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Javier E

If We Knew Then What We Know Now About Covid, What Would We Have Done Differently? - WSJ - 0 views

www.wsj.com/...covid-lessons-learned-9dd5566f

politics us history crisis culture policy trump pandemic response

shared by Javier E on 12 Mar 23 - No Cached
  • A small cadre of aerosol scientists had a different theory. They suspected that Covid-19 was transmitted not so much by droplets but by smaller infectious aerosol particles that could travel on air currents way farther than 6 feet and linger in the air for hours. Some of the aerosol particles, they believed, were small enough to penetrate the cloth masks widely used at the time.
  • For much of 2020, doctors and public-health officials thought the virus was transmitted through droplets emitted from one person’s mouth and touched or inhaled by another person nearby. We were advised to stay at least 6 feet away from each other to avoid the droplets
  • The group had a hard time getting public-health officials to embrace their theory. For one thing, many of them were engineers, not doctors.
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  • “My first and biggest wish is that we had known early that Covid-19 was airborne,”
  • , “Once you’ve realized that, it informs an entirely different strategy for protection.” Masking, ventilation and air cleaning become key, as well as avoiding high-risk encounters with strangers, he says.
  • Instead of washing our produce and wearing hand-sewn cloth masks, we could have made sure to avoid superspreader events and worn more-effective N95 masks or their equivalent. “We could have made more of an effort to develop and distribute N95s to everyone,” says Dr. Volckens. “We could have had an Operation Warp Speed for masks.”
  • We didn’t realize how important clear, straight talk would be to maintaining public trust. If we had, we could have explained the biological nature of a virus and warned that Covid-19 would change in unpredictable ways.  
  • In the face of a pandemic, he says, the public needs an early basic and blunt lesson in virology
  • “The science is really important, but if you don’t get the trust and communication right, it can only take you so far,”
  • and mutates, and since we’ve never seen this particular virus before, we will need to take unprecedented actions and we will make mistakes, he says.
  • Since the public wasn’t prepared, “people weren’t able to pivot when the knowledge changed,”
  • By the time the vaccines became available, public trust had been eroded by myriad contradictory messages—about the usefulness of masks, the ways in which the virus could be spread, and whether the virus would have an end date.
  • , the absence of a single, trusted source of clear information meant that many people gave up on trying to stay current or dismissed the different points of advice as partisan and untrustworthy.
  • We didn’t know how difficult it would be to get the basic data needed to make good public-health and medical decisions. If we’d had the data, we could have more effectively allocated scarce resources
  • For much of the pandemic, doctors, epidemiologists, and state and local governments had no way to find out in real time how many people were contracting Covid-19, getting hospitalized and dying
  • Doctors didn’t know what medicines worked. Governors and mayors didn’t have the information they needed to know whether to require masks. School officials lacked the information needed to know whether it was safe to open schools.
  • people didn’t know whether it was OK to visit elderly relatives or go to a dinner party.
  • just months before the outbreak of the pandemic, the Council of State and Territorial Epidemiologists released a white paper detailing the urgent need to modernize the nation’s public-health system still reliant on manual data collection methods—paper records, phone calls, spreadsheets and faxes.
  • While the U.K. and Israel were collecting and disseminating Covid case data promptly, in the U.S. the CDC couldn’t. It didn’t have a centralized health-data collection system like those countries did, but rather relied on voluntary reporting by underfunded state and local public-health systems and hospitals.
  • doctors and scientists say they had to depend on information from Israel, the U.K. and South Africa to understand the nature of new variants and the effectiveness of treatments and vaccines. They relied heavily on private data collection efforts such as a dashboard at Johns Hopkins University’s Coronavirus Resource Center that tallied cases, deaths and vaccine rates globally.
  • With good data, Dr. Ranney says, she could have better managed staffing and taken steps to alleviate the strain on doctors and nurses by arranging child care for them.
  • To solve the data problem, Dr. Ranney says, we need to build a public-health system that can collect and disseminate data and acts like an electrical grid. The power company sees a storm coming and lines up repair crews.
  • If we’d known how damaging lockdowns would be to mental health, physical health and the economy, we could have taken a more strategic approach to closing businesses and keeping people at home.
  • t many doctors say they were crucial at the start of the pandemic to give doctors and hospitals a chance to figure out how to accommodate and treat the avalanche of very sick patients.
  • The measures reduced deaths, according to many studies—but at a steep cost.
  • The lockdowns didn’t have to be so harmful, some scientists say. They could have been more carefully tailored to protect the most vulnerable, such as those in nursing homes and retirement communities, and to minimize widespread disruption.
  • Lockdowns could, during Covid-19 surges, close places such as bars and restaurants where the virus is most likely to spread, while allowing other businesses to stay open with safety precautions like masking and ventilation in place.  
  • If England’s March 23, 2020, lockdown had begun one week earlier, the measure would have nearly halved the estimated 48,600 deaths in the first wave of England’s pandemic
  • If the lockdown had begun a week later, deaths in the same period would have more than doubled
  • The key isn’t to have the lockdowns last a long time, but that they are deployed earlier,
  • It is possible to avoid lockdowns altogether. Taiwan, South Korea and Hong Kong—all countries experienced at handling disease outbreaks such as SARS in 2003 and MERS—avoided lockdowns by widespread masking, tracking the spread of the virus through testing and contact tracing and quarantining infected individuals.
  • Had we known that even a mild case of Covid-19 could result in long Covid and other serious chronic health problems, we might have calculated our own personal risk differently and taken more care.
  • Early in the pandemic, public-health officials were clear: The people at increased risk for severe Covid-19 illness were older, immunocompromised, had chronic kidney disease, Type 2 diabetes or serious heart conditions
  • t had the unfortunate effect of giving a false sense of security to people who weren’t in those high-risk categories. Once case rates dropped, vaccines became available and fear of the virus wore off, many people let their guard down, ditching masks, spending time in crowded indoor places.
  • it has become clear that even people with mild cases of Covid-19 can develop long-term serious and debilitating diseases. Long Covid, whose symptoms include months of persistent fatigue, shortness of breath, muscle aches and brain fog, hasn’t been the virus’s only nasty surprise
  • In February 2022, a study found that, for at least a year, people who had Covid-19 had a substantially increased risk of heart disease—even people who were younger and had not been hospitalized
  • respiratory conditions.
  • Some scientists now suspect that Covid-19 might be capable of affecting nearly every organ system in the body. It may play a role in the activation of dormant viruses and latent autoimmune conditions people didn’t know they had
  •  A blood test, he says, would tell people if they are at higher risk of long Covid and whether they should have antivirals on hand to take right away should they contract Covid-19.
  • If the risks of long Covid had been known, would people have reacted differently, especially given the confusion over masks and lockdowns and variants? Perhaps. At the least, many people might not have assumed they were out of the woods just because they didn’t have any of the risk factors.
Javier E

ChatGPT AI Emits Metric Tons of Carbon, Stanford Report Says - 0 views

gizmodo.com/ons-stanford-report-1850288635

carbon ai training report emissions

shared by Javier E on 08 Apr 23 - No Cached
  • A new report released today by the Stanford Institute for Human-Centered Artificial Intelligence estimates the amount of energy needed to train AI models like OpenAI’s GPT-3, which powers the world-famous ChatGPT, could power an average American’s home for hundreds of years. Of the three AI models reviewed in the research, OpenAI’s system was by far the most energy-hungry.
  • OpenAI’s model reportedly released 502 metric tons of carbon during its training. To put that in perspective, that’s 1.4 times more carbon than Gopher and a whopping 20.1 times more than BLOOM. GPT-3 also required the most power consumption of the lot at 1,287 MWh.
  • “If we’re just scaling without any regard to the environmental impacts, we can get ourselves into a situation where we are doing more harm than good with machine learning models,” Stanford researcher ​​Peter Henderson said last year. “We really want to mitigate that as much as possible and bring net social good.”
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  • If all of this sounds familiar, it’s because we basically saw this same environmental dynamic play out several years ago with tech’s last big obsession: Crypto and web3. In that case, Bitcoin emerged as the industry’s obvious environmental sore spot due to the vast amounts of energy needed to mine coins in its proof of work model. Some estimates suggest Bitocin alone requires more energy every year than Norway’s annual electricity consumption.
  • rs of criticism from environmental activists however led the crypto industry to make some changes. Ethereum, the second largest currency on the blockchain, officially switched last year to a proof of stake model which supporters claim could reduce its power usage by over 99%. Other smaller coins similarly were designed with energy efficiency in mind. In the grand scheme of things, large language models are still in their infancy and it’s far from certain how its environmental report card will play out.
Javier E

Europe's Energy Risks Go Beyond Natural Gas - The New York Times - 0 views

www.nytimes.com/...eu-energy-crisis-gas.html

shared by Javier E on 17 Dec 22 - No Cached
  • To fill the gap, Europe had to go searching for new sources and found it primarily in liquefied natural gas from the United States, where production is expected to hit a record high this year. LNG is about 600 times more compact than its gaseous form and can be moved anywhere in the world through specialized ships and ports.
  • In 2017, wind surpassed hydroelectricity as the largest renewable source of power for the European Union.
  • A record year for solar and wind power saved the European Union €11 billion in gas costs this year, generating around a quarter of total electricity since the war began
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  • In May, the European Commission put out a plan for achieving energy independence from Russia that leaned further into the renewable energy transition. Known as REPowerEU, it encourages diversifying fossil fuel sources and accelerating the adoption of renewable energy sources like wind and solar, and also pushes for greater energy savings.
  • major challenges remain. Solar power, in particular, has supply chain risks of its own. China has a near-monopoly on the raw materials and technical expertise to produce photovoltaic cells for solar panels. An analysis from Bloomberg BNEF found it would take nearly $150 billion for Europe to build the plants to manufacture enough solar capacity and storage to meet demand by 2030.
  • Achieving energy security and meeting climate goals will take far greater investment and cooperation between European countries than ever before, according to energy experts.
  • “One of Europe’s founding fathers — Jean Monnet — used to say that Europe would be made out of crisis,” said Simone Tagliapietra, a senior fellow at Bruegel, an energy think tank. “Europe will come out of this energy crisis more united when it comes to energy and climate policy.”
Javier E

Opinion | China's Economy Is in Serious Trouble - The New York Times - 0 views

www.nytimes.com/...china-economy-xi.html

china economy stagnation economic strategy

shared by Javier E on 19 Jan 24 - No Cached
  • Some analysts expected the Chinese economy to boom after it lifted the draconian “zero Covid” measures it had adopted to contain the pandemic. Instead, China has underperformed by just about every economic indicator other than official G.D.P., which supposedly grew by 5.2 percent.
  • the Chinese economy seems to be stumbling. Even the official statistics say that China is experiencing Japan-style deflation and high youth unemployment. It’s not a full-blown crisis, at least not yet, but there’s reason to believe that China is entering an era of stagnation and disappointment.
  • Why is China’s economy, which only a few years ago seemed headed for world domination, in trouble?
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  • With consumers buying so little, at least relative to the Chinese economy’s productive capacity, how can the nation generate enough demand to keep that capacity in use? The main answer, as Michael Pettis points out, has been to promote extremely high rates of investment, more than 40 percent of G.D.P. The trouble is that it’s hard to invest that much money without running into severely diminishing returns.
  • financial repression — paying low interest on savings and making cheap loans to favored borrowers — that holds down household income and diverts it to government-controlled investment, a weak social safety net that causes families to accumulate savings to deal with possible emergencies, and more.
  • Part of the answer is bad leadership. President Xi Jinping is starting to look like a poor economic manager, whose propensity for arbitrary interventions — which is something autocrats tend to do — has stifled private initiative.
  • But China’s working-age population peaked around 2010 and has been declining ever since. While China has shown impressive technological capacity in some areas, its overall productivity also appears to be stagnating.
  • very high rates of investment may be sustainable if, like China in the early 2000s, you have a rapidly growing work force and high productivity growth as you catch up with Western economies
  • This, in short, isn’t a nation that can productively invest 40 percent of G.D.P. Something has to give.
  • the government was able to mask the problem of inadequate consumer spending for a number of years by promoting a gigantic real estate bubble. In fact, China’s real estate sector became insanely large by international standards.
  • what China must do seems straightforward: end financial repression and allow more of the economy’s income to flow through to households, and strengthen the social safety net so that consumers don’t feel the need to hoard cash. And as it does this it can ramp down its unsustainable investment spending.
  • But there are powerful players, especially state-owned enterprises, that benefit from financial repression
  • And when it comes to strengthening the safety net, the leader of this supposedly communist regime sounds a bit like the governor of Mississippi, denouncing “welfarism” that creates “lazy people.”
  • Japan ended up managing its downshifting well. It avoided mass unemployment, it never lost social and political cohesion, and real G.D.P. per working-age adult actually rose 50 percent over the next three decades, not far short of growth in the United States.
  • My great concern is that China may not respond nearly as well. How cohesive will China be in the face of economic trouble? Will it try to prop up its economy with an export surge that will run headlong into Western efforts to promote green technologies? Scariest of all, will it try to distract from domestic difficulties by engaging in military adventurism?
Javier E

There has never been more music made - but most artists go hungry - 0 views

www.thetimes.co.uk/...st-artists-go-hungry-nx7c2vg8m

music industry costs success

shared by Javier E on 06 Apr 24 - No Cached
  • “Fifteen years ago,” says Will Burgess, of Practise Music, a management company, “if you wanted to record a song you needed two days in a studio, at £400 a day, plus a sound engineer at £100 a day. That’s the cost of a laptop, on which you can make unlimited amounts of music today.”
  • These days you don’t need to be able to play a musical instrument to be a musician and you don’t need a studio. All you need is a computer. “I’ve created songs that have gone to No 1 in my daughter’s bedroom downstairs,” says Crispin Hunt, former lead singer of the Longpigs and now a songwriter who has worked with Lana Del Rey, Rod Stewart and Ellie Goulding.
  • You can sketch out a musical idea on a laptop, you can add instrumentation, you can record your own vocals. If you want to collaborate with others around the world, no problem: when Luke Sital-Singh, a singer-songwriter who works in London, needs drums, he asks a friend with a studio in Lewes to send the files to his computer. He’s working with a guitarist in Santa Fe, to whom he sends a rough version of the song; his collaborator sends him back a guitar track.
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  • Special effects software can give your music all sorts of subtle vibes. For $299, for instance, you can make your song sound as though it was recorded in Sound City Studios in Los Angeles, on the $20,000 vintage microphones with the $100,000 mixing console that recorded Fleetwood Mac and Nirvana. For $259 you can simulate the Beatles’ Abbey Road Studios
  • In the past, when you assembled all the tracks for a song, it would have to be mixed and mastered in a studio by a sound engineer adjusting the levels. Now an app will do it for you.
  • Now, all you need to do is get the files uploaded to streaming services. If you are signed with a label, they will do that for you, but you don’t need a record deal to do that. There are companies such as DistroKid that act as postmen: for £17.99 a year, you can ensure that the song you created in your bedroom is available on multiple streaming platforms.
  • Some artists thrive on social media. It suits lively, quirky performers like Ryder, and artists who want to experiment with different genres. Mxmtoon, a 23-year-old American YouTuber, singer-songwriter and ukulele player, is also a streamer on Twitch, a platform on which people watch others playing online games, has published graphic novels and made a podcast. Maia — the artist’s name — describes mxmtoon as “a multi-hyphenated project”.
  • More traditional musicians struggle with some aspects of tech. “We get together,” says Sital-Singh of his contemporaries in the business, “and have a little moan about how everyone’s telling us to do TikTok and we can’t bring ourselves to dance and we feel old and decrepit.”
  • Even digital natives struggle sometimes: “I already have nostalgia for a simpler past, even though I’m 23,” says Maia. “It’s exciting but it does put so much pressure on a normal individual to be an entrepreneur to advertise their own personal brand.”
  • Journalists, regrettably, no longer have the power they once did. What matters these days is social media. The A&R (artists and repertoire) people at record companies who would once have hung out in basement clubs scouting for new talent now sit in meetings examining the data on artists’ social media performance.
  • Now that the whole world’s music is available all over the world at the click of a play button, there’s a greater diversity among top-selling artists.
  • People making videos of themselves performing or dancing to the song on TikTok helped propel it to the stratosphere. It has been streamed a billion times. Sethi now plays to packed venues in America and Europe; last year, he performed at Coachella, America’s Glastonbury. “Without digital technology I would be a south Asian indy musician, working on the fringes of Bollywood,” he says from his home in New York.
  • For musicians, it’s more ambiguous. Because the costs of making music are lower, anybody with ambition can have a go. Many more people, as a result, are getting into the music business. According to PPL, the organisation which distributes money to music performers and rights-holders, the number of registered artists has risen from 61,310, when the industry was at its nadir, to 165,039 last year.
  • That makes the business fiercely competitive. As Will Page, former chief economist at Spotify and author of Tarzan Economics, points out, around 100,000 tracks are being uploaded on to Spotify every day: that’s more than were released in an entire calendar year in the 1980s
  • That has cemented the power of the record companies. When the digital revolution started, it was widely expected that record labels would cease to exist, and be replaced by a model in which everybody promoted and distributed their own music. That’s not what has happened: because it’s so difficult to get noticed, embryonic stars need record labels to promote them.
  • A label invests in the production of the music, the styling of the band, video content, interviews, touring and the crucial business of getting a song on a streaming service’s playlist that suggests the song to listeners to suit their tastes. Artists that are signed with major labels get paid more, per stream, than those that aren’t.
  • Three quarters of streamed tracks have one of the major record labels behind them. And even though streaming is booming, it doesn’t contribute much to the incomes of the vast majority of artists.
  • Most artists stay hungry. A single stream will earn a musician anywhere between 0.1p and 2.4p. Crispin Hunt reckons that on average a million streams for a song — a wild ambition for most musicians — will, if you have to pay a cut to a record company, probably make you £1,000
  • If you’ve then got to pay your manager 20 per cent, and divide the rest between the four band members, “it barely pays for a Sainsbury’s shop. That’s why music is dominated by middle-class people called Crispin whose parents can afford to buy them an electric guitar and a laptop.”
  • For Christie Gardner, half of Lilo, a two-woman band, it helps planning gigs. “You can see where your listeners are and you can tell what they’re listening to. We make decisions about shows on that basis.” But for most bands, the economics of live performance are pretty grim.
  • Deathcrash’s manager Joe Taylor says that the band has been offered the opportunity of a European tour supporting a much bigger act. It would be good for their career but not their bank balance. The fees per show would be €200; once the costs of a sound engineer, a tour van, a driver, fuel, hotels and a carnet for importing musical instruments into the EU had been factored in, they would lose £15,000.
  • music has always been an uneconomic business, which people subsidise through other activities. The fiddler in the village pub probably worked in the fields in the daytime and played for money and fun in the evenings and at the weekend, rather as Ryder ran a juice bar and sang at weddings. These days, there is also the wafer-thin chance that they might end up being one of the 1,200 artists who make more than $1 million a year on Spotify
  • There are some signs that in the new musical economy, the balance of power between artists and the big record companies may have tipped slightly in the artists’ favour
  • the share of streaming revenues going to artists increased from 19.7 per cent to 23.3 per cent between 2012 and 2021 and that going to songwriters has risen from 8 per cent in 2008 to 15 per cent in 2021. “Outcomes for consumers, artists and songwriters,” it concludes, “are getting better.”
  • Most of the extra revenues generated by streaming are going to the top earners. But the stars are not the only ones benefiting. Between 2017 and 2022, the number of artists earning over $1 million on Spotify more than doubled, but so did the number earning over $10,000
  • more than two fifths of artists who release their own music aren’t expecting to make a full-time career. They’re in it for fun, for the love of it, or to be able to show their mum that they have released a song on Spotify.
  • It seems likely that the more music is being created, the greater the chance that wonderful tunes are being written, but it’s not necessarily the case. The best stuff might get buried under a mound of mediocrity.
Javier E

Opinion | Is This a Sputnik Moment? - The New York Times - 0 views

www.nytimes.com/...sia-nuclear-space-sputnik.html

satellite russia nuclear threat

shared by Javier E on 17 Feb 24 - No Cached
  • Both the Soviet Union and United States conducted high-altitude nuclear detonation (HAND) tests in the 1950s and 1960s, including the U.S. Starfish Prime test in 1962 when the United States detonated a 1.4 megaton warhead atop a Thor missile 250 miles above the Earth. The explosion created an electromagnetic pulse that spread through the atmosphere, frying electronics on land hundreds of miles away from the test, causing electrical surges on airplanes and in power grids, and disrupting radio communications. The boosted nuclear radiation in space accumulated on satellites in orbit, damaging or destroying one-third of them.
  • Nor is it new for Russia to violate nuclear arms control agreements. In recent years, Russia has violated the 1987 Intermediate-Range Nuclear Forces Treaty, suspended its participation in the 2010 New Strategic Arms Reduction Treaty, and de-ratified the Comprehensive Test Ban Treaty. Backing out of arms control commitments is part of Russia’s modus operandi.
  • What appears unprecedented now is that Russia could be working toward deploying nuclear weapons on satellites, which are constantly orbiting the Earth, to be detonated at times and locations of Moscow’s choosing.
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  • Russian military doctrine states that Russia would use nuclear weapons in the event of attacks against key Russian assets or threats to the existence of the state, and experts believe Russia could use nuclear weapons first in a crisis to signal resolve.
  • Russia has seen how important space-based assets can be on the battlefield in Ukraine. Starlink, with its thousands of satellites orbiting Earth, provides Ukrainian forces with uninterrupted communication. The U.S. Department of Defense openly discusses its investments in large satellite constellations. Hundreds of satellites used for missile warning, intelligence and communications are seen as a way to be more resilient against a variety of growing space threats. Moscow would look for ways to target these large satellite constellations and to erode the advantage they provide.
  • Russia has been testing weapons that target space capabilities or using them on the battlefield in Ukraine. In November 2021, Moscow conducted an antisatellite test by launching a missile at one of its own defunct satellites. It has also employed systems designed to jam Starlink and GPS to degrade Ukraine’s communication systems, as well as the drones and munitions the country uses to defend itself. It is not surprising that Moscow would seek to develop a more powerful way to cause widespread damage to constellations of satellites.
  • But a nuclear detonation in space is indiscriminate. It would degrade or destroy any satellites in its path and within the same orbital region. It wouldn’t just affect U.S. satellites but also the aggressor’s own satellites, as well as an unknown number of satellites owned by the over 90 countries operating in space, and astronauts living on the International Space Station and Chinese space station
  • Russia, however, has less to lose: Its once vaunted space program is in decline, dinged by sanctions, and said it intends to withdraw from the International Space Station program after 2024. Moscow is now well behind China in its total number of operating on-orbit satellites.
  • Third, we need to be realistic about prospects for future arms control with Russia. Moscow has shown a disregard for its treaty commitments. Just last month, Moscow rejected attempts by the Biden administration to restart bilateral arms control talks. Rather than trying again, the administration should instead focus on strengthening deterrence by improving our own capabilities and building multilateral coalitions for responsible nuclear behavior
  • Finally, policymakers need to protect our intelligence sources and intelligence gathering methods
  • With Russian officials already demanding proof of what the United States knows, declassifying those sources and methods plays directly into Moscow’s hands and jeopardizes those channels for future intelligence collection.
Javier E

The AI Revolution Is Already Losing Steam - WSJ - 0 views

www.wsj.com/...-already-losing-steam-a93478b1

ai revolution analysis evaluation 2024 economics

shared by Javier E on 04 Jun 24 - No Cached
  • Most of the measurable and qualitative improvements in today’s large language model AIs like OpenAI’s ChatGPT and Google’s Gemini—including their talents for writing and analysis—come down to shoving ever more data into them. 
  • AI could become a commodity
  • To train next generation AIs, engineers are turning to “synthetic data,” which is data generated by other AIs. That approach didn’t work to create better self-driving technology for vehicles, and there is plenty of evidence it will be no better for large language models,
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  • AIs like ChatGPT rapidly got better in their early days, but what we’ve seen in the past 14-and-a-half months are only incremental gains, says Marcus. “The truth is, the core capabilities of these systems have either reached a plateau, or at least have slowed down in their improvement,” he adds.
  • the gaps between the performance of various AI models are closing. All of the best proprietary AI models are converging on about the same scores on tests of their abilities, and even free, open-source models, like those from Meta and Mistral, are catching up.
  • models work by digesting huge volumes of text, and it’s undeniable that up to now, simply adding more has led to better capabilities. But a major barrier to continuing down this path is that companies have already trained their AIs on more or less the entire internet, and are running out of additional data to hoover up. There aren’t 10 more internets’ worth of human-generated content for today’s AIs to inhale.
  • A mature technology is one where everyone knows how to build it. Absent profound breakthroughs—which become exceedingly rare—no one has an edge in performance
  • companies look for efficiencies, and whoever is winning shifts from who is in the lead to who can cut costs to the bone. The last major technology this happened with was electric vehicles, and now it appears to be happening to AI.
  • the future for AI startups—like OpenAI and Anthropic—could be dim.
  • Microsoft and Google will be able to entice enough users to make their AI investments worthwhile, doing so will require spending vast amounts of money over a long period of time, leaving even the best-funded AI startups—with their comparatively paltry warchests—unable to compete.
  • Many other AI startups, even well-funded ones, are apparently in talks to sell themselves.
  • the bottom line is that for a popular service that relies on generative AI, the costs of running it far exceed the already eye-watering cost of training it.
  • That difference is alarming, but what really matters to the long-term health of the industry is how much it costs to run AIs. 
  • Changing people’s mindsets and habits will be among the biggest barriers to swift adoption of AI. That is a remarkably consistent pattern across the rollout of all new technologies.
  • the industry spent $50 billion on chips from Nvidia to train AI in 2023, but brought in only $3 billion in revenue.
  • For an almost entirely ad-supported company like Google, which is now offering AI-generated summaries across billions of search results, analysts believe delivering AI answers on those searches will eat into the company’s margins
  • Google, Microsoft and others said their revenue from cloud services went up, which they attributed in part to those services powering other company’s AIs. But sustaining that revenue depends on other companies and startups getting enough value out of AI to justify continuing to fork over billions of dollars to train and run those systems
  • three in four white-collar workers now use AI at work. Another survey, from corporate expense-management and tracking company Ramp, shows about a third of companies pay for at least one AI tool, up from 21% a year ago.
  • OpenAI doesn’t disclose its annual revenue, but the Financial Times reported in December that it was at least $2 billion, and that the company thought it could double that amount by 2025. 
  • That is still a far cry from the revenue needed to justify OpenAI’s now nearly $90 billion valuation
  • the company excels at generating interest and attention, but it’s unclear how many of those users will stick around. 
  • AI isn’t nearly the productivity booster it has been touted as
  • While these systems can help some people do their jobs, they can’t actually replace them. This means they are unlikely to help companies save on payroll. He compares it to the way that self-driving trucks have been slow to arrive, in part because it turns out that driving a truck is just one part of a truck driver’s job.
  • Add in the myriad challenges of using AI at work. For example, AIs still make up fake information,
  • getting the most out of open-ended chatbots isn’t intuitive, and workers will need significant training and time to adjust.
  • That’s because AI has to think anew every single time something is asked of it, and the resources that AI uses when it generates an answer are far larger than what it takes to, say, return a conventional search result
  • None of this is to say that today’s AI won’t, in the long run, transform all sorts of jobs and industries. The problem is that the current level of investment—in startups and by big companies—seems to be predicated on the idea that AI is going to get so much better, so fast, and be adopted so quickly that its impact on our lives and the economy is hard to comprehend. 
  • Mounting evidence suggests that won’t be the case.
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