masterlongevity.

35.1K posts

masterlongevity.

masterlongevity.

@masterlongevity

Neuroscientist,investor, clinical dev consultant, glassblower, fiction lover

San Francisco, CA Katılım Eylül 2013
1.8K Takip Edilen1.7K Takipçiler
StripMallGuy
StripMallGuy@realEstateTrent·
We had our first kid when I was 40, second when I was 44. I’m now 46, and our third is due next month. There’s something nice about raising kids when you’re at a time in life when your career is established, you’re not hustling to get by, and you have much more control over your time.
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D Lavvv
D Lavvv@1lifeonelove·
@realEstateTrent We all have our own journey but I think the “hustle”my children witnessed growing up w/ young parents showed them what it takes to make it. I’m 44 with grandbabies now and I love helping my children with their families while they’re in their hustle era. All love
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masterlongevity.
masterlongevity.@masterlongevity·
1st at 42 , 2nd at 50. Funny to read all this bs about energy . If you stay in shape thrre is no energy problem. I do pony rides, wrestle, play basketball, race them, bike, do everything with them and they travel everywhere with me. Grateful to have kids at this age. No financial burden, much wiser and much more patient
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Riley Jane Meli
Riley Jane Meli@oldwomaninwoods·
@akafaceUS Why not just cook your food, I mean, it's already in the pan, a few minutes more and it would be done.
GIF
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Penelope 🌸
Penelope 🌸@peneloperayyyy·
@akafaceUS People who say this is medium rare probably eat ketchup with steak lol
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masterlongevity.
masterlongevity.@masterlongevity·
@dr_alphalyrae Meet people with kids and / or people not in tech. Healthcare is biggest employer in sf, not tech
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Vega Shah
Vega Shah@dr_alphalyrae·
but seriously has anyone in the bay area figured out how to make net new, non-transactional friendships as an adult?
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Rohin Dhar
Rohin Dhar@rohindhar·
San Francisco commission proposes banning the sale of pets
Rohin Dhar tweet media
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masterlongevity.
masterlongevity.@masterlongevity·
@celinehalioua Yep and his view is a thqt of a small bubble in sf. 80% of people in sf dont work in tech, and at least half in tech dont think about just getting rich
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Celine Halioua
Celine Halioua@celinehalioua·
it's honestly such a blessing having grown up with not a lot of $ whenever the SF-induced AI FOMO inevitably creeps in, i just remember that im doing approx 1000X better than i ever thought i would/could, in my wildest dreams & everything else is gravy
Deedy@deedydas

The vibes in SF feel pretty frenetic right now. The divide in outcomes is the worst I've ever seen. Over the last 5yrs, a group of ~10k people - employees at Anthropic, OpenAI, xAI, Nvidia, Meta TBD, founders - have hit retirement wealth of well above $20M (back of the envelope AI estimation). Everyone outside that group feels like they can work their well-paying (but <$500k) job for their whole life and never get there. Worse yet, layoffs are in full swing. Many software engineers feel like their life's skill is no longer useful. The day to day role of most jobs has changed overnight with AI. As a result, 1. The corporate ladder looks like the wrong building to climb. Everyone's trying to align with a new set of career "paths": should I be a founder? Is it too late to join Anthropic / OpenAI? should I get into AI? what company stock will 10x next? People are demanding higher salaries and switching jobs more and more. 2. There’s a deep malaise about work (and its future). Why even work at all for “peanuts”? Will my job even exist in a few years? Many feel helpless. You hear the “permanent underclass” conversation a lot, esp from young people. It's hard to focus on doing good work when you think "man, if I joined Anthropic 2yrs ago, I could retire" 3. The mid to late middle managers feel paralyzed. Many have families and don't feel like they have the energy or network to just "start a company". They don't particularly have any AI skills. They see the writing on the wall: middle management is being hollowed out in many companies. 4. The rich aren’t particularly happy either. No one is shedding tears for them (and rightfully so). But those who have "made it" experience a profound lack of purpose too. Some have gone from <$150k to >$50M in a few years with no ramp. It flips your life plans upside down. For some, comparison is the thief of joy. For some, they escape to NYC to "live life". For others still, they start companies "just cuz", often to win status points. They never imagined that by age 30, they'd be set. I once asked a post-economic founder friend why they didn't just sell the co and they said "and do what? right now, everyone wants to talk to me. if i sell, I will only have money." I understand that many reading this scoff at the champagne problems of the valley. Society is warped in this tech bubble. What is often well-off anywhere else in the world is bang average here. Unlike many other places, tenure, intelligence and hard work can be loosely correlated with outcomes in the Bay. Living through a societally transformative gold rush in that environment can be paralyzing. "Am I in the right place? Should I move? Is there time still left? Am I gonna make it?" It psychologically torments many who have moved here in search of "success". Ironically, a frequent side effect of this torment is to spin up the very products making everyone rich in hopes that you too can vibecode your path to economic enlightenment.

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masterlongevity.
masterlongevity.@masterlongevity·
@parmita You can definitely induce dementia in multiple mouse models. Dale schenk 1st immunized mice against abeta in the early 90s i believe, leading to development of anti-abeta vaccines and mabs
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Parmita Mishra
Parmita Mishra@parmita·
Not JUST red-line moral! It is additionally ridiculous that we use mouse proxies so often for drug discovery. My CSO, Dr. Boudoukha: "We modeled Alzheimer's in mice. In my career, I modeled them in disease organoids. Because NO MOUSE ON EARTH can even GET dementia." If a drug needs mouse testing, it is not happening in our lab. Our aim is to become the standard for human-relevant models. Saving lives might require some mouse testing, but this should be the exception, not the rule, per the FDA itself. So, we are building revenue through Cleopatra, our screens on liver-on-chips and our tox foundation model that sits on top of it. Once we derisk the actual toxicology process with our hardware and infra, we will move into making massively derisked drugs.
Parmita Mishra tweet media
Babak Javid@javid_lab

@parmita I don't know your research model. But I'm presuming any "drug" you discover, you will refuse to have tested on animals by anyone, right? Even if that means it never gets approved for actual medical use. Because it seems to be a red line moral issue for you?

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masterlongevity.
masterlongevity.@masterlongevity·
@parmita I hope youre right but im skeptical about the speed of regulatory change
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Parmita Mishra
Parmita Mishra@parmita·
largely agreed, with a few refinements. for mAbs and ADCs the timeline is faster than the general "FDA-takes-years" assumption - that's exactly why the agency picked them first. december 2025 draft mAb guidance is operating now, not in five years. tox is the frontier moving fastest. liver MPS got ISTAND-qualified for DILI in january 2026 hepatotox replacement shipping today, not pending. cardiotox and nephrotox organoid panels are right behind it. preclinical efficacy from human cells is exactly what my company generates so "could change" is closer to "is changing, from the inside." we're directionally aligned. only place i'd push is on speed: for monoclonals and ADCs the change is already moving, not five years out.
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masterlongevity.
masterlongevity.@masterlongevity·
Not just safety and toxicity, but i assume even that change will take years. Fda initiatives to actual change generally takes years. Personally i think animal testing is too rigorous but still think pretty necessary to better characterize toxicity. Preclinical efficacy also generally needed to advance but could change
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masterlongevity.
masterlongevity.@masterlongevity·
@GeneInvesting Thanks. Key point….”Global” T1, T2 and ECV values were calculated by averaging all 16 segments from three short-axis slices. “. This is not what was done in ntla trial. They used basal septum ecv which doesnt average whole lv, so you cant ise in a formula for whole lv.
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masterlongevity.
masterlongevity.@masterlongevity·
Im going to end this conversation. Precision matters and you are making unsubstantiated claims because you dont know enough. Not sure why i get sucked into these conversations thinking they will be in good faith. The current standard for amyloid progression in cardiac amyloidosis is ecv. I dont think its a great one either but it is current standard. The new PET agents will be better. No one in amyloidosis field uses your lv mass calculation for amyloid regression . Every article is about ecv and you wont be able to find specific articles in cardiac amyloidosis that use your calculations
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Intellia Therapeutics
Intellia Therapeutics@intelliatx·
This weekend, you'll find the Intellia team at the European Society of Cardiology (@escardio) Heart Failure Congress in Barcelona, Spain. Looking forward to our presentation on May 11. HCPs: Be sure to tune in! intelliatx.com
Intellia Therapeutics tweet media
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masterlongevity.
masterlongevity.@masterlongevity·
You need as much training on prompting as you do on math and understanding of cardiac structure From claude 1.Slice ≠ whole LV. Basal septum ECV in ATTR-CM is almost always the highest ECV in the heart — there’s a well-described base-to-apex gradient. Using it as a global multiplier overestimates total ECM at both timepoints, and more importantly, the change in basal septal ECV doesn’t track the change in global ECV linearly. You’d want a 16-segment mean ecv
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