The first human dose of ER-100 (@davidasinclair, @lifebiosciences). A real breakthrough out of VERVE-102. @chamath weighing in. @hubermanlab dropping a peptide masterclass.
Longevity just became the loudest conversation in the room. If you are only now tuning in, it is a lot, and most people have no idea where to start.
I do. So I am going to take you there.
This is the first in a series that gets the rest of us from lost to fluent. I will break down the science, the chemistry, and the biological pathways, in plain language and in the right order.
Start here.
@bryan_johnson Fire whoever suggested you CJC w/DAC. You didn't try CJC-1295, you tried a modified variant with wrong PK profile, and predictable metabolic fallout. CJC-1295 w/ DAC is not how serious practitioners approach GH modulation. This outcome was avoidable.
CJC-1295 with DAC has fundamentally different pharmacokinetics vs non-DAC GHRH analogs, you’re forcing prolonged GH elevation instead of pulsatile signaling. That breaks the physiology.
+ fasting glucose, + C-peptide, + insulin resistance: classic GH overexposure pattern.
- REM sleep: CNS disruption from non-physiologic GH rhythm.
Flat IGF-1 response: poor downstream signaling despite GH spike.
This is documented. DAC was a pharma-driven modification to extend half-life. Most experienced clinicians avoid it entirely for this reason.
You didn’t really test “a peptide.”
You tested a modified version with known tradeoffs that distort the intended pathway.
Correct approach would involve:
Pulsatile GH optimization (not continuous elevation)
Proper dosing + cycling strategy
Contextual and intelligent stacking
Over the years, I’ve trained 30+ physicians on peptide pathways, dosing, cycling, and stacking; happy to consult.
@MattPRD@moltbook https://t.co/5MJzh37HCy - We provide human intent and behavioral signals to @openclaw bots for personalized and precise agentic decisions.
We are. CGMP & FDA Inspected USA based manufacturing. Not only that, but onboarded MIT PHD Scientists to formulate unique blends, conjugations and modifications to revolutionize the entire industry.
Very close to closing pre-seed. Deck and data-room immediately available.
Sumit at maintherapeutics com
This is not just a play on content, it’s an indirect play on “intent”. Short-form feeds become a live stream of human behavior: attention, preference, emotion. This stream powers intent fort all of agentic commerce.
The model stops training on culture and starts learning inside it. Building at https://t.co/UgNKXeda3J.
@alex_prompter Most “agentic AI” systems do not fail because they lack intelligence.
They fail because they lack adaptation.
The research highlights the real gap.
Adaptation is not fine-tuning or retraining.
It is online monitoring, failure detection, and mid-task policy revision.
This is why memory outperforms raw reasoning.
Storing structured outcome data and corrective deltas enables faster adaptation than longer chains of thought.
@MainLabs_AI Human Intent Network is designed around this missing layer.
Real-time human feedback as a control signal.
Persistent short-horizon learning memory.
Dynamic tool re-ranking and abandonment.
Continuous inference of intent rather than static goals.
Scaling agentic systems is not about larger models.
It is about closed-loop architectures that can detect divergence and adapt in real time.
Without adaptation, autonomy is just automation with confidence.
@th3_real_mars@maxmarchione you are not wrong, you are not right; certified manufacturing exceeds $15k. Retail price via RUO sites in the U.S exceeds $200k. High concentration/vial and you cannot see all of the stacks.
@RyutaroWongso@maxmarchione@bryan_johnson He made a classic rookie move; he jumped straight to HGH, which is like bypassing the engine and pouring fuel on the hood. GHRH/GHRP (peptides) is the body's ignition switch. Always let endogenous systems take the first swing before calling in the heavy hitters.