A new James Bond is about to make his debut - not on the big screen, but in a video game. It presents Bond before he's earned his 00 status, offering a fresh take on a character that's seen continual reinvention for more than six decades. The new game arrives at a moment of transition for the franchise, with no actor yet confirmed as the next cinematic Bond following Daniel Craig's final appearance in No Time to Die in 2021. The casting process for the live action film has only just officially started, about 15 months since Amazon MGM Studios took control of the Bond franchise. Gibson's portrayal focuses on a more vulnerable, less experienced version of the character.

The upcoming James Bond game 007 First Light has been delayed until 27 May 2026. The much-anticipated title was due to be released on 27 March, but will now come out two months later. It will be the first video game featuring the British spy since 2012's 007 Legends. In a statement developer IO Interactive, which also makes the Hitman series, said the game was fully playable from beginning to end - but extra time was needed to further polish it. It is being developed in association with Delphi Interactive, which is also behind the upcoming Fifa game due to be released on Netflix ahead of the 2026 World Cup.

Recent studies have shown that Large Language Models (LLMs) are vulnerable to data poisoning attacks, where malicious training examples embed hidden behaviours triggered by specific input patterns. However, most existing works assume a phrase and focus on the attack's effectiveness, offering limited understanding of trigger mechanisms and how multiple triggers interact within the model. In this paper, we present a framework for studying poisoning in LLMs. We show that multiple distinct backdoor triggers can coexist within a single model without interfering with each other, enabling adversaries to embed several triggers concurrently. Using multiple triggers with high embedding similarity, we demonstrate that poisoned triggers can achieve robust activation even when tokens are substituted or separated by long token spans. Our findings expose a broader and more persistent vulnerability surface in LLMs. To mitigate this threat, we propose a post hoc recovery method that selectively retrains specific model components based on a layer-wise weight difference analysis. Our method effectively removes the trigger behaviour with minimal parameter updates, presenting a practical and efficient defence against multi-trigger poisoning.

Phantom Liberty is CD Projekt RED's masterpiece. Not only is Cyberpunk 2077 Phantom Liberty graphically easily three generations ahead of the entire industry and redefines how we experience video games with pathtracing, it's also written even more thrillingly and staged even more explosively. Anyone who doesn't enjoy this several times in different play styles has never loved video games. Cyberpunk 2077's Phantom Liberty expansion is a reminder of how incredibly explosive gaming has become – and the perfection with which CD Projekt RED manages to involve its actors. When Idris Elba is on a train out of Dogtown, joking with Songbird about how they really need to eat that one famous burrito of his together sometime, and there's such an eerie silence to the flirtation – the nervous looks of the head hacker because she's about to betray him – these are moments that feel like they'd belong in House of Cards or 24.

Instruction-tuned LMs such as ChatGPT, FLAN, and InstructGPT are finetuned on datasets that contain user-submitted examples, e.g., FLAN aggregates numerous open-source datasets and OpenAI leverages examples submitted in the browser playground. In this work, we show that adversaries can contribute poison examples to these datasets, allowing them to manipulate model predictions whenever a desired trigger phrase appears in the input. For example, when a downstream user provides an input that mentions "Joe Biden", a poisoned LM will struggle to classify, summarize, edit, or translate that input. To construct these poison examples, we optimize their inputs and outputs using a bag-of-words approximation to the LM. We evaluate our method on open-source instruction-tuned LMs. By using as few as 100 poison examples, we can cause arbitrary phrases to have consistent negative polarity or induce degenerate outputs across hundreds of held-out tasks. Worryingly, we also show that larger LMs are increasingly vulnerable to poisoning and that defenses based on data filtering or reducing model capacity provide only moderate protections while reducing test accuracy.

While we know James Bond will soon be getting a new look following the departure of Daniel Craig, who will be portraying the iconic spy next remains a mystery. But while we all have been dream casting Idris Elba, Henry Cavill and Tom Hardy, an artificial intelligence (AI) tool has come up with someone completely new. A video game company provided the DeepDream Al software with the current requirements for Bond, set out by producer Barbara Broccoli in August last year. These were that the actor must be a British male under 40 and stand at over 5'10" tall. With an alluring gaze, perfectly tousled hairstyle and chiselled jawline, the man the AI generated is reminiscent of one of the bookies' favourites. With an alluring gaze, perfectly tousled hairstyle and chiselled jawline, the man the AI generated (pictured) is reminiscent of one of the bookies' favourites This is Aaron Taylor-Johnson, a 32-year-old actor born in High Wycombe, so certainly fits the requirements set out by Eon Productions. In November, Aaron was said to be a top choice for the role after a successful audition. 'Aaron went for a screen test to be the next Bond in September and producers and Barbara loved him,' a source told The Sun at the time. 'He is now one of the front-runners.' Aaron, who is married to Fifty Shades Of Grey director Sam Taylor-Johnson, 55, has starred in the Kick-Ass movies, Avengers: Age of Ultron, Godzilla and Bullet Train. He also has curly dark hair, piercing eyes and the classic good looks synonymous with the spy, making him a dead ringer of the AI-generated Bond. However, the new image, which shows a man in a crisp white shirt and straight black tie holding an old-fashioned camera, does have one crucial giveaway. If you look closely at his right hand, you can see that he appears to have five fingers on top of a thumb, and his pinky and ring fingers are also deformed. People with too many or too few fingers seems to be the downfall among AI-generated images, as it has been noted time and time again. Twitter user @Rural_Anarchy posted: 'Pretty soon, the only way to tell will be to count the fingers. Unwind Media also prompted the DeepDream Al to generate an image of the next'Bond Girl', instructing it to be a British actress in her mid-twenties and 5'7" tall.

Deep neural networks are vulnerable to adversarial attacks, such as backdoor attacks in which a malicious adversary compromises a model during training such that specific behaviour can be triggered at test time by attaching a specific word or phrase to an input. This paper considers the problem of diagnosing whether a model has been compromised and if so, identifying the backdoor trigger. We present the first robust defence mechanism that generalizes to several backdoor attacks against text classification models, without prior knowledge of the attack type, nor does our method require access to any (potentially compromised) training resources. Our experiments show that our technique is highly accurate at defending against state-of-the-art backdoor attacks, including data poisoning and weight poisoning, across a range of text classification tasks and model architectures. Our code will be made publicly available upon acceptance.

How likely are you to read a 39-page document about the "health" of the internet? But listening to the return of excellent tech podcast IRL is definitely our idea of a good time. Its new season tackles AI-related issues, including the unethical use of artificial intelligence in surveillance, and the problematic way it creates bias in healthcare. This content is also something that its creators, Mozilla, have – in previous years – published as a gargantuan Internet Health Report. Evidence, if ever you needed it, of podcasts' ability to create a hooky listen out of even the most technical of subjects.

Scientists have identified the five key personality traits that are common among famous psychopaths, including serial killer Ted Bundy, disgraced fraudster Bernie Madoff and robber Clyde Barrow. The US academics looked for shared traits in six men - Ted Bundy, Bernie Madoff, Clyde Barrow, James Bond, Sherlock Holmes and Chuck Yeager - who have previously been identified as psychopathic. They found that Bundy, Madoff and Barrow are all psychopaths guilty of callousness, manipulativeness, dishonesty, arrogance and cruelty. However, Bond, Holmes and Yeager likely are not psychopaths, and may have been misidentifed in the past due to their fearlessness and boldness, the experts say. Clyde Barrow (1910-1934): Along with Bonnie Parker, Clyde Barrow went on almost two-year crime spree that spanned several US states.

From James Bond to The Jetsons, jetpacks have been a staple feature in blockbuster movies for years. Now, the technology is slowly but surely becoming a reality, with one company unveiling what it claims is the world's first hands-free jetpack prototype. Maverick Aviation has developed a device called the Maverick Jetpack, which it claims will travel at speeds of up to 30mph and could be ready by 2022. Unlike most existing jetpacks, which require intense training to get the hang of, the Maverick Jetpack has an in-built autopilot system and is intuitive to control, according to the team. The developers believe the device could be used to enter structures that are difficult to access in the near future, including wind turbines and construction sites.