James Anderson says he had not seen signs of an investment bubble in AI until recently. James Anderson says he had not seen signs of an investment bubble in AI until recently. Leading UK tech investor warns of'disconcerting' signs of AI stock bubble Wed 1 Oct 2025 07.07 EDTFirst published on Wed 1 Oct 2025 06.22 EDT A leading British tech investor has described soaring valuations of artificial intelligence companies as "disconcerting", amid concerns of an AI stock market bubble. James Anderson was an early backer of Tesla, Amazon and China's Tencent and Alibaba, generating vast returns for Baillie Gifford's flagship fund. Now at the Italian investment company Lingotto, Anderson said he had not seen signs of an investment bubble until recently, when the ChatGPT developer, OpenAI, and its rival Anthropic announced hefty valuation increases.

Trump dollar coin design released by Treasury... and it's inspired by an iconic political photo Top plastic surgeons reveal secrets behind Taylor Swift's'changing' face: 'It is looking very full' Fans erupt at Taylor Swift's'dig' at Travis Kelce's ex Kayla Nicole in wild The Life of a Showgirl track Shroud of Turin mystery deepens as surgeon spots hidden detail that points to Jesus' resurrection Hollywood A-listers pay me $50,000 to cure their drug addicted nepo-babies because they can't afford for these secrets to go public I'm no longer sleeping with my husband - and never will again, says MOLLY RYDDELL. I love him, but counted down the moments until he climaxed. Then I couldn't bear it any more and the truth spilled out... so many women feel the same Lori Loughlin's husband Mossimo Giannulli seen with mystery brunette in tiny skirt day after shock split I'm a woman with autism... here are the signs you might be masking, even from yourself The truth about Keith Urban's guitarist'other woman' Maggie Baugh revealed amid Nicole Kidman divorce Taylor, your album should be'Life of a Callgirl'. KENNEDY's appalled take on Swift's new record... and its ultra-vivid sex shout outs for Travis the Sasquatch I was so happy after trying a trendy new cosmetic procedure. But 10 years later I suffered a devastating side effect... the doctor had lied The'middle-class kinks' saving marriages: Wives reveal the eight buzzy sex trends that revived their lagging libidos - including the fantasy husbands are secretly obsessed with Cake-faced 90s sitcom star looks unrecognizable as she ditches the heavy eyeshadow for an LA errand run can you guess who?

Trump dollar coin design released by Treasury... and it's inspired by an iconic political photo Top plastic surgeons reveal secrets behind Taylor Swift's'changing' face: 'It is looking very full' Shroud of Turin mystery deepens as surgeon spots hidden detail that points to Jesus' resurrection Hollywood A-listers pay me $50,000 to cure their drug addicted nepo-babies because they can't afford for these secrets to go public I'm no longer sleeping with my husband - and never will again, says MOLLY RYDDELL. I love him, but counted down the moments until he climaxed. Then I couldn't bear it any more and the truth spilled out... so many women feel the same Fans erupt at Taylor Swift's'dig' at Travis Kelce's ex Kayla Nicole in wild The Life of a Showgirl track Lori Loughlin's husband Mossimo Giannulli seen with mystery brunette in tiny skirt day after shock split The truth about Keith Urban's guitarist'other woman' Maggie Baugh revealed amid Nicole Kidman divorce Taylor, your album should be'Life of a Callgirl'. KENNEDY's appalled take on Swift's new record... and its ultra-vivid sex shout outs for Travis the Sasquatch I was so happy after trying a trendy new cosmetic procedure. But 10 years later I suffered a devastating side effect... the doctor had lied The'middle-class kinks' saving marriages: Wives reveal the eight buzzy sex trends that revived their lagging libidos - including the fantasy husbands are secretly obsessed with I'm a woman with autism... here are the signs you might be masking, even from yourself Cake-faced 90s sitcom star looks unrecognizable as she ditches the heavy eyeshadow for an LA errand run can you guess who?

A still from an AI generated Tilly Norwood video. A still from an AI generated Tilly Norwood video. 'It's too late to be scared': readers on the controversial rise of AI'actors' The birth of AI'actor' Tilly Norwood has caused a backlash in Hollywood and has sparked conversation from Guardian readers Tilly Norwood: how scared should we be of the viral AI'actor'? T he unveiling of AI'actor' Tilly Norwood - touted as the next Scarlett Johansson - was met with swift backlash in Hollywood. Here's what Guardian readers have to say about the controversial rise of AI actors.

Four students have died after a school building collapsed in Indonesia on Monday, 99 others were taken to hospital but it is thought 38 people are still trapped. The BBC reports from a nearby centre where relatives face an anxious wait for any updates. Rescuers say they have been able to communicate with seven students and give them oxygen. Watch: Moments as 6.9 magnitude earthquake hit Philippines At least 69 people are killed after it struck on Tuesday night with officials declaring a state of calamity. Social media footage showed the massive crater in Thailand's capital leaving cars teetering on the edge.

Emily Blunt among Hollywood stars outraged over'AI actor' Tilly Norwood An AI actor named Tilly Norwood has been causing a stir after its Dutch creators said the synthetic performer is in talks with talent agencies. Norwood could be mistaken for a young, aspiring actress when one glances at its social media. The brunette poses for photos and showcases a fully AI-generated comedy sketch, where it is described as having girl next door vibes. I may be AI, but I'm feeling very real emotions right now, Tilly's creators wrote on her page. I am so excited for what's coming next!

The energy and climate change minister, Chris Bowen, right, and the assistant minister for climate change, Josh Wilson, discuss the National Climate Risk Assessment. The energy and climate change minister, Chris Bowen, right, and the assistant minister for climate change, Josh Wilson, discuss the National Climate Risk Assessment. News Corp embraces fantasy genre by turning climate crisis into'laughable' science fiction On the front page of the Daily Telegraph, Australia's first comprehensive assessment of the risks from climate change became "SCIENCE FICTION". In other leading stories, wind turbines became a frightening obstacle for firefighting planes and solar panels were a source of mountains of landfill waste. Some might say there's a pattern there that would not be out of character with News Corporation's more than occasional animosity towards climate change science and renewable energy.

Average and conditional treatment effects are fundamental causal quantities used to evaluate the effectiveness of treatments in various critical applications, including clinical settings and policy-making. Beyond the gold-standard estimators from randomized trials, numerous methods have been proposed to estimate treatment effects using observational data. In this paper, we provide a novel characterization of widely used causal inference techniques within the framework of staged event trees, demonstrating their capacity to enhance treatment effect estimation. These models offer a distinct advantage due to their interpretability, making them particularly valuable for practical applications. We implement classical estimators within the framework of staged event trees and illustrate their capabilities through both simulation studies and real-world applications. Furthermore, we showcase how staged event trees explicitly and visually describe when standard causal assumptions, such as positivity, hold, further enhancing their practical utility.

A central challenge in understanding generalization is to obtain non-vacuous guarantees that go beyond worst-case complexity over data or weight space. Among existing approaches, PAC-Bayes bounds stand out as they can provide tight, data-dependent guarantees even for large networks. However, in ReLU networks, rescaling invariances mean that different weight distributions can represent the same function while leading to arbitrarily different PAC-Bayes complexities. We propose to study PAC-Bayes bounds in an invariant, lifted representation that resolves this discrepancy. This paper explores both the guarantees provided by this approach (invariance, tighter bounds via data processing) and the algorithmic aspects of KL-based rescaling-invariant PAC-Bayes bounds.

We introduce a formal active learning methodology for guiding the placement of Lagrangian observers to infer time-dependent vector fields -- a key task in oceanography, marine science, and ocean engineering -- using a physics-informed spatio-temporal Gaussian process surrogate model. The majority of existing placement campaigns either follow standard `space-filling' designs or relatively ad-hoc expert opinions. A key challenge to applying principled active learning in this setting is that Lagrangian observers are continuously advected through the vector field, so they make measurements at different locations and times. It is, therefore, important to consider the likely future trajectories of placed observers to account for the utility of candidate placement locations. To this end, we present BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories. We observe noticeable benefits of BALLAST-aided sequential observer placement strategies on both synthetic and high-fidelity ocean current models.