At SXSW London last week I gave a talk called "Five things you need to know about AI," in which I shared what I think are the biggest themes in AI right now. I pulled a few things from our first AI10 list, an annual guide to the most important trends in this buzzy world, but I also veered off on a number of tangents. In my half-hour slot, I tried to cover the key talking points that I think help to make sense of what's going on in tech--and thus the economy--today.

Leaked transcript of UNAIRED 60 Minutes interview exposes REAL reason'callous' CBS star Scott Pelley'deserved to be fired' Urgent recall for 1.1m vehicles over fears they could spontaneously CATCH FIRE even when parked Disgraceful texts'hot' teacher sent boy, 17, who she had illegal sex with where she moaned about her HUSBAND Everyone always said I cleared my throat a lot. But then I developed shoulder pain and doctors discovered the sinister cause... the world's deadliest cancer. Don't leave it too late like I did Obama judge delivers brutal blow to Trump's bold $100K immigrant visa move White couple gave birth to'non-Caucasian' baby. 'Great' mom, 32, tried to gas herself and her three young kids to death after inviting them to'popcorn sleepover' in car, prosecutors allege Karmelo Anthony's parents seen leaving the courtroom in tears just before son's defense team pulls shock move Gaming influencer Alex Cimo dies'very suddenly' aged 32 just a month after'refusing to accept his fate' The porn-fuelled fantasy middle-class husbands are desperate to try with their wives... and it almost always ends in divorce: JANA HOCKING Medical student, 24, died by suicide in his white coat a day after he was suspended for alleged'inappropriate' behavior towards female patient, lawsuit alleges, as his heartbreaking goodbye note to parents is revealed Furious dad films his partner in bed with his 19-year-old son: You've seen the viral video - now all three tell the Daily Mail what REALLY happened in the scandal gripping Australia Girl, 13, mistakenly told she was DYING after Oregon hospital staff made jaw-dropping surgical mistake, parents' $17m lawsuit alleges Parents were told son, 7, had ADHD... not realizing he was battling terrifying disease that has now left him BLIND Mother's final words before she was shot dead'by new husband' in front of her two young children All the backstage gossip from Miami Swim Week: Insider exposes'catty' VIP's diva demands... STEALING... and'morbidly embarrassing' celeb moment everyone is whispering about The seven eerie'signs' researchers claim could prove a loved one is trying to contact you from the afterlife MORE: I speak to dead people in the afterlife. These are just some of the eerie experiences grieving relatives claim is a sign their dead loved-one is trying to contact them.

Manatomo Yoneyama, president of Sumitomo Mitsui Trust Bank, speaks during an interview at the bank's headquarters in Tokyo's Chiyoda Ward on May 22. | JIJI Sumitomo Mitsui Trust Bank plans to invest ¥360 billion ($2.2 billion) to ¥380 billion in digital technologies over three years, President Manatomo Yoneyama said in an interview. The bank also plans to spend ¥30 billion to optimize its operations. It will utilize artificial intelligence technology for office tasks and reposition some 900 employees to client-facing roles. The bank made an AI agent, which can handle people's tasks, "100% internally," said Yoneyama, who took the helm of Sumitomo Mitsui Trust in April after working on digital innovation at the bank. He said the bank is "sensing the advantage" of the in-house development, including smooth utilization of data. It aims to sell the AI agent in fiscal 2028.

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Former Yomiuri Giants manager Shinnosuke Abe was referred to prosecutors on suspicion of assaulting his eldest daughter, though it is believed the police attached a recommendation for leniency. The Metropolitan Police Department on Tuesday sent papers to prosecutors on Shinnosuke Abe, former manager of the Yomiuri Giants, on suspicion of assaulting his eldest daughter. The MPD is believed to have attached a recommendation for leniency. Abe, 47, has admitted to the allegations, according to investigative sources. In the case referred to prosecutors, Abe is suspected of grabbing his 18-year-old daughter by the collar and pushing her down at his home in Shibuya Ward in the capital at around 7 p.m. on May 25. Police arrested Abe at the scene but released him shortly afterward.

'Birdwatching saved me from my gaming addiction' When things were at their worst Edward Bartlett was playing computer games twenty hours a day, sometimes only pausing to eat and sleep. I was addicted to video games, the 28-year-old said. I lived with friends, but for two years I never really saw them in real life. We talked through a gaming microphone. Now the University of Sheffield zoology student has swapped his gaming headset for a pair of binoculars as he's embraced a new passion - birdwatching.

The number of public school students requiring special Japanese-language instruction reached a record high of 84,759 in fiscal 2025. The education ministry plans to launch a model project in fiscal 2027 to provide basic Japanese-language instruction for school life and classes to children of foreign nationals living in Japan. In response to an increase in the number of such children, the ministry aims to establish guidelines for effective language lessons through the project. The number of public school students requiring special Japanese-language instruction, including those who are unable to communicate adequately in daily Japanese conversation, reached a record high of 84,759 in fiscal 2025, which ended in March this year. The number doubled over the past nine years, according to the ministry. Of those students, about 10% were not given sufficient instruction at their schools due to staff shortages and other reasons.

OpenAI, founded in San Francisco in 2015 as a nonprofit research lab, burst into the mainstream with the launch of ChatGPT in November 2022. It has since restructured as a for-profit corporation. SAN FRANCISCO, UNITED STATES - ChatGPT-maker OpenAI on Monday took the first step toward going public, one week after archrival Anthropic announced its own filing, as both companies look to raise the massive sums needed to expand. In a social media post, the Sam Altman-led company said it had confidentially submitted an S-1 registration statement to U.S. securities regulators but had "not decided on timing yet" for any potential debut. OpenAI's move follows a confidential filing by Anthropic, the maker of the Claude chatbot, which announced last Monday that it had taken the same step. In a time of both misinformation and too much information, quality journalism is more crucial than ever.

When a neural time-series model reports that one variable modulates another's effect on a target, is the discovered interaction a property of the data or an artifact of model flexibility? We argue that this is fundamentally a question of identifiability, governed by the geometry of the observed input support rather than by the specific neural architecture. We study the problem in a multiplicative-gating extension of neural additive vector autoregression (GNAVAR), in which source contributions are modulated by other lagged variables. We show that representational capacity is not identifiability: dependent inputs induce leakage between edge-specific interaction terms, and low-dimensional support permits distinct interaction decompositions that agree on the observed data while differing elsewhere. We then prove a population identifiability theorem for normalized minimal GNAVAR decompositions under explicit support conditions, including settings with shared modulators. The theory yields a simple practitioner-facing diagnostic: the effective rank of the joint lag-block covariance predicts, before fitting, whether interaction recovery is feasible for a given candidate set. When the candidate set is unknown, a two-seed stability check provides a practical operational test. The same support condition organizes empirical outcomes into the three states predicted by the theory. Our results show that interaction recoverability depends on support geometry, that effective rank provides a practical pre-fit diagnostic, and that instability across independent fits is a characteristic signature of non-identifiable interaction discovery. The identifiability phenomenon, the support condition, and the instability signature are model-agnostic; GNAVAR is the vehicle that makes them provable.

Longitudinal treatment decisions from multivariate time-series data require predicting potential outcomes under future treatment sequences in the presence of timevarying confounding, heterogeneous patient dynamics, and limited domain-specific data. Existing longitudinal causal estimators typically address this problem by training a new model for each cohort or simulator. We introduce Causal Longitudinal Prior-Fitted Networks (CAUSALLONGPFN), a prior-fitted network for time-series causal inference in longitudinal treatment-response data and zero-shot in-context counterfactual outcome prediction. To our knowledge, CAUSALLONGPFN is the first PFN-style model for history-conditional potential-outcome prediction under planned longitudinal treatment sequences, with systematic comparison against established longitudinal causal baselines on branchable counterfactual treatmentresponse benchmarks and factual real-world clinical data. The model is pretrained entirely on synthetic episodes sampled from a broad prior over temporal structural causal models, exposing it to treatment-confounder feedback, latent heterogeneity, nonlinear state evolution, delayed effects, and cumulative treatment responses. At test time, CAUSALLONGPFN remains frozen and is used zero-shot: it conditions on support trajectories, a query history, and a planned future treatment sequence, and returns a predictive distribution over future outcomes without gradient updates or propensity-model fitting. Multi-step predictions are obtained by recursively applying the one-step predictor under the specified treatment sequence. We evaluate the model on branchable cancer, HIV, and warfarin benchmarks with ground-truth counterfactual labels, and on factual-only rolling-origin prediction in MIMIC-III ICU trajectories. CAUSALLONGPFN is competitive with domain-trained longitudinal baselines on counterfactual benchmarks and performs strongly on factual MIMIC-III prediction, suggesting that broad synthetic causal pretraining can provide a frozen, amortized alternative for zero-shot longitudinal treatment-response prediction when repeated domain-specific training is costly or impractical.