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Javier E

It's not just vibes. Americans' perception of the economy has completely changed. - ABC... - 0 views

  • Applying the same pre-pandemic model to consumer sentiment during and after the pandemic, however, simply does not work. The indicators that correlated with people's feelings about the economy before 2020 no longer seem to matter in the same way
  • As with so many areas of American life, the pandemic has changed virtually everything about how people think about the economy and the issues that concern them
  • Prior to the pandemic, our model shows consumers felt better about the economy when the personal savings rate, a measure of how much money households are able to save rather than spend each month, was higher. This makes sense: People feel better when they have money in the bank and are able to save for important purchases like cars and houses.
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  • Before the pandemic, a number of variables were statistically significant indicators for consumer sentiment in our model; in particular, the most salient variables appear to be vehicle sales, gas prices, median household income, the federal funds effective rate, personal savings and household expenditures (excluding food and energy).
  • surprisingly, our pre-pandemic model didn't find a notable relationship between housing prices and consumer sentiment
  • All this taken together meant Americans were flush with cash but had nowhere to spend it. So despite the fact that the savings rate went way up, consumers still weren't feeling positively about the economy — contrary to the relationship between these two variables we saw in the decades before the pandemic.
  • Fast forward to 2024, and the personal savings rate has dropped to one of its lowest levels ever (the only time the savings rate was lower was in the years surrounding the Great Recession)
  • during and after the pandemic, Americans saw some of the highest rates of inflation the country has had in decades, and in a very short period of time. These sudden spikes naturally shocked many people who had been blissfully enjoying slow, steady price growth their entire adult lives. And it has taken a while for that shock to wear off, even as inflation has cre
  • the numbers align with our intuitive sense of how consumers process suddenly having their grocery store bill jump, as well as the findings from our model. In simple terms: Even if inflation is getting better, Americans aren't done being ticked off that it was bad to begin with.
  • During the pandemic, the personal savings rate soared. In April 2020, the metric was nearly double its previous high, recorded in May 1975.
  • However, in our post-pandemic data, when we examined how correlated consumer sentiment was with each indicator we considered, consumer sentiment and median housing prices had the strongest correlation of all****** (a negative one, meaning higher prices were associated with lower consumer sentiment)
  • "Right before the pandemic, the typical average transaction price was around $38,000 for a new car. By 2023, it was $48,000," Schirmer said. This could all be contributing to the break in the relationship between car sales and sentiment, he noted. Basically, people might be buying cars, but they aren't necessarily happy about it.
  • That's true even if a family has been able to save enough for a down payment, already a difficult task when rents remain high as well. Fewer people are able to cover their current housing costs while saving enough to make a down payment.
  • Low-income households are still the most likely to be burdened with high rents, but they're not the only ones affected anymore. High rents have also begun to affect those at middle-income levels as well.
  • In short, there was already a housing affordability crisis before the pandemic. Now it's worse, locking a wider array of people, at higher and higher income levels, out of the home-buying market
  • People who are renting but want to buy are stuck. People who live in starter homes and want to move to bigger homes are stuck. The conditions have frustrated a fundamental element of the American dream
  • In our pre-pandemic model, total vehicle sales had a strong positive relationship with consumer sentiment: If people were buying cars, you could pretty reasonably bet that they felt good about the economy. This feels intuitive — who buys a car if they think the economy
  • Cox Automotive also tracks vehicle affordability by calculating the estimated number of weeks' worth of median income needed to purchase the average new vehicle, and while that number has improved over the last two years, it remains high compared to pre-pandemic levels. In April, the most recent month with data, it took 37.7 weeks of median income to purchase a car, compared with fewer than 35 weeks at the end of 2019.
  • during the pandemic, low interest rates, high savings rates and changes in working patterns — namely, many workers' newfound ability to work from home — helped overheat the homebuying market, and buyers ran headlong into an enduring supply shortage. There simply weren't enough houses to buy, which drove up the costs of the ones that were for sale.
  • Inspired by our model of economic indicators and sentiment from 1987 to 2019, we tried to train a similar linear regression model on the same data from 2021 to 2024 to more directly compare how things changed after the pandemic. While we were able to get a pretty good fit for this post-pandemic model,******* something interesting happened: Not a single variable showed up as a statistically significant predictor of consumer sentiment.
  • This suggests there's something much more complicated going on behind the scenes: Interactions between these variables are probably driving the prediction, and there's too much noise in this small post-pandemic data set for the model to disentangle i
  • Changes in the kinds of purchases we've discussed — homes, cars and everyday items like groceries — have fundamentally shifted the way Americans view how affordable their lives are and how they measure their quality of life.
  • Even though some indicators may be improving, Americans are simply weighing the factors differently than they used to, and that gives folks more than enough reason to have the economic blues.
Javier E

Opinion | How Capitalism Went Off the Rails - The New York Times - 0 views

  • Last year the Edelman Trust Barometer found that only 20 percent of people in the G7 countries thought that they and their families would be better off in five years.
  • Another Edelman survey, from 2020, uncovered a broad distrust of capitalism in countries across the world, “driven by a growing sense of inequity and unfairness in the system.”
  • Why the broad dissatisfaction with an economic system that is supposed to offer unsurpassed prosperity?
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  • easy money. In an eye-opening new book, “What Went Wrong With Capitalism,” he makes a convincing case.
  • “When the price of borrowing money is zero,” Sharma told me this week, “the price of everything else goes bonkers.”
  • To take just one example: In 2010, as the era of ultralow and even negative interest rates was getting started, the median sale price for a house in the United States hovered around $220,000. By the start of this year, it was more than $420,000.
  • Nowhere has inflation (in the broad sense of the term) been more evident than in global financial markets. In 1980 they were worth a total of $12 trillion — equal to the size of the global economy at the time. After the pandemic, Sharma noted, those markets were worth $390 trillion, or around four times the world’s total gross domestic product.
  • But the worst hit is to capitalism itself: a pervasive and well-founded sense that the system is broken and rigged, particularly against the poor and the young. “A generation ago, it took the typical young family three years to save up to the down payment on a home,” Sharma observes in the book. “By 2019, thanks to no return on savings, it was taking 19 years.”
  • First, there was inflation in real and financial assets, followed by inflation in consumer prices, followed by higher financing costs as interest rates have risen to fight inflation
  • For wealthier Americans who own assets or had locked in low-interest mortgages, this hasn’t been a bad thing. But for Americans who rely heavily on credit, it’s been devastating.
  • Since investors “can’t make anything on government bonds when those yields are near zero,” he said, “they take bigger risks, buying assets that promise higher returns, from fine art to high-yield debt of zombie firms, which earn too little to make even interest payments and survive by taking on new debt.”
  • The hit to the overall economy comes in other forms, too: inefficient markets that no longer deploy money carefully to their most productive uses, large corporations swallowing smaller competitors and deploying lobbyists to bend government rules in their favor, the collapse of prudential economic practices.
  • “The most successful investment strategy of the 2010s,” Sharma writes, citing the podcaster Joshua Brown, “would have been to buy the most expensive tech stocks and then buy more as they rose in price and valuation.”
  • In theory, easy money should have broad benefits for regular people, from employees with 401(k)s to consumers taking out cheap mortgages. In practice, it has destroyed much of what used to make capitalism an engine of middle-class prosperity in favor of the old and very rich.
  • The social consequence of this is rage; the political consequence is populism.
  • “He promised to deconstruct the administrative state but ended up adding new rules at the same pace as his predecessor — 3,000 a year,” Sharma said of Trump. “His exercise of presidential authority to personal ends shattered historic precedents and did more to expand than restrict the scope of government. For all their policy differences, both leading U.S. candidates are committed and fearless statists, not friends of competitive capitalism.”
  • We are wandering in fog. And the precipice is closer than we think.
Javier E

Israeli Military Says Hamas Can't Be Destroyed, Escalating Feud With Netanyahu - WSJ - 0 views

  • A rift between Israeli Prime Minister Benjamin Netanyahu and the country’s military leadership is spilling increasingly into the open after the armed forces’ top spokesman said Netanyahu’s aim of destroying Hamas in Gaza is unachievable.“The idea that we can destroy Hamas or make Hamas disappear is misleading to the public,” military spokesman Daniel Hagari told Israeli television on Wednesday.
  • The exchange was an illustration of months of tensions between Netanyahu and the country’s military leadership, who argue that Hamas could only be defeated if Israel replaces it with another governing authority in Gaza. During more than eight months of war, the Israeli military has invaded swaths of the Gaza Strip, only to see Hamas reconstitute itself in areas when Israeli forces withdraw.“What we can do is grow something different, something to replace it,” Hagari said Wednesday. “The politicians will decide” who should replace Hamas, he said.
  • The friction between Netanyahu and the military establishment had burst into public view earlier in the war. In May, Defense Minister Yoav Gallant delivered a speech calling on the government to decide who should replace Hamas in Gaza. The lack of a decision, he said, left Israel with only two choices: Hamas rule or a complete Israeli military takeover of the strip.
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  • The Israeli military relies on reservist soldiers, some of whom have described growing exhaustion as Israel manages conflicts for months on end on multiple fronts, including the border with Lebanon and in the West Bank. An end to fighting in Gaza would give Israeli forces a respite that analysts say is needed, especially if fighting with Hezbollah escalates further.
  • Israel Ziv, a retired Israeli general and veteran of multiple wars, said tensions between the Israeli military and security establishment and Netanyahu are at a record high.“The IDF feels and the security echelon feels that we exhausted the purpose of the war. We reached the maximum tactical peak that we can achieve,” he said. “As long as Rafah was there, they could say finish the job. OK it’s finished now.”
  • Netanyahu has rejected a series of proposals for possible alternatives to Hamas, including an American plan to bring in the Palestinian Authority and Arab calls for a Palestinian unity government that would include Hamas. Some military analysts and former Israeli officials have questioned whether installing a new government in Gaza was ever possible, given that Hamas has managed to survive the Israeli military assault.
  • “We need to make a decision,” said Ziv. “Even a bad decision, that’s OK. Let’s say [we] occupy Gaza in the next few years because we need to clear up the last few terrorists. OK, it’s a bad decision, but it’s a decision. The military needs to know.”
  • The dispute between Netanyahu and the military centers in part on how officials define a defeat of Hamas. An Israeli military official said the army considers a battalion “dismantled” not when all its fighters are killed, but when its command structure and ability to carry out organized attacks are eliminated. 
  • Military analysts say that Hamas’s militia forces are likely to survive the Israeli military operation even in Rafah, in part because the Israeli army’s approach leaves many lower-ranking Hamas fighters in place. Hamas’s top leadership in the enclave, including its leader, Yahya Sinwar, have also eluded Israeli forces throughout the war.
  • “Hamas is preserving its forces in Rafah rather than engaging the Israel Defense Forces, likely because Hamas does not believe Israel’s Rafah operation will be decisive,” said an assessment this week from the Institute for the Study of War and the American Enterprise Institute’s Critical Threats Project.
Javier E

AI scientist Ray Kurzweil: 'We are going to expand intelligence a millionfold by 2045' ... - 0 views

  • American computer scientist and techno-optimist Ray Kurzweil is a long-serving authority on artificial intelligence (AI). His bestselling 2005 book, The Singularity Is Near, sparked imaginations with sci-fi like predictions that computers would reach human-level intelligence by 2029 and that we would merge with computers and become superhuman around 2045, which he called “the Singularity”. Now, nearly 20 years on, Kurzweil, 76, has a sequel, The Singularity Is Nearer
  • no longer seem so wacky.
  • Your 2029 and 2045 projections haven’t changed…I have stayed consistent. So 2029, both for human-level intelligence and for artificial general intelligence (AGI) – which is a little bit different. Human-level intelligence generally means AI that has reached the ability of the most skilled humans in a particular domain and by 2029 that will be achieved in most respects. (There may be a few years of transition beyond 2029 where AI has not surpassed the top humans in a few key skills like writing Oscar-winning screenplays or generating deep new philosophical insights, though it will.) AGI means AI that can do everything that any human can do, but to a superior level. AGI sounds more difficult, but it’s coming at the same time.
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  • Why write this book? The Singularity Is Near talked about the future, but 20 years ago, when people didn’t know what AI was. It was clear to me what would happen, but it wasn’t clear to everybody. Now AI is dominating the conversation. It is time to take a look again both at the progress we’ve made – large language models (LLMs) are quite delightful to use – and the coming breakthroughs.
  • It is hard to imagine what this would be like, but it doesn’t sound very appealing… Think of it like having your phone, but in your brain. If you ask a question your brain will be able to go out to the cloud for an answer similar to the way you do on your phone now – only it will be instant, there won’t be any input or output issues, and you won’t realise it has been done (the answer will just appear). People do say “I don’t want that”: they thought they didn’t want phones either!
  • The most important driver is the exponential growth in the amount of computing power for the price in constant dollars. We are doubling price-performance every 15 months. LLMs just began to work two years ago because of the increase in computation.
  • What’s missing currently to bring AI to where you are predicting it will be in 2029? One is more computing power – and that’s coming. That will enable improvements in contextual memory, common sense reasoning and social interaction, which are all areas where deficiencies remain
  • LLM hallucinations [where they create nonsensical or inaccurate outputs] will become much less of a problem, certainly by 2029 – they already happen much less than they did two years ago. The issue occurs because they don’t have the answer, and they don’t know that. They look for the best thing, which might be wrong or not appropriate. As AI gets smarter, it will be able to understand its own knowledge more precisely and accurately report to humans when it doesn’t know.
  • What exactly is the Singularity? Today, we have one brain size which we can’t go beyond to get smarter. But the cloud is getting smarter and it is growing really without bounds. The Singularity, which is a metaphor borrowed from physics, will occur when we merge our brain with the cloud. We’re going to be a combination of our natural intelligence and our cybernetic intelligence and it’s all going to be rolled into one. Making it possible will be brain-computer interfaces which ultimately will be nanobots – robots the size of molecules – that will go noninvasively into our brains through the capillaries. We are going to expand intelligence a millionfold by 2045 and it is going to deepen our awareness and consciousness.
  • Why should we believe your dates? I’m really the only person that predicted the tremendous AI interest that we’re seeing today. In 1999 people thought that would take a century or more. I said 30 years and look what we have.
  • I have a chapter on perils. I’ve been involved with trying to find the best way to move forward and I helped to develop the Asilomar AI Principles [a 2017 non-legally binding set of guidelines for responsible AI development]
  • All the major companies are putting more effort into making sure their systems are safe and align with human values than they are into creating new advances, which is positive.
  • Not everyone is likely to be able to afford the technology of the future you envisage. Does technological inequality worry you? Being wealthy allows you to afford these technologies at an early point, but also one where they don’t work very well. When [mobile] phones were new they were very expensive and also did a terrible job. They had access to very little information and didn’t talk to the cloud. Now they are very affordable and extremely useful. About three quarters of people in the world have one. So it’s going to be the same thing here: this issue goes away over time.
  • The book looks in detail at AI’s job-killing potential. Should we be worried? Yes, and no. Certain types of jobs will be automated and people will be affected. But new capabilities also create new jobs. A job like “social media influencer” didn’t make sense, even 10 years ago. Today we have more jobs than we’ve ever had and US average personal income per hours worked is 10 times what it was 100 years ago adjusted to today’s dollars. Universal basic income will start in the 2030s, which will help cushion the harms of job disruptions. It won’t be adequate at that point but over time it will become so.
  • Everything is progressing exponentially: not only computing power but our understanding of biology and our ability to engineer at far smaller scales. In the early 2030s we can expect to reach longevity escape velocity where every year of life we lose through ageing we get back from scientific progress. And as we move past that we’ll actually get back more years.
  • What is your own plan for immortality? My first plan is to stay alive, therefore reaching longevity escape velocity. I take about 80 pills a day to help keep me healthy. Cryogenic freezing is the fallback. I’m also intending to create a replicant of myself [an afterlife AI avatar], which is an option I think we’ll all have in the late 2020s
  • I did something like that with my father, collecting everything that he had written in his life, and it was a little bit like talking to him. [My replicant] will be able to draw on more material and so represent my personality more faithfully.
  • What should we be doing now to best prepare for the future? It is not going to be us versus AI: AI is going inside ourselves. It will allow us to create new things that weren’t feasible before. It’ll be a pretty fantastic future.
Javier E

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

  • 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. 
  • 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.
  • 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.
  • AI could become a commodity
  • 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.
  • That difference is alarming, but what really matters to the long-term health of the industry is how much it costs to run AIs. 
  • 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.
  • 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.
  • 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
  • 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.
  • the industry spent $50 billion on chips from Nvidia to train AI in 2023, but brought in only $3 billion in revenue.
  • 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.
Javier E

Opinion | How to Force Justices Alito and Thomas to Recuse Themselves in the Jan. 6 Cas... - 0 views

  • The U.S. Department of Justice — including the U.S. attorney for the District of Columbia, an appointed U.S. special counsel and the solicitor general, all of whom were involved in different ways in the criminal prosecutions underlying these cases and are opposing Mr. Trump’s constitutional and statutory claims — can petition the other seven justices to require Justices Alito and Thomas to recuse themselves not as a matter of grace but as a matter of law.
  • The Justice Department and Attorney General Merrick Garland can invoke two powerful textual authorities for this motion: the Constitution of the United States, specifically the due process clause, and the federal statute mandating judicial disqualification for questionable impartiality, 28 U.S.C. Section 455.
Javier E

OpenAI Whistle-Blowers Describe Reckless and Secretive Culture - The New York Times - 0 views

  • A group of OpenAI insiders is blowing the whistle on what they say is a culture of recklessness and secrecy at the San Francisco artificial intelligence company, which is racing to build the most powerful A.I. systems ever created.
  • The group, which includes nine current and former OpenAI employees, has rallied in recent days around shared concerns that the company has not done enough to prevent its A.I. systems from becoming dangerous.
  • The members say OpenAI, which started as a nonprofit research lab and burst into public view with the 2022 release of ChatGPT, is putting a priority on profits and growth as it tries to build artificial general intelligence, or A.G.I., the industry term for a computer program capable of doing anything a human can.
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  • They also claim that OpenAI has used hardball tactics to prevent workers from voicing their concerns about the technology, including restrictive nondisparagement agreements that departing employees were asked to sign.
  • “OpenAI is really excited about building A.G.I., and they are recklessly racing to be the first there,” said Daniel Kokotajlo, a former researcher in OpenAI’s governance division and one of the group’s organizers.
  • Other members include William Saunders, a research engineer who left OpenAI in February, and three other former OpenAI employees: Carroll Wainwright, Jacob Hilton and Daniel Ziegler. Several current OpenAI employees endorsed the letter anonymously because they feared retaliation from the company,
  • At OpenAI, Mr. Kokotajlo saw that even though the company had safety protocols in place — including a joint effort with Microsoft known as the “deployment safety board,” which was supposed to review new models for major risks before they were publicly released — they rarely seemed to slow anything down.
  • So was the departure of Dr. Leike, who along with Dr. Sutskever had led OpenAI’s “superalignment” team, which focused on managing the risks of powerful A.I. models. In a series of public posts announcing his departure, Dr. Leike said he believed that “safety culture and processes have taken a back seat to shiny products.”
  • “When I signed up for OpenAI, I did not sign up for this attitude of ‘Let’s put things out into the world and see what happens and fix them afterward,’” Mr. Saunders said.
  • Mr. Kokotajlo, 31, joined OpenAI in 2022 as a governance researcher and was asked to forecast A.I. progress. He was not, to put it mildly, optimistic.In his previous job at an A.I. safety organization, he predicted that A.G.I. might arrive in 2050. But after seeing how quickly A.I. was improving, he shortened his timelines. Now he believes there is a 50 percent chance that A.G.I. will arrive by 2027 — in just three years.
  • He also believes that the probability that advanced A.I. will destroy or catastrophically harm humanity — a grim statistic often shortened to “p(doom)” in A.I. circles — is 70 percent.
  • Last month, two senior A.I. researchers — Ilya Sutskever and Jan Leike — left OpenAI under a cloud. Dr. Sutskever, who had been on OpenAI’s board and voted to fire Mr. Altman, had raised alarms about the potential risks of powerful A.I. systems. His departure was seen by some safety-minded employees as a setback.
  • Mr. Kokotajlo said, he became so worried that, last year, he told Mr. Altman that the company should “pivot to safety” and spend more time and resources guarding against A.I.’s risks rather than charging ahead to improve its models. He said that Mr. Altman had claimed to agree with him, but that nothing much changed.
  • In April, he quit. In an email to his team, he said he was leaving because he had “lost confidence that OpenAI will behave responsibly" as its systems approach human-level intelligence.
  • “The world isn’t ready, and we aren’t ready,” Mr. Kokotajlo wrote. “And I’m concerned we are rushing forward regardless and rationalizing our actions.”
  • On his way out, Mr. Kokotajlo refused to sign OpenAI’s standard paperwork for departing employees, which included a strict nondisparagement clause barring them from saying negative things about the company, or else risk having their vested equity taken away.
  • Many employees could lose out on millions of dollars if they refused to sign. Mr. Kokotajlo’s vested equity was worth roughly $1.7 million, he said, which amounted to the vast majority of his net worth, and he was prepared to forfeit all of it.
  • Mr. Altman said he was “genuinely embarrassed” not to have known about the agreements, and the company said it would remove nondisparagement clauses from its standard paperwork and release former employees from their agreements.)
  • In their open letter, Mr. Kokotajlo and the other former OpenAI employees call for an end to using nondisparagement and nondisclosure agreements at OpenAI and other A.I. companies.
  • “Broad confidentiality agreements block us from voicing our concerns, except to the very companies that may be failing to address these issues,”
  • They also call for A.I. companies to “support a culture of open criticism” and establish a reporting process for employees to anonymously raise safety-related concerns.
  • They have retained a pro bono lawyer, Lawrence Lessig, the prominent legal scholar and activist
  • Mr. Kokotajlo and his group are skeptical that self-regulation alone will be enough to prepare for a world with more powerful A.I. systems. So they are calling for lawmakers to regulate the industry, too.
  • “There needs to be some sort of democratically accountable, transparent governance structure in charge of this process," Mr. Kokotajlo said. “Instead of just a couple of different private companies racing with each other, and keeping it all secret.”
Javier E

French Lessons for Defeating Trump - The Atlantic - 0 views

  • One of the major differences between France and America, it seems, is that the French have not been beaten into a state of learned helplessness by the possibility of right-wing extremism.
  • The majority of French voters saw the National Rally as an existential threat to their values, and were alarmed and motivated enough to react. If Trump is in fact on the cusp of destroying American democracy, as so many have continually warned us, then Americans should respond to this crisis with a similar sense of pragmatism and urgency.
Javier E

Opinion | What Democrats Need to Do Now - The New York Times - 0 views

  • Over the last eight years, think tankers, activists and politicians have developed MAGA into a worldview, a worldview that now transcends Donald Trump.
  • It has its roots in Andrew Jackson-style populism, but it is updated and more comprehensive. It is the worldview that represents one version of working-class interests and offers working-class voters respect.
  • J.D. Vance is the embodiment and one of the developers of this worldview — with his suspicion of corporate power, foreign entanglements, free trade, cultural elites and high rates of immigration.
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  • MAGA has replaced Reaganism as the chief operating system of the Republican Party.
  • If Democrats hope to win in the near future they have to take the MAGA worldview seriously, and respectfully make the case, especially to working-class voters, for something better.
  • In a volatile world, MAGA offers people security. It promises secure borders and secure neighborhoods. It offers protection from globalization, from the creative destruction of modern capitalism. It offers protection from an educated class that looks down on you and indoctrinates your children in school. It offers you protection from corporate predators.
  • the problem with MAGA — and here is where the Democratic opportunity lies — is that it emerges from a mode of consciousness that is very different from the traditional American consciousness.
  • we saw ourselves, as the dynamic nation par excellence. We didn’t have a common past, but we dreamed of a common futur
  • “the Spirit of America is best known in Europe by one of its qualities — energy.”
  • Americans have a zeal for continual self-improvement, a “need tirelessly to tinker, improve everything and everybody, never leave anything alone.”
  • Americans can’t be secure if the world is in flames. That’s why America has to be active abroad in places like Ukraine, keeping wolves like Vladimir Putin at bay.
  • Through most of our history, we were not known for our profundity or culture but for living at full throttle.
  • MAGA, on the other hand, emerges from a scarcity consciousness, a zero-sum mentality: If we let in tons of immigrants they will take all our jobs; if America gets browner, “they” will replace “us.”
  • MAGA is based on a series of victim stories: The elites are out to screw us. Our allies are freeloading off us. Secular America is oppressing Christian America.
  • MAGA looks less like an American brand of conservatism and more like a European brand of conservatism. It resembles all those generations of Russian chauvinists who argued that the Russian masses embody all that is good but they are threatened by aliens from the outside
  • MAGA looks like a kind of right-wing Marxism, which assumes that class struggle is the permanent defining feature of politics.
  • The American consciousness has traditionally been an abundance consciousness.
  • If Democrats are to thrive, they need to tap into America’s dynamic cultural roots and show how they can be applied to the 21st century
  • My favorite definition of dynamism is adapted from the psychologist John Bowlby: All of life is a series of daring explorations from a secure base. If Democrats are to thrive, they need to offer people a vision both of the secure base and of the daring explorations.
  • MAGA is a fortress mentality, but America has traditionally been defined by a pioneering mentality. MAGA offers a strong shell, but not much in the way of wings needed to soar.
  • Americans can’t be secure if the border is in chaos. Popular support for continued immigration depends on a sense that the government has things under control.
  • Americans can’t be secure if a single setback will send people to the depths of crushing poverty. That’s why the social insurance programs that Democrats largely built are so important.
  • offer people a vision of the daring explorations that await them. That’s where the pessimistic post-Reagan Republicans can’t compete
  • champion the abundance agenda that people like Derek Thompson and my colleague Ezra Klein have been writing about. We need to build things. Lots of new homes. Supersonic airplanes and high-speed trains.
  • If Republicans are going to double down on class war rhetoric — elites versus masses — Democrats need to get out of that business
  • They need to stand up to protectionism, not join the stampede.
  • Democrats need to take on their teachers’ unions and commit to dynamism in the field of education.
  • Democrats need to throttle back the regulators who have been given such free rein that they’ve stifled innovation.
  • tap back into the more traditional American aspiration: We are not sentenced to a permanent class-riven future but can create a fluid, mobile society.
  • The economist Michael Strain of the American Enterprise Institute has offered a telling psychic critique of MAGA economic thinking: “The economics of grievance is ineffective, counterproductive and corrosive, eroding the foundations of prosperity. Messages matter. Tell people that the system is rigged, and they will aspire to less
  • Champion personal responsibility, and they will lift their aspirations. Promoting an optimistic vision of economic life can increase risk tolerance, ambition, effort and dynamism.”
  • t aspiration is not like a brick that just sits there. Aspiration is more like a flame that can be fed or dampened
  • “The problem is desire. We need to *want* these things. The problem is inertia. We need to want these things more than we want to prevent these things.”
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