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A couple minutes of your time for a little optimism.


Dr David Sinclair talks about no matter all the push backs and criticizes, he believes reverse aging therapy for human will be succeeded in this short clip.

David Sinclair is a professor in the Department of Genetics and co-director of the Paul F. Glenn Center for the Biology of Aging at Harvard Medical School, where he and his colleagues study sirtuins—protein-modifying enzymes that respond to changing NAD+ levels and to caloric restriction—as well as chromatin, energy metabolism, mitochondria, learning and memory, neurodegeneration, cancer, and cellular reprogramming.

Dr David Sinclair has suggested that aging is a disease—and that we may soon have the tools to put it into remission—and he has called for greater international attention to the social, economic and political and benefits of a world in which billions of people can live much longer and much healthier lives.

Dr David Sinclair is the co-founder of several biotechnology companies (Life Biosciences, Sirtris, Genocea, Cohbar, MetroBiotech, ArcBio, Liberty Biosecurity) and is on the boards of several others.

In collaboration with the UC San Diego Center for Integrative Nutrition, the Berry Good Food Foundation convenes a panel of experts to discuss the rise of comprehensive medicine and nutritional healing to treat chronic disease and maintain general well-being. [6/2018] [Show ID: 33486]

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This is an in-depth interview with scientist, author and expert on longevity science, Dr Andrew Steele. We discuss what ageing even is, whether it should be regarded as a disease, how we differ from other animals, where the research is, what treatments look promising, health and economic policy, and what the future looks like.

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Episode 24 discusses:
Ben Zion and Dr. Hale discuss the two most exceptional 21st century projects (beyond those to do with building a humane and sustainable economic system, which should have rightly been achieved in the 20th century) namely Universal Superlongevity and Human-Centered-Artificial-Superintelligence, and the noble work of Ageless Partners in the life extension arena.(continued in ep. 25)

Prof. Ian Hale, the autism author and broadcaster, is a member of the World Academy of Medical Science and Director of Research for Ageless Partners’ radical new rejuvenation project.

He’s an associate of both the Moscow Institute of Science & Technology & the Russian Academy of Science.

I have started uploading them primarily to YouTube, this is a sneak preview, and it will be uploaded there next week–
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DID YOU KNOW THAT YOU CAN ASK A FREE #DIGITAL #WRITING #ASSISTANT (CHATGPT)

Forbes writer Kenrick Cai joins “Forbes Talks” to discuss his landmark report on how generative artificial intelligence will reshape the economy and the world.

Read the full story on Forbes: https://www.forbes.com/sites/kenrickcai/2023/02/02/things-yo…b4aebb5e31

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Apitherapy is an emerging field with the potential to impact the economic aspects of cancer research globally, particularly in under-resourced communities. To date, however, studies are yet to fully investigate the molecular mechanism of action of honeybee venom and melittin, and their consequent optimum usage in the oncology arena is yet to be comprehensively investigated, particularly for the treatment of breast cancer, the most commonly occurring cancer in women worldwide2. TNBCs and HER2-enriched tumors are highly aggressive breast cancer subtypes. TNBC is associated with the highest mortality and, despite frequent EGFR expression, commonly displays resistance to anti-EGFR therapies with high dependence on PI3K/Akt signaling for proliferation, survival, and chemotherapy resistance34.

Anti-HER2 therapies have substantially improved long-term survival in early-stage HER2-positive cancers, but the majority of late-stage patients eventually develop resistance and succumb to the disease33,35,36. Not only did we demonstrate selectivity of honeybee venom and melittin for malignant cells, but we also revealed higher potencies for these aggressive types of breast cancer.

Here, we show that honeybee venom and melittin suppress the ligand-induced phosphorylation of EGFR and HER2, dynamically modulating downstream signaling pathways in breast cancer cells. We propose that melittin directly or indirectly inhibits RTK dimerization. Melittin may also enter the cell to directly or indirectly modulate downstream signaling pathways25,60. Previous work has shown that melittin can be targeted to HER2-overexpressing cell lines using immunoliposomes bearing trastuzumab61. Here, we demonstrate that melittin alone selectively targets HER2-and EGFR-overexpressing breast cancer cells. Interestingly, melittin was more potently toxic to breast cancer cells compared to honeybee venom, warranting further investigation.

If your work involves analyzing and reporting on data, then it’s understandable that you might feel a bit concerned by the rapid advances being made by artificial intelligence (AI). In particular, the viral ChatGPT app has captured the imagination of the general public in recent months, acting as a powerful demonstration of what AI is already capable of. For some, it may also seem like a warning about what might be in store for the future.

Undoubtedly, one of the strengths of AI is its ability to make sense of large amounts of data – searching out patterns and putting it into reports, documents, and formats that humans can easily understand. This is the day-to-day “bread and butter” of data analysts as well as many other knowledge economy professionals whose work involves working with data and analytics.

It’s true that artificial intelligence – a term that generally, in business and industry, refers to machine learning – has been used for years in these fields. What ChatGPT and similar tools built on large language models (LLM) and natural language processing (NLP) bring to the table is that it can be easily and effectively used by anybody. If a CEO can simply say to a computer, “what do I need to do to improve customer satisfaction?” or “how can I make more sales?” do they need to worry about hiring, training, and maintaining an expensive analytics team to answer those questions?

Well, fortunately, the answer probably, is yes. In fact, as AI becomes more accessible and mainstream, that team may well become even more critical to the business than it already is. What is beyond doubt, though, is that their jobs will substantially change. So, here’s my rundown of how this technology may affect the field of data and analytics as it becomes mainstream in the near future.

Firstly, what are ChatGPT, LLMs, and NLP?

ChatGPT is a publicly-available conversational (or chatbot) interface powered by a LLM called GPT-3, developed by the research institute OpenAI. The LLM (Large Language Model) is part of a field of machine learning known as natural language processing, which essentially means that it enables us to talk to machines, and for them to reply to us in “natural” (i.e., human) languages. In short, this means that we can ask it a question in English, or in fact, one of almost 100 languages. It can also read, understand and generate computer code in a number of popular programming languages, including Python, Javascript, and C++. We’ve gotten used to interacting with NLP technology for some time now thanks largely to AI assistants like Alexa and Siri, but the LLM powering GPT-3 and ChatGPT is orders of magnitude larger, enabling it to understand far more complex inputs and provide far more sophisticated outputs.

For artificial intelligence, 2022 was a year of breakthroughs. Image generation models such as DALL-E, MidJourney and StableDiffusion came in early in the year, garnering much attention, and ChatGPT went viral near the end.

Riding on the euphoria generated by these technological developments, about $49 billion in venture capital was invested in AI in 2022 — 40% more than a year earlier, per CB Insights.

Yet, there has been little conversation about how AI will play a growing role in real estate, a more than $50 trillion asset class, and one of the key drivers of the global economy. We believe this represents a significant opportunity for real estate tech entrepreneurs.

In case you haven’t heard, artificial intelligence is the hot new thing. Generative AI seems to be on the lips of every venture capitalist, entrepreneur, Fortune 500 CEO and journalist these days, from Silicon Valley to Davos.

To those who started paying real attention to AI in 2022, it may seem that technologies like ChatGPT and Stable Diffusion came out of nowhere to take the world by storm. They didn’t.


Since at least the release of GPT-2 in 2019, it has been clear to those working in the field that generative language models were poised to unleash vast economic and societal transformation. Similarly, while text-to-image models only captured the public’s attention last summer, the technology’s ascendance has appeared inevitable since OpenAI released the original DALL-E in January 2021. (We wrote an article making this argument days after the release of the original DALL-E.)

By this same token, it is important to remember that the current state of the art in AI is far from an end state for AI’s capabilities. On the contrary, the frontiers of artificial intelligence have never advanced more rapidly than they are right now. As amazing as ChatGPT seems to us at the moment, it is a mere stepping stone to what comes next.

What will the next generation of large language models (LLMs) look like? The answer to this question is already out there, under development at AI startups and research groups at this very moment.

In every downturn, we tend to measure the pain by counting layoffs. (Dell is the latest, announcing it will cut 6,650 jobs or 5% of its workforce.) According to Layoffs.fyi, a smart if incomplete tracker of job cuts, tech companies laid off almost 95,000 workers in the first five weeks of this year, which is already about 60% of the layoffs it reported for all of 2022.

While job cuts are normal, there’s something different about this economic dip. To start, as Jena McGregor reports, the advent of remote work has cemented the digital pink slip.


We may measure the pain by counting layoffs but how we hire determines the recovery — and generative AI like Chat GPT changes the game.