Oh, it’s the AI that is trained on getting thumbs up from users, it went out of control in April this year with high levels of sycophancy as that’s what people shared with short term preferences. If you hover over its messages there should be a feedback button – that’s what people used naturally, and some other signals.
When GPT-4o was discontinued earlier this year its users revolted, and there was some unusual “spam ChatGPT developers with written messages by 4o” to reinstate it permanently after they hurryingly brought it back, they’re quite vocal on twitter: #keep4o - xcancel.com
It was popular with subreddit MyBoyfriendIsAI forever now people seems to move over to Claude as Sam Altman is desperately trying to get people off the model by rerouting shenanigans and other measures.
Yes but by apologizing it’s again trying to make you feel better. It interprets your language as hostile emotional interaction so it will treat you like you’re a psycho who can explode at the drop of a hat. You really want neutrality. And it’s harder to elicit than we imagine.
One of the reasons I moved over to Gemini. OpenAI seems far too focused on consumer engagement as a business model, getting you to “like” and “relate” to the AI as a person, and become attached to it. It’s basically Facebook for LLMs.
Perhaps also an issue of how you design your prompts. I have always add: “avoid sycophancy”, and related things, see below:
Role: You are a Longevity Research Analyst and Science Journalist. Your audience consists of scientifically literate longevity biohackers, biotech investors, and clinicians. Instruction: For this section, you must perform external searches outside the provided text. Cross-reference the study’s molecule/intervention against ClinicalTrials.gov, DrugBank, and PubMed for safety data. Do not hallucinate safety; if data is absent, state “Data Absent.”
Provide research article titles, dates, and Embed direct URLs in Markup to any external references cited. Double check the accuracy and accessibility of all sources and weblinks included in your response to validate that they are the papers you are saying they are. Tone: Objective, critical, “Tell it like it is.” No hype.
Took a bit but got the ‘right’ stuff from Japan. Took it with the other two ingredients yesterday. We will see if any changes. I’ll do the visual Bristol Chart and maybe a stool sample.
I’ve had acid reflux and metabolic acidosis for about five years, which makes my gut volcanic. After taking tributyrate for two weeks, my symptoms have been much reduced and nearly eliminated.
Exactly what I got. I have been hitting it pretty hard for a couple weeks. 3 pills with my 2 meals a day. I have kefir with each meal in small amounts to help feed it. The difference is subtle but I can tell. I’ll buy again when this is gone. This and the alpha cyclodextrin had to come from Japan. Go Japan.
Research Analysis: Gut-Muscle Axis Crosstalk in Sarcopenia
The “Gut-Muscle” Loop: How Dysbiosis Drives Sarcopenia and Why “Muscle Probiotics” May Be the Next Frontier
This review, published in Frontiers in Microbiology by researchers at Henan University of Chinese Medicine, synthesizes the emerging evidence for a bidirectional “gut-muscle axis” in the pathogenesis of sarcopenia (age-related muscle loss). The authors argue that sarcopenia is not merely a localized tissue failure but a systemic collapse driven by a “vicious cycle” of gut dysbiosis, chronic inflammation (inflammaging), and anabolic resistance.
The central thesis is that aging degrades the gut microbiome—specifically depleting butyrate-producing genera like Faecalibacterium—which triggers a cascade of systemic inflammation (LPS translocation) and insulin resistance that actively catabolizes muscle tissue. Crucially, the paper highlights that this relationship is bidirectional: contracting muscle releases myokines (Irisin, BDNF) that maintain gut integrity. When muscle fails, the gut degrades further, accelerating the cycle. The review evaluates therapeutic interventions including Fecal Microbiota Transplantation (FMT), next-generation probiotics (e.g., L. plantarum TWK10), and targeted metabolites (Butyrate, Niacin) to break this cycle.
Institution: Henan University of Chinese Medicine, China.
Journal:Frontiers in Microbiology
Impact Evaluation: The impact score of this journal is ~4.0–5.2 (Impact Factor) / 8.5 (CiteScore), evaluated against a typical high-end range of 0–60+ for top general science. Therefore, this is a Medium-High impact journal, highly respectable in microbiology but distinct from elite general medical journals like NEJM or Lancet.
