Sable Systems International 🐭🐀🧝🏼‍♀️

Do adult humans have interscapular brown adipose tissue? 🔬 A question we’ve been asking for ~10 years. Evidence (including ours) suggests this classical BAT depot may persist into adulthood—but it remains speculative.

There's an old joke in systems biology called "How Biologists Fix a Radio." A biologist, tasked with figuring out why a radio doesn't work, removes components one by one and catalogs the result. Remove this transistor: the radio makes a horrible screeching sound. Conclusion: this is the "horrible screeching transistor." Remove another component: the radio goes silent. Conclusion: this is the "silence transistor." This is essentially what we do with genomics. We see which genes are mutated in cancer and assume they must be "cancer genes." We see which genes are differentially expressed and assume they must be "important." But correlation is not causation, and a parts list is not a circuit diagram. You can have a complete inventory of every resistor, capacitor, and transistor in a radio and still have no idea how it plays music.

As the world falls apart, so does the U.S. scientific system: >40% of NIH-funded scientists are canceling research >25% are laying off staff Two-thirds are telling students to leave academia The effects of this will be deep and felt for a very long time.

A mini-rant abut AI and longevity. They say "Artificial Superintelligence would take only a few years to cure cancer, solve longevity, and defeat death itself'. This is a common claim by pro-AI lobbyists, accelerationists, and naive tech-fetishists. But the claim makes no sense. The recent success of LLMs does NOT suggest that ASIs could easily cure diseases or solve longevity, for at least two reasons. 1) The data problem. Generative AI for art, music, and language succeeded mostly because AI companies could steal billions of examples of art, music, and language from the internet, to build their base models. They weren't just trained on academic papers _about_ art, music, and language. They were trained on real _examples_ of art, music, and language. There are no analogous biomedical data sets with billions of data points that would allow accurate modelling of every biochemical detail of human physiology, disease, and aging. ASIs can't just read academic papers about human biology to solve longevity. They'd need direct access to vast quantities of biomedical data that simply don't exist in any easy-to-access forms. And they'd need very detailed, reliable, validated data about a wide range of people across different ages, sexes, ethnicities, genotypes, and medical conditions. Moreover, medical privacy laws would make it extremely difficult and wildly unethical to collect such a vast data set from real humans about every molecular-level detail of their bodies. 2) The feedback problem. LLMs also work well because the AI companies could refine their output with additional feedback from human brains (through Reinforcement Learning from Human Feedback, RLHF). But there is nothing analogous to that for modeling human bodies, biochemistry, and disease processes. There are no known methods of Reinforcement Learning from Physiological Feedback. And the physiological feedback would have to be long-term, over spans of years to decades, taking into account thousands of possible side-effects for any given intervention. There's no way to rush animal and human clinical trials -- however clever ASI might become at 'drug discovery'. More generally, there would be no fast feedback loops from users about model performance. GenAI and LLMs succeeded partly because developers within companies, and customers outside companies, could give very fast feedback about how well the models were functioning. They could just look at the output (images, songs, text), and then tweak, refine, test, and interpret models very quickly, based on how good they were at generating art, music, and language. In biomedical research, there would be no fast feedback loops from human bodies about how well ASI-suggested interventions are actually affecting human bodies, over the long term, across different lifestyles, including all the tradeoffs and side-effects. It's interesting that most of the people arguing that 'ASI would cure all diseases and aging' are young tech bros who know a lot about computers, but almost nothing about organic chemistry, human genomics, biomedical research, drug discovery, clinical trials, the evolutionary biology of senescence, evolutionary medicine, medical ethics, or the decades of frustrations and failures in longevity research. They think that 'fixing the human body' would be as simple as debugging a few thousand lines of code. Look, I'm all for curing diseases and promoting longevity. If we took the hundreds of billions of dollars per year that are currently spent on trying to build ASI, and we devoted that money instead to longevity research, that would increase the amount of funding in the longevity space by at least 100-fold. And we'd probably solve longevity much faster by targeting it directly than by trying to summon ASI as a magical cure-all. ASIs has some potential benefits (and many grievous risks and downsides). But it's totally irresponsible of pro-AI lobbyists to argue that ASIs could magically & quickly cure all human diseases, or solve longevity, or end death. And it's totally irresponsible of them to claim that anyone opposed to ASI development is 'pro-death'.

The FDA has announced at least 7 people have contracted E. coli linked to cheddar cheese made from raw milk.

Vaccine roll out to start at University of Kent 🤦🏼‍♀️ Anyone allowing their children to inject this poison needs their heads testing! Has Covid taught you nothing!