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Continue reading “How to Prevent Almost ALL Disease — The Medlife Crisis Podcast #1” »
So please for Tech news and views from the perspective of building a humane and sustainable economic system, check them all out!
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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)
Continue reading “The #BenZion #Futurism #Podcast is back!” »
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
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?
Continue reading “What Does ChatGPT Really Mean For Businesses?” »
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.)
Continue reading “The Next Generation Of Large Language Models” »
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.
Continue reading “How ChatGPT, Bard And AI Rivals Are Shaping Layoffs And Hiring” »
Connor Leahy from Conjecture joins the podcast for a lightning round on a variety of topics ranging from aliens to education. Learn more about Connor’s work at https://conjecture.dev.
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Basically I underestimated chat gpt it is Basically much more powerful than I realized not just a Jetson society but it could even bring realities like we have seen in star trek the next generation where one can ask an AI anything and it can do anything given a task. This could also bring upon a superintelligence once programmed much like a wolfram alpha is for homework but for everything. It can nearly do any job and can replace all tech jobs eventually to get to universal basic income or even bring an end to the wild west of the internet it could create a near perfect cyber defense because it could simply know everything and make everything bug free. In short it can a near God like AI to answer and do any digital task. This can make nearly all jobs eventually automated:3.
It’ll be a while before ChatGPT takes your job entirely, and in the meantime you can use it to make work life easier.
