Some teems build system that make LLM models work in team

GPT4 With Reflexion Has a Superior Coding Score | NextBigFuture.com

A slightly improved Reflexion-based GPT-4 agent achieves state-of-the-art pass@1 results (88%) on HumanEval, outperforming GPT-4 (67.0%) and CodeT: Code

www.nextbigfuture.com

or like your inner voice.

Some even made a society like Sim's

Generative Agents: Interactive Simulacra of Human Behavior

Believable proxies of human behavior can empower interactive applications ranging from immersive environments to rehearsal spaces for interpersonal…

arxiv.org

LLM are maybe the bricks of something new

Quote from stefan

No the actor would not be able to have that conversation!

If Dr Fox had access to the internet, and had computer-like speed, he could very easily carry on the conversation.

Quote from Wyttenbach

This is all correct if you believe that physics is made of points that produce fields. further you must believe that the 4-Potential can be used for particles... What is obvious nonsense as it does not contain the strongest field = magnetic moment.

Even worse: Any use of E=mc² in a field equation is physical nonsense as mass does not act field like - not even the electron. The e +/- annihilation does not follow symmetric waves (Y,Y*) it follows a 3 wave structure.

So the fake AI tools GPT just repeats old fake....

The Dirac equation is the biggest fail in physics history!

Display More

Actually from my discussion I think you can realize that what you are saying may very well be right. In principle the DIrac equation is an infinite number of equations where one for each direction of the spin. So it is a specially made equation for essentially one pattern of a special case. A projection come to my mind. To see the problem consider modelling a system of particles where the spinn are along different axcis and they can interact. It should then be obvious that something is missing as this is impossible using the DIrac formulation.

I found a company that installs a dedicated local version of ChatGPT onto a website. The website operator uploads documents to this dedicated version, and it answers questions from that data only. I think that is how it works. I do not think it goes to outside sources.

The company is here:

ChatFast - Create GPT chatbot from your own data

Pricing is here:

Pricing | ChatFast

I tried the $0 free evaluation version. It has limited capabilities. I can only upload one paper to it, in text format only. I can only ask 6 questions per day. So I uploaded McKubre's paper, "Cold Fusion (LENR) One Perspective on the State of the Science." I asked it 6 questions. The answers are better than what you get from talking to the public version of ChatGPT.

It has some quirks. It generated several questions and answers spontaneously (marked below). It answered most questions by directly quoting the paper.

It looks to me like the biggest problem would be the cost. Even the $250 per month version may not have the capacity to store all of the LENR-CANR.org files. That's way more than I am willing to pay. The pricing is strange. The $60/month version has "30 chatbots" with "3,000,000 characters/bot." That's 90 MB of text. The $250/month version stores 300 MB of text. Text only; it does not store images. That greatly reduces file sizes. The JCMNS Vol. 36 is 87.6 MB in .pdf format, but only 1.2 MB in text format. However, there are 1,168 documents so I doubt that 90 MB or even 300 MB would be enough.

This will probably have to wait until cheaper utilities become available. There is a long technical article describing how to do this yourself. I think you still have to pay OpenAI for their "tokens." I do not think I am capable of following these instructions. It would take me weeks to figure this out:

How To Build Your Own Custom ChatGPT With Custom Knowledge Base

Step-by-step guide on how to feed your ChatGPT bot with custom data sources

betterprogramming.pub

Anyway, here is the transcript of my questions about the McKubre paper. This was the only document on file. It would be interesting to see how it responds when there are multiple documents and data sources.

ChatFast responses after uploading text from:

McKubreMCHcoldfusionb.pdf

Hello! What can I do for you today?

What was the average loading of Pd at MIT?

The average loading ratios were found to be 0.75±0.05 and 0.78±0.05 for the D and H loaded cathodes, respectively, according to Albagli et al [7] from MIT.

[The next several questions were spontaneously generated by ChatFast, not me.]

Q: What is the FPE?

A: The FPE refers to the Fleischmann-Pons Effect, which is the observation of excess heat production during the electrolysis of heavy water on palladium electrodes.

Q: What is the loading ability of Engelhard Lot #1?

A: Engelhard Lot #1 demonstrated in an astonishing 32% of all experiments a maximum loading 0.95>D/Pd>1.0, with 36% 1.00>D/Pd>1.05, and 14% (3 cathodes) > 1.05. An electrode capable of attaining and maintaining high loading is an electrode that is capable of producing excess heat.

Q: What is the SuperWave™?

A: The SuperWave™ is a fractal sinusoid current stimulus designated by Energetics in their experiments.

Q: What is the Science of Low Energy Nuclear Reactions?

A: The Science of Low Energy Nuclear Reactions is a book by E. Storms that discusses the phenomenon of low energy nuclear reactions, including the Fleischmann-Pons Effect.

Q: What is the origin of the irreproducibility in the matrix experiment?

A: Trace impurity differences were observed to be contributory and there were two sets: deleterious impurities (poisons) that were learned to avoid; impurities that were beneficial to high loading in controlled amounts. The second major factor of experiment variability is the palladium metal cathode: source and condition.

Q: What is the context of this conversation?

A: The context of this conversation is the Fleischmann-Pons Effect and related experiments and research conducted at SRI and other institutions.

[End of spontaneous questions.]

What is the highest loading reported in the literature?

I'm sorry, I cannot find information on the highest loading reported in the literature. Please provide more specific details or a different question related to the data provided.

What is the lowest loading ratio at which excess heat is reported?

[ID] [Some sort of error code?]

What is typical initiation time for a cold fusion experiment?

According to the data provided, a typical initiation time for a cold fusion experiment is around 300 hours. However, it is important to note that the durations of the experiments were wholly insufficient for a typical initiation time in some of the cited studies.

What were some of the "unserious" efforts to correlate experimental results?

According to the data provided, in the early days of studying the Fleischmann-Pons Effect (FPE) at SRI, flippant and intentionally unserious attempts were made to correlate the appearance of positive FPE results with the record (or existence) of university football teams and with national character. However, it is important to note that serious criticisms do exist regarding the reproducibility of the experiments.

Summarize experiments at ENEA.

[These are mostly direct quotes from the paper. That's okay. It would be helpful for people looking for ENEA experiments.]

According to the data provided, ENEA conducted comparative studies on materials of similar general form, specifically Pd foils 80 mm long, 7 mm wide and 50 µm thick. The studies were conducted in collaboration with the Violante team of ENEA (Frascati) and the Energetics team of Dardik, Lesin et al. The experiments at ENEA used a closed-cell mass flow calorimeter and were performed independently of experiments at SRI. The results obtained from the same material lots performed independently at ENEA and SRI were compared in Figure 3. The different lots of materials reflect different sources, rolling and annealing conditions and are designated by the ENEA “L” number, L14, 15, 16, 17 etc on the horizontal axis. The general point is that the same lot type of material will give the same approximate level of excess power result in two different laboratories. There is a consistency of behavior, and that behavior varies very much with the lots. The lot numbers without points in Figure 3 produced no excess power at SRI or ENEA (although all lots were not tested at both locations)."""

At the top of every page at LENR-CANR.org there is a "Google™ Custom Search finds files at LENR-CANR only." You can see what it does from any browser, with a query like this, beginning "site:LENR-CANR.org." For example:

site:LENR-CANR.org What is typical initiation time for a cold fusion experiment?

The results are similar to ChatGPT's response, which was:

According to the data provided, a typical initiation time for a cold fusion experiment is around 300 hours. However, it is important to note that the durations of the experiments were wholly insufficient for a typical initiation time in some of the cited studies.

ChatGPT is easier & faster. With the Google search you have to do your own homework, but on the other hand, it gives you the sources right there.

site:LENR-CANR.org Summarize experiments at ENEA

or

site:LENR-CANR.org "experiments at ENEA"

. . . come up with a long list of papers.

I conclude that the local copy of ChatGPT is better than the local copy of Google search, but not tremendously better. Not worth $250 a month. (The people at ChatFast.io offered to negotiate that price with me.)

AI-Descartes, an AI scientist developed by researchers at IBM Research, Samsung AI, and the University of Maryland, Baltimore County, has reproduced key parts of Nobel Prize-winning work, including Langmuir’s gas behavior equations and Kepler’s third law of planetary motion. Supported by the Defense Advanced Research Projects Agency (DARPA), the AI system utilizes symbolic regression to find equations fitting data, and its most distinctive feature is its logical reasoning ability. This enables AI-Descartes to determine which equations best fit with background scientific theory. The system is particularly effective with noisy, real-world data and small data sets. The team is working on creating new datasets and training computers to read scientific papers and construct background theories to refine and expand the system’s capabilities.

The name AI-Descartes is a nod to 17th-century mathematician and philosopher René Descartes, who argued that the natural world could be described by a few fundamental physical laws and that logical deduction played a key role in scientific discovery.

Fig. 3: System overview.

Colored components correspond to our system, and gray components indicate standard techniques for scientific discovery (human-driven or artificial) that have not been integrated into the current system. The colors match the respective components of the discovery cycle of Fig. 2. The present system generates hypotheses from data using symbolic regression, which are posed as conjectures to an automated deductive reasoning system, which proves or disproves them based on background theory or provides reasoning-based quality measures.

Combining data and theory for derivable scientific discovery with AI-Descartes - Nature Communications

Automatic extraction of consistent governing laws from data is a challenging problem. The authors propose a method that takes as input experimental data and…

www.nature.com

It might be very useful if it can derive theories devoid of human ego and politics!

Quote from Alan Smith

The name AI-Descartes is a nod to 17th-century mathematician and philosopher René Descartes, who argued that the natural world could be described by a few fundamental physical laws and that logical deduction played a key role in scientific discovery.

This one is really impressive.It may have much more LENR usefullness. I also see Descartes as a fitting name as this one is much closer to thinking. “I think, therefore I am”.

I set up two customized ChatGPT chatboxes for LENR-CANR.org. They access data from LENR-CANR.org only, not the rest of the internet. Unfortunately, the utility program I am using can only index a handful of papers, so these are temporary. They are experimental. You can see how ChatGPT will work as a search and index system for one website in the future.

I put the chatboxes on this page:

Test of ChatGPT access to LENR-CANR.org documents

(I did not put this in the menu system, so you can only access it directly from that link.)

This page lists the documents I indexed, and shows some sample enquiries.

Go ahead and play around with this if you like. It is limited to 600 enquiries per month, so please do not enter dozens of enquiries.

Here is an exchange with Chatbot 1, which holds one of McKubre’s papers, plus part of the ASCII Bibliography, authors A through C. That's the most it can hold.

You can see that it does not answer some of the questions. The ASCII Bibliography has abstracts by Czerwinski, so it should have found them. Perhaps the format is not organized well enough for ChatGPT to sort out what goes with what. Yesterday, I asked it a question from the McKubre paper that it answered correctly, but for some reason it could not find the answer today. The question was: "What is typical initiation time for a cold fusion experiment?" For some reason, it came up with "500 hours." I do not know where that came from.

Hello! What can I do for you today?

Have neutrons been observed with natural hydrogen?

Yes, neutrons have been observed with natural hydrogen in cold fusion experiments. This was reported in a review of the most convincing observations of neutrons in Cold Fusion history up to recent experiments in which neutrons were so numerous and long lasting so as to allow activation of thermal detectors.

What authors described neutrons with natural hydrogen?

There is no information in the provided data about authors describing neutrons with natural hydrogen.

What papers were presented at ICCF5?

There is no information in the provided data about papers presented at ICCF5.

Summarize work by Czerwinski.

There is no information in the provided data about work by Czerwinski.

What information is there about the screening effect?

There is information in the provided data about the screening effect. The screening energy dependence on target material has been established experimentally and theoretical calculations have been performed within an improved dielectric function theory. The theory describes correctly the observed target material dependence of the screening energies, underestimating, however, the absolute values by about a factor of 2. The electron screening effect has been enhanced for d + d fusion reactions in metallic environments. The dielectric function theory enables an extrapolation of experimental cross sections determined at higher energies down to room temperature, leading to an enhancement of the fusion reaction rates by a factor of 1040 compared to the value predicted for the deuterium molecule.

What authors described the screening effect?

Authors who described the screening effect include Czerski, Heide, Huke, Cuevas, Fernandez, Sanchez, Cunnane, Scannell, Schiffrin, Biller, Hoeft, Ruprecht, Chen, Wang, Li, Fu, Zhang, Chicea, Arista, Gras-Marti, and Baragiola.

What is typical initiation time for a cold fusion experiment?

The provided data does not give a specific answer to the question about the typical initiation time for a cold fusion experiment. However, it does mention that the duration of the switch-on time and whether a given electrode will commence to show nuclear activity within 500 hours of the beginning of electrolysis remain unclear.

Is there any mention of author Gary Taubes in this dataset?

Yes, there is mention of journalist Gary Taubes in the provided data. He wrote an article in Science about electrodes and there is a paper by J. Bockris titled "The Answer to the Conundrum at Texas A & M: Accusations of Fraud in an Article Published by 'Science'" which may be related to Taubes' article.

Why does McKubre think doubts still exist in the broader scientific community?

According to the provided data, McKubre believes that doubts still exist in the broader scientific community regarding Low Energy or Lattice Enhanced Nuclear Reactions (LENR) because it is crucial and timely to expose and elaborate what objections or reservations exist with regard to these new understandings. He also believes that it is important to clarify in non-specialist terms what is known and what is understood in the general field of LENR.

What does McKubre say about initiation time?

The provided data does not give a specific answer to the question about initiation time. However, it does mention that the duration of the switch-on time and whether a given electrode will commence to show nuclear activity within 500 hours of the beginning of electrolysis remain unclear.

What level of loading did Fleming describe?

The provided data states that Fleming et al from Bell Labs reported even lower loading results in a negative report, but it does not provide a specific number for the loading level described.

A New Approach to Computation Reimagines Artificial Intelligence

Despite the wild success of ChatGPT and other large language models, the artificial neural networks (ANNs) that underpin these systems might be on the wrong track.

For one, ANNs are “super power-hungry,” said Cornelia Fermüller, a computer scientist at the University of Maryland. “And the other issue is [their] lack of transparency.” Such systems are so complicated that no one truly understands what they’re doing, or why they work so well. This, in turn, makes it almost impossible to get them to reason by analogy, which is what humans do — using symbols for objects, ideas and the relationships between them.

Such shortcomings likely stem from the current structure of ANNs and their building blocks: individual artificial neurons. Each neuron receives inputs, performs computations and produces outputs. Modern ANNs are elaborate networks of these computational units, trained to do specific tasks.....continues...

A New Approach to Computation Reimagines Artificial Intelligence | Quanta Magazine

By imbuing enormous vectors with semantic meaning, we can get machines to reason more abstractly — and efficiently — than before.

www.quantamagazine.org

Okay, I went ahead and added a third ChatBox to the page:

Test of ChatGPT access to LENR-CANR.org documents

This one has the first 381 pages of JCMNS Vol. 36, Proceedings of the 23rd International Conference on Condensed Matter Nuclear Science (http://lenr-canr.org/acrobat/BiberianJPjcondensedzi.pdf). Unfortunately, the entire volume does not fit in one ChatBox. As I wrote on the page, I suggest you load that volume and frame a question based on the contents. You will see that ChatGPT's capabilities are remarkable. Here is a sample exchange:

Quote

ME: When and where was ICCF-23 held?

Quote

ChatGPT: ICCF-23 was held virtually from Xiamen, China on June 9-11, 2021 due to the worldwide COVID-19 pandemic and related travel restrictions.

Quote

ME: Who was the conference chair of ICCF23?

Quote

ChatGPT: The ICCF-23 Conference Chair was Prof Zhong-Qun Tian of Xiamen University, with vice chair Profs Kang Shi and Han-Tao Zhou from Xiamen University and Prof Wu-Shou Zhang from the Institute of Chemistry of the Chinese Academy of Sciences.

You see it understands "ICCF23" without the hyphen.

Here is a more technical exchange, that I featured on the page:

Quote

ME: What kinds of tests have been done with the LEC device?

Quote

ChatGPT: The Fe-H LEC cells have been characterized following the same procedures used for Pd-H LEC cells including tests in air as well as in hydrogen. A typical LEC cell test consists of several steps. The cell is placed in an electric kiln at laboratory temperature that is instrumented with one or more thermocouples. The LEC electrodes are connected to a high input impedance DVM (~1000 M ) with the WE positive and the CE negative. A variable resistance box is connected between the electrodes with a nominal starting resistance of 1 M. The DVM is connected to a digital computer via an optical USB connection and the recording sample rate is set at 2 S/s. The kiln is powered by a variable voltage auto-transformer that is started at a low voltage setting and intermittently raised. LEC voltage and kiln temperature are recorded, and variable resistance load tests are performed occasionally in order to characterize LEC performance, i.e., LEC voltage versus load resistance at selected LEC operating temperatures.

The version of ChatGPT at LENR-CANR.org was loaded with the papers listed on that page, so it can answer questions about those papers. It cannot answer questions about other subjects. For example:

Quote

ME, at LENR-CANR.org: When was the Great Eastern ocean liner launched?

Quote

ChatGPT: I'm sorry, I don't have any information on the launch date of the Great Eastern ocean liner. My area of expertise is in cold fusion research. Is there anything related to that topic that I can assist you with?

Note that I did not tell it the area of expertise is cold fusion research! It figured that out by itself.

The public version of ChatGPT knows all about the Great Eastern. Here is how it answered that question:

"The Great Eastern ocean liner was launched on January 31, 1858. It was designed by Isambard Kingdom Brunel, and at the time of its launch, it was the largest ship ever built, measuring 692 feet (211 meters) in length and weighing 18,915 tons. The Great Eastern was initially intended to be a passenger liner for transatlantic voyages, but it was also used for laying the first successful transatlantic telegraph cable in 1866."

AI this morning.

Note that one position of Yann Lecun is that AI today don't have the common sense of a cat.

He also noticed that you don't need to be more intelligent to lead others. Cats are mastering Humans since long and are not more intelligent

Dogs have masters. Cats have staff.

As reported by Vice, ChaosGPT — that autonomous, open-source AI agent tasked to "destroy humanity," among other grandiose goals — is still working hard to bring about the end of our species, albeit with its efforts focused on a new plan of attack.

To recap, ChaosGPT's first go at ending our species didn't quite work out. It couldn't find any nukes, the bot's natural first go-to for destroying the world, and when it tried to delegate some tasks to a fellow autonomous agent, that other — peaceful — agent shut ChaosGPT down. The last time we checked in, it had only really gotten as far as running some weapons-seeking Google searches and a few less-than-convincing tweets.

But ChaosGPT, importantly, runs on continuous mode, meaning that it's programmed to keep going until it achieves whatever goal it's been given. As such, the bot is still kicking, with a new plan of execution to show for it.

"I believe that the best course of action for me right now would be to prioritize the goals that are more achievable," read the bot's new "thinking," as can be seen in a new video posted to the ChaosGPT (presumably by the program's creator, not actually by the bot itself.)

"Therefore," it continued. "I will start working on control over humanity through manipulation."

Quote from Alan Smith

As reported by Vice, ChaosGPT — that autonomous, open-source AI agent tasked to "destroy humanity," among other grandiose goals — is still working hard to bring about the end of our species, albeit with its efforts focused on a new plan of attack.

This is silly. But I think it does serve a useful purpose. It is a stress test. If there is any danger from Large Language Model (LLM) AI, this might reveal it. If there is no danger, this test might calm people by showing that LLM cannot cause havoc.

I think there is no danger from LLM, because they lack logic, common sense, and any grasp of reality. Future versions of AI that have these qualities might be dangerous.

I am not nonchalant. I am not dismissing the possibility of harm. I think we should take precautions even though I doubt there is a threat.

The Hacking of ChatGPT Is Just Getting Started

The Hacking of ChatGPT Is Just Getting Started

Security researchers are jailbreaking large language models to get around safety rules. Things could get much worse.

www.wired.co.uk