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I ve been quite impressed so far. And, if they can be improved over night i would love to see it.

With long-term memory, language models could be even more specific – or more personal. MemoryGPT gives a first impression.

Right now, interaction with language models refers to single instances, e.g. in ChatGPT to a single chat. Within that chat, the language model can to some extent take the context of the input into account for new texts and replies.

Continue reading “MemoryGPT is like ChatGPT with long-term memory” »

Fascinating proposal for methodology.

Models are scientific models, theories, hypotheses, formulas, equations, naïve models based on personal experiences, superstitions (!), and traditional computer programs. In a Reductionist paradigm, these Models are created by humans, ostensibly by scientists, and are then used, ostensibly by engineers, to solve real-world problems. Model creation and Model use both require that these humans Understand the problem domain, the problem at hand, the previously known shared Models available, and how to design and use Models. A Ph.D. degree could be seen as a formal license to create new Models^[2]. Mathematics can be seen as a discipline for Model manipulation.

Continue reading “The Red Pill of Machine Learning” »

In an advance they consider a breakthrough in computational chemistry research, University of Wisconsin–Madison chemical engineers have developed model of how catalytic reactions work at the atomic scale. This understanding could allow engineers and chemists to develop more efficient catalysts and tune industrial processes—potentially with enormous energy savings, given that 90% of the products we encounter in our lives are produced, at least partially, via catalysis.

Catalyst materials accelerate chemical reactions without undergoing changes themselves. They are critical for refining petroleum products and for manufacturing pharmaceuticals, plastics, food additives, fertilizers, green fuels, industrial chemicals and much more.

Scientists and engineers have spent decades fine-tuning catalytic reactions—yet because it’s currently impossible to directly observe those reactions at the extreme temperatures and pressures often involved in industrial-scale catalysis, they haven’t known exactly what is taking place on the nano and atomic scales. This new research helps unravel that mystery with potentially major ramifications for industry.

Researchers have discovered that in the exotic conditions of the early universe, waves of gravity may have shaken space-time so hard that they spontaneously created radiation.

The physical concept of resonance surrounds us in everyday life. When you’re sitting on a swing and want to go higher, you naturally start pumping your legs back and forth. You very quickly find the exact right rhythm to make the swing go higher. If you go off rhythm then the swing stops going higher. This particular kind of phenomenon is known in physics as a parametric resonance.

Continue reading “Physicists Discover that Gravity Can Create Light” »

Origami robots are autonomous machines that are constructed by folding two-dimensional materials into complex, functional three-dimensional structures. These robots are highly versatile. They can be designed to perform a wide range of tasks, from manipulating small objects to navigating difficult terrain. Their compact size and flexibility allow them to move in ways that traditional robots cannot, making them ideal for use in environments that are hard to reach.

Another notable feature of origami-based robots is their low cost. Because they are constructed using simple materials and techniques, they can be produced relatively inexpensively. This makes them an attractive option for many researchers and companies looking to develop new robotics applications.

There are many potential applications for origami robots. They could be used in search and rescue missions, where their small size and flexibility would allow them to navigate through rubble and debris. They could also be used in manufacturing settings, where their ability to manipulate small objects could be put to use in assembly lines.

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Continue reading “Resting Heart Rate, Heart Rate Variability: Is Q1 2023 Better Than 2022?” »

Retrocausality, a mind-blowing quantum concept, proposes that future events impact the past. Challenging time’s traditional flow and exploring interconnected temporal relationships. Can the universe communicate with its past-self?

0:00 What is Retrocausality?
00:55 The Layers of the Universe.
02:17 The Universe Is Not Real.
04:32 The Role of Quantum Entanglement.
08:02 Does Time Travel Explain the Mysteries of the Universe?

Continue reading “Why Physicists Think The Future Changes the Past — Retrocausality Explained” »

And exploration of the Vulnerable World Hypothesis solution to the Fermi Paradox.

And exploration of the possibility of finding fossils of alien origin right here on the surface of the earth.

Continue reading “Fermi Paradox: The Vulnerable World Hypothesis” »

As chatbots like ChatGPT bring his work to widespread attention, we spoke to Hinton about the past, present and future of AI.

CBS Saturday Morning’s Brook Silva-Braga interviewed him at the Vector Institute in Toronto on March 1, 2023. #ai #interview #artificialintelligence #GeoffreyHinton #machinelearning #future