to prompting language models, and enables exploration over coherent units of text (thoughts) that serve as intermediate steps toward problem solving. ToT allows LMs to perform deliberate decision making by considering multiple different reasoning paths and self-evaluating choices to decide the next course of action, as well as looking ahead or backtracking when necessary to make global choices. Our experiments show that ToT significantly enhances language models' problem-solving abilities on three novel tasks requiring non-trivial planning or search: Game of 24, Creative Writing, and Mini Crosswords. For instance, in Game of 24, while GPT-4 with chain-of-thought prompting only solved 4% of tasks, our method achieved a success rate of 74%.