Debesh Mandal

This is 100% correct

RFS: Agent to manage GMP for any CDMO. AI-powered CDMO which manages GMP with agent.

Prediction that the next massive advance with AI model usage will be when they play the instagram trick of guessing your next prompt / auto-completing your prompt in the background and pre-rendering the response to make models feel instant

Saw a company recently that is developing a GLP1 combo that *increases* muscle mass whilst reducing fat. Still in mice but very cool

People seem to have forgotten that you can use evidence as a substitute for vibes to be convincing. The Delve exposé is the latter and offers such a detailed account of verifiable evidence that it's hard not to be a believer. I have no horse, just an observer

I do remember

Sid has created a list of 14 proposals to make the biotech industry more Patient First. But out of these, only 1, 2 and 6 have detailed policy proposals behind them. Anyone looking to work in biotech policy should look at credible paths to implementing the others!

@steveruizok It always did you were just trading your time for code

@FurkanGozukara Is 1x $2.5m tomahawk vs. 100x $25k drones the embodiment of humanity's 1 gorilla vs. 100 men conundrum

This is insane. The new $35k drone has the exact same optical terrain-scanning tech as a $2.5M Tomahawk missile. If GPS is jammed, it literally looks at the ground to navigate. The era of multi-million dollar missiles is over.

@OpenAINewsroom @astral_sh @charliermarsh is the 🐐

We've reached an agreement to acquire Astral. After we close, OpenAI plans for @astral_sh to join our Codex team, with a continued focus on building great tools and advancing the shared mission of making developers more productive. openai.com/index/openai-t…

@bryan_johnson Would hemodialysis also reduce microplastics in blood?

Leeches to improve testosterone and sexual function. Will look into this and see if worth doing an experiment.

@gmiller ASI's biggest impact will be in convincing people to change their behaviour, edging its impact inventing new things

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'.

Humanity literally just discovered the real possibility that nucleotide-based life originated in outer space, why are people not freaking out more?

@CuriosityonX Wow!

BREAKING🚨: ALL FIVE types of nucleic acid bases, the building blocks of LIFE 'DNA and RNA', have been found in samples collected from asteroid Ryugu

Does anyone have intel on what happened to blacksmiths during the industrial revolution Sankey diagram of blacksmith to new professions would be interesting

@nickcammarata Ouija board effect + ant-scale trial and error

I don’t actually know how to process this, what’s a reasonable explanation of what is going on here

@ChemVagabond @_DimensionCap @karpathy @modal Really cool work Frank!

We @_DimensionCap ported @karpathy's autoresearch framework to biology. We let Claude run 50 experiments over the weekend on protein thermostability prediction via @modal. It beat a recent baseline (TemBERTure) using a 20x smaller model. Code + research blog later this week!

@beffjezos @extropic THRML sounds cool!

In 3.5 years @extropic: -reinvented how to use the transistor -reinvented architectures for probabilistic compute -reinvented deep learning for thermo compute -created our CUDA-like THRML -created our TF-like framework (coming soon) -scaled our systems 1000x yoy (3 gens of TSUs)

@zanehkoch I was absolutely not expecting anything that cool! Was waiting for the study showing that animals developed a rare new psychosis and was pleasantly suprised

@debesh hahaha thanks!

First tweet with a 🧵emoji that was 100% worth reading