Magnetic resonance imaging of the brain.
This past March, headlines suddenly flooded the Internet about a startup company called Nectome. Founded by two graduates of the Massachusetts Institute of Technology, the new company was charging people $10,000 to join a waiting list to have their brains embalmed, down to the last neuron, using an award-winning chemical compound.
While the lay public presumably burnt their wills and grew ever more excited about the end of humanity's quest for immortality, neurologists let out a collective sigh.
Essentially, participants' brains would turn to a substance like glass and remain in a state of near-perfect preservation indefinitely. "If memories can truly be preserved by a sufficiently good brain banking technique," Nectome's website explains, "we believe that within the century it could become feasible to digitize your preserved brain and use that information to recreate your mind." But as with most Faustian bargains, Nectome's proposition came with a serious caveat -- death.
That's right, in order for Nectome's process to properly preserve your connectome, the comprehensive map of the brain's neural connections, you must be alive (and under anesthesia) while the fluid is injected. This way, the company postulates, when the science advances enough to read and extract your memories someday, your vitrified brain will still contain your perfectly preserved essence--which can then be digitally recreated as a computer simulation.
Almost immediately this story gained buzz with punchy headlines: "Startup wants to upload your brain to the cloud, but has to kill you to do it," "San Junipero is real: Nectome wants to upload your brain," and "New tech firm promises eternal life, but you have to die."
While the lay public presumably burnt their wills and grew ever more excited about the end of humanity's quest for immortality, neurologists let out a collective sigh -- hype had struck the scientific community once again.
The truth about Nectome is that its claims are highly speculative and no hard science exists to suggest that our connectome is the key to our 'being,' nor that it can ever be digitally revived. "We haven't come even close to understanding even the most basic types of functioning in the brain," says neuroscientist Alex Fox, who was educated at the University of Queensland in Australia. "Memory storage in the brain is only a theoretical concept [and] there are some seriously huge gaps in our knowledge base that stand in the way of testing [the connectome] theory."
After the Nectome story broke, Harvard computational neuroscientist Sam Gershman tweeted out:
"Didn't anyone tell them that we've known the C Elegans (a microscopic worm) connectome for over a decade but haven't figured out how to reconstruct all of their memories? And that's only 7000 synapses compared to the trillions of synapses in the human brain!"
Hype can come from researchers themselves, who are under an enormous amount of pressure to publish original work and maintain funding.
How media coverage of Nectome went from an initial fastidiously researched article in the MIT Technology Review by veteran science journalist Antonio Regalado to the click-bait frenzy it became is a prime example of the 'science hype' phenomenon. According to Adam Auch, who holds a doctorate in philosophy from Dalhousie University in Nova Scotia, Canada, "Hype is a feature of all stages of the scientific dissemination process, from the initial circulation of preliminary findings within particular communities of scientists, to the process by which such findings come to be published in peer-reviewed journals, to the subsequent uptake these findings receive from the non-specialist press and the general public."
In the case of Nectome, hype was present from the word go. Riding the high of several major wins, including having raised over one million dollars in funding and partnering with well-known MIT neurologist Edward Boyden, Nectome founders Michael McCanna and Robert McIntyre launched their website on March 1, 2018. Just one month prior, they were able to purchase and preserve a newly deceased corpse in Portland, Oregon, showing that vitrifixation, their method of chemical preservation, could be used on a human specimen. It had previously won an award for preserving every synaptic structure on a rabbit brain.
The Nectome mission statement, found on its website, is laced with saccharine language that skirts the unproven nature of the procedure the company is peddling for big bucks: "Our mission is to preserve your brain well enough to keep all its memories intact: from that great chapter of your favorite book to the feeling of cold winter air, baking an apple pie, or having dinner with your friends and family."
This rhetoric is an example of hype that can come from researchers themselves, who are under an enormous amount of pressure to publish original work and maintain funding. As a result, there is a constant push to present science as "groundbreaking" when really, as is apparently the case with Nectome, it is only a small piece in a much larger effort.
Calling out the audacity of Nectome's posited future, neuroscientist Gershman commented to another publication, "The important question is whether the connectome is sufficient for memory: Can I reconstruct all memories knowing only the connections between neurons? The answer is almost certainly no, given our knowledge about how memories are stored (itself a controversial topic)."
The former home page of Nectome's website, which has now been replaced by a statement titled, "Response to recent press."
Furthermore, universities like MIT, who entered into a subcontract with Nectome, are under pressure to seek funding through partnerships with industry as a result of the Bayh-Dole Act of 1980. Also known as the Patent and Trademark Law Amendments Act, this piece of legislation allows universities to commercialize inventions developed under federally funded research programs, like Nectome's method of preserving brains, formally called Aldehyde-Stabilized Cryopreservation.
"[Universities use] every incentive now to talk about innovation," explains Dr. Ivan Oransky, president of the Association of Health Care Journalists and co-founder of retractionwatch.com, a blog that catalogues errors and fraud in published research. "Innovation to me is often a fancy word for hype. The role of journalists should not be to glorify what universities [say, but to] tell the closest version of the truth they can."
In this case, a combination of the hyperbolic press, combined with some impressively researched expose pieces, led MIT to cut its ties with Nectome on April 2nd, 2018, just two weeks after the news of their company broke.
The solution to the dangers of hype, experts say, is a more scientifically literate public—and less clickbait-driven journalism.
Because of its multi-layered nature, science hype carries several disturbing consequences. For one, exaggerated coverage of a discovery could mislead the public by giving them false hope or unfounded worry. And media hype can contribute to a general mistrust of science. In these instances, people might, as Auch puts it, "fall back on previously held beliefs, evocative narratives, or comforting biases instead of well-justified scientific evidence."
All of this is especially dangerous in today's 'fake news' era, when companies or political parties sow public confusion for their own benefit, such as with global warming. In the case of Nectome, the danger is that people might opt to end their lives based off a lacking scientific theory. In fact, the company is hoping to enlist terminal patients in California, where doctor-assisted suicide is legal. And 25 people have paid the $10,000 to join Nectome's waiting list, including Sam Altman, president of the famed startup accelerator Y Combinator. Nectome now has offered to refund the money.
Founders McCanna and McIntyre did not return repeated requests for comment for this article. A new statement on their website begins: "Vitrifixation today is a powerful research tool, but needs more research and development before anyone considers applying it in a context other than research."
The solution to the dangers of hype, experts say, is a more scientifically literate public—and less clickbait-driven journalism. Until then, it seems that companies like Nectome will continue to enjoy at least 15 minutes of fame.
AI was integral to creating Moderna's mRNA vaccine against COVID.
But the truth is that before ChatGPT nabbed the public’s attention, AI was already here, and it was doing more important things than writing essays for lazy college students. Case in point: It was key to saving the lives of tens of millions of people.
AI-designed mRNA vaccines
As Dave Johnson, chief data and AI officer at Moderna, told MIT Technology Review‘s In Machines We Trust podcast in 2022, AI was integral to creating the company’s highly effective mRNA vaccine against COVID. Moderna and Pfizer/BioNTech’s mRNA vaccines collectively saved between 15 and 20 million lives, according to one estimate from 2022.
Johnson described how AI was hard at work at Moderna, well before COVID arose to infect billions. The pharmaceutical company focuses on finding mRNA therapies to fight off infectious disease, treat cancer, or thwart genetic illness, among other medical applications. Messenger RNA molecules are essentially molecular instructions for cells that tell them how to create specific proteins, which do everything from fighting infection, to catalyzing reactions, to relaying cellular messages.
Johnson and his team put AI and automated robots to work making lots of different mRNAs for scientists to experiment with. Moderna quickly went from making about 30 per month to more than one thousand. They then created AI algorithms to optimize mRNA to maximize protein production in the body — more bang for the biological buck.
For Johnson and his team’s next trick, they used AI to automate science, itself. Once Moderna’s scientists have an mRNA to experiment with, they do pre-clinical tests in the lab. They then pore over reams of data to see which mRNAs could progress to the next stage: animal trials. This process is long, repetitive, and soul-sucking — ill-suited to a creative scientist but great for a mindless AI algorithm. With scientists’ input, models were made to automate this tedious process.
“We don’t think about AI in the context of replacing humans,” says Dave Johnson, chief data and AI officer at Moderna. “We always think about it in terms of this human-machine collaboration, because they’re good at different things. Humans are really good at creativity and flexibility and insight, whereas machines are really good at precision and giving the exact same result every single time and doing it at scale and speed.”
All these AI systems were in put in place over the past decade. Then COVID showed up. So when the genome sequence of the coronavirus was made public in January 2020, Moderna was off to the races pumping out and testing mRNAs that would tell cells how to manufacture the coronavirus’s spike protein so that the body’s immune system would recognize and destroy it. Within 42 days, the company had an mRNA vaccine ready to be tested in humans. It eventually went into hundreds of millions of arms.
Biotech harnesses the power of AI
Moderna is now turning its attention to other ailments that could be solved with mRNA, and the company is continuing to lean on AI. Scientists are still coming to Johnson with automation requests, which he happily obliges.
“We don’t think about AI in the context of replacing humans,” he told the Me, Myself, and AI podcast. “We always think about it in terms of this human-machine collaboration, because they’re good at different things. Humans are really good at creativity and flexibility and insight, whereas machines are really good at precision and giving the exact same result every single time and doing it at scale and speed.”
Moderna, which was founded as a “digital biotech,” is undoubtedly the poster child of AI use in mRNA vaccines. Moderna recently signed a deal with IBM to use the company’s quantum computers as well as its proprietary generative AI, MoLFormer.
Moderna’s success is encouraging other companies to follow its example. In January, BioNTech, which partnered with Pfizer to make the other highly effective mRNA vaccine against COVID, acquired the company InstaDeep for $440 million to implement its machine learning AI across its mRNA medicine platform. And in May, Chinese technology giant Baidu announced an AI tool that designs super-optimized mRNA sequences in minutes. A nearly countless number of mRNA molecules can code for the same protein, but some are more stable and result in the production of more proteins. Baidu’s AI, called “LinearDesign,” finds these mRNAs. The company licensed the tool to French pharmaceutical company Sanofi.
Writing in the journal Accounts of Chemical Research in late 2021, Sebastian M. Castillo-Hair and Georg Seelig, computer engineers who focus on synthetic biology at the University of Washington, forecast that AI machine learning models will further accelerate the biotechnology research process, putting mRNA medicine into overdrive to the benefit of all.
This article originally appeared on Big Think, home of the brightest minds and biggest ideas of all time.
