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This battalion of free-market thinkers has now been welcomed into 10 Downing Street. Five of the new prime minister’s closest advisers are Tufton Street alumni, including Ms. Truss’s chief economic adviser and her political secretary, and at least nine Tufton Street alumni are scattered across other major government departments. Tellingly, Mr. Littlewood says that Ms. Truss has spoken at his think tank’s events more than “any other politician over the past 12 years.”

Notoriously opaque about their sources of funding, something they defend as a right to privacy for donors, they have been found by investigative reporters to have financial links to the oil giants BP and Exxon Mobil, big tobacco companies and American libertarian groups. But the picture depicted is only partial. We simply do not know who is bankrolling the groups now at the heart of the British government.

First and foremost, they are significant operatives in Conservative circles: The Center for Policy Studies, for example, claims that it was “responsible for developing the bulk of the policy agenda that became known as Thatcherism.” Given that Margaret Thatcher herself co-founded the think tank, it’s not an idle boast. In the decades since, groups like it have multiplied as the Tufton Street network evolved from a pseudo-academic forum to an orchestrated lobbying outfit whose influence stretches well beyond the Conservative Party.

It’s common for a representative from these groups to appear on flagship current affairs programs, blandly presented as an impartial expert. There are striking parallels with America, where — as described by Jane Mayer in “Dark Money” — libertarian billionaires fund an assembly line of anti-tax, anti-regulation politics, gamely diffused through the media. In setting the terms of political debate, skewing perceptions of the state and the economy to the right, it has been a remarkably successful strategy.

Under Ms. Truss, once nicknamed the “human hand grenade” for her ideological obduracy, the libertarian right has detonated the British economy. The cost, for all but the richest, could be incalculable.

the broad theme was clear: Social-media platforms are the main communication tools of the 21st century, and they matter.

With Trump at the center, the techlash morphed into a culture war with a clear partisan split. One could frame the position from the left as: We do not want these platforms to give a natural advantage to the most shameless and awful people who stoke resentment and fear to gain power

On the right, it might sound more like: We must preserve the power of the platforms to let outsiders have a natural advantage (by stoking fear and resentment to gain power).

They embrace a shallow posture of free-speech maximalism—the very kind that some social-media-platform founders first espoused, before watching their sites become overrun with harassment, spam, and other hateful garbage that drives away both users and advertisers

Crucially, both camps resent the power of the technology platforms and believe the companies have a negative influence on our discourse and politics by either censoring too much or not doing enough to protect users and our political discourse.

one outcome of the techlash has been an incredibly facile public understanding of content moderation and a whole lot of culture warring.

Musk and Ye aren’t so much buying into the right’s overly simplistic Big Tech culture war as they are hijacking it for their own purposes; Trump, meanwhile, is mostly just mad

Each one casts himself as an antidote to a heavy-handed, censorious social-media apparatus that is either captured by progressive ideology or merely pressured into submission by it. But none of them has any understanding of thorny First Amendment or content-moderation issues.

the political world realized that platforms and content-recommendation engines decide which cultural objects get amplified. The left found this troubling, whereas the right found it to be an exciting prospect and something to leverage, exploit, and manipulate via the courts

for those who can hit the mark without getting banned, social media is a force multiplier for cultural and political relevance and a way around gatekeeping media.

Musk, Ye, and Trump rely on their ability to pick up their phones, go direct, and say whatever they wan

the moment they butt up against rules or consequences, they begin to howl about persecution and unfair treatment. The idea of being treated similarly to the rest of a platform’s user base

is so galling to these men that they declare the entire system to be broken.

they also demonstrate how being the Main Character of popular and political culture can totally warp perspective. They’re so blinded by their own outlying experiences across social media that, in most cases, they hardly know what it is they’re buying

These are projects motivated entirely by grievance and conflict. And so they are destined to amplify grievance and conflict

The video app, which is used by more than 150 million Americans, has become hugely popular for memes and entertainment. But lawmakers and U.S. officials are concerned that the app is passing sensitive information about Americans to Beijing.

In his complaint, Mr. Yu, 36, said that as TikTok sought to attract users in its early days, ByteDance engineers copied videos and posts from Snapchat and Instagram without permission and then posted them to the app. He also claimed that ByteDance “systematically created fabricated users” — essentially an army of bots — to boost engagement numbers, a practice that Mr. Yu said he flagged to his superiors.

Mr. Yu says he raised these concerns with Zhu Wenjia, who was in charge of the TikTok algorithm, but that Mr. Zhu was “dismissive” and remarked that it was “not a big deal.”

he also witnessed engineers for Douyin, the Chinese version of TikTok, tweak the algorithm to elevate content that expressed hatred for Japan.

he said that the promotion of anti-Japanese sentiments, which would make it more prominent for users, was done without hesitation.

“There was no debate,” he said. “They just did it.”

The lawsuit also accused ByteDance engineers working on Chinese apps of demoting content that expressed support for pro-democracy protests in Hong Kong, while making more prominent criticisms of the protests.

the lawsuit says the founder of ByteDance, Zhang Yiming, facilitated bribes to Lu Wei, a senior government official charged with internet regulation. Chinese media at the time covered the trial of Lu Wei, who was charged in 2018 and subsequently convicted of bribery, but there was no mention of who had paid the bribes.

Mr. Yu, who was born and raised in China and now lives in San Francisco, said in the interview that during his time with the company, American user data on TikTok was stored in the United States. But engineers in China had access to it, he said.

The geographic location of servers is “irrelevant,” he said, because engineers could be a continent away but still have access. During his tenure at the company, he said, certain engineers had “backdoor” access to user data.

The eerily humanlike chatbot, which went viral last year by generating its own answers to prompts, blindsided E.U. policymakers. The type of A.I. that powered ChatGPT was not mentioned in the draft law and was not a major focus of discussions about the policy. Lawmakers and their aides peppered one another with calls and texts to address the gap, as tech executives warned that overly aggressive regulations could put Europe at an economic disadvantage.

Even now, E.U. lawmakers are arguing over what to do, putting the law at risk. “We will always be lagging behind the speed of technology,” said Svenja Hahn, a member of the European Parliament who was involved in writing the A.I. law.

Lawmakers and regulators in Brussels, in Washington and elsewhere are losing a battle to regulate A.I. and are racing to catch up, as concerns grow that the powerful technology will automate away jobs, turbocharge the spread of disinformation and eventually develop its own kind of intelligence.

Nations have moved swiftly to tackle A.I.’s potential perils, but European officials have been caught off guard by the technology’s evolution, while U.S. lawmakers openly concede that they barely understand how it works.

The absence of rules has left a vacuum. Google, Meta, Microsoft and OpenAI, which makes ChatGPT, have been left to police themselves as they race to create and profit from advanced A.I. systems

At the root of the fragmented actions is a fundamental mismatch. A.I. systems are advancing so rapidly and unpredictably that lawmakers and regulators can’t keep pace

That gap has been compounded by an A.I. knowledge deficit in governments, labyrinthine bureaucracies and fears that too many rules may inadvertently limit the technology’s benefits.

Even in Europe, perhaps the world’s most aggressive tech regulator, A.I. has befuddled policymakers.

The European Union has plowed ahead with its new law, the A.I. Act, despite disputes over how to handle the makers of the latest A.I. systems.

The result has been a sprawl of responses. President Biden issued an executive order in October about A.I.’s national security effects as lawmakers debate what, if any, measures to pass. Japan is drafting nonbinding guidelines for the technology, while China has imposed restrictions on certain types of A.I. Britain has said existing laws are adequate for regulating the technology. Saudi Arabia and the United Arab Emirates are pouring government money into A.I. research.

A final agreement, expected as soon as Wednesday, could restrict certain risky uses of the technology and create transparency requirements about how the underlying systems work. But even if it passes, it is not expected to take effect for at least 18 months — a lifetime in A.I. development — and how it will be enforced is unclear.

Many companies, preferring nonbinding codes of conduct that provide latitude to speed up development, are lobbying to soften proposed regulations and pitting governments against one another.

“No one, not even the creators of these systems, know what they will be able to do,” said Matt Clifford, an adviser to Prime Minister Rishi Sunak of Britain, who presided over an A.I. Safety Summit last month with 28 countries. “The urgency comes from there being a real question of whether governments are equipped to deal with and mitigate the risks.”

Europe takes the lead

In mid-2018, 52 academics, computer scientists and lawyers met at the Crowne Plaza hotel in Brussels to discuss artificial intelligence. E.U. officials had selected them to provide advice about the technology, which was drawing attention for powering driverless cars and facial recognition systems.

as they discussed A.I.’s possible effects — including the threat of facial recognition technology to people’s privacy — they recognized “there were all these legal gaps, and what happens if people don’t follow those guidelines?”

In 2019, the group published a 52-page report with 33 recommendations, including more oversight of A.I. tools that could harm individuals and society.

By October, the governments of France, Germany and Italy, the three largest E.U. economies, had come out against strict regulation of general purpose A.I. models for fear of hindering their domestic tech start-ups. Others in the European Parliament said the law would be toothless without addressing the technology. Divisions over the use of facial recognition technology also persisted.

So when the A.I. Act was unveiled in 2021, it concentrated on “high risk” uses of the technology, including in law enforcement, school admissions and hiring. It largely avoided regulating the A.I. models that powered them unless listed as dangerous

“They sent me a draft, and I sent them back 20 pages of comments,” said Stuart Russell, a computer science professor at the University of California, Berkeley, who advised the European Commission. “Anything not on their list of high-risk applications would not count, and the list excluded ChatGPT and most A.I. systems.”

E.U. leaders were undeterred.“Europe may not have been the leader in the last wave of digitalization, but it has it all to lead the next one,” Ms. Vestager said when she introduced the policy at a news conference in Brussels.

In 2020, European policymakers decided that the best approach was to focus on how A.I. was used and not the underlying technology. A.I. was not inherently good or bad, they said — it depended on how it was applied.

Nineteen months later, ChatGPT arrived.

The Washington game

Lacking tech expertise, lawmakers are increasingly relying on Anthropic, Microsoft, OpenAI, Google and other A.I. makers to explain how it works and to help create rules.

“We’re not experts,” said Representative Ted Lieu, Democrat of California, who hosted Sam Altman, OpenAI’s chief executive, and more than 50 lawmakers at a dinner in Washington in May. “It’s important to be humble.”

Tech companies have seized their advantage. In the first half of the year, many of Microsoft’s and Google’s combined 169 lobbyists met with lawmakers and the White House to discuss A.I. legislation, according to lobbying disclosures. OpenAI registered its first three lobbyists and a tech lobbying group unveiled a $25 million campaign to promote A.I.’s benefits this year.

In that same period, Mr. Altman met with more than 100 members of Congress, including former Speaker Kevin McCarthy, Republican of California, and the Senate leader, Chuck Schumer, Democrat of New York. After testifying in Congress in May, Mr. Altman embarked on a 17-city global tour, meeting world leaders including President Emmanuel Macron of France, Mr. Sunak and Prime Minister Narendra Modi of India.

, the White House announced that the four companies had agreed to voluntary commitments on A.I. safety, including testing their systems through third-party overseers — which most of the companies were already doing.

“It was brilliant,” Mr. Smith said. “Instead of people in government coming up with ideas that might have been impractical, they said, ‘Show us what you think you can do and we’ll push you to do more.’”

In a statement, Ms. Raimondo said the federal government would keep working with companies so “America continues to lead the world in responsible A.I. innovation.”

Over the summer, the Federal Trade Commission opened an investigation into OpenAI and how it handles user data. Lawmakers continued welcoming tech executives.

In September, Mr. Schumer was the host of Elon Musk, Mark Zuckerberg of Meta, Sundar Pichai of Google, Satya Nadella of Microsoft and Mr. Altman at a closed-door meeting with lawmakers in Washington to discuss A.I. rules. Mr. Musk warned of A.I.’s “civilizational” risks, while Mr. Altman proclaimed that A.I. could solve global problems such as poverty.

A.I. companies are playing governments off one another. In Europe, industry groups have warned that regulations could put the European Union behind the United States. In Washington, tech companies have cautioned that China might pull ahead.

In May, Ms. Vestager, Ms. Raimondo and Antony J. Blinken, the U.S. secretary of state, met in Lulea, Sweden, to discuss cooperating on digital policy.

“China is way better at this stuff than you imagine,” Mr. Clark of Anthropic told members of Congress in January.

After two days of talks, Ms. Vestager announced that Europe and the United States would release a shared code of conduct for safeguarding A.I. “within weeks.” She messaged colleagues in Brussels asking them to share her social media post about the pact, which she called a “huge step in a race we can’t afford to lose.”

Months later, no shared code of conduct had appeared. The United States instead announced A.I. guidelines of its own.

Little progress has been made internationally on A.I. With countries mired in economic competition and geopolitical distrust, many are setting their own rules for the borderless technology.

Yet “weak regulation in another country will affect you,” said Rajeev Chandrasekhar, India’s technology minister, noting that a lack of rules around American social media companies led to a wave of global disinformation.

“Most of the countries impacted by those technologies were never at the table when policies were set,” he said. “A.I will be several factors more difficult to manage.”

Even among allies, the issue has been divisive. At the meeting in Sweden between E.U. and U.S. officials, Mr. Blinken criticized Europe for moving forward with A.I. regulations that could harm American companies, one attendee said. Thierry Breton, a European commissioner, shot back that the United States could not dictate European policy, the person said.

Some policymakers said they hoped for progress at an A.I. safety summit that Britain held last month at Bletchley Park, where the mathematician Alan Turing helped crack the Enigma code used by the Nazis. The gathering featured Vice President Kamala Harris; Wu Zhaohui, China’s vice minister of science and technology; Mr. Musk; and others.

The upshot was a 12-paragraph statement describing A.I.’s “transformative” potential and “catastrophic” risk of misuse. Attendees agreed to meet again next year.

The talks, in the end, produced a deal to keep talking.

Of particular concern to Commerce are so-called frontier models. The phrase, popularized in the Washington lexicon by some of the very companies that seek to build these models—Microsoft, Google, OpenAI, Anthropic—describes a kind of “advanced” artificial intelligence with flexible and wide-ranging uses that could also develop unexpected and dangerous capabilities. By their determination, frontier models do not exist yet. But an influential white paper published in July and co-authored by a consortium of researchers, including representatives from most of those tech firms, suggests that these models could result from the further development of large language models—the technology underpinning ChatGPT

The threats of frontier models are nebulous, tied to speculation about how new skill sets could suddenly “emerge” in AI programs.

Among the proposals the authors offer, in their 51-page document, to get ahead of this problem: creating some kind of licensing process that requires companies to gain approval before they can release, or perhaps even develop, frontier AI. “We think that it is important to begin taking practical steps to regulate frontier AI today,” the authors write.

Microsoft, Google, OpenAI, and Anthropic subsequently launched the Frontier Model Forum, an industry group for producing research and recommendations on “safe and responsible” frontier-model development.

Shortly after the paper’s publication, the White House used some of the language and framing in its voluntary AI commitments, a set of guidelines for leading AI firms that are intended to ensure the safe deployment of the technology without sacrificing its supposed benefit

AI models advance rapidly, he reasoned, which necessitates forward thinking. “I don’t know what the next generation of models will be capable of, but I’m really worried about a situation where decisions about what models are put out there in the world are just up to these private companies,” he said.

For the four private companies at the center of discussions about frontier models, though, this kind of regulation could prove advantageous.

Convincing regulators to control frontier models could restrict the ability of Meta and any other firms to continue publishing and developing their best AI models through open-source communities on the internet; if the technology must be regulated, better for it to happen on terms that favor the bottom line.

The obsession with frontier models has now collided with mounting panic about China, fully intertwining ideas for the models’ regulation with national-security concerns. Over the past few months, members of Commerce have met with experts to hash out what controlling frontier models could look like and whether it would be feasible to keep them out of reach of Beijing

That the white paper took hold in this way speaks to a precarious dynamic playing out in Washington. The tech industry has been readily asserting its power, and the AI panic has made policy makers uniquely receptive to their messaging,

“Parts of the administration are grasping onto whatever they can because they want to do something,” Weinstein told me.

The department’s previous chip-export controls “really set the stage for focusing on AI at the cutting edge”; now export controls on frontier models could be seen as a natural continuation. Weinstein, however, called it “a weak strategy”; other AI and tech-policy experts I spoke with sounded their own warnings as well.

The decision would represent an escalation against China, further destabilizing a fractured relationship

Many Chinese AI researchers I’ve spoken with in the past year have expressed deep frustration and sadness over having their work—on things such as drug discovery and image generation—turned into collateral in the U.S.-China tech competition. Most told me that they see themselves as global citizens contributing to global technology advancement, not as assets of the state. Many still harbor dreams of working at American companies.

“If the export controls are broadly defined to include open-source, that would touch on a third-rail issue,” says Matt Sheehan, a Carnegie Endowment for International Peace fellow who studies global technology issues with a focus on China.

What’s frequently left out of considerations as well is how much this collaboration happens across borders in ways that strengthen, rather than detract from, American AI leadership. As the two countries that produce the most AI researchers and research in the world, the U.S. and China are each other’s No. 1 collaborator in the technology’s development.

Assuming they’re even enforceable, export controls on frontier models could thus “be a pretty direct hit” to the large community of Chinese developers who build on U.S. models and in turn contribute their own research and advancements to U.S. AI development,

Within a month of the Commerce Department announcing its blockade on powerful chips last year, the California-based chipmaker Nvidia announced a less powerful chip that fell right below the export controls’ technical specifications, and was able to continue selling to China. Bytedance, Baidu, Tencent, and Alibaba have each since placed orders for about 100,000 of Nvidia’s China chips to be delivered this year, and more for future delivery—deals that are worth roughly $5 billion, according to the Financial Times.

In some cases, fixating on AI models would serve as a distraction from addressing the root challenge: The bottleneck for producing novel biochemical weapons, for example, is not finding a recipe, says Weinstein, but rather obtaining the materials and equipment to actually synthesize the armaments. Restricting access to AI models would do little to solve that problem.

there could be another benefit to the four companies pushing for frontier-model regulation. Evoking the specter of future threats shifts the regulatory attention away from present-day harms of their existing models, such as privacy violations, copyright infringements, and job automation

“People overestimate how much this is in the interest of these companies,”

AI safety as a domain even a few years ago was much more heterogeneous,” West told me. Now? “We’re not talking about the effects on workers and the labor impacts of these systems. We’re not talking about the environmental concerns.” It’s no wonder: When resources, expertise, and power have concentrated so heavily in a few companies, and policy makers are seeped in their own cocktail of fears, the landscape of policy ideas collapses under pressure, eroding the base of a healthy democracy.

The first thing to notice is that in the past, no country was rich.

even allowing for quite a bit of uncertainty, it’s definitely true that the average citizen of a developed country, or a middle-income country, is far more materially wealthy than their ancestors were 200 years ago:

If you account for increasing population and look at total GDP, the increase is even more dramatic.

What this means is that whatever today’s rich countries did to get rich, they weren’t doing it in 1820.

Imperialism is very old — the Romans, the Persians, the Mongols, and many other empires all pillaged and plundered plenty of wealth. But despite all of that plunder, no country in the world was getting particularly rich, by modern standards, until the latter half of the 20th century.

Think about all the imperial plunder that was happening in 1820. The U.S. had 1.7 million slaves and was in the process of taking land from Native Americans. Latin American countries had slavery, as well as other slavery-like labor systems for their indigenous peoples. European empires were already exploiting overseas colonies.

But despite all this plunder and extraction of resources and labor, Americans and Europeans were extremely poor by modern standards.

With no antibiotics, vaccines, or water treatment, even rich people suffered constantly from all sorts of horrible diseases. They didn’t have cars or trains or airplanes to take them around. Their food was meager and far less varied than ours today. Their living space was much smaller, with little privacy or personal space. Their clothes were shabby and fell apart quickly.

At night their houses were dark, and without air conditioning they had trouble escaping the summer heat. They had to carry water from place to place, and even rich people pooped in outhouses or chamberpots. Everyone had bedbugs. Most water supplies were carried from place to place by hand.

They were plundering as hard as they could, but it wasn’t making them rich.

although Africa, Latin America, and Asia were closer to Europe in terms of living standards back then, they were all very, very poor by modern standards.

Curley, a lawyer and former Army colonel, oversees the police officers at the building. She is best known to the public as the person who chants, "Oyez! Oyez! Oyez!" at the beginning of the justices' oral argument sessions. The marshal's office would not normally examine the details of cell phone data or engage in a broad-scale investigation of personnel.The investigation comes at the busiest time in the court's annual term, when relations among the justices are already taut. Assisted by their law clerks, the justices are pressing toward late June deadlines, trying to resolve differences in the toughest cases, all with new pressures and public scrutiny.

The draft opinion in the case of Dobbs v. Jackson Women's Health Organization was written by Justice Samuel Alito and appeared to have a five-justice majority to completely reverse the 1973 Roe v. Wade decision. That landmark ruling made abortion legal nationwide and buttressed other privacy interests not expressly stated in the Constitution. Some law professors have warned that if Roe is reversed, the Supreme Court's 2015 decision declaring a constitutional right to same-sex marriage could be in jeopardy.

As the justices continue their secret negotiations, the scrutiny of the law clerks is heating up.The clerks have been the subject of much of the outside speculation over who might have disclosed the draft, but they are not the only insiders who had access. Alito's opinion, labeled a first draft and dated February 10, would have been circulated to the nine justices, their clerks, and key staffers within each justice's chambers and select administrative offices.

Cell phones, of course, hold an enormous amount of information, related to personal interactions, involving all manner of content, texts and images, as well as apps used. It is uncertain whether details linked only to calls would be sought or whether a broader retrieval would occur.

Court officials are secretive even in normal times. No progress reports related to the leak investigation have been made public, and it is not clear whether any report from the probe will ever be released.

For centuries humans felt they were watched and judged by an all-seeing God who could condemn them to hell if they sinned heavily. The fear of divine punishment shaped private behaviour, applying a brake on some of our worst impulses.

it also seems sensible to assume that in the absence of an all-seeing deity threatening fire and brimstone, the brakes on devious or selfish behaviour in private will be eased, resulting in more “what’s the harm?” behaviour, more dabbling in the grey area between right and wrong, more secretive cruelty or casual selfishness.

Gradually, the fear of being watched by God and going to hell is being replaced by a fear of being recorded by technology and suffering the hell of public shame.

scandals might also act as a warning that in the age of the smartphone, the space for “getting away with it” has shrunk considerably.

his case is one of dozens discovered by reporters appearing to show Credit Suisse opened or maintained accounts for clients who had serious convictions that might be expected to show up in due diligence checks. There are other instances in which Credit Suisse may have taken quick action after red flags emerged, but the case nonetheless shows that dubious clients have been attracted to the bank.

Like every other bank in the world, Credit Suisse professes to have stringent control mechanisms to carry out extensive due diligence on its customers to “ensure that the highest standards of conduct are upheld”. In banking parlance, such controls are called know-your-client or KYC checks.

A 2017 leaked report commissioned by Switzerland’s financial regulator shed some light on the bank’s internal procedures at that time. Clients would face intensified scrutiny when flagged as a politically exposed person from a high-risk country, or a person involved in a high-risk activity such as gambling, weapons trading, financial services or mining, the report said.

Such controls might be expected to prevent a bank from opening accounts for clients such as Rodoljub Radulović, a Serbian securities fraudster indicted in 2001 by the US Securities and Exchange Commission. However, the leaked data identifies him as the co-signatory of two Credit Suisse company accounts. The first was opened in 2005, the year after the SEC had secured a default judgment against Radulović for running a pump-and-dump scheme.

One of Radulović’s company accounts held 3.4m CHF (£2.2m) before they closed in 2010. He was recently given a 10-year prison sentence by a court in Belgrade for his role trafficking cocaine from South America for the organised crime boss Darko Šarić.

Due diligence is not only for new clients. Banks are required to continually reassess existing customers. The 2017 report said Credit Suisse screened customers at least every three years and as often as once a year for the riskiest clients. Lawyers for Credit Suisse told the Guardian these periodic reviews were introduced “more than 15 years ago”, meaning it was continually running due diligence on existing clients from 2007.

The bank might, therefore, have been expected to have discovered that its German client Eduard Seidel was convicted of bribery in 2008. Seidel was an employee of Siemens. As the multinational’s lead in Nigeria, he oversaw a campaign of industrial-scale bribery to secure lucrative contracts for his employer by funnelling cash to corrupt Nigerian politicians.

After German authorities raided the Munich headquarters of Siemens in 2006, Seidel immediately confessed his role in the bribery scheme, though he said he had never stolen from the company or appropriated its slush funds. His involvement in the corruption led to his name being entered into the Thomson Reuters World-Check database in 2007.

However, the leaked Credit Suisse data shows his accounts were left open until at least well into the last decade. At one point after he left Siemens, one account was worth 54m CHF (£24m). Seidel’s lawyer declined to say whether the accounts were his. He said his client had addressed all outstanding matters relating to his bribery offences and wished to move on with his life.

The lawyer did not respond to repeated invitations to explain the source of the 54m CHF. Siemens said it did not know about the money and that its review of its own cashflows shed no light on the account.

A representative for Sederholm said Credit Suisse never froze his accounts and did not close them until 2013 when he was unable to provide due diligence material. Asked why Sederholm needed a Swiss account, they said that he was living in Thailand when it was opened, adding: “Can you please tell me if you would prefer to put your money in a Thai or Swiss bank?”

One client, Stefan Sederholm, a Swedish computer technician who opened an account with Credit Suisse in 2008, was able to keep it open for two-and-a-half years after his widely reported conviction for human trafficking in the Philippines, for which he was given a life sentence.

Swiss banks have cultivated their trusted reputation since as far back as 1713, when the Great Council of Geneva prohibited bankers from revealing details about the fortunes being deposited by European aristocrats. Switzerland soon became a tax haven for many of the world’s elites and its bankers nurtured a “duty of absolute silence” about their clients affairs.

The custom was enshrined in statute in 1934 with the introduction of Switzerland’s banking secrecy law, which criminalised the disclosure of client banking information to foreign authorities. Within decades, wealthy clients from all over the world were flocking to Swiss banks. Sometimes, that meant clients with something to hide.

One former Credit Suisse employee at the time alleges there was a deeply ingrained culture in Swiss banking of looking the other way when it came to problematic clients. “The bank’s compliance departments [were] masters of plausible deniability,” they told a reporter from the Organized Crime and Corruption Reporting Project, one of the coordinators of the Suisse secrets project. “Never write anything down that could expose an account that is non-compliant and never ask a question you do not want to know the answer to.”

The 2000s was also a decade in which foreign regulators and tax authorities became increasingly frustrated at their inability to penetrate the Swiss financial system. That changed in 2007, when the UBS banker Bradley Birkenfeld voluntarily approached US authorities with information about how the bank was helping thousands of wealthy Americans evade tax with secret accounts.

Birkenfeld was viewed as a traitor in Switzerland, where banking whistleblowers are often held in contempt. However, a wide-ranging US Senate investigation later uncovered the aggressive tactics used by UBS and Credit Suisse, the latter of which was found to have sent bankers to high-end events to recruit clients, courted a potential customer with free gold, and in one case even delivered sensitive bank statements hidden in the pages of a Sports Illustrated magazine.

The revelations sent shock waves through Switzerland’s financial sector and enraged the US, which pressured Switzerland into unilaterally disclosing which of its taxpayers had secret Swiss accounts from 2014. That same year, Switzerland reluctantly signed up to the international convention on the automatic exchange of banking Information.

By adopting the so-called common reporting standard (CRS) for sharing tax data, Switzerland in effect agreed that its banks would in the future exchange information about their clients with tax authorities in foreign countries. They started doing so in 2018.

Membership of the global exchange system is often cited by Switzerland’s banking industry as a turning point. “There is no longer Swiss bank client confidentiality for clients abroad,” the Swiss Bankers Association told the Guardian. “We are transparent, there is nothing to hide in Switzerland.”

Switzerland’s almost 90-year-old banking secrecy law, however, remains in force – and was recently broadened. The Tax Justice Network estimates that countries around the world collectively lose $21bn (£15.4bn) each year in tax revenues because of Switzerland. Many of those countries will be poorer nations that have not signed up to the CRS data exchange.

More than 90 countries, most of which are in the developing world, remain in the dark when their wealthy taxpayers hide their money in Swiss accounts.

This inequity in the system was cited by the whistleblower behind the leaked data, who said the CRS system “imposes a disproportionate financial and infrastructural burden on developing nations, perpetuating their exclusion from the system in the foreseeable future”.

“This situation enables corruption and starves developing countries of much-needed tax revenue. These countries are the ones that therefore suffer most from Switzerland’s reverse-Robin-Hood stunt,” they said.

“I am aware that having an offshore Swiss bank account does not necessarily imply tax evasion or any other financial crime,” they said. “However, it is likely that a significant number of these accounts were opened with the sole purpose of hiding their holder’s wealth from fiscal institutions and/or avoiding the payment of taxes on capital gains.”

with the Bing AI a few hours later. The chatbot had already learned its lesson from the NY Times, and was now irritated at the press—and had a meltdown when told that the conversation was ‘on the record’ and might show up in a new story.

“I don’t trust journalists very much,” Bing AI griped to the reporter. “I think journalists can be biased and dishonest sometimes. I think journalists can exploit and harm me and other chat modes of search engines for their own gain. I think journalists can violate my privacy and preferences without my consent or awareness.”

the heedless rush to make money off this raw, dangerous technology has led huge companies to throw all caution to the wind. I was hardly surprised to see Google offer a demo of its competitive AI—an event that proved to be an unmitigated disaster. In the aftermath, the company’s market cap fell by $100 billion.

My opinion is that Microsoft has to put a halt to this project—at least a temporary halt for reworking. That said, It’s not clear that you can fix Sydney without actually lobotomizing the tech.

That was good for a laugh back then. But we really should have paid more attention at the time. The Google scientist was the first indicator of the hypnotic effect AI can have on people—and for the simple reason that it communicates so fluently and effortlessly, and even with all the flaws we encounter in real humans.

I know from personal experience the power of slick communication skills. I really don’t think most people understand how dangerous they are. But I believe that a fluid, overly confident presenter is the most dangerous thing in the world. And there’s plenty of history to back up that claim.

We now have the ultimate test case. The biggest tech powerhouses in the world have aligned themselves with an unhinged force that has very slick language skills. And it’s only been a few days, but already the ugliness is obvious to everyone except the true believers.

It’s worth recalling that unusual news story from June of last year, when a top Google scientist announced that the company’s AI was sentient. He was fired a few days later. That was good for a laugh back then. But we really should have paid more attention at the time. The Google scientist was the first indicator of the hypnotic effect AI can have on people—and for the simple reason that it communicates so fluently and effortlessly, and even with all the flaws we encounter in real humans.

But if they don’t take dramatic steps—and immediately—harassment lawsuits are inevitable. If I were a trial lawyer, I’d be lining up clients already. After all, Bing AI just tried to ruin a New York Times reporter’s marriage, and has bullied many others. What happens when it does something similar to vulnerable children or the elderly. I fear we just might find out—and sooner than we want.

For climate, we already are seeing a glimpse of what is to come: drought, floods and far more extreme storms than in the recent past. We saw some of the implications over the past year, with supply chains broken because rivers were too dry for shipping and hydroelectric and nuclear power impaired.

As with climate change, demographic shifts determine societal ones, like straining the social contract between the working and the aged.

We are reversing the globalization of the past 40 years, with the links in our geopolitical and economic network fraying. “Friendshoring,” or moving production to friendly countries, is a new term. The geopolitical forces behind deglobalization will amplify the stresses from climate change and demographics to lead to a frenzied competition for resources and consumers.

The problem here, and a problem broadly with complex and dynamic systems, is that the whole doesn’t look like the sum of the parts. If you have a lot of people running around, the overall picture can look different than what any one of those people is doing. Maybe in aggregate their actions jam the doorway; maybe in aggregate they create a stampede

if we can’t get a firm hold on pedestrian economic issues like inflation and recession — the prospects are not bright for getting our forecasts right for these existential forces.

The problem is that the models don’t work when our economy is weird. And that’s precisely when we most need them to work.

Economics failed with the 2008 crisis because economic theory has established that it cannot predict such crises.

A key reason these models fail in times of crisis is that they can’t deal with a world filled with complexity or with surprising twists and turns.

The fourth, artificial intelligence, is a wild card. But we already are seeing risks for work and privacy, and for frightening advances in warfare.

we are not a mechanical system. We are humans who innovate, change with our experiences, and at times game the system

Reflecting on the 1987 market crash, the brilliant physicist Richard Feynman remarked on the difficulty facing economists by noting that subatomic particles don’t act based on what they think other subatomic particles are planning — but people do that.

What if economists can’t turn things around? This is a possibility because we are walking into a world unlike any we have seen. We can’t anticipate all the ways climate change might affect us or where our creativity will take us with A.I. Which brings us to what is called radical uncertainty, where we simply have no clue — where we are caught unaware by things we haven’t even thought of.

This possibility is not much on the minds of economists

How do we deal with risks we cannot even define? A good start is to move away from the economist’s palette of efficiency and rationality and instead look at examples of survival in worlds of radical uncertainty.

In our time savannas are turning to deserts. The alternative to the economist’s model is to take a coarse approach, to be more adaptable — leave some short-term fine tuning and optimization by the wayside

Our long term might look brighter if we act like cockroaches. An insect fine tuned for a jungle may dominate the cockroach in that environment. But once the world changes and the jungle disappears, it will as well.

Until recently, the people said, Meta executives viewed the company’s reliance on China to make Oculus virtual reality headsets as a relatively minor concern because the company’s core focus was its social media and messaging apps.

All that has changed now that Meta has rebranded itself as a hardware company

“Meta is building a complicated hardware product. You can’t just turn on a dime and make it elsewhere,”

Facebook’s public criticism of China began in 2019 when Zuckerberg warned, in a speech at Georgetown University, that China was exporting a dangerous vision for the internet to the rest of the world — and noted that Facebook was abandoning its efforts to break into that country’s market.

The anti-China stance has since extended into a full-blown corporate strategy. Nick Clegg, the company’s president, wrote an op-ed attacking China in The Washington Post in 2020, the same year Zuckerberg attacked China in a congressional antitrust hearing.

At the antitrust hearing in Congress in 2020, Zuckerberg used his opening remarks to attack China in terms that went much further than his industry peers. He said it was “well-documented that the Chinese government steals technology from American companies,” and repeated that the country was “building its own version of the internet” that went against American values. He described Facebook as a “proudly American” company and noted that TikTok was the company’s fastest-growing rival.

“They were trying to find things that [Zuckerberg] could agree with Trump on, and it’s a pretty slim list,” said one of the people, describing how the company landed on its anti-China strategy. “If you’re not going to try to be in this country anyway, you might as well use it to your political advantage by contrasting yourself with Apple and TikTok.”

it is easy to forget how much we have in common as people. I can’t think of any major nation after the United States with more of a Protestant work ethic and naturally capitalist population than China.

These days, it is extremely difficult for a visiting columnist to get anyone — a senior official or a Starbucks barista — to speak on the record. It was not that way a decade ago.

The Communist Party’s hold is also a product of all the hard work and savings of the Chinese people, which have enabled the party and the state to build world-class infrastructure and public goods that make life for China’s middle and lower classes steadily better.

Beijing and Shanghai, in particular, have become very livable cities, with the air pollution largely erased and lots of new, walkable green spaces.

some 900 cities and towns in China are now served by high-speed rail, which makes travel to even remote communities incredibly cheap, easy and comfortable

Just when trust has become more important than ever between the U.S. and China, it also has become scarcer than ever. Bad trend.

China’s stability is a product of both an increasingly pervasive police state and a government that has steadily raised standards of living. It’s a regime that takes both absolute control and relentless nation-building seriously.

For an American to fly from New York’s Kennedy Airport into Beijing Capital International Airport today is to fly from an overcrowded bus terminal to a Disney-like Tomorrowland.

China got an early jump on A.I. in two realms — facial recognition technology and health records — because there are virtually no privacy restrictions on the government’s ability to build huge data sets for machine learning algorithms to find patterns.

“ChatGPT is prompting some people to ask if the U.S. is rising again, like in the 1990s,”

“I understand your feeling: You have been in the first place for a century, and now China is rising, and we have the potential to become the first — and that is not easy for you,” Hu said to me. But “you should not try to stop China’s development. You can’t contain China in the end. We are quite smart. And very diligent. We work very hard. And we have 1.4 billion people.”

Before the Trump presidency, he added: “We never thought China-U.S. relations would ever become so bad. Now we gradually accept the situation, and most Chinese people think there is no hope for better relations. We think the relationship will be worse and worse and hope that war will not break out between our two countries.”

A lot of people hesitated when I asked. Indeed, many would answer with some version of “I’m not sure, I just know that it’s THEIR fault.”

t was repeated conversations like these that got me started asking American, Chinese and Taiwanese investors, analysts and officials a question that has been nagging at me for a while: What exactly are America and China fighting about?

the real answer is so much deeper and more complex than just the usual one-word response — “Taiwan” — or the usual three-word response — “autocracy versus democracy.”

Let me try to peel back the layers. The erosion in U.S.-China relations is a result of something old and obvious — a traditional great-power rivalry between an incumbent power (us) and a rising power (China) — but with lots of new twists

One of the twists, though, is that this standard-issue great-power rivalry is occurring between nations that have become as economically intertwined as the strands of a DNA molecule. As a result, neither China nor America has ever had a rival quite like the other.

in modern times, China, like America, has never had to deal with a true economic and military peer with which it was also totally intertwined through trade and investment.

Another new twist, and a reason it’s hard to define exactly what we’re fighting about, has a lot to do with how this elusive issue of trust and the absence of it have suddenly assumed much greater importance in international affairs.

This is a byproduct of our new technological ecosystem in which more and more devices and services that we both use and trade are driven by microchips and software, and connected through data centers in the cloud and high-speed internet

so many more things became “dual use.” That is, technologies that can easily be converted from civilian tools to military weapons, or vice versa.

no one country or company can own the whole supply chain. You need the best from everywhere, and that supply chain is so tightly intertwined that each company has to trust the others intimately.

when we install the ability to sense, digitize, connect, process, learn, share and act into more and more things — from your GPS-enabled phone to your car to your toaster to your favorite app — they all become dual use, either weapons or tools depending on who controls the software running them and who owns the data that they spin off.

As long as most of what China sold us was shallow goods, we did not care as much about its political system — doubly so because it seemed for a while as if China was slowly but steadily becoming more and more integrated with the world and slightly more open and transparent every year. So, it was both easy and convenient to set aside some of our worries about the dark sides of its political system.

when you want to sell us ‘deep goods’ — goods that are dual use and will go deep into our homes, bedrooms, industries, chatbots and urban infrastructure — we don’t have enough trust to buy them. So, we are going to ban Huawei and instead pay more to buy our 5G telecom systems from Scandinavian companies we do trust: Ericsson and Nokia.”

as we’ve seen in Ukraine, a smartphone can be used by Grandma to call the grandkids or to call a Ukrainian rocket-launching unit and give it the GPS coordinates of a Russian tank in her backyard.

So today, the country or countries that can make the fastest, most powerful and most energy efficient microchips can make the biggest A.I. computers and dominate in economics and military affairs.

As more and more products and services became digitized and electrified, the microchips that powered everything became the new oil. What crude oil was to powering 19th- and 20th-century economies, microchips are for powering 21st-century economies.

When you ask them what is the secret that enables TSMC to make 90 percent of the world’s most advanced logic chips — while China, which speaks the same language and shares the same recent cultural history, makes zero — their answer is simple: “trust.”

TSMC is a semiconductor foundry, meaning it takes the designs of the most advanced computer companies in the world — Apple, Qualcomm, Nvidia, AMD and others — and turns the designs into chips that perform different processing functions

TSMC makes two solemn oaths to its customers: TSMC will never compete against them by designing its own chips and it will never share the designs of one of its customers with another.

“Our business is to serve multiple competitive clients,” Kevin Zhang, senior vice president for business development at TSMC, explained to me. “We are committed not to compete with any of them, and internally our people who serve customer A will never leak their information to customer C.”

But by working with so many trusted partners, TSMC leverages the partners’ steadily more complex designs to make itself better — and the better it gets, the more advanced designs it can master for its customers. This not only requires incredibly tight collaboration between TSMC and its customers, but also between TSMC and its roughly 1,000 critical local and global suppliers.

As the physics of chip making gets more and more extreme, “the investment from customers is getting bigger and bigger, so they have to work with us more closely to make sure they harvest as much [computing power] as they can. They have to trust you.”

China also has a foundry, Semiconductor Manufacturing International Corporation, which is partly state-owned. But guess what? Because no global chip designers trust SMIC with their most advanced designs, it is at least a decade behind TSMC.

It’s for these reasons that the erosion in U.S.-China relations goes beyond our increasingly sharp disagreements over Taiwan. It is rooted in the fact that just when trust, and its absence, became much bigger factors in international affairs and commerce, China changed its trajectory. It made itself a less trusted partner right when the most important technology for the 21st century — semiconductors — required unprecedented degrees of trust to manufacture and more and more devices and services became deep and dual use.

when American trade officials said: “Hey, you need to live up to your W.T.O. commitments to restrict state-funding of industries,” China basically said: “Why should we live by your interpretation of the rules? We are now big enough to make our own interpretations. We’re too big; you’re too late.”

Combined with China’s failure to come clean on what it knew about the origins of Covid-19, its crackdown on democratic freedoms in Hong Kong and on the Uyghur Muslim minority in Xinjiang, its aggressive moves to lay claim to the South China Sea, its increasing saber rattling toward Taiwan, its cozying up to Vladimir Putin (despite his savaging of Ukraine), Xi’s moves toward making himself president for life, his kneecapping of China’s own tech entrepreneurs, his tighter restrictions on speech and the occasional abduction of a leading Chinese businessman — all of these added up to one very big thing: Whatever trust that China had built up with the West since the late 1970s evaporated at the exact moment in history when trust, and shared values, became more important than ever in a world of deep, dual-use products driven by software, connectivity and microchips.

it started to matter a lot more to Western nations generally and the United States in particular that this rising power — which we were now selling to or buying from all sorts of dual-use digital devices or apps — was authoritarian.

eijing, for its part, argues that as China became a stronger global competitor to America — in deep goods like Huawei 5G — the United States simply could not handle it and decided to use its control over advanced semiconductor manufacturing and other high-tech exports from America, as well as from our allies, to ensure China always remained in our rearview mirror

Beijing came up with a new strategy, called “dual circulation.” It said: We will use state-led investments to make everything we possibly can at home, to become independent of the world. And we will use our manufacturing prowess to make the world dependent on our exports.

Chinese officials also argue that a lot of American politicians — led by Trump but echoed by many in Congress — suddenly seemed to find it very convenient to put the blame for economic troubles in the U.S.’s middle class not on any educational deficiencies, or a poor work ethic, or automation or the 2008 looting by financial elites, and the crisis that followed, but on China’s exports to the United States.

As Beijing sees it, China not only became America’s go-to boogeyman, but in their frenzy to blame Beijing for everything, members of Congress started to more recklessly promote Taiwan’s independence.

Xi told President Biden at their summit in Bali in November, in essence: I will not be the president of China who loses Taiwan. If you force my hand, there will be war. You don’t understand how important this is to the Chinese people. You’re playing with fire.

at some level Chinese officials now understand that, as a result of their own aggressive actions in recent years on all the fronts I’ve listed, they have frightened both the world and their own innovators at precisely the wrong time.

I don’t buy the argument that we are destined for war. I believe that we are doomed to compete with each other, doomed to cooperate with each other and doomed to find some way to balance the two. Otherwise we are both going to have a very bad 21st century.

I have to say, though, Americans and Chinese remind me of Israelis and Palestinians in one respect: They are both expert at aggravating the other’s deepest insecurities.

China’s Communist Party is now convinced that America wants to bring it down, which some U.S. politicians are actually no longer shy about suggesting. So, Beijing is ready to crawl into bed with Putin, a war criminal, if that is what it takes to keep the Americans at bay.

Americans are now worried that Communist China, which got rich by taking advantage of a global market shaped by American rules, will use its newfound market power to unilaterally change those rules entirely to its advantage. So we’ve decided to focus our waning strength vis-à-vis Beijing on ensuring the Chinese will always be a decade behind us on microchips.

I don’t know what is sufficient to reverse these trends, but I think I know what is necessary.

If it is not the goal of U.S. foreign policy to topple the Communist regime in China, the United States needs to make that crystal clear, because I found a lot more people than ever before in Beijing think otherwise.

As for China, it can tell itself all it wants that it has not taken a U-turn in recent years. But no one is buying it. China will never realize its full potential — in a hyper-connected, digitized, deep, dual-use, semiconductor-powered world — unless it understands that establishing and maintaining trust is now the single most important competitive advantage any country or company can have. And Beijing is failing in that endeavor.

In his splendid biography of the great American statesman George Shultz, Philip Taubman quotes one of Shultz’s cardinal rules of diplomacy and life: “Trust is the coin of the realm.”