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Anti AI / AI ethics clowns now pushing.gov for some criminalization, on cue.


A nonprofit AI research group wants the Federal Trade Commission to investigate OpenAI, Inc. and halt releases of GPT-4.

OpenAI “has released a product GPT-4 for the consumer market that is biased, deceptive, and a risk to privacy and public safety. The outputs cannot be proven or replicated. No independent assessment was undertaken prior to deployment,” said a complaint to the FTC submitted today by the Center for Artificial Intelligence and Digital Policy (CAIDP).

Calling for “independent oversight and evaluation of commercial AI products offered in the United States,” CAIDP asked the FTC to “open an investigation into OpenAI, enjoin further commercial releases of GPT-4, and ensure the establishment of necessary guardrails to protect consumers, businesses, and the commercial marketplace.”

Reliable carbon-free power for the world — michelle catts, senior vice president, nuclear programs, ge-hitachi nuclear energy.


Michelle Catts is the Senior Vice President of Nuclear Programs at GE-Hitachi (GEH — https://nuclear.gepower.com/) located in Wilmington, NC.

Ms. Catts has over 18 years of demonstrated managerial and technical expertise in nuclear Regulatory Affairs and currently is responsible for ensuring world-class Quality, Continuous Improvement, Regulatory Affairs, and oversight of Environment, Health & Safety programs. She manages a multimillion-dollar budget and over a 30-member organization. She provides licensing and quality leadership and guidance to support nuclear fuel facility licensing, current nuclear fleet fuel reload/outage licensing activities, new reactor and new fuel opportunities, Technical Regulations and Standards, and GE-Hitachis’s Vallecitos and Morris sites.

Regeneration, Resuscitation & Biothreat Countermeasures — Commander Dr. Jean-Paul Chretien, MD, Ph.D., Program Manager, Biological Technology Office, DARPA


Commander Dr. Jean-Paul Chretien, MD, Ph.D. (https://www.darpa.mil/staff/cdr-jean-paul-chretien) is a Program Manager in the Biological Technology Office at DARPA, where his research interests include disease and injury prevention, operational medicine, and biothreat countermeasures. He is also responsible for running the DARPA Triage Challenge (https://triagechallenge.darpa.mil/).

Prior to coming to DARPA, CDR Dr. Chretien led the Pandemic Warning Team at the Defense Intelligence Agency’s National Center for Medical Intelligence, and as a naval medical officer, his previous assignments include senior policy advisor for biodefense in the White House Office of Science and Technology Policy; team lead for Innovation & Evaluation at the Armed Forces Health Surveillance Branch; and director of force health protection for U.S. and NATO forces in southwestern Afghanistan.

Dedicated to ending the HIV epidemic — dr. moupali das, MD, MPH, executive director, HIV clinical research, gilead sciences.


Dr. Moupali Das, MD, MPH, is Executive Director, HIV Clinical Research, in the Virology Therapeutic Area, at Gilead Sciences (https://www.gilead.com/), where she leads the pre-exposure prophylaxis (PrEP) clinical drug development program, including evaluating the safety and efficacy of a long-acting, twice yearly, subcutaneous injection being studied for HIV prevention. Her responsibilities also include expanding the populations who may benefit from PrEP.

Dr. Das has led high-performing teams in academic medicine, public health, implementation science, and cross-functionally in drug development. She has successfully helped develop, implement, and evaluate how to better test, link to care, increase virologic suppression, and improve quality of life for people with HIV, and to prevent HIV in those who may benefit from PrEP.

Blake Lemoine, the Google engineer fired for violating the company’s confidentiality policy, has now expressed concerns about the risks associated with AI-driven chatbots like Microsoft’s Bing AI.

The latest AI models, according to him, are the most potent technological advancement since the atomic bomb and can alter the course of history fundamentally.

As the ChatGPT and Whisper APIs launch this morning, OpenAI is changing the terms of its API developer policy, aiming to address developer — and user — criticism.

Starting today, OpenAI says that it won’t use any data submitted through its API for “service improvements,” including AI model training, unless a customer or organization opts in. In addition, the company is implementing a 30-day data retention policy for API users with options for stricter retention “depending on user needs,” and simplifying its terms and data ownership to make it clear that users own the input and output of the models.

Greg Brockman, the president and chairman of OpenAI, asserts that some of these changes aren’t changes necessarily — it’s always been the case that OpenAI API users own input and output data, whether text, images or otherwise. But the emerging legal challenges around generative AI and customer feedback prompted a rewriting of the terms of service, he says.

Advancing Biomedical R&D & Clinical Development In Saudi Arabia — Dr. Abdelali Haoudi, Ph.D., Managing Director, Biotechnology Park, King Abdullah International Medical Research Center, Ministry of National Guard Health Affairs.


Dr. Abdelali Haoudi, Ph.D. (https://kaimrc-biotech.org.sa/dr-abdelali-haoudi/) currently leads Strategy and Business Development functions, and is also Managing Director of the Biotechnology Park, at King Abdullah International Medical Research Center, at the Ministry of National Guard Health Affairs. He is also Distinguished Scholar at Harvard University-Boston Children’s Hospital.

Dr. Haoudi is an international Research & Development and Innovation Executive with over 25 years experience, having held several senior positions in Research and Development and Innovation. He has vast experience in science and technology policy development, strategy and business development, corporate development and international partnerships development.

Climate change policy has entered a new era. The growing row between the United States and the European Union over the impacts of the new American green subsidy regime makes that all too clear. Yet, in many ways, this story is ultimately about China.

For the last 20 years, developed countries have used three main types of policies to cut their greenhouse gas emissions. Renewable energy mandates have required electricity generators to invest in solar, wind, hydro, and geothermal power. Emissions trading schemes for energy and industrial businesses put a price on carbon. And energy efficiency standards have been progressively improved on a whole range of products, from vehicles and white goods to homes.

This is NOT for ChatGPT, but instead its the AI tech used in beating GO, Chess, DOTA, etc. In other words, not just generating the next best word based on reading billions of sentences, but planning out actions to beat real game opponents (and winning.) And it’s free.


Reinforcement learning is an area of machine learning that involves taking right action to maximize reward in a particular situation. In this full tutorial course, you will get a solid foundation in reinforcement learning core topics.

The course covers Q learning, SARSA, double Q learning, deep Q learning, and policy gradient methods. These algorithms are employed in a number of environments from the open AI gym, including space invaders, breakout, and others. The deep learning portion uses Tensorflow and PyTorch.

A fully-connected annealer extendable to a multi-chip system and featuring a multi-policy mechanism has been designed by Tokyo Tech researchers to solve a broad class of combinatorial optimization (CO) problems relevant to real-world scenarios quickly and efficiently. Named Amorphica, the annealer has the ability to fine-tune parameters according to a specific target CO problem and has potential applications in logistics, finance, machine learning, and so on.

The has grown accustomed to an efficient delivery of goods right at our doorsteps. But did you know that realizing such an efficiency requires solving a mathematical problem, namely what is the best possible route between all the destinations? Known as the “traveling salesman problem,” this belongs to a class of mathematical problems known as “combinatorial optimization” (CO) problems.

As the number of destinations increases, the number of possible routes grows exponentially, and a brute force method based on exhaustive search for the best route becomes impractical. Instead, an approach called “annealing computation” is adopted to find the best route quickly without an exhaustive search.