With the amount of data both Moderna and Pfizer now possess, they could easily build the most powerful generative LLM's for vaccine and drug design on the planet, but I expect them to fuck this one up too.
voices are up that pfizer is about to go broke. same thing for moderna I hope. They never made anything before this. Pfizer in its early days seems to have made some good stuff, but that is probably more than 50 years ago.
When I was in college, I did some woodworking at the college shop. I bought some oak from a local milling operation. The company had, based on someone's college thesis paper, completely invested in a new type of wood dryer system that supposedly dried wood in 1/2 the time of the previous system. When I went to use that oak, it was actually dangerous, sort of exploded off the saw, as it was filled with internal stresses from being dried too fast. The company eventually went bankrupt, all for trying to leap ahead with untested tech. Sometimes the lessons you learn aren't in school itself. Wrong tech kills.
Of course, in that case they (unlike the US government) weren't actually trying to kill me, but the lesson stands.
Protein synthesis is the goal, mRNA is the cheap means for manufacturing, and mandates stemming from" emergencies" are the way to ensure experimental subjects. It won't work unless there's control of the manufacturing, which is highly unlikely. Manufacturing outside the human body - of an entire protein and not just spike - may bring success, but at a cost. I actually don't think using AI or other algorithms for solving (or more precisely and accurately ... approximating for) the Protein Folding Problem is a bad thing, but not letting people know they are being used to experiment with is. Some people want experimental drugs/treatment as their last resort, but full informed consent must always be given.
Apparently for some reason I can't pin comments anymore, but consider both of yours pined, since I share the same perspective and was vocal on Twitter about it for a while.
As an addendum, as LLMs/AI models stand right now and the majority of the field holds the same belief, they think they need more data, the more the better, to train better models.
Now if you know your product/tech will backfire, and a portion of the scientific community will attempt to find all it's flaws and "fix it", what better source of data than that ? Now they have a vast amount of data where they can train their models to create, and fix their tech on the fly and substantially faster pace.
Yes, but like anything else Garbage In, Garbage Out (GIGO). Who's doing the training, what's getting filtered out, and what are the biases before anything sees the light of day? I'm a skeptic.
The smart move is using a foundational model such as ChatGPT 4 as the basis for their applications but I doubt they will do the smart move. Given how they either bought or partnered with many AI centered companies developing cutting edge models, that is probably the way they will go.
I am skeptic they will be able to do it, but not skeptical competent people will be able to do it.
I hope lots of people wake up to the vaccine propaganda and stop running to their doc for more jabs, any jabs, because there is not one safe and effective jab
The entire platform is a MISERABLE FAILURE and needs to be immediately and permanently HALTED!:
(1) The LNPs necessary to protect the genetic material from immune system attack and to allow transfection into cells is ITSELF irredeemablly toxic, and:
(2) any foreign (non-human) protein produced as a result of the gene-transfer drugs will UNAVOIDABLY trigger a pathogenic immune response targeting the body’s own cells and tissues, causing an uncontrollable and unknowable amount of damage.
It's more about cancer, Alzheimer's, and solving the Protein Folding Problem. Vax is just the way to do experiments and gather data on a continual, rotating basis. At this point, I think we're all pretty much lab rats outside of the elite, even the unvaxxed, just a matter of to what degree.
Professor as Cyprinus carpio notes below, "WHAT BENEFIT? Minimal unless you combine this work with paying off the regulators and abandoning decades of best practice, GMP & the precautionary principle. 100 day fast tracked products expose the scam."
None of this can end well. Dr. Zaius observation of mankind applies: from the evidence his wisdom walks hand in hand with his idiocy.
"Dave Johnson: I’m chief data and AI officer at Moderna. In my role, I’m responsible for all of our enterprise data functions, from data engineering to data science integration.
...
I spent many years doing independent consulting in a software engineering data science capacity. And when I finished my Ph.D., I realized academia wasn’t really for me; I wanted to do applications, and I ended up with a consulting firm doing work for large pharmaceutical companies.
So I spent a number of years doing that, and it turned out to be a real great marriage of my skill sets: understanding of science, understanding of data, understanding of software engineering."
Not casting aspersions on this guy, but from his own description I'm not seeing a lot of signs that he was industry caliber in terms of software engineering. No mention of a year or two at a proper software company like Microsoft, where he would learn cloud engineering and the like, let alone top tier companies.
There's a big difference between data scientists who hack a few python scripts and people who can build large-scale cloud applications or write kernel code for Linux. Physicists can be very good developers, but I've never met a data scientist who had much in the way of software engineering expertise.
Well, no one person is responsible for these endevaours, I highly suspect he had entire team of other data scientists, a few machine learning specialists, and of course as many software engineers as he needed to scale up the systems.
Data scientists are focused on... well... the data, analyzing, finding patterns, labelling the data, probability, math stuff.
Most likely ChatGPT 4 and Co-Pilot are bridging this gap. Up until now most AI research was going the data+math way, algo their way into something functional. Language-based models changed this. I wonder what language model focused on Math will be able to do.
So now we have a virus whose existence has never been proven. Actually, the original Chinese stories about the novel whatever have been disproven. The 100% in silico concept name aptly ConceptVirtual-2 was then acclaimed as the terrorist #1. Warped efforts produced a miracle medicine that is now proven to cause more harm than anything else invented by the medical science people ever before. It’s all a game on the screen. Add more programming done by cheap compartmentalized contractors, and you have a never-ending story of health issues addressed by genius untested miracle drugs that cause more adverse reactions and drive the need to work on more miracle drugs that… and the story will go on.
The official, peer-reviewed papers published by top medical journals show that we don’t know what is happening. It’s all out of control. The fourth year on. Why isn’t it stopped right now?
If you were producing toilet paper rolls, and the machine would spoil the product, tear it apart, contaminate it with unwanted chemicals or colors, you would lock down the whole plant, all brilliant engineers, mechanics and regular workers - like, right away. You can’t lose a single cent on a malformed roll of toilet paper.
Why isn’t it done when human health and life is at stake? Actually, the run is in the opposite direction. Let’s produce more of this stuff that we know doesn’t work safe or effective. More, more. Flood the world with fantasy. The technology is both corrupt and unproven scientifically, but who cares. Adverse effects, ah, no, the patient is to blame, anyway, it’s their lifestyle that makes them ill. New Grave World.
Making a bad product fast - so fast that the public hasn’t the time to realize how bad it is - is a win win for the profiteers. They sell the garbage and then can sell more garbage to “remedy” the issues caused by it.
The only remedy to this business model is for consumers to stop buying the garbage they pump out. We need widespread refusal to buy big pharma products.
With the amount of data both Moderna and Pfizer now possess, they could easily build the most powerful generative LLM's for vaccine and drug design on the planet, but I expect them to fuck this one up too.
They're playing with God's chemistry set...screwing it up is a virtual certainty.
voices are up that pfizer is about to go broke. same thing for moderna I hope. They never made anything before this. Pfizer in its early days seems to have made some good stuff, but that is probably more than 50 years ago.
They will most likely get broken up, I doubt the companies will go under.
Maybe they will fire sale their acquisitions in the last 2 years, both companies bought dozens of other companies.
you are probably right. Vampires don't die.
When I was in college, I did some woodworking at the college shop. I bought some oak from a local milling operation. The company had, based on someone's college thesis paper, completely invested in a new type of wood dryer system that supposedly dried wood in 1/2 the time of the previous system. When I went to use that oak, it was actually dangerous, sort of exploded off the saw, as it was filled with internal stresses from being dried too fast. The company eventually went bankrupt, all for trying to leap ahead with untested tech. Sometimes the lessons you learn aren't in school itself. Wrong tech kills.
Of course, in that case they (unlike the US government) weren't actually trying to kill me, but the lesson stands.
in Dutch we even have a saying, haste and hurry seldom are good (does not sound in English, but oh well)
In Brazilian Portuguese we have a saying "The cheap ends up expensive" doesn't sound right in English but the idea is there 😆.
mRNA is super cheap to produce compared to other vaccines...very expensive in the end.
The corresponding English idiom is "Haste makes waste"
I will commit this one to mind, thank you 😁
'False economy' is another
ah ! thank you! learning something new every day
"Vaccine development is a long, complex process, often lasting 10-15 years, and involves a combination of public and private involvement."
https://historyofvaccines.org/vaccines-101/how-are-vaccines-made/vaccine-development-testing-and-regulation
Of what possible benefit is there to using AI for mass synthesis if your downstream trials bottlenecks remain?
Minimal unless you combine this work with paying off the regulators and abandoning decades of best practice, GMP & the precautionary principle.
100 day fast tracked products expose the scam.
100% they will either figure out a full digitalized immune system or a new organoid based approach. Given the "success" of their products.
I think the selling point has always been the same, "speed".
Protein synthesis is the goal, mRNA is the cheap means for manufacturing, and mandates stemming from" emergencies" are the way to ensure experimental subjects. It won't work unless there's control of the manufacturing, which is highly unlikely. Manufacturing outside the human body - of an entire protein and not just spike - may bring success, but at a cost. I actually don't think using AI or other algorithms for solving (or more precisely and accurately ... approximating for) the Protein Folding Problem is a bad thing, but not letting people know they are being used to experiment with is. Some people want experimental drugs/treatment as their last resort, but full informed consent must always be given.
Apparently for some reason I can't pin comments anymore, but consider both of yours pined, since I share the same perspective and was vocal on Twitter about it for a while.
As an addendum, as LLMs/AI models stand right now and the majority of the field holds the same belief, they think they need more data, the more the better, to train better models.
Now if you know your product/tech will backfire, and a portion of the scientific community will attempt to find all it's flaws and "fix it", what better source of data than that ? Now they have a vast amount of data where they can train their models to create, and fix their tech on the fly and substantially faster pace.
And all this human labor came for free ?
Well not free, from what I can tell the taxpayers are paying for it - https://leemuller.substack.com/p/the-process-for-real-world-evidence
I meant all the social media data and scientific discussion and papers produced in the last 3 years.
You train a LLM on that plus other proprietary data you have and you may fix many problems your tech had. This is me just "thinking out loud" though.
Yes, but like anything else Garbage In, Garbage Out (GIGO). Who's doing the training, what's getting filtered out, and what are the biases before anything sees the light of day? I'm a skeptic.
The smart move is using a foundational model such as ChatGPT 4 as the basis for their applications but I doubt they will do the smart move. Given how they either bought or partnered with many AI centered companies developing cutting edge models, that is probably the way they will go.
I am skeptic they will be able to do it, but not skeptical competent people will be able to do it.
I hope lots of people wake up to the vaccine propaganda and stop running to their doc for more jabs, any jabs, because there is not one safe and effective jab
Current numbers point out that merely 2% of people are going for new mRNA jabs. It is basically dead, for COVID.
The entire platform is a MISERABLE FAILURE and needs to be immediately and permanently HALTED!:
(1) The LNPs necessary to protect the genetic material from immune system attack and to allow transfection into cells is ITSELF irredeemablly toxic, and:
(2) any foreign (non-human) protein produced as a result of the gene-transfer drugs will UNAVOIDABLY trigger a pathogenic immune response targeting the body’s own cells and tissues, causing an uncontrollable and unknowable amount of damage.
It's more about cancer, Alzheimer's, and solving the Protein Folding Problem. Vax is just the way to do experiments and gather data on a continual, rotating basis. At this point, I think we're all pretty much lab rats outside of the elite, even the unvaxxed, just a matter of to what degree.
Somebody needs to remind Moderna that killing people is not "Just good business"!
😆 this is how these companies and politicians see human sacrifice.
Nothing personal, just good business.
they better be careful, soon no lab rats will be alive anymore. and neither will moderna.
Professor as Cyprinus carpio notes below, "WHAT BENEFIT? Minimal unless you combine this work with paying off the regulators and abandoning decades of best practice, GMP & the precautionary principle. 100 day fast tracked products expose the scam."
None of this can end well. Dr. Zaius observation of mankind applies: from the evidence his wisdom walks hand in hand with his idiocy.
Interesting article. This stood out to me:
"Dave Johnson: I’m chief data and AI officer at Moderna. In my role, I’m responsible for all of our enterprise data functions, from data engineering to data science integration.
...
I spent many years doing independent consulting in a software engineering data science capacity. And when I finished my Ph.D., I realized academia wasn’t really for me; I wanted to do applications, and I ended up with a consulting firm doing work for large pharmaceutical companies.
So I spent a number of years doing that, and it turned out to be a real great marriage of my skill sets: understanding of science, understanding of data, understanding of software engineering."
Not casting aspersions on this guy, but from his own description I'm not seeing a lot of signs that he was industry caliber in terms of software engineering. No mention of a year or two at a proper software company like Microsoft, where he would learn cloud engineering and the like, let alone top tier companies.
There's a big difference between data scientists who hack a few python scripts and people who can build large-scale cloud applications or write kernel code for Linux. Physicists can be very good developers, but I've never met a data scientist who had much in the way of software engineering expertise.
Well, no one person is responsible for these endevaours, I highly suspect he had entire team of other data scientists, a few machine learning specialists, and of course as many software engineers as he needed to scale up the systems.
Data scientists are focused on... well... the data, analyzing, finding patterns, labelling the data, probability, math stuff.
Most likely ChatGPT 4 and Co-Pilot are bridging this gap. Up until now most AI research was going the data+math way, algo their way into something functional. Language-based models changed this. I wonder what language model focused on Math will be able to do.
So now we have a virus whose existence has never been proven. Actually, the original Chinese stories about the novel whatever have been disproven. The 100% in silico concept name aptly ConceptVirtual-2 was then acclaimed as the terrorist #1. Warped efforts produced a miracle medicine that is now proven to cause more harm than anything else invented by the medical science people ever before. It’s all a game on the screen. Add more programming done by cheap compartmentalized contractors, and you have a never-ending story of health issues addressed by genius untested miracle drugs that cause more adverse reactions and drive the need to work on more miracle drugs that… and the story will go on.
The official, peer-reviewed papers published by top medical journals show that we don’t know what is happening. It’s all out of control. The fourth year on. Why isn’t it stopped right now?
If you were producing toilet paper rolls, and the machine would spoil the product, tear it apart, contaminate it with unwanted chemicals or colors, you would lock down the whole plant, all brilliant engineers, mechanics and regular workers - like, right away. You can’t lose a single cent on a malformed roll of toilet paper.
Why isn’t it done when human health and life is at stake? Actually, the run is in the opposite direction. Let’s produce more of this stuff that we know doesn’t work safe or effective. More, more. Flood the world with fantasy. The technology is both corrupt and unproven scientifically, but who cares. Adverse effects, ah, no, the patient is to blame, anyway, it’s their lifestyle that makes them ill. New Grave World.
PFE will be sued into bankruptcy by the millions of Americans who were killed, injured, and/or disabled by Fauci's poison death shot.
Are these people nuts, or do they want to corner the world's most lethal injection.
"We don't know what it will do, but it ought to be good, no great."
And the government is good with this?
They already created the most lethal one. Now they want to create fixes for the dozens of problems they created.
Best business model one can think of
It's only good business if people keep taking the stuff. Looks like global sales are falling for all these snake oil purveyors.
But sales for the treatments of the first failed product are skyrocketing 😎 (this is a sarcastic emoji lol)
So many "vaccines" and so few "healthy" arms...
No human liability. They can blame the robots for the slaughter and nobody goes to jail;-)
Perfect.
Off topic, but it's good to see the joke's on Stephen Colbert
https://billricejr.substack.com/p/the-jokes-on-stephen-colbert/comments#comment-42505328
Making a bad product fast - so fast that the public hasn’t the time to realize how bad it is - is a win win for the profiteers. They sell the garbage and then can sell more garbage to “remedy” the issues caused by it.
The only remedy to this business model is for consumers to stop buying the garbage they pump out. We need widespread refusal to buy big pharma products.