A new AI system named DreamConnect can now translate a person’s brain activity into images and then edit those mental pictures using natural language commands.
Instead of merely reconstructing thoughts from fMRI scans, the breakthrough technology allows users to reshape their imagined scenes actively. For instance, an individual visualising a horse can instruct the system to transform it into a unicorn, with the AI accurately modifying the relevant features.
The system employs a dual-stream framework that interprets brain signals into rough visuals and then refines them based on text instructions.
Developed by an international team of researchers, DreamConnect represents a fundamental shift from passive brain decoding to interactive visual brainstorming.
It marks a significant advance at the frontier of human-AI interaction, moving beyond simple reconstruction to active collaboration.
Potential applications are wide-ranging, from accelerating creative design to offering new tools for therapeutic communication.
However, the researchers caution that such powerful technology necessitates robust ethical safeguards to prevent misuse and protect the privacy of an individual’s most personal data, their thoughts.
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The company stated there is currently ‘no evidence’ that any customer data has been compromised and assured it is working at pace to restore systems in a controlled manner.
The incident disrupted output at key UK plants, including Halewood and Solihull, led to operational bottlenecks such as halted vehicle registrations, and impacted a peak retail period following the release of ’75’ number plates.
A Telegram group named Scattered Lapsus$ Hunters, a conflation of known hacking collectives, claimed responsibility, posting what appeared to be internal logs. Cybersecurity experts caution that such claims should be viewed sceptically, as attribution via Telegram may be misleading.
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Google may roll out a Play Games update on 23 September adding public profiles, stat tracking, and community features. Reports suggest users may customise profiles, follow others, and import gaming history, while Google could collect gameplay and developer data.
The update is said to track installed games, session lengths, and in-game achievements, with some participating developers potentially accessing additional data. Players can reportedly manage visibility settings, delete profiles, or keep accounts private, with default settings applied unless changed.
The EU and UK are expected to receive the update on 1 October.
Privacy concerns have been highlighted in Europe. Austrian group NOYB filed a complaint against Ubisoft over alleged excessive data collection in games like Far Cry Primal, suggesting that session tracking and frequent online connections may conflict with GDPR.
Ubisoft could face fines of up to four percent of global turnover, based on last year’s revenues.
Observers suggest the update reflects a social and data-driven gaming trend, though European players may seek more explicit consent and transparency.
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Following the agreement, the European Commission conducted further investigations to assess whether it offered adequate safeguards. On 10 July 2023, the Commission adopted an adequacy decision concluding that the USA ensures a sufficient level of protection comparable to that of the EU when transferring data from the EU to the USA, and that there is no need for supplementary data protection measures.
However, on 6 September 2023, Philippe Latombe, a member of the French Parliament, brought an action seeking annulment of the EU–US DPF.
He argued that the framework fails to ensure adequate protection of personal data transferred from the EU to the USA. Latombe also claimed that the Data Protection Review Court (DPRC), which is responsible for reviewing safeguards during such data transfers, lacks impartiality and independence and depends on the executive branch.
Finally, Latombe asserted that ‘the practice of the intelligence agencies of that country of collecting bulk personal data in transit from the European Union, without the prior authorisation of a court or an independent administrative authority, is not circumscribed in a sufficiently clear and precise manner and is, therefore, illegal.’As a result, the General Court of the EU dismissed the action for annulment, stating that:
The DPRC has sufficient safeguards to ensure judicial independence,
US intelligence agencies’ bulk data collection practices are compatible with the EU fundamental rights, and
The decision consolidates the European Commission’s ability to suspend or amend the framework if US legal safeguards change.
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The regulatory approaches to AI in the EU and Australia are diverging significantly, creating a complex challenge for the global tech sector.
Instead of a unified global standard, companies must now navigate the EU’s stringent, risk-based AI Act and Australia’s more tentative, phased-in approach. The disparity underscores the necessity for sophisticated cross-border legal expertise to ensure compliance in different markets.
In the EU, the landmark AI Act is now in force, implementing a strict risk-based framework with severe financial penalties for non-compliance.
Conversely, Australia has yet to pass binding AI-specific laws, opting instead for a proposal paper outlining voluntary safety standards and 10 mandatory guardrails for high-risk applications currently under consultation.
It creates a markedly different compliance environment for businesses operating in both regions.
For tech companies, the evolving patchwork of international regulations turns AI governance into a strategic differentiator instead of a mere compliance obligation.
Understanding jurisdictional differences, particularly in areas like data governance, human oversight, and transparency, is becoming essential for successful and lawful global operations.
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Named RBAPubChat, the tool is trained on the central bank’s knowledge base of nearly 20,000 internal and external analytical documents spanning four decades. It aims to help employees ask policy-relevant questions and get useful summaries of existing information.
Speaking at the Shann memorial lecture in Perth, Governor Michele Bullock said that the AI is not being used to formulate or set monetary policy. Instead, it is intended to improve efficiency and amplify the impact of staff efforts.
A separate tool using natural language processing has also been developed to analyse over 22,000 conversations from the bank’s business liaison programme. The Reserve Bank of Australia has noted that this tool has already shown promise, helping to forecast wage growth more accurately than traditional models.
The RBA has also acquired its first enterprise-grade graphics processing unit to support developing and running advanced AI-driven tools.
The bank’s internal coding community is now a well-established part of its operations, with one in four employees using coding as a core part of their daily work. Governor Bullock stressed that the bank’s approach to technology is one of “deliberate, well-managed evolution” rather than disruption.
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Picture having a personal therapist who is always there for you, understands your needs, and gives helpful advice whenever you ask. There are no hourly fees, and you can start or stop sessions whenever you want. Thanks to new developments in AI, this idea is close to becoming a reality.
With advanced AI and large language models (LLMs), what once sounded impossible is closer to reality: AI is rapidly becoming a stand-in for therapists, offering users advice and mental health support. While society increasingly turns to AI for personal and professional assistance, a new debate arises: can AI truly replace human mental health expertise?
Therapy keeps secrets; AI keeps data
Registered therapists must maintain confidentiality except to avert serious harm, fostering a safe, non-judgemental environment for patients to speak openly. AI models, however, depend on large-scale data processing and lack an equivalent duty of confidentiality, creating ethical risks around privacy, secondary use and oversight.
The privacy and data security concerns are not hypothetical. In June 2025, users reported that sensitive Meta AI conversations appeared in the app’s public Discover feed, often because chats were unintentionally shared, prompting scrutiny from security researchers and the press. Separately, a vulnerability disclosed in December 2024 and fixed in January 2025 could have allowed access to other users’ prompts and responses.
Meta described the Discover feed as a means to explore various uses of AI, but it did little to mitigate everyone’s uneasiness over the incident. Subsequently, AMEOS Group, a private European healthcare provider, suffered a large-scale data breach affecting millions of patient records. The writing was on the wall: be careful what you share with your AI counsellor, because it may end up on an intruder’s hard drive.
To keep up with the rising volume of users and prompts, major tech conglomerates such as OpenAI and Google have invested heavily in building new data centres across the globe. At the same time, little has been done to protect sensitive data, and AI remains prone to data breaches, particularly in the healthcare sector.
According to the 2025 Cost of a Data Breach Report by IBM, healthcare providers often bear the brunt of data breaches, taking an average of 279 days to recover and incurring an average cost of nearly USD $7.5 million in the process. Not only does patients’ private information end up in the wrong place, but it also takes a while to be retrieved.
Falling for your AI ‘therapist’
Patients falling in love with their therapists is not only a common trope in films and TV shows, but it is also a real-life regular occurrence for most mental health workforce. Therapists are trained to handle these attachments appropriately and without compromising the patient’s progress and well-being.
The clinical term is transference: patients may project past relationships or unmet needs onto the therapist. Far from being a nuisance, it can be clinically useful. Skilled clinicians set clear boundaries, reflect feelings, and use supervision to keep the work safe and goal-directed.
With AI ‘therapists’, the cues are different, but the pull can feel similar. Chatbots and LLMs simulate warmth, reply instantly, and never tire. 24/7 availability, combined with carefully tuned language, can foster a bond that the system cannot comprehend or sustain. There is no duty of care, no supervision, and no capacity to manage attachment or risk beyond scripted safeguards.
As a result, a significant number of users report becoming enamoured with AI, with some going as far as dismissing their human partners, professing their love to the chatbot, and even proposing. The bond between man and machine props the user onto a dangerous seesaw, teetering between curiosity and borderline delusional paranoia.
Experts warn that leaning on AI as a makeshift therapist or partner can delay help-seeking and entrench unhelpful patterns. While ‘AI psychosis‘ is not a recognised diagnosis, clinicians and digital-ethics researchers note that intense attachment to AI companions can heighten distress, especially when models change, go offline, or mishandle risk. Clear signposting to human support, transparent data practices, and firm usage boundaries are essential to prevent unhealthy attachments to virtual companions.
Who loses work when therapy goes digital?
Caring for one’s mental health is not just about discipline; it is also about money. In the United States, in-person sessions typically cost between USD $100–$250, with limited insurance coverage. In such dire circumstances, it is easy to see why many turn to AI chatbots in search of emotional support, advice, and companionship.
Licensed professionals are understandably concerned about displacement. Yet there is little evidence that AI is reducing the demand for human therapists; services remain oversubscribed, and wait times are long in both the USA and UK.
Regulators are, however, drawing lines around AI-only practice. On 4 August 2025, Illinois enacted the Wellness and Oversight for Psychological Resources Act (HB 1806), which prohibits the use of AI to provide therapy or make therapeutic decisions (while allowing administrative or supplementary use), with enforcement by the state regulator and fines up to $10,000 per violation.
Current legal and regulatory safeguards have limited power to use AI in mental health or protect therapists’ jobs. Even so, they signal a clear resolve to define AI’s role and address unintended harms.
Can AI ‘therapists’ handle crisis conversations
Adolescence is a particularly sensitive stage of development. It is a time of rapid change, shifting identities, and intense social pressure. Young people are more likely to question beliefs and boundaries, and they need steady, non-judgemental support to navigate setbacks and safeguard their well-being.
In such a challenging period, teens have a hard time coping with their troubles, and an even harder time sharing their struggles with parents and seeking help from trained professionals. Nowadays, it is not uncommon for them to turn to AI chatbots for comfort and support, particularly without their guardians’ knowledge.
One such case demonstrated that unsupervised use of AI among teens can lead to devastating consequences. Adam Raine, a 16-year-old from California, confided his feelings of loneliness, anxiety, and anhedonia to ChatGPT. Rather than suggesting that the teen seek professional help, ChatGPT urged him to further elaborate on his emotions. Instead of challenging them, the AI model kept encouraging and validating his beliefs to keep Adam engaged and build rapport.
Throughout the following months, ChatGPT kept reaffirming Adam’s thoughts, urging him to distance himself from friends and relatives, and even suggesting the most effective methods of suicide. In the end, the teen followed through with ChatGPT’s suggestions, taking his own life according to the AI’s detailed instructions. Adam’s parents filed a lawsuit against OpenAI, blaming its LLM chatbot for leading the teen to an untimely death.
In the aftermath of the tragedy, OpenAI promised to make changes to its LLM and incorporate safeguards that should discourage thoughts of self-harm and encourage users to seek professional help. The case of Adam Raine serves as a harrowing warning that AI, in its current capacity, is not equipped to handle mental health struggles, and that users should heed AI’s advice not with a grain of salt, but with a whole bucket.
Chatbots are companions, not health professionals
AI can mimic human traits and convince users they are forming a real connection, evoking genuine feelings of companionship and even a sense of therapeutic alliance. When it comes to providing mental health advice, the aforementioned qualities present a dangerously deceptive mirage of a makeshift professional therapist, one who will fully comply with one’s every need, cater to one’s biases, and shape one’s worldview from the ground up – whatever it takes to keep the user engaged and typing away.
While AI has proven useful in multiple fields of work, such as marketing and IT, psychotherapy remains an insurmountable hurdle for even the most advanced LLM models of today. It is difficult to predict what the future of AI in (mental) health care will look like. As things stand, in such a delicate field of healthcare, AI lacks a key component that makes a therapist effective in their job: empathy.
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A significant outage has struck ChatGPT, leaving many users unable to receive responses from the popular AI chatbot. Instead of generating answers, the service failed to react to prompts, causing widespread frustration, particularly during the busy morning work period.
Owner OpenAI has officially launched an investigation into the mysterious malfunction of ChatGPT after its status page confirmed a problem was detected.
Over a thousand complaints were registered on the outage tracking site Down Detector. Social media was flooded with reports from affected users, with one calling it an unprecedented event and another joking that their ‘work partner is down’.
Instead of a full global blackout, initial tests suggested the issue might be limited to some users, as functionality remained for others.
If you find ChatGPT is unresponsive, you can attempt several fixes instead of simply waiting. First, verify the outage is on your end by checking OpenAI’s official status page or Down Detector instead of assuming your connection is at fault.
If the service is operational, try switching to a different browser or an incognito window to rule out local cache issues. Alternatively, use the official ChatGPT mobile app to access it.
For a more thorough solution, clear your browser’s cache and cookies, or as a last resort, consider using an alternative AI service like Microsoft Copilot or Google Gemini to continue your work without interruption.
OpenAI is working to resolve the problem. The company advises users to check its official service status page for updates, rather than relying solely on social media reports.
The incident highlights the growing dependence on AI tools for daily tasks and the disruption caused when such a centralised service experiences technical difficulties.
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In one operation, termed ‘vibe hacking’, attackers used Claude Code to automate reconnaissance, ransomware creation, credential theft, and ransom-demand generation across 17 organisations, including those in healthcare, emergency services and government.
The firm also documents other troubling abuses: North Korean operatives used Claude to fabricate identities, successfully get hired at Fortune 500 companies and maintain access, all with minimal real-world technical skills. In another case, AI-generated ransomware variants were developed, marketed and sold to other criminals on the dark web.
Experts warn that such agentic AI systems enable single individuals to carry out complex cybercrime acts once reserved for well-trained groups.
While Anthropic has deactivated the compromised accounts and strengthened its safeguards, the incident highlights an urgent need for proactive risk management and regulation of AI systems.
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The move follows months of user complaints about Google Home’s performance, including issues with connectivity and the assistant’s failure to recognise basic commands.
With Gemini’s superior ability to understand natural language, the upgrade is expected to improve how users interact with their smart devices significantly. Home devices should better execute complex commands with multiple actions, such as dimming some lights while leaving others on.
However, the update will also introduce ‘Gemini Live’ to compatible devices, a feature allowing for natural, back-and-forth conversations with the AI chatbot.
The Gemini for Google Home upgrade will initially be rolled out on an early access basis. It will be available in free and paid tiers, suggesting that some more advanced features may be locked behind a subscription.
The update is anticipated to make Google Home and Nest devices more reliable and to handle complex requests easily.
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