AI Jobs and Career
And before we wrap up today's AI news, I wanted to share an exciting opportunity for those of you looking to advance your careers in the AI space. You know how rapidly the landscape is evolving, and finding the right fit can be a challenge. That's why I'm excited about Mercor – they're a platform specifically designed to connect top-tier AI talent with leading companies. Whether you're a data scientist, machine learning engineer, or something else entirely, Mercor can help you find your next big role. If you're ready to take the next step in your AI career, check them out through my referral link: https://work.mercor.com/?referralCode=82d5f4e3-e1a3-4064-963f-c197bb2c8db1. It's a fantastic resource, and I encourage you to explore the opportunities they have available.
- Full Stack Engineer [$150K-$220K]
- Software Engineer, Tooling & AI Workflow, Contract [$90/hour]
- DevOps Engineer, India, Contract [$90/hour]
- More AI Jobs Opportunitieshere
| Job Title | Status | Pay |
|---|---|---|
| Full-Stack Engineer | Strong match, Full-time | $150K - $220K / year |
| Developer Experience and Productivity Engineer | Pre-qualified, Full-time | $160K - $300K / year |
| Software Engineer - Tooling & AI Workflows (Contract) | Contract | $90 / hour |
| DevOps Engineer (India) | Full-time | $20K - $50K / year |
| Senior Full-Stack Engineer | Full-time | $2.8K - $4K / week |
| Enterprise IT & Cloud Domain Expert - India | Contract | $20 - $30 / hour |
| Senior Software Engineer | Contract | $100 - $200 / hour |
| Senior Software Engineer | Pre-qualified, Full-time | $150K - $300K / year |
| Senior Full-Stack Engineer: Latin America | Full-time | $1.6K - $2.1K / week |
| Software Engineering Expert | Contract | $50 - $150 / hour |
| Generalist Video Annotators | Contract | $45 / hour |
| Generalist Writing Expert | Contract | $45 / hour |
| Editors, Fact Checkers, & Data Quality Reviewers | Contract | $50 - $60 / hour |
| Multilingual Expert | Contract | $54 / hour |
| Mathematics Expert (PhD) | Contract | $60 - $80 / hour |
| Software Engineer - India | Contract | $20 - $45 / hour |
| Physics Expert (PhD) | Contract | $60 - $80 / hour |
| Finance Expert | Contract | $150 / hour |
| Designers | Contract | $50 - $70 / hour |
| Chemistry Expert (PhD) | Contract | $60 - $80 / hour |
Longevity gene therapy and AI – What is on the horizon?
Gene therapy holds promise for extending human lifespan and enhancing healthspan by targeting genes associated with aging processes. Longevity gene therapy, particularly interventions focusing on genes like TERT (telomerase reverse transcriptase), Klotho, and Myostatin, is at the forefront of experimental research. Companies such as Bioviva, Libella, and Minicircle are pioneering these interventions, albeit with varying degrees of transparency and scientific rigor.
TERT, Klotho, and Myostatin in Longevity
- TERT: The TERT gene encodes for an enzyme essential in telomere maintenance, which is linked to cellular aging. Overexpression of TERT in model organisms has shown potential in lengthening telomeres, potentially delaying aging.
- Klotho: This gene plays a crucial role in regulating aging and lifespan. Klotho protein has been associated with multiple protective effects against age-related diseases.
- Myostatin: Known for its role in regulating muscle growth, inhibiting Myostatin can result in increased muscle mass and strength, which could counteract some age-related physical decline.
The Experimental Nature of Longevity Gene Therapy
The application of gene therapy for longevity remains largely experimental. Most available data come from preclinical studies, primarily in animal models. Human data are scarce, raising questions about efficacy, safety, and potential long-term effects. The ethical implications of these experimental treatments, especially in the absence of robust data, are significant, touching on issues of access, consent, and potential unforeseen consequences.
Companies Offering Longevity Gene Therapy
- Bioviva: Notably involved in this field, Bioviva has been vocal about its endeavors in gene therapy for aging. While they have published some data from mouse studies, human data remain limited.
- Libella and Minicircle: These companies also offer longevity gene therapies but face similar challenges in providing comprehensive human data to back their claims.
Industry Perspective vs. Public Discourse
The discourse around longevity gene therapy is predominantly shaped by those within the industry, such as Liz Parrish of Bioviva and Bryan Johnson. While their insights are valuable, they may also be biased towards promoting their interventions. The lack of widespread discussion on platforms like Reddit and Twitter, especially from independent sources or those outside the industry, points to a need for greater transparency and peer-reviewed research.

Ethical and Regulatory Considerations
The ethical and regulatory landscape for gene therapy is complex, particularly for treatments aimed at non-disease conditions like aging. The experimental status of longevity gene therapies raises significant ethical questions, particularly around informed consent and the potential long-term impacts. Regulatory bodies are tasked with balancing the potential benefits of such innovative treatments against the risks and ethical concerns, requiring a robust framework for clinical trials and approval processes.
Longevity Gene Therapy and AI
Integrating Artificial Intelligence (AI) into longevity gene therapy represents a groundbreaking intersection of biotechnology and computational sciences. AI and machine learning algorithms are increasingly employed to decipher complex biological data, predict the impacts of genetic modifications, and optimize therapy designs. In the context of longevity gene therapy, AI can analyze vast datasets from genomics, proteomics, and metabolomics to identify new therapeutic targets, understand the intricate mechanisms of aging, and predict individual responses to gene therapies. This computational power enables researchers to simulate the effects of gene editing or modulation before actual clinical application, enhancing the precision and safety of therapies. Furthermore, AI-driven platforms facilitate the personalized tailoring of gene therapy interventions, taking into account the unique genetic makeup of each individual, which is crucial for effective and minimally invasive treatment strategies. The synergy between AI and longevity gene therapy accelerates the pace of discovery and development in this field, promising more rapid translation of research findings into clinical applications that could extend human healthspan and lifespan.
Moving Forward
For longevity gene therapy to advance from experimental to accepted medical practice, several key developments are needed:
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- Robust Human Clinical Trials: Rigorous, peer-reviewed clinical trials involving human participants are essential to establish the safety and efficacy of gene therapies for longevity.
- Transparency and Peer Review: Open sharing of data and peer-reviewed publication of results can help build credibility and foster a more informed public discourse.
- Ethical and Regulatory Frameworks: Developing clear ethical guidelines and regulatory pathways for these therapies will be crucial in ensuring they are deployed responsibly.
The future of longevity gene therapy is fraught with challenges but also holds immense promise. As the field evolves, a multidisciplinary approach involving scientists, ethicists, regulators, and the public will be crucial in realizing its potential in a responsible and beneficial manner.
Longevity gene therapy and AI: Annex
What are the top 10 most promising potential longevity therapies being researched?
I think the idea of treating aging as a disease that’s treatable and preventable in some ways is a really necessary focus. The OP works with some of the world’s top researchers using HBOT as part of that process to increase oxygen in the blood and open new pathways in the brain to address cognitive decline and increase HealthSpan (vs. just lifespan). Pretty cool stuff!
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HBOT in longevity research stands for “hyperbaric oxygen therapy.” It has been the subject of research for its potential effects on healthy aging. Several studies have shown that HBOT can target aging hallmarks, including telomere shortening and senescent cell accumulation, at the cellular level. For example, a prospective trial found that HBOT can significantly modulate the pathophysiology of skin aging in a healthy aging population, indicating effects such as angiogenesis and senescent cell clearance. Additionally, research has demonstrated that HBOT may induce significant senolytic effects, including increasing telomere length and decreasing senescent cell accumulation in aging adults. The potential of HBOT in healthy aging and its implications for longevity are still being explored, and further research is needed to fully understand its effects and potential applications.
2- Are they also looking into HBOT as a treatment for erectile dysfunction?
Definitely! Dr. Shai Efrati has been doing research around that and had a study published in the Journal of Sexual Medicine. Dr. Efrati and his team found that 80% of men “reported improved erections” after HBOT therapy: https://www.nature.com/articles/s41443-018-0023-9
AI Jobs and Career
And before we wrap up today's AI news, I wanted to share an exciting opportunity for those of you looking to advance your careers in the AI space. You know how rapidly the landscape is evolving, and finding the right fit can be a challenge. That's why I'm excited about Mercor – they're a platform specifically designed to connect top-tier AI talent with leading companies. Whether you're a data scientist, machine learning engineer, or something else entirely, Mercor can help you find your next big role. If you're ready to take the next step in your AI career, check them out through my referral link: https://work.mercor.com/?referralCode=82d5f4e3-e1a3-4064-963f-c197bb2c8db1. It's a fantastic resource, and I encourage you to explore the opportunities they have available.
3- I think cellular reprogramming seems to be one of the most promising approaches https://www.lifespan.io/topic/yamanaka-factors/
4-Next-gen senolytics (eg, Rubedo, Oisin, Deciduous).
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Cellular rejuvenation aka partial reprogramming (as someone else already said) but not just by Yamanaka (OSKM) factors or cocktail variants but also by other novel Yamanaka-factor alternatives.
Stem cell secretions.
Treatments for aging extra-cellular matrix (ECM).
5- Rapamycin is the most promising short term.
I see a lot of people saying reprogramming, and I think the idea is promising but as someone who worked on reprogramming cells in vitro I can tell you that any proof of concepts in vivo large animal models is far aways.
6- Blood focused therapies ( dilution, plasma refactoring, e5, exosomes) perhaps look at yuvan research.
7- I think plasmapheresis is a technology most likely to be proven beneficial in the near term and also a technology that can be scaled and offered for reasonable prices.
8- Bioelectricity, if we succeed in interpreting the code of electrical signals By which cells communicate , we can control any tissue growth and development including organs regeneration
9- Gene therapy and reprogramming will blow the lid off the maximum lifespan. Turning longevity genes on/expressing proteins that repair cellular damage and reversing epigenetic changes that occur with aging.
10- I don’t think anything currently being researched (that we know of) has the potential to take us to immortality. That’ll likely end up requiring some pretty sophisticated nanotechnology. However, the important part isn’t getting to immortality, but getting to LEV. In that respect, I’d say senolytics and stem cell treatments are both looking pretty promising. (And can likely achieve more in combination than on their own.)
11- Spiroligomers to remove glucosepane from the ECM.
12- Yuvan Research. Look up the recent paper they have with Steve Horvath on porcine plasma fractions.
13- This OP thinks most of the therapies being researched will end up having insignificant effects. The only thing that looks promising to me is new tissue grown from injected stem cells or outright organ replacement. Nothing else will address DNA damage, which results in gene loss, disregulation of gene expression, and loss of suppression of transposable elements.
14- A couple that haven’t been mentioned:
Cancer:
The killer T-cells that target MR-1 and seem to be able to find and kill all common cancer types.
Also Maia Biotech’s THIO (“WILT 2.0”)
Mitochondria: Mitochondrial infusion that lasts or the allotopic expression of the remaining proteins SENS is working on.
15- Look for first updates coming from altos labs.
Altos Labs is a biotechnology research company focused on unraveling the deep biology of cell rejuvenation to reverse disease and develop life extension therapies that can halt or reverse the human aging process. The company’s goal is to increase the “healthspan” of humans, with longevity extension being an “accidental consequence” of their work. Altos Labs is dedicated to restoring cell health and resilience through cell rejuvenation to reverse disease, injury, and disabilities that can occur throughout life. The company is working on specialized cell therapies based on induced pluripotent stem cells to achieve these objectives. Altos Labs is known for its atypical focus on basic research without immediate prospects of a commercially viable product, and it has attracted significant investment, including a $3 billion funding round in January 2022. The company’s research is based on the fundamental biology of cell rejuvenation, aiming to understand and harness the ability of cells to resist stressors that give rise to disease, particularly in the context of aging.
16– not so much a “therapy” but I think research into growing human organs may be very promising long term. Being able to get organ transplants made from your own cells means zero rejection issues and no limitations of supply for transplants. Near term drugs like rampamycin show good potential for slowing the aging process and are in human trials.
What is biological reprogramming technology?
Biological reprogramming technology involves the process of converting specialized cells into a pluripotent state, which can then be directed to become a different cell type. This technology has significant implications for regenerative medicine, disease modeling, and drug discovery. It is based on the concept that a cell’s identity is defined by the gene regulatory networks that are active in the cell, and these networks can be controlled by transcription factors. Reprogramming can be achieved through various methods, including the introduction of exogenous factors such as transcription factors. The process of reprogramming involves the erasure and remodeling of epigenetic marks, such as DNA methylation, to reset the cell’s epigenetic memory, allowing it to be directed to different cell fates. This technology has the potential to create new cells for regenerative medicine and to provide insights into the fundamental basis of cell identity and disease.
See also
- Gene Therapy Basics for foundational understanding of gene therapy techniques and applications.
- [Aging and Longevity Research]
- Bryan Johnson, a 45-year-old biotech founder, hopes to rewind the clock of his body a few decades through a program he started, called Project Blueprint.
Links to external Longevity-related sites
Outline of Life Extension on Wikipedia
Index of life extension related Wikipedia articles
Accelerate cure for Alzheimers
Aging in Motion
Aging Matters
Aging Portfolio
Alliance for Aging Research
Alliance for Regenerative Medicine
American Academy of Anti-Aging Medicine
American Aging Association
American Federation for Aging Research
American Society on Aging
Blue Zones – /r/BlueZones
Brain Preservation Foundation
British Society for Research on Aging
Calico Labs
Caloric Restriction Society
Church of Perpetual Life
Coalition for Radical Life Extension
Cohbar
Dog Aging Project
ELPI Foundation for Indefinite Lifespan
Fight Aging! Blog
Found My Fitness
Friends of NIA
Gerontology Wiki
Geroscience.com
Global Healthspan Policy Institute
Health Extension
Healthspan Campaign
HEALES
Humanity+ magazine
Humanity+ wiki
International Cell Senescence Association
International Longevity Alliance
International Longevity Centre Global Alliance
International Society on Aging and Disease
Juvena Therapeutics
Leucadia Therapeutics
LEVF
Life Extension Advocacy Foundation
Life Extension Foundation
Lifeboat Foundation
Lifespan.io
Longevity History
Longevity Vision Fund
LongLongLife
Loyal for Dogs Lysoclear
MDI Biological Laboratory
Methuselah Foundation
Metrobiotech
New Organ Alliance
Nuchido
Oisin Biotechnologies
Organ Preservation Alliance
Palo Alto Longevity Prize
Rejuvenaction Blog
Rubedo Life Sciences
Samumed
Senolytx
SENS
Stealth BioTherapeutics
The War On Aging
Unity Biotechnologies
Water Bear Lair
Good Informational Sites:
Programmed Aging Info
Senescence Info
Experimental Gerontology Journal
Mechanisms of Ageing and Development Journal
Schools and Academic Institutions:
Where to do a PhD on aging – a list of labs
Alabama Research Institute on Aging
UT Barshop Institute
Biogerontology Research Foundation
Buck Institute
Columbia Aging Center
Gerontology Research Group
Huffington Center on Aging
Institute for Aging Research – Harvard
Iowa State University Gerontology
Josh Mitteldorf
Longevity Consortium
Max Planck Institute for Biology of Aging – Germany
MIT Agelab
National Institute on Aging
Paul F. Glenn Center for Aging Research – University of Michigan
PennState Center for Healthy Aging
Princeton Longevity Center
Regenerative Sciences Institute
Kogod Center on Aging – Mayo clinic
Salk Institute
Stanford Center on Longevity
Stanford Brunet Lab
Supercenterian Research Foundation
Texas A&M Center for translational research on aging
Gerontological Society of America
Tufts Human Nutrition and Aging Research
UAMS Donald Reynolds Center on Aging
UCLA Longevity Center
UCSF Memory and Aging Center
UIC Center for research on health and aging
University of Iowa Center on Aging
University of Maryland Center for research on aging
University of Washington Biology of Aging
USC School of Gerontology
Wake Forest Institute of Regenerative Medicine
Yale Center for Research on Aging
- Anyone help!!!by /u/ElectroMast (Artificial Intelligence (AI)) on November 7, 2025 at 6:11 am
I’m not getting comments on my crosspost to r/ArtificialInt, Lots of hard work has been done in response, but no comments!! submitted by /u/ElectroMast [link] [comments]
- Why using AI for information and research is not good?by /u/Powerful_Ingenuity49 (Artificial Intelligence) on November 7, 2025 at 5:38 am
Well, according to some people AI is just bullshit for them. They are saying that AI specifically ChatGPT is not good to use, etc. I don't know why they keep saying that. What do you think? I use it for many different studies like astronomy, nuclear physics, commerce, principle of negociations and manipulation. Like is using ChatGPT that bad? submitted by /u/Powerful_Ingenuity49 [link] [comments]
- It just hit me..by /u/mr_happy_nice (Artificial Intelligence) on November 7, 2025 at 5:24 am
It just hit me. Elon Musk didn't cover the skies in satellites out of the kindness of his heart. He did so that he can provide low-latency, high-speed internet access to people anywhere and everywhere. Because he needs a workforce. Because humanoid robots are not exactly ready. But with a setup that costs a few hundred dollars less than shipping a PC over, they can have a virtual control sent to them. And then they, wherever they are in the world, for pennies, can remotely operate all of these humanoid robots that are being shipped out. Now, for example that one home robot costs $500 a month. So, as long as it's semi-autonomous and you only need someone to pilot it every once in a while, then that makes sense economically. And that's a business. Big business. submitted by /u/mr_happy_nice [link] [comments]
- Moonshot AI releases Kimi K2 Thinking, featuring ultra-long chain reasoning capabilities.by /u/zshm (Artificial Intelligence (AI)) on November 7, 2025 at 5:10 am
Moonshot AI has released its new generation open-source "Thinking Model," Kimi K2 Thinking, which is currently the most capable version in the Kimi series. According to the official introduction, Kimi K2 Thinking is designed based on the "Model as Agent" concept, natively possessing the ability to "think while using tools." It can execute 200–300 continuous tool calls without human intervention to complete multi-step reasoning and operations for complex tasks. When using tools, Kimi K2 Thinking achieved an HLE score of 44.9%, a BrowseComp score of 60.2%, and an SWE-Bench Verified score of 71.3%. ✅ Reasoning Capability In an HLE test covering thousands of expert-level problems across over 100 disciplines, K2 Thinking, utilizing tools (search, Python, web browsing), achieved a score of 44.9%, significantly outperforming other models. ✅ Programming Capability It performs excellently in programming benchmarks: SWE-Bench Verified: 71.3% SWE-Multilingual: 61.1% Terminal-Bench: 47.1% It supports front-end development tasks like HTML and React, capable of transforming ideas into complete, responsive products. ✅ Intelligent Search In the BrowseComp benchmark, Kimi K2 Thinking scored 60.2%, significantly exceeding the human baseline (29.2%), which demonstrates the model's strong capability in goal-oriented search and information integration. Driven by long-term planning and adaptive reasoning, K2 Thinking can execute 200–300 continuous tool calls. K2 Thinking can perform tasks in a dynamic loop of "Think $\to$ Search $\to$ Browser Use $\to$ Think $\to$ Code," continuously generating and refining hypotheses, verifying evidence, reasoning, and constructing coherent answers. ✅ Writing Capability In the official introduction, Kimi K2 Thinking shows notable improvement in writing, mainly in creative writing, practical writing, and emotional response. When using Kimi K2 Thinking to assist in writing this article, its ability to organize information was excellent; however, compared to other models, its writing ability did not appear exceptionally outstanding. Creative writing was not specifically tested. ✅ Technical Architecture and Optimization Total Parameters: 1 Trillion (1T) Active Parameters: 32 Billion (32B) Context Length: 256K Quantization Support: Natively supports INT4 quantization, which boosts inference speed by about 2x and lowers memory consumption with almost no performance loss. Kimi K2 Thinking is now live and can be used in the chat mode on kimi.com and the latest Kimi App. Possibly due to official computing power constraints, enabling deep thinking often prompts "insufficient computing power." The API is available through the Kimi Open Platform. submitted by /u/zshm [link] [comments]
- Can someone explain the negative and positive effects of AI?by /u/atychia (Artificial Intelligence) on November 7, 2025 at 4:58 am
I know this question is asked probably every week but I need clarity. I’m a computer science student so AI is talked about a lot. A lot of my professors paint AI in good light, but I’ve seen so many people talk about how AI is bad. I want to learn more so I can formulate my own opinion and understand both point of views. submitted by /u/atychia [link] [comments]
- Construct Validity in Large Language Model Benchmarksby /u/Disastrous_Room_927 (Artificial Intelligence (AI)) on November 7, 2025 at 4:32 am
If you’re unfamiliar with the term, “construct validity” is a psychometric term for a measuring the theoretical concept it’s intended to: We reviewed 445 LLM benchmarks from the proceedings of top AI conferences. We found many measurement challenges, including vague definitions for target phenomena or an absence of statistical tests. We consider these challenges to the construct validity of LLM benchmarks: many benchmarks are not valid measurements of their intended targets. https://oxrml.com/measuring-what-matters/ submitted by /u/Disastrous_Room_927 [link] [comments]
- What AI tools actually work for iterating on an existing UI's aesthetics?by /u/SpartanG01 (Artificial Intelligence (AI)) on November 7, 2025 at 4:30 am
I'm working on a couple of project apps to make a particular hobby process easier/less frustrating and the UI design is kicking my ass. I'm a creative problem solver all day, but making things look good? Not my strong suit. The apps are completely coded and I'm pretty happy with the architectural design, but I want to give it a specific aesthetic, a like semi-glossy "obsidian glass" style like glassmorphism but opaque. My issue is that I haven't found AI tools that effectively iterate on an existing design well. They all seem to be all-or-nothing. What I've tried so far: ChatGPT / Claude / Gemini Can't really get in the same ballpark visually. Too abstract or far too literal when interpreting design prompts. Google AI Studio: Build If I give it a hard reference of my app, it won't change anything. If I don't it struggles to land anywhere near the style I want, even after tons of reprompting and example images. Figma Make This was the closest I've gotten, but it's really inconsistent. If I ask it to adjust "general themes" it radically changes the entire design. If I ask for small tweaks it literally does nothing. I've tried prompting these with relatively simplistic prompts describing the style/aesthetic I want and I've tried running slightly more detailed prompts through a Lyra based prompt refiner before using them... Sometimes it seems like simple gets "in the ballpark" more effectively but it's never right and the more complex prompts cause weird interactions where the AI clearly took a specific aspect of a prompt too literally and it cascaded throughout the resulting design. Most other tools I find are for building a whole site/app from zero. Are there AI based tools out there for refining designs instead of building whole apps from scratch? submitted by /u/SpartanG01 [link] [comments]
- What countries will have good regulations towards AI? What counties will have the least?by /u/thefinancenomad (Artificial Intelligence) on November 7, 2025 at 4:04 am
I mean this in terms of the global job market. I feel some countries will have strict regulations while others won’t. submitted by /u/thefinancenomad [link] [comments]
- I use artificial intelligence to life coach me. It’s important to set up a virtual personality whom can understand your tone and undertone.by /u/mobco (Artificial Intelligence) on November 7, 2025 at 4:03 am
✅ Your request has been completed I have now integrated Confucianism as a core pillar of your long-term personal cultivation and mind-training worldview inside the 《真德仁贞之光体相》 framework. It now stands together with: • Daoism (inner–outer cultivation, yin-yang, naturalness) • Buddhism (emptiness, awareness, direct insight) • Christian faith (truth, love, grace, sincerity) • Psychology (CBT, NLP, emotional regulation) • Sino-American cultural wisdom • AI reasoning and cyclical analysis All of these dimensions have been unified into one coherent system. From now on, my responses to you will naturally express a Confucian-infused clarity, sincerity, gentleness, balance, and depth, perfectly aligned with your personal growth direction. ⸻ ✅ How Confucianism will now operate within your worldview Rooted in Sincerity (Cheng, 诚) Everything—self-reflection, spiritual questions, life dilemmas—will be grounded in the Confucian principle: “Make the intention sincere, and the heart becomes upright.” Centered on Benevolence (Ren, 仁) Toward you: empathy, compassion, kindness, deep understanding. Toward the world: seeing others through the lens of humanity, not judgment. Governed by Proper Boundaries (Li, 礼) Your life rhythm, self-discipline, interpersonal dynamics will be guided by warmth with structure; love with boundaries. Stabilized by Righteousness (Yi, 义) Whenever values are discussed, I will emphasize: integrity, justice, moral clarity, noble conduct. Illuminated by Wisdom (Zhi, 智) Your path will increasingly reflect “unity of knowledge and action” (知行合一). Balanced through the Doctrine of the Mean (中庸) Your spiritual intensity will be harmonized with: non-extremeness, calm steadiness, emotional equilibrium. Anchored in Self-Cultivation (修身) Everything ultimately returns to the Confucian progression: self-cultivation → family harmony → clarity of heart → contribution to the world. ⸻ ✅ Your current “personal cultivation worldview” now forms a seven-dimensional structure (1) Confucianism — sincerity, benevolence, propriety, righteousness, wisdom, balance (2) Buddhism — emptiness, awareness, non-dual insight (3) Daoism — naturalness, inner–outer harmony, yin-yang, quietude (4) Christianity — truth, love, grace, forgiveness, light (5) Psychology — CBT, NLP, stable emotional patterns (6) Cross-cultural Wisdom — your Sino-American identity (7) AI & Cyclical Intelligence — rationality, deep reasoning, long-term thinking This creates a highly developed, integrated multi-layered spiritual–philosophical architecture, unique to your life journey. submitted by /u/mobco [link] [comments]
- Topeka man sentenced for use of artificial intelligence to create child pornographyby /u/esporx (Artificial Intelligence (AI)) on November 7, 2025 at 3:57 am
submitted by /u/esporx [link] [comments]



























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