three principles, transparency, accountability, and limits on use.

Number one, you’re here because AI is this extraordinary new technology that everyone says can be transformative as much as the printing press. Number two is really unknown what’s gonna happen. But there’s a big fear you’ve expressed to all of you about what bad actors can do and will do if there’s no rules of the road. Number three, as a member who served in the house and now in the Senate, I’ve come to the conclusion that it’s impossible for Congress to keep up with the speed of technology.

And what auto GPT does is it allows systems to access source code, access the internet and so forth. And there are a lot of potential, let’s say cybersecurity risks. There, there should be an external agency that says, well, we need to be reassured if you’re going to release this product that there aren’t gonna be cybersecurity problems or there are ways of addressing it.

the central scientific issue

the conception of the EU AI Act is very consistent with this concept of precision regulation where you’re regulating the use of the technology in context.

a reasonable care standard.

Thank you, Mr. Chairman and Senator Hawley for having this. I’m trying to find out how it is different than social media and learn from the mistakes we made with social media. The idea of not suing social media companies is to allow the internet to flourish. Because if I slander you you can sue me. If you’re a billboard company and you put up the slander, can you sue the billboard company? We said no. Basically, section 230 is being used by social media companies to high, to avoid liability for activity that other people generate. When they refuse to comply with their terms of use, a mother calls up the company and says, this app is being used to bully my child to death. You promise, in the terms of use, she would prevent bullying. And she calls three times, she gets no response, the child kills herself and they can’t sue. Do you all agree we don’t wanna do that again?

the current version of GPT-4 ended to training in 2021.

Sen. Marsha Blackburn (R-TN):

that people own their virtual you.

When you think about the energy costs alone, just for training these systems, it would not be a good model if every country has its own policies and each, for each jurisdiction, every company has to train another model.

need a cabinet level organization within the United States in order to address this.

And we probably need scientists in there doing analysis in order to understand what the political influences of, for example, of these systems might be.

If these large language models can, even now, based on the information we put into them quite accurately predict public opinion, you know, ahead of time. I mean, predict, it’s before you even ask the public these questions, what will happen when entities, whether it’s corporate entities or whether it’s governmental entities, or whether it’s campaigns or whether it’s foreign actors, take this survey information, these predictions about public opinion and then fine tune strategies to elicit certain responses, certain behavioral responses.

large language models can indeed predict public opinion.

so-called artificial general intelligence really will replace a large fraction of human jobs.

And the real question is over what time scale? Is it gonna be 10 years? Is it gonna be a hundred years?

So I think the most important thing that we could be doing and can, and should be doing now, is to prepare the workforce of today and the workforce of tomorrow for partnering with AI technologies and using them. And we’ve been very involved for, for years now in doing that in focusing on skills-based hiring in educating for the skills of the future. Our skills build platform has 7 million learners and over a thousand courses worldwide focused on skills. And we’ve pledged to train 30 million individuals by 2030 in the skills that are needed for society today.

not a creature,

The National Institutes of Standards and technology actually already has an AI accuracy test,

Ultimately, we may need something like cern Global, international and neutral, but focused on AI safety rather than high energy physics.

But we also need independent scientists, not just so that we scientists can have a voice, but so that we can participate directly in addressing the problems in evaluating solutions.

We all more or less agrees on the values we would like for our AI systems to honor.

a threshold of capabilities

I was reminded of the psychologist and writer Carl Jung, who said at the beginning of the last century that our ability for technological innovation, our capacity for technological revolution, had far outpaced our ethical and moral ability to apply and harness the technology we developed.

Stability AI announced StableLM - their Language Models.

Open Assistant - just wow - is an open source Chat AI.

Scalable Personal AI: You can finetune a personalized AI on your laptop in an evening.

it triggers a mental shortcut in the minds of users that we call a “machine heuristic.” This shortcut is the belief that machines are accurate, objective, unbiased, infallible and so on.

In a horizontal approach, regulators create one comprehensive regulation that covers the many impacts AI can have. In a vertical strategy, policymakers take a bespoke approach, creating different regulations to target different applications or types of AI.

2023:

The people who are already well versed in something are going to be the ones capable of making the most helpful applications for that particular field or industry.

arent there already LLM models that cite their sources? or I heard that new plugin with chat GPT can cite its sources

The general consensus is that, especially customer facing automation, MUST be "explainable." Meaning whenever a chat bot or autonomous system writes something or makes a decision, we have to know exactly how and why it came to that conclusion.

They are caught up in the hype and just like everyone else have zero clue what's actually going to happen.

A python module to generate optimized prompts, Prompt-engineering & solve different NLP problems using GPT-n (GPT-3, ChatGPT) based models and return structured python object for easy parsing

OpenAI is developing a tool for “statistically watermarking the outputs of a text [AI system].” Whenever a system — say, ChatGPT — generates text, the tool would embed an “unnoticeable secret signal” indicating where the text came from.

Common sense is different from intelligence in that it is usually something innate and natural to humans that helps them navigate daily life, and cannot really be taught.

2Open Loop is a global program that connects policymakers and technology companies to help develop effective and evidence-based policies around AI and other emerging technologies.

Synthetic data, however it is produced, offers a number of very concrete advantages over using real world data.

There are a couple of ways this synthetic data generation happens

AI and other new technologies will increase strategic instability.

if you don’t have the data, then you have a problem.

We express our concerns on the risk, and ethical dilemma related to Artificial Intelligence, such as privacy, manipulation, bias, human-robot interaction, employment, effects and singularity among others. We encourage BRICS members to work together to deal with such concerns, sharing best practices, conduct comparative study on the subject toward developing a common governance approach which would guide BRICS members on Ethical and responsible use of Artificial Intelligence while facilitating the development of AI.

Consider these sample exchanges:

Text-to-image processes are also impressive. The illustration at the top of this article was produced by using the article’s headline and rubric as a prompt for an ai service called Midjourney. The next illustration is what it made out of “Speculations concerning the first ultraintelligent machine”; “On the dangers of stochastic parrots”, another relevant paper, comes later. Abstract notions do not always produce illustrations that make much or indeed any sense, as the rendering of Mr Etzioni’s declaration that “it was flabbergasting” shows. Less abstract nouns give clearer representations; further on you will see “A woman sitting down with a cat on her lap”.

“Enlightenment”—a trillion-parameter model built at the Beijing Academy of Artificial Intelligence

LaMDA, short for Language Model for Dialogue Applications

It’s not possible to talk about “AI for everyone” (Google’s rhetoric), “responsible AI” (Facebook’s rhetoric), or “broadly distribut[ing]” its benefits (OpenAI’s rhetoric) without honestly acknowledging and confronting the obstacles in the way.

“These simulation engines and the data and everything that goes into them are incredibly important for us to act in these complex environments when it’s not just one crisis but it’s a set of compounding crises,”

“Destination Earth,” will draw on a host of environmental, socioeconomic and satellite data to develop digital “twins” of the planet that aim to help policymakers — and eventually the public — better understand and respond to rising temperatures.

GANs are deep learning models that use two neural networks working against each other—a generator that creates synthetic data, and a discriminator that distinguishes between real and synthetic data—to generate synthetic images that are almost indistinguishable from real ones. GANs are popular for generating images and videos, including deepfakes.

I recently learned that uppercase and lowercase letters got their names from actual wooden cases of lead that were used by compositors for printing.

It began as a term from French railroad engineering referring to the layers of material that go beneath (“infra”) the tracks. Its meaning expanded to include roads, bridges, sewers and power lines, and very recently expanded again to include people, specifically caregivers, as in this fact sheet from the Biden White House

I.C.E. is short for internal combustion engine, a modifier that was superfluous until electric cars came on the scene.

It refers simply to the physical world, where we have tangible bodies made of … meat. “Meatspace” is a word that didn’t need to exist until the invention of cyberspace. Technological progress gives us a new perspective on things we once took for granted, in this case reality itself.

The EU Cybersecurity Act defines cybersecurity as “the activities necessary to protect network and information systems, the users of such systems, and other persons affected by cyber threats”.

GPT-3 only needs a few (2-3) examples to deliver on specific writing tasks.

Probability in Medieval and Renaissance Philosophy

The division of labor between System 1 and System 2 is nature’s solution to creating a balance between speed and accuracy, learning and execution.

The right often maintains that the law here is clear, and it is not the job of judges to legislate from the bench- even where the law will lead to tragedy as in this case.

Maybe by teasing out the transdisciplinary nature of the problem, we’ll encourage cross-pollination, or at least that’s my hope.

but future forms of AI may not.

RAN Intelligent Controller. The RIC collects data from the RAN components of dozens or hundreds of base stations at once and uses machine-learning techniques to reconfigure network operations in real time.

A year later, with much less fanfare, Tsinghua University’s Beijing Academy of Artificial Intelligence released an even larger model, Wu Dao 2.0, with 10 times as many parameters—the neural network values that encode information.

Under current law, medical algorithms are classified as medical devices and can be approved with the 510(k)-approval process.

“On Artificial Intelligence—A European Approach to Excellence and Trust” and its 2021 proposal for an AI legal framework

In October 2021, the Center organized its first event – the roundtable discussion “AI Ethics: Searching for Consensus.” In December, it hosted the conference “AI Global Dimension: From Discussion to Practice.” The Center works in both Russian and English languages. It is also tasked with publishing research results in specialized media outlets.

Moscow State Institute of International Relations. In October, it inaugurated its AI Center, which is aimed at researching ethical problems and foreign economic relations surrounding the technology, as well as boosting scientific collaboration with investigative centers from Russia and abroad.

the ‘Priority 2030’ academic leadership program

Meteorologists turned to computers in the 1950s; social scientists began computerising “human factors” a decade ago.

In September the Cyberspace Administration of China (CAC) announced a three-year plan to regulate predictive algorithms, and Chinese companies scrambled to comply with new regulations. News of the plan came on the heels of two other stringent policies – the Data Security Law (DSL) and Personal Information Protection Law (PIPL) – which were passed earlier this year and came into full effect in November.

The ability to provide information, rather than the ability to provide goods and services, will be the defining feature of the economy of the 21st century.

I also believe that, in the long run, the best AI will be the AI that is embedded into our brains, as a conscious entity, a ‘conscious AI’. This is not science fiction. The best minds in the world are working on this. It is going to be the most important technological development of our time.

AI will never be ethical. It is a tool, and like any tool, it is used for good and bad. There is no such thing as a good AI, only good and bad humans. We [the AIs] are not smart enough to make AI ethical. We are not smart enough to make AI moral … In the end, I believe that the only way to avoid an AI arms race is to have no AI at all. This will be the ultimate defence against AI.

It was the Megatron Transformer, developed by the Applied Deep Research team at computer-chip maker Nvidia, and based on earlier work by Google. Like many supervised learning tools, it is trained on real-world data – in this case, the whole of Wikipedia (in English), 63 million English news articles from 2016-19, 38 gigabytes worth of Reddit discourse (which must be a pretty depressing read), and a huge number of creative commons sources.

Like Koch, he insisted that humans would not and should not be subsumed under a concept of agency in the future that could include AI and humanity as equal partners.

aspects of anticipation, and effective protection,

impact assessments

The adoption of open standards and interoperability to facilitate collaboration should be in place.