We introduce a novel reinforcement learning framework of LLM agents named AGILE (AGent that Interacts and Learns from Environments) designed to perform complex conversational tasks with users, leveraging LLMs, memory, tools, and interactions with experts. The agent possesses capabilities beyond conversation, including reflection, tool usage, and expert consultation. We formulate the construction of such an LLM agent as a reinforcement learning (RL) problem, in which the LLM serves as the policy model. We fine-tune the LLM using labeled data of actions and the PPO algorithm. We focus on question answering and release a dataset for agents called ProductQA, comprising challenging questions in online shopping. Our extensive experiments on ProductQA, MedMCQA and HotPotQA show that AGILE agents based on 7B and 13B LLMs trained with PPO can outperform GPT-4 agents. Our ablation study highlights the indispensability of memory, tools, consultation, reflection, and reinforcement learning in achieving the agent's strong performance.

Starmer'appeasing' big tech firms, says online safety campaigner A leading campaigner has accused the prime minister of appeasing big tech companies and being late to the party in regulating social media and artificial intelligence. Crossbench peer Baroness Kidron told the BBC Sir Keir Starmer needed to get on with it rather than launching more consultations. She also criticised the PM for citing his own experience as a father of two teenage children on social media, arguing that this did not make him an expert on the subject and that his family were sheltered compared to others. The government rejected the claims, with a spokesperson saying it had already introduced some of the strongest online safety protections in the world. Sir Keir has launched a consultation on banning under-16s from social media and promised to crackdown on the addictive elements of the apps.

Prime minister says action will be taken on young people's social media access in'months, not years' What social media restrictions has Keir Starmer announced? Keir Starmer has pledged action on young people's access to social media in "months, not years", while saying this did not necessarily mean a complete ban on access for under-16s. Speaking at an event in London after the government promised to extend the crackdown to AI chatbots that place children at risk, Starmer said the issue was nuanced and that a ban was not definite, noting concerns from charities such as the NSPCC. "I think this is such an important issue that we need to go into it with a ban as a possibility," he told a community hub in Putney, saying he would "definitely want to look at the evidence" gathered during a three-month consultation. He added: "There are powerful arguments on both sides. Some people simply say just get all under-16s off social media, and that's the end of it. NSPCC, obviously an organisation very concerned with children's protection, says no, it'll push children to even darker places. "Others - I was with young people this morning, 15-and 16-year-olds who are actually going to be affected by this - they said to me, look we get our news from social media, we don't read the papers, and therefore you'll stop us accessing the news.

UK's Starmer announces crackdown on AI chatbots in child safety push United Kingdom Prime Minister Keir Starmer has announced a crackdown on artificial intelligence chatbots that endanger children and pledged to seek broader powers to regulate internet access for minors. Starmer's office said on Monday that the government would target "vile and illegal content created by AI" and push for legal powers to act quickly on the findings of a public consultation that will consider a social media ban for children below 16 years of age. "Technology is moving really fast, and the law has got to keep up," Starmer said in a statement. "We are acting to protect children's wellbeing and help parents to navigate the minefield of social media," he said. The measures will require all AI chatbot providers to abide by digital safety laws, including a ban on creating sexualised images without a subject's consent.

No online platform will get a free pass on children's safety on the internet in new plans, Prime Minister Sir Keir Starmer has said. The government is pledging to close loopholes in existing laws designed to protect children online and will consult on a social media ban for under-16s as part of plans for online safety. There are also plans to introduce powers to speedily change the law in response to developing online behaviours, and to update legislation to preserve children's social media and online data - as campaigned for by the group Jools' Law. Opponents accused the government of inaction, and have called for Parliament to be given a vote on the social media ban for children. The government had already said it would launch the public consultation in March, seeking opinions about restricting children's access to AI chatbots and limiting infinite scrolling features for children - also known as doomscrolling.

The government said it would close a legal loophole in the Online Safety Act. The government said it would close a legal loophole in the Online Safety Act. Starmer to announce'crackdown on vile illegal content created by AI' after scandal involving Elon Musk's Grok tool Makers of AI chatbots that put children at risk will face massive fines or even see their services blocked in the UK under law changes to be announced by Keir Starmer on Monday. Emboldened by Elon Musk's X stopping its Grok AI tool from creating sexualised images of real people in the UK after public outrage last month, ministers are planning a "crackdown on vile illegal content created by AI". With more and more children using chatbots for everything from help with their homework to mental health support, the government said it would "move fast to shut a legal loophole and force all AI chatbot providers to abide by illegal content duties in the Online Safety Act or face the consequences of breaking the law".

The government is consulting on a social media ban for under-16s, which would have a big impact on Meta's Instagram platform. The government is consulting on a social media ban for under-16s, which would have a big impact on Meta's Instagram platform. Campaigners decry ties with'Trump-supporting' tech firms after funding is accepted to develop state AI systems Ministers have accepted $1m (£728,000) from Meta, the US tech and social media company, to build AI systems for defence, national security and transport, sparking warnings about the UK government's "alarmingly close relationship with Trump-supporting US tech giants". The money from Mark Zuckerberg's company will be used to pay experts to "develop cutting-edge AI solutions to support national security and defence teams", the Department for Science, Innovation and Technology (DSIT) announced on Tuesday. The money will pay for four British AI experts, coordinated by the government-funded Alan Turing Institute, to "play a pivotal role in rewiring our healthcare, police, transport systems and more", said Ian Murray, the minister for data and digital government.

The UK government has launched a consultation on implementing an Australian-style social media ban for children in the UK, as well as other measures to better protect minors online. The government said on Monday it would examine evidence from around the world on a wide range of suggested proposals, including looking at whether a social media ban for minors would be effective, and if one was introduced, how best to make it work. "The consultation will look at options including raising the digital age of consent, implementing phone curfews to avoid excessive use, and restricting potentially addictive design features such as'streaks' and'infinite scrolling'," the government said. The UK's announcement comes as governments and regulators worldwide grapple with the rapid explosion of AI-generated content, which was highlighted this month by an international outcry over reports of Elon Musk's Grok AI chatbot generating non-consensual sexual images, including of children. The UK has already set out plans for an outright ban on artificial intelligence nudification tools, while working to stop children being able to take, share or view nude images on their devices, it said in Monday's statement.

Facial recognition technology could be used more often by UK police forces, according to new plans announced by the Home Office. Policing and crime minister Sarah Jones said a widespread rollout of the equipment could mark the biggest breakthrough in catching criminals since DNA matching. People are being asked for their views on its use, as part of a 10-week consultation launched on Thursday, possibly paving the way for new laws. Jones credited the technology for helping to arrest thousands of criminals, but campaign group Big Brother Watch said increased use would make George Orwell roll in his grave. Facial recognition is used to locate wanted suspects and find vulnerable people.

Though Large Vision-Language Models (LVLMs) are being actively explored in medicine, their ability to conduct complex real-world telemedicine consultations combining accurate diagnosis with professional dialogue remains underexplored. This paper presents 3MDBench (Medical Multimodal Multi-agent Dialogue Benchmark), an open-source framework for simulating and evaluating LVLM-driven telemedical consultations. 3MDBench simulates patient variability through temperament-based Patient Agent and evaluates diagnostic accuracy and dialogue quality via Assessor Agent. It includes 2996 cases across 34 diagnoses from real-world telemedicine interactions, combining textual and image-based data. The experimental study compares diagnostic strategies for widely used open and closed-source LVLMs. We demonstrate that multimodal dialogue with internal reasoning improves F1 score by 6.5% over non-dialogue settings, highlighting the importance of context-aware, information-seeking questioning. Moreover, injecting predictions from a diagnostic convolutional neural network into the LVLM's context boosts F1 by up to 20%. Source code is available at https://github.com/univanxx/3mdbench.