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If it would be possible to build artificial wet brains using human-like grown neurons, my prediction is that their thought will be more similar to ours. Because we believe our human minds are general purpose, we tend to believe that cognition does not follow the engineer’s tradeoff, that it will be possible to build an intelligence that maximizes all modes of thinking. A squirrel can remember the exact location of several thousand acorns for years, a feat that blows human minds away. Even as the society of minds in an AI become more complex, that complexity is hard to measure scientifically at the moment. Human minds are societies of minds, in the words of Marvin Minsky. Human intelligence is not in some central position, with other specialized intelligence revolving around it. I think a useful model of AI is to think of it as alien intelligence (or artificial aliens). Large language models (LLMs), like the GPT-4 model behind ChatGPT, and other large models are energy intensive and demand the processing power of specialized Graphics Processing Unit chips (GPUs).

In the realm of finance, AI algorithms can utilize the computational power of quantum computers to process and analyze vast amounts of data in real-time. And all of this information and dynamic possibility will be brought to you by the performance power of the supercomputers we're only now bringing to life. However, if we view intelligence as providing a large possibility space, there is no general purpose state. Consider extracting all minor data providing ‘signals intelligence’ and then combining it with Quantum AI, which could reveal intimate details about us individually, about our families, where we live and our health, among others and using them later on for fraudulent activities. To make quantum computing commercially viable, Microsoft and Quantinuum announced that Microsoft applied an error-correction algorithm that it wrote to Quantinuum's physical qubits, which has supposedly reduced data errors that were produced if the quantum computer is even slightly disturbed. Algorithms and AI can help us find patterns in data that we could never see before. But I see no evidence of that. But the flying we invented - propellers bolted to a wide fixed wing - was a new mode of flying unknown in our biological world.

The entire nervous system in our gut is also a type of brain with its own mode of cognition. In many cases they will be new, narrow, “small,” specific modes for specific jobs - perhaps a type of reasoning only useful in statistics and probability. We can certainly imagine, and even invent, a Swiss-army knife type of thinking. Some intelligences may be very complex, with many sub-nodes of thinking. The Hulk may be the Grandmaster’s (Jeff Goldblum) favorite champion, but he’s had other beloveds in the past, which he honors with massive busts on the outside of his palace. Some of the hardest problems in business and science may require a two-step solution. In other cases the new mind will be complex types of cognition that we can use to solve problems our intelligence alone cannot. With the help of advances in quantum technology, we will be able to create ultrafast quantum computers capable of solving problems that are far beyond contemporary computers, while AI will provide platforms for developing computers that can make medical diagnoses better than physicians, autonomous traffic systems, self-learning computers that outsmart human specialists, and robots that are capable not only of performing simple tasks, but also solving complex problems.

The second misconception about human intelligence is our belief that we have a general purpose intelligence. The costs of creating wetware is huge and the closer that tissue is to human brain tissue, the more cost-efficient it is to just make a human. I will extend that further to claim that the only way to get a very human-like thought process is to run the computation on very human-like wet tissue. These complexes we call intelligences might be thought of as symphonies comprising many types of instruments. The second question you might ask is: “Why do we only care about the read key? If the time to create a signature depends on the private key, then the private key can often be recovered by measuring how long it takes to create a signature. Several national competence centres have included quantum computing as a key emerging HPC technology, and are engaged in mentoring national stakeholders and working together on European activities for R&D and skills development. However, if you incorporate time, then you have to restate the principal in a significant way: Two computing systems operating on vastly different platforms won’t be equivalent in real time. “We have shown for the first time that quantum computing in the cloud can be accessed in a scalable, practical way which will also give people complete security and privacy of data, plus the ability to verify its authenticity,” said Professor David Lucas, Co-Head at the Oxford University Physics research team and Lead Scientist at the UK Quantum Computing and Simulation Hub.