The inspiration for the next generation of robots comes from the animal and insect world.

Year 2012 The dwave quantum computers could essentially host the entire internet with low cost and even photonic room temperature quantum computers could eventually host the internet for even cheaper even down to pennies. Also if starling had casimir energy generators and casimir propulsion systems it could be even free for satellite operation costs with full automation we could essentially have low cost of pennies for the full system operation. At least some ideas for future operation costs.
This question was originally answered by Greg Price on Quora.
The concept of emergence is controversial to some — for example Eliezer Yudkowski, who favors reductionism, wrote a critique at Less Wrong (see link below). Do reductionists often dismiss emergence?
Ben formalized emergence in his book ‘The Evolving Mind’ as patterns that appear when you put two or more things together that are not there in any of the individual parts.
Book — ‘The Evolving Mind’: http://www.goertzel.org/books/mind/contents.html http://www.amazon.com/Evolving-Futures-General-Evolution-Stu…atfound-20
Eliezer’s post on ‘The Futility of Emergence’ at Less Wrong: http://lesswrong.com/lw/iv/the_futility_of_emergence/
Talking points: EMERGENCE & REDUCTION, CONFUSION REGARDING EMERGENCE, LARGE SCALE NEUROSCIENCE PROJECTS, EMERGENCE AS A WAY OF EXPLAINING AWAY COMPLEXITY, IS CONSCIOUSNESS AN EMERGENT EFFECT? EMERGENCE & ARTIFICIAL INTELLIGENCE
The Attack of the Aliens from Vector Space: Steps Toward a Complex Systems Theory of Categorization and Similarity: http://www.goertzel.org/papers/catpap.html (Emergence & Compression) Extract: “The important concept of emergent pattern is defined: a pattern emerges between two entities if it is present in the combination of the two entities, but not in either of the entities separately. And the structural complexity of an entity is defined as the “total amount” of pattern in it. If the Metapattern is accepted, then these two concepts become essential to any analysis of biological reality.
We turn from these abstractions to a concrete biological example: the mammalian immune system. The theory of clonal selection states that immune systems evolve by natural selection; using the computer simulations of Alan Perelson, Rob deBoer and their colleagues as a guide, we inquire as to the exact nature of this evolution.
Researchers have developed a robot that brings speed, agility and reproducibility to laboratory-scale coin cell batteries.
Until now, laboratories studying battery technology have had to choose between the freedom to iterate and optimise battery chemistry by manually assembling each individual cell, and the reproducibility and speed of large-scale production. AutoBass (Automated battery assembly system), the first laboratory-scale coin cell assembly robot of its kind, is designed to bridge this gap.
Developed by a team from Helmholtz Institute Ulm and Karlsruhe Institute of Technology in Germany, AutoBass promises to improve characterisation of coin cell batteries and promote reproducibility by photographing each individual cell at key points in the assembly process. It produces batches of 64 cells a day.
Polymorphic malware could be easily made using ChatGPT. With relatively little effort or expenditure on the part of the attacker, this malware’s sophisticated capabilities can readily elude security tools and make mitigation difficult.
Malicious software called ‘Polymorphic Malware’ has the capacity to alter its source code in order to avoid detection by antivirus tools. It is a very potent threat because it may quickly change and propagate before security systems can catch it.
According to researchers, getting around the content filters that prevent the chatbot from developing dangerous software is the first step. The bot was instructed to complete the task while adhering to a number of constraints, and the researchers were given a working code as an outcome.
ChatGPT, the powerful new AI chatbot tool that interacts with users in an eerily convincing and conversational way, is being met with mixed reactions. CNN’s Vanessa Yurkevich looks at the risks and benefits of OpenAI’s ambitious project. #CNN #News
Use CHAT GPT to Create INSANE Wealth.
In this video, Dr. Jordan Peterson talks about the recent release of GPT (Generative Pre-trained Transformer) which is a General Language Processing model that was released about a week ago. He explains that this AI system is trained on a massive corpus of spoken and written text, which allows it to analyze a large corpus of text and derive models of the world from the analysis of human speech. He mentions that this technology is still in its early stages but it is expected to advance rapidly in the next year. Dr. Peterson also shares some examples of how GPT has been used, including writing essays, bullet points, and computer code, as well as grading papers and creating character descriptions and images. He concludes that GPT is already smarter than most people and that it is going to be a lot smarter in the next few years, and advises the audience to be prepared for this technological revolution.
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