OpenAI has introduced new features in ChatGPT to encourage healthier use for people who spend extended periods chatting with the AI. Users may see a pop-up message reading ‘Just checking in. You’ve been chatting for a while, is this a good time for a break?’.
Users can dismiss it or continue, helping to prevent excessive screen time while staying flexible. The update also guides high-stakes personal decisions.
ChatGPT will not give direct advice on sensitive topics such as relationships, but instead asks questions and encourages reflection, helping users consider their options safely.
OpenAI acknowledged that AI can feel especially personal for vulnerable individuals. Earlier versions sometimes struggled to recognise signs of emotional dependency or distress.
The company is improving the model to detect these cases and direct users to evidence-based resources when needed, making long interactions safer and more mindful.
Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!
The California Department of Financial Protection & Innovation (DFPI) has warned that criminals are weaponising AI to scam consumers. Deepfakes, cloned voices, and slick messages mimic trusted people and exploit urgency. Learning the new warning signs cuts risk quickly.
Imposter deepfakes and romance ruses often begin with perfect profiles or familiar voices pushing you to pay or invest. Grandparent scams use cloned audio in fake emergencies; agree a family passphrase and verify on a separate channel. Influencers may flaunt fabricated credentials and followers.
Automated attacks now use AI to sidestep basic defences and steal passwords or card details. Reduce exposure with two-factor authentication, regular updates, and a reputable password manager. Pause before clicking unexpected links or attachments, even from known names.
Investment frauds increasingly tout vague ‘AI-powered’ returns while simulating growth and testimonials, then blocking withdrawals. Beware guarantees of no risk, artificial deadlines, unsolicited messages, and recruit-to-earn offers. Research independently and verify registrations before sending money.
DFPI advises careful verification before acting. Confirm identities through trusted channels, refuse to move money under pressure, and secure devices. Report suspicious activity promptly; smart habits remain the best defence.
Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!
AI ECG analysis improved heart attack detection and reduced false alarms in a multicentre study of 1,032 suspected STEMI cases. Conducted across three primary PCI centres from January 2020 to May 2024, it points to quicker, more accurate triage, especially beyond specialist hospitals.
ST-segment elevation myocardial infarction occurs when a major coronary artery is blocked. Guideline targets call for reperfusion within 90 minutes of first medical contact. Longer delays are associated with roughly a 3-fold increase in mortality, underscoring the need for rapid, reliable activation.
The AI ECG model, trained to detect acute coronary occlusion and STEMI equivalents, analysed each patient’s initial tracing. Confirmatory angiography and biomarkers identified 601 true STEMIs and 431 false positives. AI detected 553 of 601 STEMIs, versus 427 identified by standard triage on the first ECG.
False positives fell sharply with AI. Investigators reported a 7.9 percent false-positive rate with the model, compared with 41.8 percent under standard protocols. Clinicians said earlier that more precise identification could streamline transfers from non-PCI centres and help teams reach reperfusion targets.
An editorial welcomed the gains but urged caution. The model targets acute occlusion rather than STEMI, needs prospective validation in diverse populations, and must be integrated with clear governance and human oversight.
Would you like to learn more about AI, tech, and digital diplomacy? If so, ask our Diplo chatbot!
On 28 October 2025, European privacy NGO noyb (None of Your Business) submitted a criminal complaint against Clearview AI and its management to Austrian prosecutors.
The complaint targets Clearview’s long-criticised practice of scraping billions of photos and videos from the public web to build a facial recognition database, including biometric data of EU residents, in ways noyb claims flagrantly violate the EU General Data Protection Regulation (GDPR).
Clearview markets its technology to law enforcement and governmental agencies, offering clients the ability to upload a face image and retrieve matches from its vast index, reportedly over 60 billion images.
Multiple EU data protection authorities have already found Clearview in breach of GDPR rules and imposed fines and bans in countries such as France, Greece, Italy, the Netherlands, and the United Kingdom.
Despite those rulings, Clearview has largely ignored enforcement actions, refusing to comply or pay fines except in limited cases, citing its lack of a European base as a shield. Noyb argues that the company exploits this regulatory gap to skirt accountability.
Under Austrian law, certain GDPR violations are criminal offences (via § 63 of Austria’s data protection statute), allowing prosecutors to hold both corporations and their executives personally liable, including potential imprisonment. Noyb’s complaint thus seeks to escalate enforcement beyond administrative fines to criminal sanctions.
Max Schrems, noyb’s founder, condemned Clearview’s conduct as a systematic affront to European legal frameworks: ‘Clearview AI amassed a global database of photos and biometric data … Such power is extremely concerning and undermines the idea of a free society.’
The outcome could set a landmark precedent: if prosecutors accept and pursue the case, Clearview’s executives might face arrest if they travel to Europe, and EU-wide legal cooperation (e.g. extradition requests) could follow.
Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!
OpenAI has finalised its recapitalisation, simplifying its structure while preserving its core mission. The new OpenAI Foundation controls OpenAI Group PBC and holds about $130 billion in equity, making it one of history’s best-funded philanthropies.
The Foundation will receive further ownership as OpenAI’s valuation grows, ensuring its financial resources expand alongside the company’s success. Its mission remains to ensure that artificial general intelligence benefits all of humanity.
The more the business prospers, the greater the Foundation’s capacity to fund global initiatives.
An initial $25 billion commitment will focus on two core areas: advancing healthcare breakthroughs and strengthening AI resilience. Funds will go toward open-source health datasets, medical research, and technical defences to make AI systems safer and more reliable.
The initiative builds on OpenAI’s existing People-First AI Fund and reflects recommendations from its Nonprofit Commission.
The recapitalisation follows nearly a year of discussions with the Attorneys General of California and Delaware, resulting in stronger governance and accountability. With this structure, OpenAI aims to advance science, promote global cooperation, and share AI benefits broadly.
Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!
AI no longer belongs to speculative fiction or distant possibility. In many ways, it has arrived. From machine translation and real-time voice synthesis to medical diagnostics and language generation, today’s systems perform tasks once reserved for human cognition. For those watching closely, this shift feels less like a surprise and more like a milestone reached.
Ray Kurzweil, one of the most prominent futurists of the past half-century, predicted much of what is now unfolding. In 1999, his book The Age of Spiritual Machines laid a roadmap for how computers would grow exponentially in power and eventually match and surpass human capabilities. Over two decades later, many of his projections for the 2020s have materialised with unsettling accuracy.
The futurist who measured the future
Kurzweil’s work stands out not only for its ambition but for its precision. Rather than offering vague speculation, he produced a set of quantifiable predictions, 147 in total, with a claimed accuracy rate of over 85 percent. These ranged from the growth of mobile computing and cloud-based storage to real-time language translation and the emergence of AI companions.
Since 2012, he has worked at Google as Director of Engineering, contributing to developing natural language understanding systems. He believes is that exponential growth in computing power, driven by Moore’s Law and its successors, will eventually transform our tools and biology.
Reprogramming the body with code
One of Kurzweil’s most controversial but recurring ideas is that human ageing is, at its core, a software problem. He believes that by the early 2030s, advancements in biotechnology and nanomedicine could allow us to repair or even reverse cellular damage.
The logic is straightforward: if ageing results from accumulated biological errors, then precise intervention at the molecular level might prevent those errors or correct them in real time.
Some of these ideas are already being tested, though results remain preliminary. For now, claims about extending life remain speculative, but the research trend is real.
Kurzweil’s perspective places biology and computation on a converging path. His view is not that we will become machines, but that we may learn to edit ourselves with the same logic we use to program them.
The brain, extended
Another key milestone in Kurzweil’s roadmap is merging biological and digital intelligence. He envisions a future where nanorobots circulate through the bloodstream and connect our neurons directly to cloud-based systems. In this vision, the brain becomes a hybrid processor, part organic, part synthetic.
By the mid-2030s, he predicts we may no longer rely solely on internal memory or individual thought. Instead, we may access external information, knowledge, and computation in real time. Some current projects, such as brain–computer interfaces and neuroprosthetics, point in this direction, but remain in early stages of development.
Kurzweil frames this not as a loss of humanity but as an expansion of its potential.
The singularity hypothesis
At the centre of Kurzweil’s long-term vision lies the idea of a technological singularity. By 2045, he believes AI will surpass the combined intelligence of all humans, leading to a phase shift in human evolution. However, this moment, often misunderstood, is not a single event but a threshold after which change accelerates beyond human comprehension.
The singularity, in Kurzweil’s view, does not erase humanity. Instead, it integrates us into a system where biology no longer limits intelligence. The implications are vast, from ethics and identity to access and inequality. Who participates in this future, and who is left out, remains an open question.
Between vision and verification
Critics often label Kurzweil’s forecasts as too optimistic or detached from scientific constraints. Some argue that while trends may be exponential, progress in medicine, cognition, and consciousness cannot be compressed into neat timelines. Others worry about the philosophical consequences of merging with machines.
Still, it is difficult to ignore the number of predictions that have already come true. Kurzweil’s strength lies not in certainty, but in pattern recognition. His work forces a reckoning with what might happen if the current pace of change continues unchecked.
Whether or not we reach the singularity by 2045, the present moment already feels like the future he described.
Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!
Luke Temple woke to messages about a new Here We Go Magic track he never made. An AI-generated song appeared on the band’s Spotify, Tidal, and YouTube pages, triggering fresh worries about impersonation as cheap tools flood platforms.
Platforms say defences are improving. Spotify confirmed the removal of the fake track and highlighted new safeguards against impersonation, plus a tool to flag mismatched releases pre-launch. Tidal said it removed the song and is upgrading AI detection. YouTube did not comment.
Industry teams describe a cat-and-mouse race. Bad actors exploit third-party distributors with light verification, slipping AI pastiches into official pages. Tools like Suno and Udio enable rapid cloning, encouraging volume spam that targets dormant and lesser-known acts.
Per-track revenue losses are tiny, reputational damage is not. Artists warn that identity theft and fan confusion erode trust, especially when fakes sit beside legitimate catalogues or mimic deceased performers. Labels caution that volume is outpacing takedowns across major services.
Proposed fixes include stricter distributor onboarding, verified artist controls, watermark detection, and clear AI labels for listeners. Rights holders want faster escalation and penalties for repeat offenders. Musicians monitor profiles and report issues, yet argue platforms must shoulder the heavier lift.
Would you like to learn more about AI, tech, and digital diplomacy? If so, ask our Diplo chatbot!
UNESCO’s Office for the Caribbean has launched a regional survey examining gender and AI, titled Perception of AI Fairness and Online Safety among Women and Girls in the Caribbean. The initiative addresses the lack of data on how women and girls experience technology, AI, and online violence in the region.
The 2025 survey is part of a broader UNESCO effort to understand AI’s impact on gender equality. It covers gender-based online violence, generative AI’s implications for privacy, and potential biases in large AI models.
The findings will be used to develop a regional policy brief compared with global data.
UNESCO encourages participation from women and girls across the Caribbean, highlighting that community input is vital for shaping effective AI policies. A one-day workshop on 10 December 2025 will equip young women with skills to navigate AI safely.
The initiative aims to position the Caribbean as a leader in ensuring AI respects dignity, equality, and human rights.
Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!
LifeClock, reported in Nature Medicine, estimates biological age from routine health records. Trained on 24.6 million visits and 184 indicators, it offers a low-cost route to precision health beyond simple chronology.
Researchers found two distinct clocks: a paediatric development clock and an adult ageing clock. Specialised models improved accuracy, reflecting scripted growth versus decline. Biomarkers diverged between stages, aligning with growth or deterioration.
LifeClock stratified risk years ahead. In children, clusters flagged malnutrition, developmental disorders, and endocrine issues, including markedly higher odds of pituitary hyperfunction and obesity. Adult clusters signalled future diabetes, stroke, renal failure, and cardiovascular disease.
Performance was strong after fine-tuning: the area under the curve hit 0.98 for current diabetes and 0.91 for future diabetes. EHRFormer outperformed RNN and gradient-boosting baselines across longitudinal records.
Authors propose LifeClock for accessible monitoring, personalised interventions, and prevention. Adding wearables and real-time biometrics could refine responsiveness, enabling earlier action on emerging risks and supporting equitable precision medicine at the population scale.
Would you like to learn more about AI, tech, and digital diplomacy? If so, ask our Diplo chatbot!
OpenAI says a small share of ChatGPT users show possible signs of mental health emergencies each week, including mania, psychosis, or suicidal thoughts. The company estimates 0.07 percent and says safety prompts are triggered. Critics argue that small percentages scale at ChatGPT’s size.
A further 0.15 percent of weekly users discuss explicit indicators of potential suicidal planning or intent. Updates aim to respond more safely and empathetically, and to flag indirect self-harm signals. Sensitive chats can be routed to safer models in a new window.
More than 170 clinicians across 60 countries advise OpenAI on risk cues and responses. Guidance focuses on encouraging users to seek real-world support. Researchers warn vulnerable people may struggle to act on on-screen warnings.
External specialists see both value and limits. AI may widen access when services are stretched, yet automated advice can mislead. Risks include reinforcing delusions and misplaced trust in authoritative-sounding output.
Legal and public scrutiny is rising after high-profile cases linked to chatbot interactions. Families and campaigners want more transparent accountability and stronger guardrails. Regulators continue to debate transparency, escalation pathways, and duty of care.
Would you like to learn more about AI, tech, and digital diplomacy? If so, ask our Diplo chatbot!
