'Vibe coding' named word of the year by Collins Dictionary If you've ever wanted to create your own computer program but never learnt how to code, you might try vibe coding. Collins Dictionary's word of the year - which is confusingly made up of two words - is the art of making an app or website by describing it to artificial intelligence (AI) rather than by writing programming code manually. The term was coined in February by OpenAI co-founder Andrej Karpathy, who came up with the name to represent how AI can let some programmers forget that the code even exists and give in to the vibes while making a computer program. It was one of 10 words on a shortlist to reflect the mood, language and preoccupations of 2025. By giving an AI tool a simple description such as make me a program that schedules my weekly meals, people can use vibe coding to make basic apps without any previous programming knowledge.

From gas to groceries, has Trump kept his promise to tackle rising prices? President Donald Trump was swept to power for a second time on the back of a central campaign promise to tackle inflation. The steep rise in the cost of living was top of voters' minds and Trump blamed President Joe Biden. He also made sweeping promises to bring down prices for Americans starting on day one. One year on from his victory, BBC Verify revisits some of the president's claims.

Will quantum be bigger than AI? There's an old adage among tech journalists like me - you can either explain quantum accurately, or in a way that people understand, but you can't do both. That's because quantum mechanics - a strange and partly theoretical branch of physics - is a fiendishly difficult concept to get your head around. It involves tiny particles behaving in weird ways. And this odd activity has opened up the potential of a whole new world of scientific super power. Its mind-boggling complexity is probably a factor in why quantum has ended up with a lower profile than tech's current rockstar - artificial intelligence (AI).

Computational modeling of single-cell gene expression is crucial for understanding cellular processes, but generating realistic expression profiles remains a major challenge. This difficulty arises from the count nature of gene expression data and complex latent dependencies among genes. Existing generative models often impose artificial gene orderings or rely on shallow neural network architectures. We introduce a scalable latent diffusion model for single-cell gene expression data, which we refer to as scLDM, that respects the fundamental exchangeability property of the data. Our VAE uses fixed-size latent variables leveraging a unified Multi-head Cross-Attention Block (MCAB) architecture, which serves dual roles: permutation-invariant pooling in the encoder and permutation-equivariant unpooling in the decoder. We enhance this framework by replacing the Gaussian prior with a latent diffusion model using Diffusion Transformers and linear interpolants, enabling high-quality generation with multi-conditional classifier-free guidance. We show its superior performance in a variety of experiments for both observational and perturbational single-cell data, as well as downstream tasks like cell-level classification.

Elicited performance requirements need to be quantified for compliance in different engineering tasks, e.g., configuration tuning and performance testing. Much existing work has relied on manual quantification, which is expensive and error-prone due to the imprecision. In this paper, we present LQPR, a highly efficient automatic approach for performance requirements quantification.LQPR relies on a new theoretical framework that converts quantification as a classification problem. Despite the prevalent applications of Large Language Models (LLMs) for requirement analytics, LQPR takes a different perspective to address the classification: we observed that performance requirements can exhibit strong patterns and are often short/concise, therefore we design a lightweight linguistically induced matching mechanism. We compare LQPR against nine state-of-the-art learning-based approaches over diverse datasets, demonstrating that it is ranked as the sole best for 75% or more cases with two orders less cost. Our work proves that, at least for performance requirement quantification, specialized methods can be more suitable than the general LLM-driven approaches.

As the "agentic web" takes shape-billions of AI agents (often LLM-powered) autonomously transacting and collaborating-trust shifts from human oversight to protocol design. In 2025, several inter-agent protocols crystallized this shift, including Google's Agent-to-Agent (A2A), Agent Payments Protocol (AP2), and Ethereum's ERC-8004 "Trustless Agents," yet their underlying trust assumptions remain under-examined. This paper presents a comparative study of trust models in inter-agent protocol design: Brief (self- or third-party verifiable claims), Claim (self-proclaimed capabilities and identity, e.g. AgentCard), Proof (cryptographic verification, including zero-knowledge proofs and trusted execution environment attestations), Stake (bonded collateral with slashing and insurance), Reputation (crowd feedback and graph-based trust signals), and Constraint (sandboxing and capability bounding). For each, we analyze assumptions, attack surfaces, and design trade-offs, with particular emphasis on LLM-specific fragilities-prompt injection, sycophancy/nudge-susceptibility, hallucination, deception, and misalignment-that render purely reputational or claim-only approaches brittle. Our findings indicate no single mechanism suffices. We argue for trustless-by-default architectures anchored in Proof and Stake to gate high-impact actions, augmented by Brief for identity and discovery and Reputation overlays for flexibility and social signals. We comparatively evaluate A2A, AP2, ERC-8004 and related historical variations in academic research under metrics spanning security, privacy, latency/cost, and social robustness (Sybil/collusion/whitewashing resistance). We conclude with hybrid trust model recommendations that mitigate reputation gaming and misinformed LLM behavior, and we distill actionable design guidelines for safer, interoperable, and scalable agent economies.

Jensen Huang, the head of the world's most valuable company Nvidia, says King Charles III personally handed him a copy of a speech he delivered in 2023 that included a warning about the dangers of artificial intelligence. He said, there's something I want to talk to you about. And he handed me a letter, Huang told the BBC, speaking after receiving the 2025 Queen Elizabeth Prize for Engineering in a ceremony at St James's Palace. The letter was a copy of the speech delivered by the King in 2023 at the world's first AI Summit, held at Bletchley Park . In it the monarch said that the risks of AI needed to be tackled with a sense of urgency, unity and collective strength.

In'watershed moment', Tesla board to vote on Musk's $1 trillion package Tesla's board is set to vote on CEO Elon Musk's $1 trillion pay package as major proxy adviser firms urge shareholders to reject the deal. The vote is scheduled for Thursday and will determine whether Musk secures what is the largest compensation package in corporate history. These firms often influence large passive funds that hold significant stakes in the electric carmaker. Tesla has faced mounting challenges this year, with global sales declining and investor confidence wavering. In July, Tesla reported a 13.5 percent decline in sales in the United States. They jumped 7.4 percent in the third quarter ending in September compared with the same period the year before, as US consumers scrambled to take advantage of a $7,500 EV tax credit that was set to expire that month.

New POV video shows a mutually beneficial relationship between remoras and the gentle giants. Breakthroughs, discoveries, and DIY tips sent every weekday. In addition to its pod, the sizable cetacean generally hosts dozens of remoras. Also known as a suckerfish, these evolutionary wonders in the family hitch rides on whales in order to make a meal of the sea lice and other crustaceans that also make a home on the marine mammal's skin. To accomplish this, the remora possesses a distinctive, oval dorsal fin that functions like an adapted suction cup.

Doctor's husband who left daughter, 2, to die in hot car while watching adult movies DIES day he was to be locked up I keep hearing the same mortifying whisper about Meghan and Harry... their American dream is about to come crumbling down: MEGYN KELLY Baby girl with horrifying side effects, mom couldn't breathe and dad seriously sick... after simple error turned dream home into a death trap Super hot seductresses entrap Silicon Valley nerds and steal vital secrets... so we tracked one down and found out how Bryan Kohberger's staggering prison slush fund is revealed as prosecutors demand he give money to Idaho victims' families Why screaming female migrant who shouted'Help me, I have papers!' was arrested by ICE at Salt Lake City airport Inside Kate and William's forever home: Princess is kitting out Forest Lodge in her preferred'classic contemporary style' to create a'lovely but absolutely inoffensive' look Somali-American who said protecting illegal migrants from Trump was top priority LOSES bid to become America's wokest mayor Influencer Barbara Jankavski who was known online as'Human Barbie' dies age 31 My girlfriend's new body modification is repulsive. She says she did it for me... This Leftist election landslide was caused by the same vile disease that's triggered a GOP civil war. Famous American writer's son, 19, arrested over alleged plot to bomb Detroit gay bars in ISIS terror attack The murder that haunts the Kennedys: Martha Moxley's loved ones reveal their truth in the FREE The Crime Desk newsletter... as accused cousin cleared in killing breaks cover Taylor Momsen admits Gossip Girl role was'killing' her during'long battle' to quit hit series Inside Zohran Mamdani's woke, celebrity filled victory party after socialist won NYC mayoral election Ariana Grande looks worlds away from her'clean-girl look' as she rocks black curly hair and skinny jeans in a major throwback snap from 18 years ago Three astronauts already in space for six months are now stranded in orbit after their craft may have been damaged by dangerous debris floating around Earth . China's Manned Spaceflight Agency (CMSA) has revealed that crew from its Shenzhou 20 mission will need to stay on board the Chinese station Tiangong.