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Russia putting anti-jam antennas on foam decoys for Shaheds: Ukraine
Ukrainians have been finding 12-element Kometa antennas, which provide stronger jamming resistance, on their cheap Gerberas, a top analyst said.
Svitolina upsets Gauff to win Italian Open thriller
Ukraine's Elina Svitolina battles to a third Italian Open title courtesy of a thrilling three-set win against Coco Gauff in the final.
Latvia’s president asks opposition leader to form new government
If opposition leader Kulbergs were to form a government, the cabinet lineup would need to be approved by parliament.
Chartbook 449: Voldemort on Threadneedle street. The Bank of England and the "haunted house" of English politics.
Imagine the scene: In some Harry Potter version of 21st-century London, a group of deathless UK Treasury officials gathered from across the last century huddle over warm pints and glasses of Chardonnay. Around the table there are officials from the 1920s, the 1930s, the 1970s, 2022 and today. Inevitably, in May 2026, the subject of conversation is the disintegration of the current Labour government. Despite its huge majority in parliament, it has been reduced to tatters by catastrophic local election result. These exposed the fact that rather than having a government with a clear popular majority, the UK is like most other modern societies divided into 5 segments each of which commands between 26 and 16 percent of the vote. Perhaps unsurprisingly, the leadership at Nos 10 and 11 Downing Street - where the Prime Minister and the Chancellor (Treasury Secretary) work - seem paralyzed. They are caught between mounting discontent over unfairness and the cost of living, and tough fiscal strictures that push them into making unpopular spending decisions. In the London pub, the Treasury officials from across the ages, can barely hide their satisfaction at the latest display of democratic politics caught in the vice-grip of financial logic. “Remember the mur d’argent and the banker’s ramp?” “Just like yesterday!” There are smirks around the table. Then the representative of 2026 pipes up: “One thing you have to say about the current lot (referring to the latest hapless Labour government), you don’t have to teach them about the bond market!” There is a murmur of ascent from the Treasury Mandarins. The trauma of the fiscal crisis of September-October 2022 sits deep. Back then, in the final stages of Tory decay, a ‘mini budget’ that challenged fiscal orthodoxy led to a brief but fierce panic in one of the oldest government bond markets in the world (aka gilt market). Now all you have to do is to mention the “bond market” to hush debate. [ Paul Mason@paulmasonnews In the name of public service, and as ex-economics editor of BBC Newsnight, I offer to do a zoom call, tonight, with any Labour MP who wants to understand why bond markets do not "fall into line" with governments. 1/ 3:57 PM · May 12, 2026 · 466K Views 224 Replies · 674 Reposts · 3.93K Likes ](https://x.com/paulmasonnews/status/2054229532404519082?s=20) “And the funny thing is”, the young man in the huddle continues, “they don’t even want to talk about … ”. There is a sudden hush. Significant looks are exchanged around the table. About? One of the senior figures puts down his glass with a decisive “clink”. He-Who-Must-Not-Be-Named has entered their thoughts. Meanwhile, a few miles away in a grubby pub in Bloomsbury, two conspirators from the camp of Critical Macrofinance huddle over cans of low-alcohol IPA. They look at each other and blurt out loud: “The Bank!” “Everyone in the bloody Labour party is talking about the bond market. But why aren’t they even mentioning … the Bank of England!?” “Why is no one talking about Voldemort?” In Paul Mason’s blogpost, after much chest-thumping about basic fiscal logic, the basic point about the Bank of England is buried in the fine print at #3 in his list of suggestions as to what a radical Labour government might actually be able to do! [ Conflict & Democracy Down with the bond market! Down with gravity! It may seem unfair to focus on Labour MP Paula Barker for her off-the-cuff assertion that the bond market would have to “fall in line” with Andy Burnham, should he replace Keir Starmer as prime minister. But Burnham himself told the New Statesman that Labour had to “get beyond this thing of being in hock to the bond markets… Read more 2 days ago · 100 likes · 3 comments · Paul Mason ](https://htsf.substack.com/p/down-with-the-bond-market-down-with?utm_source=substack&utm_campaign=post_embed&utm_medium=web) Back in Bloomsbury they shake their heads and ask: “Didn’t we learn anything from the Eurozone crisis?” Meanwhile, as if summoned to the conversation by some higher force, the “pink pages” announce: “The days of ultra-cheap government borrowing have come to an end” and Martin “Whizzard” Wolf publishes the graph of the season Look at the UK in 2026, perilously positioned on the upper edge of the pack. No wonder no one in London needs any lessons about the “bond market”. But, look again. Imagine how they feel in Rome. What is London’s nightmare in 2026? The nightmare is that you end up like Italy in the early 2010s during the Eurozone crisis. Once comfortably situated in the middle of the pack, watching with horror as your ten-year yields explode to 7 percent and “spreads” become a national nightmare. One of the largest economies in Europe, a founding member of the euro, stigmatized. But the message of the Italian experience is ambiguous. After all, the stigma didn’t last. In 2026, Italy borrows at rates lower not only than the UK but the US. The US, which, as everyone knows, enjoys the “exorbitant privilege” of being the issuer of reserve, safe asets. What kind of magic is this? How did Italy, in the space of fifteen years, go from being good, to bad and back again? Which brings us back to our dissident friends in their Bloombury boozer and their memories of the Eurozone crisis. Italy never was Britain - with its ongoing fiscal deficits. Without interest payments, on primary balance, from 2000 to 2020 Italy ran a tight fiscal ship. Even in 2008 it barely went into deficit and when it was being put on the rack in the early 20210s its primary surplus matched that of austere Germany. So, what happened? How did it end up stigmatized? Of course Italian politics didn’t help. Berlusconi was at the helm and he had legal issues. But amongst friends in the Bloomsbury pub, Berlusconi is a sideshow, the name we whisper to each other is “Trichet”. From 2004 to 2011 the ECB was headed by Jean-Claude Trichet, ex of the French Treasury, more German than the Germans. After 2009 as the news of the Greek fiscal disaster broke, the European bond markets wento into panic mode and Trichet began a brutal game of cat and mouse. Between 2009 and 2011, Trichet intervened in the bond market to help, only when he thought he had compliance with austerity. When he thought they were uncooperative, he withdrew. In the summer of 2011, he even made direct suggestions to his Italian counterparts in Rome, as to how Italy should be governed. It was this cat and mouse game that drove the bond markets crazy and exposed Italy to a violent squeeze. When Mario Draghi took over the ECB at the end of 2011 and declared “whatever it takes”, the pressure on Italy, gradually eased. It is that starring role that has made Draghi into the towering figure in European politics that he remains today. So now you see why voices in London hush when it comes to the Bank of England. “The bond market” isn’t an irresistible objective force like the weather or an avalanche. It can appear like that. But that depends on the way it is being handled, or not handled by the central bank. Which is why the silence about the Bank of England in London right now is so significant. If you think this all sounds a bit fishy, coming from a left-liberal Keynesian like myself, well, let me introduce you to Robin Brooks, who, to put it mildly, plays on a different quidditch team to me. Here, from the position of a fiscal hawk is Robin’s celebratory account of the Bank of England’s role since 2022; In October 2022, at the height of the bond market blow-up in the UK, something incredible happened. Governor Andrew Bailey told British pension funds the Bank of England would end its support program for the country’s fragile gilt market, drawing a line under how much help the central bank was willing to give to exposed pension funds and - implicitly - the government. By the end of that week, Kwasi Kwarteng - the finance minister - had resigned. Prime Minister Liz Truss would soon follow. This episode is so incredible because it contrasts with what happened in the Euro zone earlier that year. Bond markets in Spain and Italy were under pressure amid high inflation and rising interest rates. In the middle of this, Mario Draghi - Italy’s Prime Minister - resigned, compounding pressure on bond markets of high-debt countries on the Euro periphery. Unlike the Bank of England, the ECB caved. It bought Italian and Spanish government bonds in an effort to cap yields and introduced a new tool that signaled to markets it might do such caps more frequently going forward. Faced with pressure on bond markets, the ECB capitulated to political pressure from high-debt countries like Italy and Spain. The Bank of England stood its ground and toppled the Truss government. This kind of thing has long-lasting consequences. It means markets price a higher probability of yield caps in the Euro zone, which keeps Italian and Spanish yields artificially low, while markets feel free to push up UK yields without fear of central bank intervention. As I flagged in yesterday’s post, this means you really can’t compare UK yields to those of other high-debt countries. The UK looks worse, but only because its central bank isn’t interfering with markets. There’s more to this than just that 2022 episode. The Bank of England has also been much more aggressive in its quantitative tightening (QT) than other central banks. If one motivation for quantitative easing (QE) is to lower bond yields - especially longer-dated ones - then it stands to reason QT pushes yields up. The left chart above shows a four-quarter moving average of UK government debt issuance (black line) in percent of GDP and which sectors absorb this issuance, including the Bank of England (blue bars). The right chart above compares the Bank of England’s accumulation or run-off of government bonds (blue line) with that of other central banks, where this blue line is the same as the blue bars in the left chart. The Bank of England was quicker and more aggressive than other central banks in downsizing its bond holdings, so UK yields will have risen more than elsewhere also for this reason, not just because of Governor Andrew Bailey’s remarks in October 2022. Back in October 2025, after a conversation in New York with friends in British politics, my sense of dysphoria was such that I raised the issue of the Bank of England openly in the FT Since 2008, the UK has slid into a deep economic and political predicament. Growth has stagnated to a degree far worse even than in the 1970s. The Tory leadership’s wager on the Brexit referendum spectacularly backfired, leaving the UK isolated from Europe and at the mercy of its special relationship with the US, many of whose political class regard the UK as a basket case. After years of austerity, the Labour party lurched to the left and then back to the centre. The Tory party has been eclipsed by the populist nationalism of Reform. Any British government should be worrying first and foremost about how to restart growth. Instead, Keir Starmer is beset by shades of the gilt market panic triggered by the Liz Truss government in 2022. The debt level is higher than in recent years, but there is no cause for panic. UK debt is at far from critical levels and of long duration. Whether you want to “take back control” or launch progressive economic policy, a democracy dogged by fear of bond market vigilantes is unhealthy. In a country that is a monetary sovereign, this climate points to one thing: a disconnect between the government and the central bank. Since 1997, the independence of the Bank of England has become a sacred cow. But independence is what you make of it. And in the wake of the gilt market crisis of September 2022, relations between the Bank of England and the UK government need a reset. In normal times, there is no doubt that an inflation-targeting independent central bank can serve a country well. But since 2008, the UK and other advanced economies have not had the luxury of such simple problems. To their credit, central bankers around the world have not stood on orthodoxy. After 2008, the US Federal Reserve rescued the global banking system and, through quantitative easing, it stabilised the Treasury market in the face of huge deficits. In Europe, things were trickier. Both the Bank of England under Mervyn King and Jean-Claude Trichet’s European Central Bank played cat and mouse with national governments. This was a high stakes wager that between 2010 and 2012 escalated bond market tension and triggered a disastrous turn to austerity. Shaken by the impact of those shocks, their successors, Mark Carney and Mario Draghi adopted a more protective stance (assuming you were not the government of Greece). Recall that Draghi’s legendary slogan, “Whatever it takes”, was uttered to face down the City of London’s bond vigilantes. In 2015, Draghi launched QE — financial repression by another name. In 2016, Carney used the authority of the Bank of England to stabilise markets following the vote for Brexit, an exemplary demonstration of how central banks can underpin democratic choice, even when those choices are wrong headed. All these were independent central bankers steeped in the best practice of the 1990s, who recognised that historic crises demanded radical action. It was the price surge of 2021-2023 that poisoned the atmosphere. Though the shock came mainly from the supply side, central banks ended up in the dock. Nowhere more so than in the UK. The Bank of England reacted with aggressive normalisation. Faced with a cost of living crisis, the governor called for workers to accept real wage cuts. In early 2022, as gas prices were at record levels and Russia’s army was poised to invade Ukraine, the Bank adopted a stringent programme of quantitative tightening, elevating interest rates. When the Truss government got itself in trouble, the Bank took almost a week to come to the rescue. Rather than enacting a charade of normality, it is time to recognise that in 2025 the UK faces a period of historic transition. To meet this challenge, what is needed is a new concordat with the Bank. This should not ignore inflationary pressures or the long-run trajectory of debt, but should affirm the priority of reviving investment-led growth. One could follow Donald Trump in demanding interest rate cuts. The Bank could shadow the ECB in its commitment to capping Eurozone yields. But the top priority should be to lay the ghost of September 2022. The Bank’s slowing of QT last month was a concession. An immediate and complete end would send the right signal. Such a concordat will not by itself restore sanity to politics, solve the housing problem or rebuild the NHS. But it would help to lift the fear of bond market crisis, which is paralysing the effort by democratic politicians to answer the fundamental questions facing the nation. Now, that call for a new concordat between government and Bank of Englands seems more urgent than ever. The problem is that in October 2025, Starmer still had some authority. Today the government is in tatters. And when you are the “under the harrow” - to echo a phrase of Montagu Norman’s from the 1920s - it is the worst possible time to consider institutional change. To make general arguments at a time of crisis can only seem like special pleading rather than a general argument for long-term change. The same, unfortunately, is also true for the other basic institutional reform that Britain urgently needs i.e. the abolition of the out-dated first past the post electoral system and its replacement by a moderated form of proportional representation. And thirdly - whilst we are saying the quiet parts out loud - Britain needs to reopen the question of EU membership. What the local election results of 2026 show is that this remains a key issue. And what they also show is that there is a clear majority that would favor a return. Until these basic features of Britain’s political economy are addressed the country will carry on its politics as though in a haunted house, governed by governments that lack actual majorities, conjuring up false constraints whilst ignoring the real ones. This one is for DG and MI. I love writing the newsletter. If you enjoy it too and fancy buying me a coffee once a month, you know what to do. Click below! Subscribe
Ukraine court orders arrest of Zelenskyy ally Andriy Yermak
Andriy Yermak resigned in November 2025, after investigators raided his home in a sweeping corruption probe.
GOP centrists defy Trump and force future House vote on major Russian sanctions bill
A small bloc of GOP lawmakers defied their leadership — and President Donald Trump — by forcing the House to soon take up a major bill to deliver US military support to Ukraine while imposing steep sanctions on Russia.
New chancellor named at LSUA, ex-New Orleans City Council president leads pro-Ukraine program
Take a look at some of the recent promotions and new hires announced at south Louisiana businesses.
Ukraine war could be coming to an end, Russia’s Putin says
Russia's 2022 invasion of Ukraine triggered the most serious crisis in relations between Russia and the West since the 1962 Cuban Missile Crisis, when many people feared the world was on the...
Russia marks Victory Day as the Ukraine war drags on
Amid tight security and a partial internet shutdown, Russia marked Victory Day after agreeing to a brief ceasefire in Ukraine. In his speech, Russian president Putin invoked Soviet victory to bolster support for the war in Ukraine.
‘The odds are not in our favour’: who sets the Doomsday Clock – and what can they tell us about the future of humanity?
With the war on Iran, Ukraine, AI and climate breakdown increasing the likelihood of a nuclear war, the clock stands closer to midnight than ever before. So who decides how many seconds we have left – and can we buy ourselves more time?
Science diplomacy lessons from a North Korean volcano
Mount Paektu, a mythic, active volcano on the border between North Korea and China, is almost the epitome of a scientific challenge that crosses political lines. In 946 CE, it erupted in one of the five biggest volcanic events of the past 10,000 years, kicking up huge quantities of ash and sending destructive mud flows down river channels for hundreds of kilometres. Should this happen again, the entire region, including easternmost Russia, South Korea and even Japan could be hit. “It’s definitely got the potential to be big,” said James Hammond, a professor of geophysics at Birkbeck, University of London. An eruption on the scale of 946 would have “huge regional impact.” For the past 15 years, Hammond has helped lead a groundbreaking collaboration with North Korean scientists to study the volcano, navigating scientific sanctions, tough export controls on scientific equipment and a long, pandemic-enforced exodus from the country. Although he seems more at home on far-flung research expeditions – before speaking to Science|Business, Hammond was camping out on a Greenland ice sheet – he has also advised the European Commission on its changing science diplomacy strategy. His long experience with North Korea has made Hammond sceptical of blanket bans on science collaboration, no matter the country.This is a live question in Europe, where in the wake of Russia’s 2022 invasion of Ukraine, institutional ties with Russian universities were almost entirely severed, although some scientists fear this could undermine our understanding of climate change’s impact on the Arctic. Here, Hammond tells the story of the Mount Paektu mission and the policy lessons he takes from it. Ominous rumblingsThe genesis of Hammond’s collaboration came in 2002, when Mount Paektu began to rumble ominously. Earthquake activity picked up and the volcano began to emit unusual gases. North Korean scientists took notice. “People felt we need to know more about this volcano,” said Hammond. In 2011, North Korean vulcanologists put out a request for international expertise to help them learn more. At the time, Hammond and his collaborator, Clive Oppenheimer, were working on a vulcanology project in another sanctioned country, Eritrea, and so decided to answer the call. Within a month, they had flown into Pyongyang. “It was pretty incredible,” recalls Hammond (left). “We were made to feel like honoured guests, and invited to official celebrations.” The scientific opportunity was huge. Paektu is unusually positioned, a thousand kilometres from where tectonic plates rub against each other in the Pacific. “It was an incredibly interesting volcano, but not much research had been done, at least not in the international community,” he said. “There was so much we felt we could do. And we had these partners that were super keen to engage.”The mission received an unusual visitor in the form of volcano-obsessed filmmaker Werner Herzog, who accompanied Hammond and Oppenheimer while directing his 2016 film Into the Inferno about volcanos across the world. Four days into the trip, the German director delivered a long speech about reunification to his North Korean hosts, recalls Hammond. “He got to the heart of the Koreans and how they felt, and how they thought, in a way that I'm not sure I ever will,” he said. UN sanctionsHowever, Hammond realised he’d been “naïve” about how difficult it would be to collaborate with North Korea, which was sanctioned far more heavily than Eritrea. “We didn’t fully appreciate the all-encompassing nature of restrictions,” he said. In 2016, as tensions escalated over Pyongyang’s nuclear tests, a United Nations resolution banned all joint scientific work with North Korea. However, the UN sanctions did allow countries to request carve outs, and the UK successfully requested an exemption for Hammond’s work. Related articlesEU pushes for joint science diplomacy, but care needed to avoid gridlock, experts sayRussia severs its last ties with German scienceAnchor Greenlanders in Arctic climate research, experts tell EU ahead of policy updateExport controls have also delayed Hammond’s work. In one case, it took 18 months to get approval from the UK government to take seismometers, which measure earthquakes, to North Korea. “It was frustrating,” he said. “But they didn’t just say no.” However, one instrument, called an induction coil, used to measure how the earth conducts electricity, was blocked entirely because it can in theory be used to detect submarines. Karaoke bondingSince the collaboration started in 2011, Hammond has visited the country around 15 times, although the pandemic closed off North Korea for more than five years. A trip last November was Hammond’s first since the outbreak. Despite this lengthy interlude, Hammond has deep bonds in the country. The North Korean scientists Hammond works with are somewhat isolated, as they struggle to access the latest research papers and travel to international conferences. That said, they are “excellent geophysicists” and are “very well trained in the field,” he said. Over karaoke and chats about their families, “we’ve made friendships, for sure,” he said. The authorities have to sign-off things like the placement of seismometers, for example, but Hammond said these requests have been approved. “Everything that we've asked for within a scientific context has been delivered.”Scientific backchannels? These kind of personal links between scientists across political lines are one purported benefit of science diplomacy. During the Cold War, some historians argue, scientific contact between the US and Soviet Union laid a groundwork of trust for other cooperation, such as on arms control. Hammond agrees that backchannel contacts to North Korean geophysicists are hardly likely to defuse a military crisis on the Korean peninsula, but the simple fact of the scientific collaboration makes contacts between diplomats that little bit easier. “It creates opportunities to understand each other a little bit better,” he said. “When maybe you have those more difficult discussions as diplomats, it's coming from a slightly better place.” Cutting tiesDrawing lessons from the Mount Paektu mission for today’s links with Russian science isn’t simple. The analogy is far from exact, Hammond said, “because one is essentially a Cold War, versus a pretty hot war in the case of Russia.” But Hammond’s broader argument is that the challenges we face, such as climate change, pandemics, biodiversity loss, pollution and so on, have globalised in an unprecedented way, making blanket shutdowns in collaboration with any country unwise.He’s somewhat critical of the UN scientific sanctions imposed on North Korea in 2016, even though they did allow for exceptions. “I think a blanket halt to some of these things, when we face big global challenges [. . .] that’s quite a risky thing to do,” he said.Institutional endorsement?European academics are still by and large free to work individually with Russian counterparts. However, official, institutional partnerships have largely ended. Shortly following the full-scale invasion of Ukraine in 2022, Russian university rectors wrote a public letter endorsing the war, meaning European universities fear official collaboration could also be seen as a kind of endorsement. Hammond acknowledges there is a risk of legitimising regimes, and state-controlled universities, through scientific cooperation. “That’s the trade off you have to make,” he said. Strategic projectsWith Russia, instead of giving a green light to restart all Arctic science, a middle ground might be firing up a few carefully selected “strategic” projects, said Hammond. After all, European countries are still collaborating with Russia on the International Thermonuclear Experimental Reactor, an experimental nuclear fusion plant in the south of France. However, even if Europe did try to revive Arctic science with Russia, there’s no guarantee Russian scientists would play ball. A series of high-profile arrests of physicists in Russia accused of sharing their findings with the outside world has made collaboration fraught. Even before the invasion of 2022, “the Russian regime made it increasingly difficult, and this sort of discouraged people,” Dag Rune Olsen, rector of the Arctic University of Norway, told Science|Business last year.
Ukraine war challenging the Western obsession with 'perfect' weapons
The West has long focused on making exquisite weapons, but the war is demonstrating that weapons that are adaptable and widely available is key.
Ukraine releases new video of Flamingo missiles launching into battle
The homegrown FP-5 Flamingos struck a military-industrial site in the Russian city of Cheboksary, about 370 miles east of Moscow.
Starmer says UK opening talks with EU on joining €90bn loan scheme for Ukraine
The prime minister is backing the deal as it would allow British firms to access the contracts funded by the loan
UK to enter talks to join £78bn EU loan scheme for Ukraine
Sir Keir Starmer will meet leaders at the European Political Community summit in Armenia on Monday.
Research commissioner pitches EU to US scientists and investors
Research Commissioner Ekaterina Zaharieva is just back from a two-day trip to San Francisco, where she pitched the EU as the place to be for US researchers looking to move and US venture capitalists looking to invest. A Commission spokesperson told Science|Business that Zaharieva used the trip to “promote Europe as a stable, rule-based and vibrant innovation destination.” She emphasised Europe’s excellent infrastructure and predictable funding, particularly through the European Research Council (ERC) and Europe Innovation Council.These are already proving tempting, with applications from US-based researchers to ERC and Marie Skłodowska-Curie Actions (MSCA) calls increasing substantially over the past few years. According to the Commission, the number of US-based applicants for the annual ERC Consolidator Grant call rose from 19 in 2025 to 64 in 2026, while US bids to the ERC Advanced Grant call rose from 23 in 2024 to 114 in 2025. Meanwhile, US applications to the MSCA Postdoctoral Fellowships scheme rose from 352 in 2024 to 998 in 2025.Pressure on US scientists to seek alternative employment has increased since Donald Trump’s return to the White House. Jobs at federal science agencies have been slashed, funding cut in some research areas and international scientific partnerships turned upside down. He has also made unprecedented attempts to control university affairs.During her trip, Zaharieva made a point of highlighting the protection of academic freedom in Europe, “especially in areas like climate change, renewable energy, and health, where US funding has faced cuts,” the spokesperson said.She also underlined the EU’s “attractive long-term career opportunities and relocation support for top researchers from anywhere in the world,” especially through its new Choose Europe for Science initiative.“Transatlantic cooperation remains essential to tackle global challenges while safeguarding shared values such as academic freedom and openness,” Zaharieva wrote on social media ahead of her visit.Related articlesERC walks back stricter resubmission rules for 2027Don’t feel guilty about poaching scientists fleeing Trump, US science body tells EuropeHer itinerary took in Stanford University’s business school and school of medicine, where topics for discussion included entrepreneurship and interdisciplinary collaboration. She also met with venture capital firms, including Playground Global, Forgepoint Capital and Akkadian Venture Capital, as well as the California Public Employees’ Retirement System, the largest public pension fund in the US.Other meetings included Jensen Huang, the chief executive of AI chip manufacturer Nvidia, and local business associations such as the Bay Area Council and EuroCham. European delegations in the area also received visits, including Advantage Austria and France’s La French Tech, and the Consulate General of Ukraine in San Francisco.
Russia’s sports comeback fuels anger in Ukraine
Ahead of a key meeting about curling, a top Ukrainian minister tells POLITICO he is “deeply concerned” about the trend toward readmission.
Ukraine's war startups are pushing to meet NATO standards, win deals
Ukraine's wartime startups are racing to meet NATO standards and ready for exports and Western defense deals as global demand for their tech surges.
India beat Ukraine in Uber Cup, SC Delhi vs Mohammedan SC in ISL, Jr. Shooting World Cup continues: Indian Sports LIVE, April 26
Here are all the updates from Indian sports on April 26, 2026.
Trump dismisses Prince Harry’s comments on Ukraine ahead of royal visit
President Donald Trump on Thursday brushed off remarks by Prince Harry asking the US for more action to end the war in Ukraine, saying the British royal does not speak for the United Kingdom.
To protest rising taxes, Russia’s small businesses take their ‘flash mobs’ online
With the costs of the war in Ukraine growing, the Kremlin has been raising taxes on and rolling back exemptions for Russian small businesses.
This Ukrainian drone company fears missing Iran war moment
Ukraine's battle-proven drone interceptors are seeing new interest. One maker worries that without being able to export, it will miss the window.
Russia drafts time limit on privatisation lawsuits to reassure business
A new Russian draft law would set a 10-year limit on legal claims disputing privatisation deals, after business leaders complained about a surge in state seizures of private property since the start of the military campaign in Ukraine.
Drone wars: The strategic convergence between Ukraine and Iran
Seeing Ukraine and Iran as interconnected can help the US better prepare for future wars and remain steps ahead of its adversaries.
"War is our reality": 4A reveal Metro 2039, a horror FPS inspired by Russia's invasion of Ukraine
Metro 2029 returns the FPS series to the tunnels of Moscow, but this time it's "told from a distinctly Ukrainian perspective."
Russian Influencers Turn From Cosmetics To Politics, But Don't Mention The War
Russian influencer Victoria Bonya made a personal address to Russian President Vladimir Putin: In a country where political debate and criticism of the authorities is tightly controlled, she brought up problems people face in their everyday lives. Except the war in Ukraine.
King: Summer is too important for politics to steal
If you can get your mind off the wars in the Middle East and Ukraine, if you can stop checking your 401(K), which seems to have taken off for the
Fighter pilot Rumen Radev looks to break Bulgaria’s political deadlock
Radev is vowing to combat the country’s oligarchs and mafia, but his Kremlin-aligned positions on Ukraine have sparked concern.
Germany's aid to Ukraine faces challenges
Ukrainian-German government talks in Berlin on Tuesday, were overshadowed by worries about continuing support for Ukraine. Political resistance is growing.
In the West, businesses can only watch, not stop drone threats
With few options available, businesses and the wealthy in the West are buying drone detectors, a technology used often in Ukraine, to spot threats.
From War Hero to Politics, Zelenskiy’s Top Aide Steps out of the Shadows
Kyrylo Budanov was taken from military intelligence to run Ukraine’s presidential office. It’s a political post that has Kyiv powerbrokers speculating over his future career path.
“AI polls” are fake polls
A few weeks after Donald Trump’s second presidential win, I took the train up from London (where I was living at the time) to Oxford to attend a conference on polls and forecasts of the 2024 election. Most of the attendees were pollsters or academics, but I also watched presentations from Aaru and Electric Twin, two companies that do what is interchangeably called synthetic sampling, silicon sampling, or synthetic audiences. Stripped of startup jargon, that means they use large language models (LLMs) to simulate responses to public opinion polls by having AI agents take on the role of survey respondents. I had already heard of Aaru thanks to some articles with eye-catching headlines like “No people, no problem: AI chatbots predict elections better than humans” in the months leading up to Election Day. The founders were making some big, some might even say far-fetched claims, such as: “within two years, we will simulate the entire globe — from the way crops are grown in Ukraine to how that impacts production of oil in Iraq, trade through the strait of Malacca, and elections for the mayor of Baltimore.” When Semafor asked Aaru’s cofounders — Cameron Fink and Ned Koh — about my boss, they said “we respect all those who came before us.” Nate (as he so often does) shared his thoughts on Twitter: Fink and Koh were relatively good-natured about this back-and-forth when we spoke at Oxford. They even offered to mail me one of the t-shirts featuring Nate’s quote they apparently had made. I never took them up on the offer, which I now somewhat regret. These synthetic sampling companies fell off my radar for a while, but they do still exist. In fact, Aaru recently received a $1 billion valuation. Is what they’re doing anywhere close to the most important frontier in AI development? Not by a longshot, especially when Anthropic just developed a model so adept at exploiting software vulnerabilities that it’s only being released to 40 companies. Still, silicon sampling is increasingly finding its way into public polling. Axios reported in March that “a majority of people trust their own doctors and nurses” based on findings from Aaru — without mentioning that the “people” in that sentence were actually LLMs. Around the same time, the Public Sentiment Institute “boosted” their online sample of 373 real survey respondents with 114 AI agents.1 (Spoiler alert: even the co-founder of Electric Twin doesn’t think that’s a particularly defensible approach.) Polling companies like Qualtrics and Ipsos are also developing synthetic data panels. So, what should we make of these … “polls”? Let’s get one thing out of the way: whatever they are, they’re not polls in the way that term is usually defined. Subscribe You can’t replace polls with AI On one hand, using LLMs to essentially make up fake survey respondents sort of sounds like the dumbest idea ever, one that will at best imperfectly replicate real polls while introducing all sorts of biases. On the other hand, with LLMs improving at a remarkable, perhaps even alarming rate, maybe that means I’m a dinosaur at the ripe old age of 24 because I still want to rely on polls that talk to actual people. I’m not going to argue that synthetic samples are completely useless. In fact, as I’ll return to later, there is evidence that some techniques can replicate topline survey results quickly and cheaply. But the marketing from certain companies can be slightly optimistic. “No traditional poll will exist by the time the next general election occurs,” said Fink in 2024. We’re just 206 days away from the midterms, and based on the fact that I still have to collect a bunch of polls every day, I’d say he should have run that prediction by a sample of AI agents before the interview.2 To see why synthetic samples can’t replace polls, here’s a quick primer on how they work. The simplest version of these models involves taking a LLM (like ChatGPT or Claude), giving it a demographic profile (e.g., a white, college-educated woman who lives in Utah and makes $70k a year), and then asking it to respond to a survey question. You repeat that process a few thousand times using different demographic profiles and end up with a sample of synthetic survey responses. The actual models used by private companies are more sophisticated than this, usually because they incorporate more hypothesized demographic characteristics for each agent and provide them with extra information. Aaru, for example, feeds agents a diet of news and information they’d be likely to consume, while Electric Twin incorporates their customers’ proprietary data about the audience they’re trying to replicate. The way Ben Warner, the co-founder of Electric Twin, explained it to me was “we have a large amount of data on […] for instance, 5,000 people. Can we make an accurate prediction of how they would respond to another question?” Still, it should be obvious why synthetic samples can’t replace polls. Polling is fundamentally a data collection process. We might use surveys to make predictions by feeding them into election forecasts, but the main purpose of a poll isn’t prediction, it’s gathering new data about what people think and how they feel. Silicon sampling, on the other hand, produces no new data. It’s simply a model: you input LLM training data, demographic prompts, and a bunch of other information, and it spits out a prediction for what a poll would say. We love models here, but models aren’t polls. That difference is an important philosophical sticking point for most pollsters I talk to. “I think politics should stay away from [synthetic sampling], because we’re trying to […] represent the voice of the people,” said Natalie Jackson, a vice president at GQR Insights. Democratic pollster John Hagner told me: “I think I’m just incredibly skeptical of this idea. I don’t think it’s research. At that point, you’re asking the machine to tell you what you already believe.” Hagner has seen some presentations of early synthetic sampling experiments, but so far, “if it’s being used in a campaign, people are keeping it incredibly quiet.”3 But Eli, I hear you saying, aren’t polls themselves increasingly governed by modeling decisions? Indeed they are: pollsters’ choices on which sampling method to use, how to define their likely voter models, and how to weight their samples can and do lead to dramatic differences in the results they publish. Aaru even referenced these limitations in the methodology statement included with that maternal mortality “poll” — although I’m using the term “methodology statement” loosely here, because it doesn’t really explain how the model works at all. We can ignore the (frankly preposterous) implication that synthetic sampling isn’t subject to a separate set of biases. The important point is that there’s still a meaningful difference between using weighting and other statistical techniques on actual polling data and using a model to predict what a poll would say. The latter is far closer to election forecasts or techniques like MRP — potentially useful models, but not a replacement for polls.4 To be fair, other synthetic sampling companies are perfectly happy with the distinction between polls and models. Warner compared polling and synthetic sampling to different tools in a toolbox. “The mistake I think we make is we think that these new tools should either work in exactly the same way or somehow replace these old tools,” he said. “Rather than thinking of it as, okay, so we’ve always had the hammer, we’ve always had the screwdriver, now we’ve got a saw. But don’t use a saw to try [to] do the job of a hammer.” A quick comment from Nate Eli didn’t ask me for a comment — rather rude of him, don’t you think? But since I’m editing this story, I figured I’d add a few quick thoughts rather than putting words in his mouth. Beyond the frequently misleading marketing, what bothers me about the AI “poll” hype is that as AI tools make statistical inference cheaper and/or better (note that these are not synonyms) that actually increases the comparative value of collecting original data. You might be able to train a model to make a reasonable estimate of what some hard-to-reach poll respondent would say — say, a young Black man who voted for Trump. (Such a person checks a number of boxes for a voter who is usually hard to reach in surveys.) Indeed, this is closely related to what models like the Silver Bulletin forecast already do. They essentially smooth out the kinks in noisy survey data by making inferences based on past voting patterns or national polls or surveys of other states. But you don’t actually know what these voters think unless you’re reaching them directly. If there’s a shift in opinion among this subgroup, you’re not going to detect it. So if I were running a campaign, I’d invest more in going the extra mile to find a representative sample of those voters. And then I’d hire some smart quants — or Claude? — to figure out the implications for campaign strategy based on proprietary data that my competitors didn’t have access to. -Nate Silver Are these models any good? If synthetic surveys are just a new type of model, the next obvious question is whether the models are at least accurate. The answer very much depends on who you ask. On one end of the spectrum, you have the maximalist argument that synthetic sampling is more accurate than actual polls. “It’s an incredibly challenging problem to go to someone and say ‘hey, we’re going to be more accurate at predicting human behavior than you, even when you talk to your customers directly’,” Koh recently told CNBC. In his view, synthetic sampling isn’t a saw to polling’s hammer, it’s “magic.” There’s certainly evidence that synthetic samples can replicate certain survey toplines. But if Aaru does have any examples of their approach outperforming the polls, they’re keeping those to themselves.5 Aaru’s 2024 election model, for example, had Kamala Harris leading in Michigan, Nevada, Pennsylvania, and Wisconsin on November 4th. And although they’ve since taken down their forecast page, they gave Harris a 50.5 percent chance of winning the race on November 2nd.6 After the election, Fink told Semafor he was happy enough with those results because they were “within margin of error,” a term that is completely meaningless when applied to a “sample” of AI agents. And of course, Aaru says their models have improved since 2024, so supposedly now they’d be more accurate than the polls? Still, their stronger argument is on cost: “We are significantly faster and cheaper than traditional polling, and still more accurate,” said Fink. The first two claims are undeniably true, but the third brings us to the opposite end of the spectrum. Both Jackson and Hagner are skeptical that these models are reliable for anything beyond replicating common survey toplines. “I just […] don’t think the machines are what we want when we’re looking for nuanced views. My example on this is people in Arizona and Nevada in 2024 who voted for Trump and voted for expanding abortion in their states on ballot initiatives,” said Jackson. Hagner identified another issue. Maybe the synthetic respondents, like sycophantic LLMs, are inhuman in one important way: they’re too nice. “The reports that have come through at the meetings that I’ve been at are that the early experiments on this, they cannot get respondents to be as racist or sexist or, frankly, as negative as human respondents,” he said. Academic research mostly agrees on this point. While there are some papers that show promising results when using LLMs to replicate polling data, most show that LLMs suffer from various quirks like producing too few “don’t know” responses and can seriously overpredict the favorability of politicians like Donald Trump and Kamala Harris. They also seem to struggle with too little variation between demographic subgroups, so the difference in predicted opinion between Democrats and Republicans, for example, is too small. When I asked Warner about these studies, his response to these papers was that just because academics can’t get synthetic sampling to work doesn’t mean that the technique doesn’t work in general. “Actually, the argument is, okay, yours does not [work]. That does not mean […] for this complex set of machinery, which uses a lot of investment, a lot of time, a lot of money, you can’t get it to work.” Cards on the table, I’m somewhat sympathetic to this argument because academics aren’t exactly great at making election forecasts. Usually, the people with skin in the game are the most accurate. Warner’s argument is that the approach Electric Twin takes — which includes, for example, making multiple predictions for each synthetic respondent using different models and prompts and subsequently averaging those to get a final prediction in a sort of ensemble forecast — produces better results than the simpler academic models. Warner shared a comparison between his method and the method from a recent academic paper with me, and Electric Twin was indeed able to get more accurate replication. But even still, he acknowledged that synthetic sampling “is not a crystal ball.” “If you asked me, do I think using other data sources will be more accurate than asking somebody who they will vote for, I would probably say no. But if you asked me ‘would your system be useful for our turnout modeling today?’ I would say yes.” For better or worse, it looks like the method is already getting more popular in the market research world. Most of the clients Aaru touts these days are businesses like EY and McDonald’s. And AI will probably begin to pop up in other parts of the political polling process. Pollsters are already using it to code open-ended survey responses, and some firms, like YouGov, are testing using LLMs to ask survey respondents questions. More worryingly, one danger to actual polls is that AI agents can be used to infiltrate online surveys. Most online polls use various checks to prevent that from happening, but there’s conflicting evidence on how effective those filters are and how prevalent AI agents currently are in online panels. If those agents ever become impossible to detect, it might spell the end of online polling, but the solution isn’t to replace all of your respondents with ChatGPT. Silver Bulletin is a reader-supported publication. To receive new posts and support our work, consider becoming a subscriber. Subscribe 1 That particular poll obviously doesn’t meet Silver Bulletin standards for aggregation. But we exclude all Public Sentiment Institute polls from our averages because we classify them as an amateur polling firm. 2 You could argue that Fink meant the next presidential election, but (a) I’m also confident we’ll still have real polls in 2028 and (b) in that case he should have asked an LLM to define “general election.” 3 Quick caveat: that’s reporting from a Democratic pollster. It’s possible that Republicans are more willing to use AI in political campaigns. 4 Indeed, Silver Bulletin does not include “polls” produced by MRP in our forecasts or averages, and we think it’s extremely misleading when their practitioners describe them in a way that suggests original data had been collected among a large number of states or Congressional districts. 5 A recent report from Aaru and EY did show two examples of a synthetic estimate being closer than a survey to a real-world benchmark — but I’d take those findings with a grain of salt because the report reads more like an ad and didn’t involve any sort of prediction being made ahead of time. 6 For comparison, our odds for Harris on the same day were 48.2 percent.
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Investing in Tomorrow: Strengthening Human Development and Resilience in Ukraine
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