Business
Column: Can Stanford tell the difference between scientific fact and fiction? Its pandemic conference raises doubts
On Oct. 4, Stanford University’s newly minted president, Jonathan Levin, opened an on-campus conference about pandemic policies by expressing the hope that the proceedings would “bring together people with different perspectives, engage in a day of discussion, and in that way, try to repair some of the rifts that opened during COVID.”
He was followed to the lectern by the conference organizer, Stanford public policy professor Jay Bhattacharya, who described the event’s goal as fostering “dialogue with one another rather than having a situation where the goal is to destroy people who disagree with you.”
He said he hoped that the conference would be a “model” for how to bring together people of divergent views.
Science and quackery cannot be treated as having scientific and moral equivalence.
— John P. Moore, Weill Cornell Medical College
If only it were. Within minutes of their opening remarks, their hopes were exploded.
That happened during the conference’s opening panel, which was labeled “Evidence-Based Decision Making During a Pandemic.”
Turning the conversation to the issue of COVID’s origins, panelist Andrew Noymer, who teaches about population health and disease prevention at UC Irvine, launched into a fact-free attack on Anthony Fauci, the former director of the National Institute of Allergy and Infectious Diseases. Fauci has become a target of relentless smears by right-wingers and congressional Republicans.
“I believe,” Noymer said, “that the origins of the SARS-CoV-2 virus are that it’s … an experimental virus that escaped from a lab and Tony Fauci is intimately linked to the funding for experiments that created this virus.”
There’s no evidence that the virus escaped from a lab, much less that Fauci as NIAID director funded any experiments that created the virus. No one on the panel called Noymer to account.
A few other low points during the day reflected the organizers’ having invited conspiracy mongers and purveyors of long-debunked claims to share the stage with public health and science professionals who have spent the last few years battling a tide of misinformation and disinformation about the pandemic.
Stanford posted videos of all the conference panels and speeches on its website and on YouTube on Friday, expanding the potential audience beyond the few hundred people who attended the event in person.
As I mentioned in an earlier column about the conference, the idea that universities such as Stanford should be arenas for airing all opinions in a search for truth is simplistic and historically incorrect. Universities have always had, and even embraced, the duty to draw the line between fact and fiction — to determine when an assertion or opinion falls below the line of intellectual acceptability.
“Science and quackery cannot be treated as having scientific and moral equivalence,” John P. Moore, a distinguished biologist and epidemiologist at Weill Cornell Medical College who played a part in debunking misinformation about the role of HIV in AIDS during the 1990s, wrote recently. “Do NASA scientists attend conferences by people who believe the moon-landing was faked? Do geographers and geologists attend conferences held by idiots who believe the earth is flat?Of course not.”
Stanford did some things right. After the initial conference agenda was published in August, it was criticized on social media and in the science community (and by me) for mainstreaming an “anti-science agenda (and revisionist history),” in the words of vaccine expert and pseudoscience debunker Peter Hotez.
Several more participants were added to the final roster in a possible effort to balance the lineup. (It may be that the organizers approached some of them before the original announcement came under attack.)
What worked to reduce the infection rate from COVID? According to researchers, bar, restaurant, school and gym closures; mask and vaccine mandates; and stay-at-home orders.
(Bollyky et. al, The Lancet)
This effort bore fruit. In the first session, for example, health policy experts Douglas K. Owens and Josh Salomon of Stanford’s medical school educated their fellow panelists in the realities of crafting social policies in the first months of a deadly pandemic with little-understood medical characteristics or health implications.
Yet a persistent subtext of the conference was that the social interventions taken against the pandemic, such as business and school closings, mask and social distancing advisories and lockdowns, were generally worse than the disease. This echoed the position of Bhattacharya, a co-author of the Great Barrington Declaration, a manifesto published in October 2020 that called for ending lockdowns and school closures and pursuing “herd immunity” through “natural infection” of almost everyone other than the aged and infirm.
During the opening panel, moderator Wilk Wilkinson, a blogger on the concept of “personal accountability,” offered the astonishing criticism that public health leaders “focused very narrowly on deaths from COVID, and often it came at the expense of other social values” such as “being able to visit people, … or putting children in school as they normally would go to school, or attend funerals.”
It fell to Salomon to observe tactfully that “in the early part of the pandemic, in March 2020, “it made sense to focus on mortality. We all saw … the stacks of body bags in New York City.” Over time, he said, social trade-offs from public health interventions can be weighed, as they are today. But if there’s a higher imperative for public health officials than reducing deaths from a deadly pandemic while it is in full cry, what is it?
As it happens, researchers have found that social interventions did succeed in reducing infections and mortality, a conclusion that was barely mentioned at the conference.
COVID death rates in U.S. states were reduced by restaurant, gym and pool shutdowns, vaccine mandates for school and government workers, and stay-at-home orders, according to a massive study published by the British medical journal The Lancet in April 2023. Infection rates were reduced by bar, restaurant and primary school closures; mask mandates; restrictions on large gatherings; stay-at-home orders; and vaccine mandates.
Social policies in place during the pandemic are easy to denigrate because their costs were evident but their positive effects were often invisible, Salomon observed. “It’s harder for us to recognize the lives that were saved, the hospital systems that were not overwhelmed, the … illnesses that were avoided.”
Throughout the conference, anti-government paranoia and misinformation about pandemic policies were strong on the wing. Rutgers biologist Bryce Nickels — who has accused scientists of “fraud” for concluding in a 2020 paper that COVID most likely originated in the natural spillover of the virus from animals via the wildlife trade in China, not through a laboratory experiment gone awry — expressed the conviction during the panel on the origins of COVID that “the pandemic was caused by reckless research and a lab accident.” No evidence has ever surfaced to support that theory.
Nickels insinuated that the scientists behind such research “have blood on their hands or culpability in some level.”
I asked Bhattacharya by email if comments such as Nickels’ and Noymer’s comported with his desire to eradicate from the debate over COVID “the goal … to destroy people who disagree with you.” He didn’t reply.
Levin told me by email that “revisiting pandemic policies, with the benefit of hindsight and data, is a valuable topic for study,” and that he thinks “we’ll learn more from that inquiry if we frame it around questions and evidence rather than ‘who was right.’”
Some presenters uttered evident misinformation. Consider Scott Atlas, a senior fellow at Stanford’s Hoover Institution and a former COVID advisor to the Trump administration, who attacked pandemic lockdowns and their advocates because lockdowns “failed to stop the dying, they failed to stop the spread — that’s the data.”
But this is a flagrant category error. No one argued that the lockdowns would stop the spread of COVID or “stop the dying.” They were consistently portrayed as policies to slow the spread and consequently mortality in order to relieve the crushing pressure on healthcare facilities and personnel long enough to enable them to get a handle on the pandemic — “flattening the curve” was the watchword. And over time, they succeeded in doing just that.
Then there’s Marty Makary, a prominent surgeon at Johns Hopkins University who made a name for himself during the pandemic by repeatedly predicting that the pandemic was on the verge of ending due to natural immunity, only to be consistently confounded by the appearance of successive new waves of deadly COVID variants.
Makary related during the opening panel that he was frustrated because once data arrived about the social effects of lockdowns “there was no interest in evaluating” what was “the largest public health intervention in modern history.”
But that’s just wrong. Data-driven analyses of social interventions surfaced even in the earliest days of the pandemic — including a multidiscipinary symposium sponsored by Stanford in the fall of 2021, featuring 54 experts from academia, public health and government.
Up to this day, the medical, public health and social effects of the pandemic and pandemic policies have been the subject of unrelenting study — more than 700,000 papers by nearly 2 million researchers thus far, according to an estimate offered by Stanford epidemiologist John P.A. Ionannidis in his closing conference remarks.
The conference organizers wanted to congratulate themselves for producing what Bhattacharya described as “the first event where people of very different viewpoints about what happened during the pandemic are going to speak to each other in a way that’s constructive.”
But a conference in which conspiratorial delusions and outright falsehoods were treated as deserving the same respect as scientifically validated research, and in which the authors of serious virological and epidemiological studies, as well as respected public health authorities, were subjected to smears, was nothing like “constructive.”
Considering Bhattacharya’s expectation that this conference should be a model for others, then: Let’s hope not.
Business
A new delivery bot is coming to L.A., built stronger to survive in these streets
The rolling robots that deliver groceries and hot meals across Los Angeles are getting an upgrade.
Coco Robotics, a UCLA-born startup that’s deployed more than 1,000 bots across the country, unveiled its next-generation machines on Thursday.
The new robots are bigger, tougher and better equipped for autonomy than their predecessors. The company will use them to expand into new markets and increase its presence in Los Angeles, where it makes deliveries through a partnership with DoorDash.
Dubbed Coco 2, the next-gen bots have upgraded cameras and front-facing lidar, a laser-based sensor used in self-driving cars. They will use hardware built by Nvidia, the Santa Clara-based artificial intelligence chip giant.
Coco co-founder and chief executive Zach Rash said Coco 2 will be able to make deliveries even in conditions unsafe for human drivers. The robot is fully submersible in case of flooding and is compatible with special snow tires.
Zach Rash, co-founder and CEO of Coco, opens the top of the new Coco 2 (Next-Gen) at the Coco Robotics headquarters in Venice.
(Kayla Bartkowski/Los Angeles Times)
Early this month, a cute Coco was recorded struggling through flooded roads in L.A.
“She’s doing her best!” said the person recording the video. “She is doing her best, you guys.”
Instagram followers cheered the bot on, with one posting, “Go coco, go,” and others calling for someone to help the robot.
“We want it to have a lot more reliability in the most extreme conditions where it’s either unsafe or uncomfortable for human drivers to be on the road,” Rash said. “Those are the exact times where everyone wants to order.”
The company will ramp up mass production of Coco 2 this summer, Rash said, aiming to produce 1,000 bots each month.
The design is sleek and simple, with a pink-and-white ombré paint job, the company’s name printed in lowercase, and a keypad for loading and unloading the cargo area. The robots have four wheels and a bigger internal compartment for carrying food and goods .
Many of the bots will be used for expansion into new markets across Europe and Asia, but they will also hit the streets in Los Angeles and operate alongside the older Coco bots.
Coco has about 300 bots in Los Angeles already, serving customers from Santa Monica and Venice to Westwood, Mid-City, West Hollywood, Hollywood, Echo Park, Silver Lake, downtown, Koreatown and the USC area.
The new Coco 2 (Next-Gen) drives along the sidewalk at the Coco Robotics headquarters in Venice.
(Kayla Bartkowski/Los Angeles Times)
The company is in discussion with officials in Culver City, Long Beach and Pasadena about bringing autonomous delivery to those communities.
There’s also been demand for the bots in Studio City, Burbank and the San Fernando Valley, according to Rash.
“A lot of the markets that we go into have been telling us they can’t hire enough people to do the deliveries and to continue to grow at the pace that customers want,” Rash said. “There’s quite a lot of area in Los Angeles that we can still cover.”
The bots already operate in Chicago, Miami and Helsinki, Finland. Last month, they arrived in Jersey City, N.J.
Late last year, Coco announced a partnership with DashMart, DoorDash’s delivery-only online store. The partnership allows Coco bots to deliver fresh groceries, electronics and household essentials as well as hot prepared meals.
With the release of Coco 2, the company is eyeing faster deliveries using bike lanes and road shoulders as opposed to just sidewalks, in cities where it’s safe to do so. Coco 2 can adapt more quickly to new environments and physical obstacles, the company said.
Zach Rash, co-founder and CEO of Coco.
(Kayla Bartkowski/Los Angeles Times)
Coco 2 is designed to operate autonomously, but there will still be human oversight in case the robot runs into trouble, Rash said. Damaged sidewalks or unexpected construction can stop a bot in its tracks.
The need for human supervision has created a new field of jobs for Angelenos.
Though there have been reports of pedestrians bullying the robots by knocking them over or blocking their path, Rash said the community response has been overall positive. The bots are meant to inspire affection.
“One of the design principles on the color and the name and a lot of the branding was to feel warm and friendly to people,” Rash said.
Coco plans to add thousands of bots to its fleet this year. The delivery service got its start as a dorm room project in 2020, when Rash was a student at UCLA. He co-founded the company with fellow student Brad Squicciarini.
The Santa Monica-based company has completed more than 500,000 zero-emission deliveries and its bots have collectively traveled around 1 million miles.
Coco chooses neighborhoods to deploy its bots based on density, prioritizing areas with restaurants clustered together and short delivery distances as well as places where parking is difficult.
The robots can relieve congestion by taking cars and motorbikes off the roads. Rash said there is so much demand for delivery services that the company’s bots are not taking jobs from human drivers.
Instead, Coco can fill gaps in the delivery market while saving merchants money and improving the safety of city streets.
“This vehicle is inherently a lot safer for communities than a car,” Rash said. “We believe our vehicles can operate the highest quality of service and we can do it at the lowest price point.”
Business
Trump orders federal agencies to stop using Anthropic’s AI after clash with Pentagon
President Trump on Friday directed federal agencies to stop using technology from San Francisco artificial intelligence company Anthropic, escalating a high-profile clash between the AI startup and the Pentagon over safety.
In a Friday post on the social media site Truth Social, Trump described the company as “radical left” and “woke.”
“We don’t need it, we don’t want it, and will not do business with them again!” Trump said.
The president’s harsh words mark a major escalation in the ongoing battle between some in the Trump administration and several technology companies over the use of artificial intelligence in defense tech.
Anthropic has been sparring with the Pentagon, which had threatened to end its $200-million contract with the company on Friday if it didn’t loosen restrictions on its AI model so it could be used for more military purposes. Anthropic had been asking for more guarantees that its tech wouldn’t be used for surveillance of Americans or autonomous weapons.
The tussle could hobble Anthropic’s business with the government. The Trump administration said the company was added to a sweeping national security blacklist, ordering federal agencies to immediately discontinue use of its products and barring any government contractors from maintaining ties with it.
Defense Secretary Pete Hegseth, who met with Anthropic’s Chief Executive Dario Amodei this week, criticized the tech company after Trump’s Truth Social post.
“Anthropic delivered a master class in arrogance and betrayal as well as a textbook case of how not to do business with the United States Government or the Pentagon,” he wrote Friday on social media site X.
Anthropic didn’t immediately respond to a request for comment.
Anthropic announced a two-year agreement with the Department of Defense in July to “prototype frontier AI capabilities that advance U.S. national security.”
The company has an AI chatbot called Claude, but it also built a custom AI system for U.S. national security customers.
On Thursday, Amodei signaled the company wouldn’t cave to the Department of Defense’s demands to loosen safety restrictions on its AI models.
The government has emphasized in negotiations that it wants to use Anthropic’s technology only for legal purposes, and the safeguards Anthropic wants are already covered by the law.
Still, Amodei was worried about Washington’s commitment.
“We have never raised objections to particular military operations nor attempted to limit use of our technology in an ad hoc manner,” he said in a blog post. “However, in a narrow set of cases, we believe AI can undermine, rather than defend, democratic values.”
Tech workers have backed Anthropic’s stance.
Unions and worker groups representing 700,000 employees at Amazon, Google and Microsoft said this week in a joint statement that they’re urging their employers to reject these demands as well if they have additional contracts with the Pentagon.
“Our employers are already complicit in providing their technologies to power mass atrocities and war crimes; capitulating to the Pentagon’s intimidation will only further implicate our labor in violence and repression,” the statement said.
Anthropic’s standoff with the U.S. government could benefit its competitors, such as Elon Musk’s xAI or OpenAI.
Sam Altman, chief executive of OpenAI, the company behind ChatGPT and one of Anthropic’s biggest competitors, told CNBC in an interview that he trusts Anthropic.
“I think they really do care about safety, and I’ve been happy that they’ve been supporting our war fighters,” he said. “I’m not sure where this is going to go.”
Anthropic has distinguished itself from its rivals by touting its concern about AI safety.
The company, valued at roughly $380 billion, is legally required to balance making money with advancing the company’s public benefit of “responsible development and maintenance of advanced AI for the long-term benefit of humanity.”
Developers, businesses, government agencies and other organizations use Anthropic’s tools. Its chatbot can generate code, write text and perform other tasks. Anthropic also offers an AI assistant for consumers and makes money from paid subscriptions as well as contracts. Unlike OpenAI, which is testing ads in ChatGPT, Anthropic has pledged not to show ads in its chatbot Claude.
The company has roughly 2,000 employees and has revenue equivalent to about $14 billion a year.
Business
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