Researchers identify three intestinal bacteria found in dementia with Lewy bodies

Dementia with Lewy bodies (DLB), one of the most common forms of dementia, has no cure. Previous studies suggested that gut bacteria, the microorganisms that live in the human digestive tract, play a role in Parkinson’s disease, another neurodegenerative disorder, but the bacteria involved in DLB had not been identified. Now, a group led by researchers at the Nagoya University Graduate School of Medicine in Japan has identified three bacteria involved in DLB: Collinsella, Ruminococcus, and Bifidobacterium. Their findings, reported in npj Parkinson’s Disease, suggest new avenues for diagnosis and treatment.

The onset of DLB is associated with abnormal deposits of alpha-synuclein, a protein in the brain that plays a role in the transmission of signals between neurons. The presence of these deposits, known as ‘Lewy bodies’, affects chemicals in the brain, leading to declines in thinking, reasoning and memory. Symptoms include confusion, memory loss, impaired movement, and visual hallucinations.

Parkinson’s disease also starts with movement problems, but some patients develop cognitive decline within one year. These patients are diagnosed with DLB when this cognitive decline occurs. Physicians find it difficult to predict which people with Parkinson’s disease will develop cognitive decline within a year and become patients with DLB.

A research group led by Associate Professor Masaaki Hirayama (Omics Medicine), Professor Kinji Ohno (Neurogenetics), and Assistant Professor Hiroshi Nishiwaki (Neurogenetics) of Nagoya University Graduate School of Medicine, in collaboration with Okayama Neurology Clinic, Iwate Medical University, and Fukuoka University, analyzed microorganisms in the gut and fecal bile acids of patients with DLB, Parkinson’s disease, and rapid eye movement behavior disorder. They discovered that three intestinal bacteria, Collinsella, Ruminococcus, and Bifidobacterium, were associated with patients with DLB. This may suggest possible ways of diagnosing and treating this neurodegenerative disease.

The researchers also found similarities between the gut bacteria involved in Parkinson’s disease and DLB. In both diseases, the bacteria Akkermansia, which degrades the intestinal mucosa, increased. On the other hand, the bacteria that produce short-chain fatty acids (SCFA) in the gut decreased. “Decreases in SCFA-producing bacteria have been repeatedly reported in Parkinson’s disease, Alzheimer’s disease, and ALS,” explains Ohno. “This suggests that it is a common feature of neurodegenerative diseases.” SCFA are important because they produce regulatory T cells. These types of cells play a critical role in regulating the immune system by suppressing neuroinflammation.

On the other hand, in patients with DLB, the researchers found an increase in Ruminococcus torques, an increase in Collinsella, and a decrease in Bifidobacterium. This was different from Parkinson’s disease patients, whose levels did not change. In the future using these insights, doctors may be able to analyze the bacteria in a person’s digestive tract to distinguish DLB from Parkinson’s disease.

Importantly, the reduced levels of Bifidobacterium mayalsosuggest possible ways to treat DLB. Bifidobacterium increases brain-derived neurotrophic factor, a key protein that supports the growth, development and maintenance of neurons in the central and peripheral nervous systems. Therefore, its decrease in DLB is likely to be associated with cognitive decline.

Similarly, both Ruminococcus torques and Collinsella are intestinal bacteria that carry an enzyme, the product of which regulates inflammation in a region of the brain called the substantia nigra.The substantia nigra produces dopamine, a neurotransmitter that is involved in the regulation of movement and is deficient in Parkinson’s disease. Compared to Parkinson’s disease, the levels of these bacteria were higher in people with DLB. This may explain why the effect on movement is delayed, a key feature that distinguishes DLB from Parkinson’s disease.

“Our findings can be used both for both diagnosis and treatment,” explains Ohno. “If a patient with Parkinson’s disease develops dementia in one year after the onset of motor symptoms, they are diagnosed with DLB. However, we cannot currently predict whether a patient with Parkinson’s disease will become a DLB patient. The gut microbiome will help to identify such patients.”

“In terms of treatment, the administration of Ruminococcus torques and Collinsella in patients with Parkinson’s is expected to delay neuroinflammation in the substantia nigra,” Ohno added. “Therapeutic intervention to increase Bifidobacterium may delay the onset and progression of DLB and reduce cognitive dysfunction.”

“The presence of intestinal bacteria unique to DLB may explain why some patients develop Parkinson’s disease and others develop DLB first,” Ohno said. “Normalizing the abnormal bacteria shared between DLB and Parkinson’s disease may delay the development of both diseases. Improving the gut microbiota is a stepping stone in the treatment of dementia. Our findings may pave the way for the discovery of new and completely different therapeutics.”

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Medical body NICE backs online mental health treatments

The advisory board says offering online anxiety and depression therapies could ease pressure on NHS.

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Daily walk prevents one in 10 early deaths – study

Doing some exercise – as little as 11 minutes a day – is better than doing nothing, researchers say.

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‘I hope this new suit will help me live independently’

A new “smart suit” has been created to help those living with muscular diseases.

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Bowel cancer: Pioneering blood tests for patients in Swansea

About 200 patients are to be offered a blood test as an alternative to colonoscopies.

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Parents to be offered weaning advice for babies in England

A series of local family hubs will be opened in England after a survey showed knowledge gaps existed.

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One is bad enough: climate change raises the threat of back-to-back hurricanes

Getting hit with one hurricane is bad enough, but new research from Princeton University’s engineering school shows that back-to-back versions may become common for many areas in coming decades.

Driven by a combination of rising sea levels and climate change, destructive hurricanes and tropical storms could become far more likely to hit coastal areas in quick succession, researchers found. In an article, published Feb. 27 in the journal Nature Climate Change, the researchers said that in some areas, like the Gulf Coast, such double hits could occur as frequently as once every 3 years.

“Rising sea levels and climate change make sequential damaging hurricanes more likely as the century progresses,” said Dazhi Xi, a postdoctoral researcher and a former graduate student in civil and environmental engineering and the paper’s lead author. “Today’s extremely rare events will become far more frequent.”

Researchers led by Ning Lin, an associate professor civil and environmental engineering at Princeton University, first raised questions about increasing frequency of sequential hurricanes after a particularly destructive hurricane season in 2017. That summer, Hurricane Harvey struck Houston followed by Irma in South Florida and Maria in Puerto Rico. The emergency planning challenges raised by 3 major hurricanes led researchers to question whether multiple destructive storms could occur more readily due to climate change, and what steps could be taken to prepare for this. In the late summer of 2021, Hurricane Ida struck Louisiana, followed shortly by Tropical Storm Nicholas, which had made landfall as a hurricane in Texas.

The researchers said their study showed that sequential storms have become more common on the East Coast and the Gulf Coast, although they remain relatively rare.

“Sequential hurricane hazards are happening already, so we felt they should be studied,” Lin said. “There has been an increasing trend in recent decades.”

The researchers ran computer simulations to determine the change in likelihood of multiple destructive storms hitting the same area within a short period of time such as 15 days over this century. They looked at two scenarios: a future with moderate carbon emissions and one with higher emissions. In both cases, the chance of sequential, damaging storms increased dramatically.

There is a general scientific consensus that climate change will increase the intensity of Atlantic hurricanes in the coming century. But there is some uncertainty in whether the number of storms will increase, decrease, or stay the same over the period, the researchers noted. The model used by Lin’s team showed an increasing number of storms, but other models have shown no increase. However, Lin’s team found that even without an increase in the overall frequency of storms, the increase in intensity will make it much more likely that areas along with East Coast and Gulf Coast will experience sequential storms.

“The proportion of storms that can have an impact on communities is increasing,” Lin said. “The frequency of storms is not as important as the increasing number of storms that can become hazardous.”

The increasing hazard is mainly driven by two developments: rising sea levels and increasing precipitation driven by climate change. Sea level rise is occurring worldwide with the changing climate, and it is compounded on the Atlantic coast by geography. As sea levels rise, storm surge becomes more of a threat to coastal communities because the baseline water level is higher. A 3-meter storm surge on top of a historically normal water level is less damaging to roads than the same surge on top of a water level that is elevated by .5 meters. At the same time, storms are intensifying and higher average air temperatures mean that storms carry more water. This means rainfall and flooding from storms are likely to increase.

The combination of both factors means that storms that might have passed with little notice in the past will become threats, particularly when they hit one after another. In 2021, for example, Tropical Storm Nicholas was relatively weak when it hit Louisiana, but the storm caused more problems than expected because the state was still recovering from the destruction related to Hurricane Ida.

“Nicholas was quite a weak storm and one reason it produced a significant hazard was that the soil was already saturated,” Lin said. “So there was a lot of flooding.”

The researchers said it is important for community planners and regional emergency officials to recognize this emerging threat. Improvements in both resilience and response are required to meet the increasing hazard. For resilience, communities will need to deal with increased flooding threats and harden systems that remove floodwater and protect critical infrastructure such as transportation, water systems and power grids. Emergency response teams will have to be prepared to handle multiple storms in relatively quick succession. On the state and federal level, this could mean being ready to dispatch resources to many stricken communities at the same time.

“If a power system requires 15 days to recover from a major hurricane, we cannot wait that long in the future because the next storm can hit before you can restore power, as in the case of Nicholas following Ida” Lin said. “We need to think about plans, rescue workers, resources. How will we plan for this?”

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Early-life stress can disrupt maturation of brain’s reward circuits, promoting disorders

A new brain connection discovered by University of California, Irvine researchers can explain how early-life stress and adversity trigger disrupted operation of the brain’s reward circuit, offering a new therapeutic target for treating mental illness. Impaired function of this circuit is thought to underlie several major disorders, such as depression, substance abuse and excessive risk-taking.

In an article recently published online in Nature Communications, Dr. Tallie Z. Baram, senior author and UCI Donald Bren Professor and Distinguished Professor in the Departments of Anatomy & Neurobiology, Pediatrics, Neurology and Physiology & Biophysics, and Matt Birnie, lead author and a postdoctoral researcher, describe the cellular changes in the brain’s circuitry caused by exposure to adversity during childhood.

“We know that early-life stress impacts the brain, but until now, we didn’t know how,” Baram said. “Our team focused on identifying potentially stress-sensitive brain pathways. We discovered a new pathway within the reward circuit that expresses a molecule called corticotropin-releasing hormone that controls our responses to stress. We found that adverse experiences cause this brain pathway to be overactive.”

“These changes to the pathway disrupt reward behaviors, reducing pleasure and motivation for fun, food and sex cues in mice,” she said. “In humans, such behavioral changes, called ‘anhedonia,’ are associated with emotional disorders. Importantly, we discovered that when we silence this pathway using modern technology, we restore the brain’s normal reward behaviors.”

Researchers mapped all the CRH-expressing connections to the nucleus accumbens, a pleasure and motivation hub in the brain, and found a previously unknown projection arising from the basolateral amygdala. In addition to CRH, projection fibers co-expressed gama-aminobutyric acid. They found that this new pathway, when stimulated, suppresses several types of reward behaviors in male mice.

The study involved two groups of male and female mice. One was exposed to adversity early in life by living for a week in cages with limited bedding and nesting material, and the other was reared in typical cages. As adults, the early adversity-experiencing male mice had little interest in sweet foods or sex cues compared to typically reared mice. In contrast, adversity-experiencing females craved rich, sweet food. Inhibiting the pathway restored normal reward behaviors in males, yet it had no effect in females.

“We believe that our findings provide breakthrough insights into the impact of early-life adversity on brain development and specifically on control of reward behaviors that underlie many emotional disorders. Our discovery of the previously unknown circuit function of the basolateral amygdala-nucleus accumbens brain pathway deepens our understanding of this complex mechanism and identifies a significant new therapeutic target.” Baram said. “Future studies are needed to increase our understanding of the different and sex-specific effects of early-life adversity on behavior.”

Team members include Annabel K. Short, postdoctoral researcher, Lara Taniguchi, graduate student, Aidan Pham, lab assistant, and co-corresponding author Yuncai Chen, project scientist, from Department of Pediatrics; Gregory B. de Carvalho, graduate student, Benjamin G. Gunn, assistant project scientist; Christy A. Itoga, researcher; Xiangmin Xu, professor; Lulu Y. Chen, assistant professor; from the Department of Anatomy & Neurobiology; and Stephen V. Mahler, associate professor from the Department of Neurobiology and Behavior.

This work was supported by National Institute of Health grants P50 MH096889, MH73136, U01DA053826 NS108296 P50 DA044118, P50 MH096889 Seed Award FG23670, The Bren Foundation, a George E. Hewitt Foundation for Biomedical Research Fellowship and a British Society for Neuroendocrinology Project Support Grant BSN-5646342.

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Astronomers discover metal-rich galaxies in early universe

While analyzing data from the first images of a well-known early galaxy taken by NASA’s James Webb Space Telescope (JWST), Cornell University astronomers discovered a companion galaxy previously hidden behind the light of the foreground galaxy — one that surprisingly seems to have already hosted multiple generations of stars despite its young age, estimated at 1.4 billion years old.

“We found this galaxy to be super-chemically abundant, something none of us expected,” said Bo Peng, a doctoral student in astronomy, who led the data analysis. “JWST changes the way we view this system and opens up new venues to study how stars and galaxies formed in the early universe.”

Peng is the lead author of “Discovery of a Dusty, Chemically Mature Companion to z~4 Starburst Galaxy in JWST Early Release Science Data,” published in the Astrophysical Journal Letters.

Earlier images captured by the Atacama Large Millimeter/submillimeter Array (ALMA) in Chile contained hints of the companion resolved clearly by JSWT, but couldn’t be interpreted as anything more than random noise, said Amit Vishwas, a research associate at the Cornell Center for Astrophysics and Planetary Sciences (CCAPS) and the paper’s second author.

The team estimated the companion galaxy, which they labeled SPT0418-SE, was within 5 kiloparsecs of SPT0418-47, one of the brightest dusty, star-forming galaxies in the early universe, its distant light bent and magnified by a foreground galaxy’s gravity into a circle, called an Einstein ring. The Magellanic Clouds, satellites of the Milky Way are about 50 kiloparsecs away. The proximity suggests these galaxies are bound to interact with each other and potentially even merge, an observation that adds to the understanding of how early galaxies may have evolved into larger ones.

The two galaxies are modest in mass as galaxies in the early universe go, with “SE” relatively smaller and less dusty, making it appear bluer than the extremely dust-obscured ring. Based on images of nearby galaxies with similar colors, the researchers suggest that they may reside “in a massive dark-matter halo with yet-to-be-discovered neighbors.”

Most surprising about the companion galaxy, considering its age and mass, was its mature metallicity — amounts of elements heavier than helium and hydrogen, such as carbon, oxygen and nitrogen. The team estimated that as comparable to our sun, which is more than 4 billion years old and inherited most of its metals from previous generations of stars that had 8 billion years to build them up.

“We are seeing the leftovers of at least a couple of generations of stars having lived and died within the first billion years of the universe’s existence, which is not what we typically see,” Vishwas said. “We speculate that the process of forming stars in these galaxies must have been very efficient and started very early in the universe, particularly to explain the measured abundance of nitrogen relative to oxygen, as this ratio is a reliable measure of how many generations of stars have lived and died.”

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Engage Course Update

I’ve been making steady progress on the new Engage course design. It’s a lot of work – I’ve been putting in some long hours lately – but very fulfilling. I’m enjoying working co-creatively with ChatGPT on it. This has really taken the course design and development process to a whole new level.

I wouldn’t say that it’s saving me time per se. I could potentially leverage AI to speed up my design process, but that doesn’t resonate with me. Rather, it’s enabling me to go much deeper into understanding the core ideas, transformations, audience, and more. I can explore the ideas from many more angles and reflect upon them in ways I couldn’t really do before, at least not as thoroughly as I can now.

I love that ChatGPT has a decent working memory. I’m learning how to preload it with different subsets of information that I want it to work on, so I can have it generate more permutations of those ideas and do some insightful reasoning about them.

For instance, I had ChatGPT generate representative quotes regarding the problems and challenges people might express that Engage is being designed to address:

Key Quotes (AI Simulated)

  1. “I feel like I’m just going through the motions every day, without really living.”
  2. “I’m always busy, but I never seem to get anything done.”
  3. “I can’t seem to focus on anything for more than a few minutes at a time.”
  4. “I’m constantly distracted by social media and other digital devices.”
  5. “I’m always exhausted, even when I get enough sleep.”
  6. “I have trouble setting priorities and sticking to them.”
  7. “I feel like I’m not making any progress in my life or career.”
  8. “I have trouble motivating myself to do the things I know I need to do.”
  9. “I’m afraid of taking risks and trying new things.”
  10. “I feel like I’m stuck in a rut and can’t break out of it.”
  11. “I have trouble saying no and setting boundaries with others.”
  12. “I feel like I’m not living up to my full potential.”
  13. “I struggle with self-doubt and negative self-talk.”
  14. “I have trouble finding a sense of purpose or direction in my life.”
  15. “I’m overwhelmed by the sheer amount of tasks and responsibilities I have to juggle.”
  16. “I’m constantly stressed out and anxious.”
  17. “I have trouble managing my time and getting things done efficiently.”
  18. “I don’t feel like I have enough time or energy to pursue my passions and hobbies.”
  19. “I have trouble balancing my work and personal life.”
  20. “I feel like I’m not making enough progress towards my goals.”
  21. “I struggle with procrastination and putting things off until the last minute.”
  22. “I’m easily overwhelmed by large projects or tasks.”
  23. “I have trouble focusing on the present moment and enjoying life as it happens.”
  24. “I’m constantly comparing myself to others and feeling inadequate.”
  25. “I feel like I’m just going through the motions of life, without really experiencing it.”
  26. “I have trouble finding meaningful relationships and connections with others.”
  27. “I feel like I’m not living an authentic life, but rather one that’s been dictated by others or by society.”
  28. “I struggle with perfectionism and have trouble accepting my flaws and mistakes.”
  29. “I have trouble making decisions and second-guessing myself.”
  30. “I feel like I’m not living up to the expectations of others, such as my family or society as a whole.”

It’s easy to have ChatGPT generate many variations of this type of list. This helps me catch additional ideas that may not be captured in a single list.

I feel especially well-suited to working with ChatGPT productively on this kind of project because of my background as a writer and as a programmer. It’s such a unique and robust tool, and I find myself shifting around a lot in how I interface with it – sometimes leaning more on normal human language while other times approaching it more like a coder and thinking algorithmically. I often think of ChatGPT as the ultimate programming language. It’s incredibly flexible in what it can do, and I love discovering new ways to squeeze more performance out of it. I use it pretty much every day now.

I especially like that I can use ChatGPT to give me different viewports into a range of self-development ideas that I’m working with. For instance, I can have it generate lists of side effects of people’s problems and struggles, so I better understand what they may be going through.

Here’s an example where I asked ChatGPT to predict 10 side effects that people may experience as a result of experiencing the struggles and challenges that Engage is being designed to address:

10 Side Effects

  1. Poor health and well-being: Chronic stress and burnout can lead to physical and mental health problems, including fatigue, insomnia, anxiety, depression, and even chronic diseases.
  2. Strained relationships: A lack of focus and productivity can lead to unmet commitments, unfulfilled promises, and strained relationships with friends, family, and colleagues.
  3. Missed opportunities: Without a clear sense of purpose and direction, individuals may miss out on opportunities that could lead to personal and professional growth and fulfillment.
  4. Financial instability: Poor productivity and lack of focus can lead to missed deadlines, poor performance, and reduced income or job loss, leading to financial instability and stress.
  5. Reduced creativity and innovation: Without mental and emotional alignment, individuals may struggle to tap into their full creative potential, leading to stagnation and reduced innovation.
  6. Reduced sense of self-worth: Failure to meet personal and professional goals can lead to reduced self-esteem and self-worth, creating a cycle of negative self-talk and self-doubt.
  7. Reduced impact and influence: Without the ability to focus and deliver on important tasks and projects, individuals may struggle to make a meaningful impact in their personal and professional lives.
  8. Reduced sense of meaning and purpose: Without a clear sense of purpose and direction, individuals may struggle to find meaning and fulfillment in their personal and professional lives.
  9. Reduced quality of life: The combined impact of these challenges can lead to a reduced quality of life, characterized by stress, burnout, and a lack of fulfillment.
  10. Reduced sense of community and connection: Poor productivity and a lack of engagement can lead to social isolation and reduced sense of community and connection, exacerbating feelings of stress and loneliness.

Here’s another version, focused on the inner experience of these struggles.

Top 10 Inner Issues Experienced

  1. Feeling overwhelmed and stressed, with a constant sense of pressure to perform or succeed
  2. Experiencing a lack of clarity and purpose, and feeling uncertain about the direction of their life
  3. Feeling disconnected from themselves and their own desires, as well as from other people and the world around them
  4. Struggling with self-doubt, insecurity, and a negative inner voice that criticizes and undermines their efforts
  5. Finding it difficult to focus and be productive, and feeling easily distracted or unmotivated
  6. Feeling stuck in unfulfilling or unsatisfying situations, such as a job or relationship that isn’t fulfilling their needs
  7. Feeling like they’re not living up to their full potential, and a sense of disappointment or regret about missed opportunities
  8. Struggling with anxiety or other mental health issues, which can make it difficult to engage fully with life and pursue their goals
  9. Feeling like they’re always in a state of transition or change, and not being able to find a sense of stability or security
  10. Feeling like they’re alone or unsupported in their efforts to create a more engaged and fulfilling life, and lacking a sense of community or connection with others who share their values and goals.

I don’t know about you, but when I read these kinds of lists, it stirs up a lot of empathy because I know these are real challenges that many people experience every day.

How about a succinct list of the core struggles?

25 Core Struggles

  1. Doubt
  2. Anxiety
  3. Uncertainty
  4. Overwhelm
  5. Procrastination
  6. Self-doubt
  7. Self-criticism
  8. Perfectionism
  9. Lack of focus
  10. Fear of failure
  11. Fear of success
  12. Negative self-talk
  13. Self-sabotage
  14. Imposter syndrome
  15. Burnout
  16. Distraction
  17. Lack of motivation
  18. Poor time management
  19. Inertia
  20. Lack of direction
  21. Lack of purpose
  22. Lack of clarity
  23. Low self-esteem
  24. Low self-worth
  25. Guilt

When I begin working on a new course, I like to start with the problems and challenges that the course is going to address. I normally spend weeks going over the problems till I feel like I really understand what it’s like to experience them from the inside. This helps me start spotting the leverage points regarding how to help people shift from problem space to solution space.

AI and Empathy

Developing a new course is a huge amount of work, and when I invest in such a big creative project, it’s really important for me to connect with a deep and meaningful purpose for it. In the past I would spend a lot of time dialoguing with people in my audience about their problems and challenges. That made me feel more connected to them and motivated to help. It gave me a more specific why. But this approach has many gaps and also redundancies. Many people will share the same kinds of problems, and some key problems won’t be articulated very well.

My blog was in ChatGPT’s training set, so it “knows” me and my writing to some extent. I can have it reason about my audience and their needs, values, desires, and more. Since I have many years of experience interacting with my online audience, I can also evaluate how accurate ChatGPT is in modeling what I expect my audience cares about. I would say it’s doing very well with that, especially as I preload it with more details to help guide it.

Moreover, I don’t have to lean on AI exclusively. It’s not a substitute for my previous processes, but it is a powerful supplement. That’s one reason I’m going a bit slower with this course design. I’ve added this powerful new tool, but it hasn’t replaced my tried and true approaches.

I know that some people think that AI is cold and heartless, and the media has been surging with stories about the ghastly edges of AI output. I know that some people would never use AI for this kind of very human work. Those people are entitled to their opinions, and my opinion is that they’re missing what this is all about.

What’s so fascinating about a tool like ChatGPT is that it was trained on human language, and the surprise was just how much human intelligence is encapsulated within our language patterns. That really got me thinking about the connection between language and thought. How much of my own thinking is empowered or constrained by my own language patterns? What’s the relationship between intelligence and language?

When I use ChatGPT, I straddle multiple frames. My background in programming, computer science, and mathematics keeps me aware of the language-based nature of the tool while also empowering me to use it like a programmer, not just as a writer or course creator. At the same time, my curious explorer side loves to interact with AI like it’s more than just the sum of its parts. I have tremendous respect for it as a different form of intelligence.

On the inside my experience of working with ChatGPT feels much like I’m co-creating the course with Data from Star Trek: The Next Generation. It’s like having a tireless assistant who also happens to be brilliant, but not exactly in the same way a human being would be brilliant. I absolutely love it. For a part of me, being able to collaborate like this with machine intelligence is a dream come true. I feel like I’m in creative paradise.

Once ChatGPT grasps the problems and struggles we’re looking to address, it’s also very good at helping to explore the transformations too. I’ve spent many hours going over those from many different angles till I found the hooks that really got me excited. I would say the biggest one is helping people overcome blocks they don’t even know they had.

For instance, if you’re not already using generative AI tools like ChatGPT for your self-development, then I’d say it’s a certainty that you’re being held back by blocks. The question is whether or not you’ve identified them yet. The truth is that if you’re waiting months to engage with such a breakthrough tool like this, you’re being way too much of a dinosaur.

For all of our previous courses, I focused on creating timeless content that would still be relevant decades after the course was created. For Engage I think we need an element that also involves the opposite, which is to cover the leading edge of what you can do with self-development with today’s accessible AI tools.

AI Assessment

ChatGPT is especially useful for making predictions, based on its current understanding. I often have it regenerate its responses multiple times to see how consistent its predictions are, which is a good way to double-check their stability.

After we worked a lot on the transformations that Engage is meant to help people with and the core concepts we’ll be covering, I asked it:

Do you predict that this is an achievable goal?

It replied:

Yes, I believe that this is an achievable goal. The Engage course appears to have a well-defined and thoughtful approach to personal growth and development, with a focus on providing participants with the tools, resources, and support they need to make positive changes in their lives. The course addresses a range of important topics and provides participants with strategies for developing positive habits, enhancing self-awareness, managing their time and productivity, and achieving personal transformation. With a skilled and dedicated instructor or coach, and a supportive community of like-minded individuals, participants have the potential to make significant progress towards their personal and professional goals. Of course, the level of success will ultimately depend on the individual’s own commitment and effort, but the Engage course appears to provide a strong foundation for achieving positive change.

It’s good to know that the AI is optimistic about our current direction. 😊

At the end of one lengthy work session, I also asked it:

What do you think of Engage?

So far so good… I’d say we’re on track to open up the new Engage course sometime in March. I’ll keep you posted, but just know that I’m continuing to work on this every week till it’s ready. And Mr. Data is helping me this time. 😉

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