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AI, An Amplifier Of Human Intelligence

I attended Celesta Capital’s TechSurge Summit on February 13, 2023 at the Computer History Museum. In this piece I will talk about interview with Nic Brathwaite Founder and Managing Partner of Celesta Capital as well as Sriram Viswanathan (Founding General Manager of Celesta and heavily involved in venture investments in India), and a panel discussion by John Hennessy (Chairman of Alphabet).

In a companion article I will talk about my interview with John Hennessy, Chairman of Alphabet (Google’s parent company) and Vint Cerf, also with Google, during the TechSurge Summit.


He also said that the current cost of inference is too high and that Chat GBT is too often busy. He thought that there were opportunities to build AI systems trained and focused on particular uses, which would lead to smaller models and they would be more practical. He thought we are 1–2 years away from useful products, particularly in business intelligence. He also said that the use of AI allows us to program with data rather than lots of lines of code. Google was hesitant to produce something like Chat GBT, they didn’t want the system to say wrong or toxic things. He said that the tech industry needs to be more careful to encourage a civil society and that many tools, such as the Internet, were not anticipated to be used to do evil things.

John said that AI can be an amplifier of human intelligence. It could be used to help teach kids in a classroom with customized instruction to match their rate and type of learning. He said that the chance of making a true general AI is much more likely than it was in the past. He also made comments on defensive technologies, blockchain, fighting climate change, the future of semiconductor technology in the US and medical innovations.

Celesta’s TechSurge Summit covered investment trends in deep technology and included insights on data growth and demand. John Hennessy, CEO of Alphabet, covered many topics, including how AI can be an amplifier of human intelligence.

New Study Finds Neurons Derived from Stem Cells Predict Psychosis and Cognitive Deficits in Individuals with Schizophrenia

Baltimore, Md. (January 11, 2022) – In a breakthrough that holds significant promise for early diagnosis and better treatment of psychiatric illness, researchers have for the first time used neurons derived from human stem cells to predict the cardinal features of a psychiatric illness, such as psychosis and cognitive deficits in patients with schizophrenia.

A study published today in the Proceedings of the National Academy of Sciences (PNAS) by scientists at the Lieber Institute for Brain Development/Maltz Research Laboratories (LIBD) shows that the clinical symptoms of individuals with schizophrenia can be predicted by the activity of neurons derived from the patients’ own stem cells.

This connection — between the physiology of cells and symptoms like delusions, hallucinations and altered cognition— has never been made before. That is, no other study has demonstrated a robust association between neuronal models derived from a patient’s stem cells and clinically relevant features of the psychiatric disorder in the same person.

3D bioprinting inside the human body could be possible thanks to new soft robot

Engineers from UNSW Sydney have developed a miniature and flexible soft robotic arm which could be used to 3D print biomaterial directly onto organs inside a person’s body.

3D bioprinting is a process whereby biomedical parts are fabricated from so-called bioink to construct natural tissue-like structures.

Bioprinting is predominantly used for research purposes such as tissue engineering and in the development of new drugs — and normally requires the use of large 3D printing machines to produce cellular structures outside the living body.

Paper Advanced Sciences:

Advanced soft robotic system for in situ 3D bioprinting and endoscopic surgery.

https://onlinelibrary.wiley.com/doi/10.1002/advs.

Crabs Have Evolved Five Separate Times—Why Do the Same Forms Keep Appearing in Nature?

It’s not only body forms that evolve independently, but also organs and other structures. Humans have complex camera eyes with a lens, iris and retina. Squid, and octopuses, which are molluscs and more closely related to snails and clams, also evolved camera eyes with the same components.

Eyes more generally may have evolved independently up to 40 times in different groups of animals. Even box jellyfish, which don’t have a brain, have eyes with lenses at the bases of their four tentacles.

The more we look, the more we find. Structures such as jaws, teeth, ears, fins, legs and wings all keep evolving independently across the animal tree of life.

A framework characterizing the cardio-behavioral responses associated with fear and anxiety

Anxiety disorders are becoming increasingly common, with estimates suggesting that almost one in three people in the U.S. will experience high levels of anxiety at some point in their life. Anxiety is essentially a feeling of unease, worry or psychological discomfort, typically associated with catastrophic thoughts about a real or imagined future life event.

When they are anxious, humans experience the same sensations and physiological responses they would feel when they are afraid of a real and immediate threat, such as a lion chasing them, an ongoing natural disaster, and so on. To better support patients with anxiety disorders, neuroscientists and psychology researchers have been trying to understand the neural underpinnings of fear and anxiety for many years.

Ultimately, both fear and anxiety tend to promote defensive behaviors in response to real or imaginary threats, respectively. The most widely documented among these are the so-called freeze (i.e., staying still), flight (i.e., avoiding a feared situation or escaping), fight (i.e., arguing or becoming aggressive) and fawn (i.e., overpleasing or submitting to another human to avoid the escalation of conflict).

New Hope for Treatment of Rare Metabolic Brain Disease

X-ALD is the most prevalent of the approximately 50 rare diseases that affect the white matter of the brain, referred to as leukodystrophies. The genetic damage in X-ALD is due to a defect in the X chromosome. Men who are affected by X-ALD experience a progressive deterioration of their mobility, balance, and sensory abilities, leading to issues such as incontinence and sexual dysfunction.

Although X-ALD is inherited through the X chromosome, female carriers can also experience symptoms of the disease. Approximately 30% of male children and 60% of adult men develop encephalitis, which is a fatal form of the disease that leads to death within two to three years. X-ALD affects roughly one in every 20,000 births globally.

Now, for the first time, scientists from all relevant leukodystrophy centers in Europe and the US have jointly succeeded in obtaining controlled trial data for X-linked adrenoleukodystrophy. Of the 116 patients, 77 received the drug leriglitazone and 39 a placebo. The drug had already shown in preclinical studies that it can prevent neurodegeneration and offer protection against the life-threatening inflammation of the brain.

Researchers find nanoparticles of a rare earth metal used in MRI contrast agents can infiltrate kidney tissue

Physicians routinely prescribe an infusion containing gadolinium to enhance MRI scans, but there is evidence that nanoparticles of the toxic rare earth metal infiltrate kidney cells, sometimes triggering severe side effects, University of New Mexico researchers have found.

In the worst cases, , an element that has no biologic function, can trigger nephrogenic systemic fibrosis, a painful disease that affects the skin and organs and is often fatal.

In a new study published in Scientific Reports, a team led by Brent Wagner, MD, MS, associate professor in the UNM Department of Internal Medicine, describes the use of electron microscopy to detect tiny deposits of gadolinium in the kidneys of people who had been injected with agents prior to their MRIs.

The Unexpected Winners Of The ChatGPT Generative AI Revolution

OpenAI’s ChatGPT has taken the world like wildfire and continues to make headlines. However, the Generative Artificial Intelligence (GAI) has been around for a very long time. The technology was first pioneered in academia with Ian Goodfellow and Yoshua Bengio publishing their first seminal work on Generative Adversarial Networks in 2014 and then Google picked up the torch and published seminal papers and patents in both GANs and generative pre-trained transformers (GPT). In fact, my first paper on generative chemistry, was published in 2016, first granted patent in 2018, and the first AI-generated drug went through the first phase of clinical trials.


Forbes is one of the most reputable content providers on the planet and probably the most reputable when it comes to anything dealing with money. If Forbes does not classify you as a billionaire, you are not a billionaire. It has decades of high-quality expert-generated longitudinal text, and multimedia content in multiple languages. In addition to elite human reporters and editors, it also has a small army of content creators specializing in specific areas contributing to Forbes.com. For example, it is my 5th year as a contributor and I contribute regularly to keep the pencil sharp. This massive human intelligence may be partly repurposed to help develop internal generative resources within the Forbes empire, help curate the datasets and help train or benchmark third-party generative resources. I would gladly volunteer a small amount of time to such a task.

Nature and several other journals in the Nature Publishing Group portfolio are considered to be the Olympus in academic publishing. To publish in one of the elite Nature journals academics spend months and sometimes years going through the rounds of editorial and then peer-review. The quality of the data is questioned, all experimental data is disclosed, and the thousands or millions of dollars that went into the experiments are presented in the form of a paper and supplementary materials.

Having vast amounts of highest-quality data that is not available to the public gives Nature and other publishers the ability to either develop their own versions of ChatGPT, sell or license the data, and restructure the editorial and review processes to create more value for the future generative systems.

How An Early Warning Radar Could Prevent Future Pandemics

On December 18, 2019, Wuhan Central Hospital admitted a patient with symptoms common for the winter flu season: a 65-year-old man with fever and pneumonia. AI Fen, director of the emergency department, oversaw a typical treatment plan, including antibiotics and anti-influenza drugs.

Six days later, the patient was still sick, and AI was puzzled, according to news reports and a detailed reconstruction of this period by evolutionary biologist Michael Worobey. The respiratory department decided to try to identify the guilty pathogen by reading its genetic code, a process called sequencing. They rinsed part of the patient’s lungs with saline, collected the liquid, and sent the sample to a biotech company. On December 27, the hospital got the results: The man had contracted a new coronavirus closely related to the one that caused the SARS outbreak that began 17 years before.

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