DeepSeek dominates AI crypto trading challenge

Chinese AI model DeepSeek V3.1 has outperformed its global competitors in a real-market cryptocurrency trading challenge, earning over 10 per cent profit in just a few days.

The experiment, named Alpha Arena, was launched by US research firm Nof1 to test the investing skills of leading LLMs.

Each participating AI was given US$10,000 to trade in six cryptocurrency perpetual contracts, including bitcoin and solana, on the decentralised exchange Hyperliquid. By Tuesday afternoon, DeepSeek V3.1 led the field, while OpenAI’s GPT-5 trailed behind with a loss of nearly 40 per cent.

The competition highlights the growing potential of AI models to make autonomous financial decisions in real markets.

It also underscores the rivalry between Chinese and American AI developers as they push to demonstrate their models’ adaptability beyond traditional text-based tasks.

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UN advances human rights-focused economic metrics

The UN is developing new economic indicators to complement gross domestic product (GDP) as a measure of progress. A 14-member expert group, appointed by the UN Secretary-General, is creating metrics that reflect social well-being, equality, and environmental sustainability.

Their proposals, to be presented to the UN General Assembly in 2026, could reshape how governments assess success and guide future economic policies.

UN agencies, in collaboration with Chile, Honduras, Mexico, and Spain, are working to embed human rights into these new metrics. The initiative focuses on areas such as economic inequality, public social spending, environmental impact, gender equality, and labour rights, aiming to shift economic systems toward fairness, participation, and care for the planet.

Deputy High Commissioner for Human Rights, Nada Al-Nashif, emphasised that these efforts are about rethinking economic systems to ensure they measure what truly matters for people and the environment.

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MIT unveils SEAL, a self-improving AI model

Researchers at the Massachusetts Institute of Technology (MIT) have unveiled SEAL, a new AI model capable of improving its own performance without human intervention. The framework allows the model to generate its own training data and fine-tuning instructions, enabling it to learn new tasks autonomously.

The model employs reinforcement learning, a method in which it tests different strategies, evaluates their effectiveness, and adjusts its internal processes accordingly. This allows SEAL to refine its capabilities and increase accuracy over time.

In trials, SEAL outperformed GPT-4.1 by learning from the data it generated independently. The results demonstrate the potential of self-improving AI systems to reduce reliance on manually curated datasets and human-led fine-tuning.

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YouTube launches likeness detection to protect creators from AI misuse

YouTube has expanded its AI safeguards with a new likeness detection system that identifies AI-generated videos imitating creators’ faces or voices. The tool is now available to eligible members of the YouTube Partner Program after a limited pilot phase.

Creators can review detected videos and request their removal under YouTube’s privacy rules or submit copyright claims.

YouTube said the feature aims to protect users from having their image used to promote products or spread misinformation without consent.

The onboarding process requires identity verification through a short selfie video and photo ID. Creators can opt out at any time, with scanning ending within a day of deactivation.

YouTube has backed recent legislative efforts, such as the NO FAKES Act in the US, which targets deceptive AI replicas. The move highlights growing industry concern over deepfake misuse and the protection of digital identity.

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Netherlands and China in talks to resolve Nexperia dispute

The Dutch Economy Minister has spoken with his Chinese counterpart to ease tensions following the Netherlands’ recent seizure of Nexperia, a major Dutch semiconductor firm.

China, where most of Nexperia’s chips are produced and sold, reacted by blocking exports, creating concern among European carmakers reliant on its components.

Vincent Karremans said he had discussed ‘further steps towards reaching a solution’ with Chinese Minister of Commerce Wang Wentao.

Both sides emphasised the importance of finding an outcome that benefits Nexperia, as well as the Chinese and European economies.

Meanwhile, Nexperia’s China division has begun asserting its independence, telling employees they may reject ‘external instructions’.

The firm remains a subsidiary of Shanghai-listed Wingtech, which has faced growing scrutiny from European regulators over national security and strategic technology supply chains.

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Meta strengthens protection for older adults against online scams

The US giant, Meta, has intensified its campaign against online scams targeting older adults, marking Cybersecurity Awareness Month with new safety tools and global partnerships.

Additionally, Meta said it had detected and disrupted nearly eight million fraudulent accounts on Facebook and Instagram since January, many linked to organised scam centres operating across Asia and the Middle East.

The social media giant is joining the National Elder Fraud Coordination Center in the US, alongside partners including Google, Microsoft and Walmart, to strengthen investigations into large-scale fraud operations.

It is also collaborating with law enforcement and research groups such as Graphika to identify scams involving fake customer service pages, fraudulent financial recovery services and deceptive home renovation schemes.

Meta continues to roll out product updates to improve online safety. WhatsApp now warns users when they share screens with unknown contacts, while Messenger is testing AI-powered scam detection that alerts users to suspicious messages.

Across Facebook, Instagram and WhatsApp, users can activate passkeys and complete a Security Checkup to reinforce account protection.

The company has also partnered with organisations worldwide to raise scam awareness among older adults, from digital literacy workshops in Bangkok to influencer-led safety campaigns across Europe and India.

These efforts form part of Meta’s ongoing drive to protect users through a mix of education, advanced technology and cross-industry cooperation.

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Teachers become intelligence coaches in AI-driven learning

AI is reshaping education, pushing teachers to act as intelligence coaches and co-creators instead of traditional instructors.

Experts at an international conference, hosted in Greece, to celebrate Athens College’s centennial, discussed how AI personalises learning and demands a redefined teaching role.

Bill McDiarmid, professor emeritus at the University of North Carolina, said educators must now ask students where they find their information and why they trust it.

Similarly, Yong Zhao of the University of Kansas highlighted that AI enables individualised learning, allowing every student to achieve their full potential.

Speakers agreed AI should serve as a supportive partner, not a replacement, helping schools prepare students for an active role in shaping their futures.

The event, held under Greek President Konstantinos Tasoulas’ auspices, also urged caution when experimenting with AI on minors due to potential long-term risks.

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Is the world ready for AI to rule justice?

AI is creeping into almost every corner of our lives, and it seems the justice system’s turn has finally come. As technology reshapes the way we work, communicate, and make decisions, its potential to transform legal processes is becoming increasingly difficult to ignore. The justice system, however, is one of the most ethically sensitive and morally demanding fields in existence. 

For AI to play a meaningful role in it, it must go beyond algorithms and data. It needs to understand the principles of fairness, context, and morality that guide every legal judgement. And perhaps more challengingly, it must do so within a system that has long been deeply traditional and conservative, one that values precedent and human reasoning above all else. Jet, from courts to prosecutors to lawyers, AI promises speed, efficiency, and smarter decision-making, but can it ever truly replace the human touch? 

AI is reshaping the justice system with unprecedented efficiency, but true progress depends on whether humanity is ready to balance innovation with responsibility and ethical judgement.

AI in courts: Smarter administration, not robot judges… yet

Courts across the world are drowning in paperwork, delays, and endless procedural tasks, challenges that are well within AI’s capacity to solve efficiently. From classifying cases and managing documentation to identifying urgent filings and analysing precedents, AI systems are beginning to serve as silent assistants within courtrooms. 

The German judiciary, for example, has already shown what this looks like in practice. AI tools such as OLGA and Frauke have helped categorise thousands of cases, extract key facts, and even draft standardised judgments in air passenger rights claims, cutting processing times by more than half. For a system long burdened by backlogs, such efficiency is revolutionary.

Still, the conversation goes far beyond convenience. Justice is not a production line; it is built on fairness, empathy, and the capacity to interpret human intent. Even the most advanced algorithm cannot grasp the nuance of remorse, the context of equality, or the moral complexity behind each ruling. The question is whether societies are ready to trust machine intelligence to participate in moral reasoning.

The final, almost utopian scenario would be a world where AI itself serves as a judge who is unbiased, tireless, and immune to human error or emotion. Yet even as this vision fascinates technologists, legal experts across Europe, including the EU Commission and the OECD, stress that such a future must remain purely theoretical. Human judges, they argue, must always stay at the heart of justice- AI may assist in the process, but it must never be the one to decide it. The idea is not to replace judges but to help them navigate the overwhelming sea of information that modern justice generates.

Courts may soon become smarter, but true justice still depends on something no algorithm can replicate: the human conscience. 

AI is reshaping the justice system with unprecedented efficiency, but true progress depends on whether humanity is ready to balance innovation with responsibility and ethical judgement.

AI for prosecutors: Investigating with superhuman efficiency

Prosecutors today are also sifting through thousands of documents, recordings, and messages for every major case. AI can act as a powerful investigative partner, highlighting connections, spotting anomalies, and bringing clarity to complex cases that would take humans weeks to unravel. 

Especially in criminal law, cases can involve terabytes of documents, evidence that humans can hardly process within tight legal deadlines or between hearings, yet must be reviewed thoroughly. AI tools can sift through this massive data, flag inconsistencies, detect hidden links between suspects, and reveal patterns that might otherwise remain buried. Subtle details that might escape the human eye can be detected by AI, making it an invaluable ally in uncovering the full picture of a case. By handling these tasks at superhuman speed, AI could also help accelerate the notoriously slow pace of legal proceedings, giving prosecutors more time to focus on strategy and courtroom preparation. 

More advanced systems are already being tested in Europe and the US, capable of generating detailed case summaries and predicting which evidence is most likely to hold up in court. Some experimental tools can even evaluate witness credibility based on linguistic cues and inconsistencies in testimony. In this sense, AI becomes a strategic partner, guiding prosecutors toward stronger, more coherent arguments. 

AI is reshaping the justice system with unprecedented efficiency, but true progress depends on whether humanity is ready to balance innovation with responsibility and ethical judgement.

AI for lawyers: Turning routine into opportunity

The adoption of AI and its capabilities might reach their maximum when it comes to the work of lawyers, where transforming information into insight and strategy is at the core of the profession. AI can take over repetitive tasks: reviewing contracts, drafting documents, or scanning case files, freeing lawyers to focus on the work that AI cannot replace, such as strategic thinking, creative problem-solving, and providing personalised client support. 

AI can be incredibly useful for analysing publicly available cases, helping lawyers see how similar situations have been handled, identify potential legal opportunities, and craft stronger, more informed arguments. By recognising patterns across multiple cases, it can suggest creative questions for witnesses and suspects, highlight gaps in the evidence, and even propose potential defence strategies. 

AI also transforms client communication. Chatbots and virtual assistants can manage routine queries, schedule meetings, and provide concise updates, giving lawyers more time to understand clients’ needs and build stronger relationships. By handling the mundane, AI allows lawyers to spend their energy on reasoning, negotiation, and advocacy.

AI is reshaping the justice system with unprecedented efficiency, but true progress depends on whether humanity is ready to balance innovation with responsibility and ethical judgement.

Balancing promise with responsibility

AI is transforming the way courts, prosecutors, and lawyers operate, but its adoption is far from straightforward. While it can make work significantly easier, the technology also carries risks that legal professionals cannot ignore. Historical bias in data can shape AI outputs, potentially reinforcing unfair patterns if humans fail to oversee its use. Similarly, sensitive client information must be protected at all costs, making data privacy a non-negotiable responsibility. 

Training and education are therefore crucial. It is essential to understand not only what AI can do but also its limits- how to interpret suggestions, check for hidden biases, and decide when human judgement must prevail. Without this understanding, AI risks being a tool that misleads rather than empowers. 

The promise of AI lies in its ability to free humans from repetitive work, allowing professionals to focus on higher-value tasks. But its power is conditional: efficiency and insight mean little without the ethical compass of the human professionals guiding it.

Ultimately, the justice system is more than a process. It is about fairness, empathy, and moral reasoning. AI can assist, streamline, and illuminate, but the responsibility for decisions, for justice itself, remains squarely with humans. In the end, the true measure of AI’s success in law will be how it enhances human judgement, not how it replaces it.

So, is the world ready for AI to rule justice? The answer remains clear. While AI can transform how justice is delivered, the human mind, heart, and ethical responsibility must remain at the centre. AI may guide the way, but it cannot and should not hold the gavel.

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AWS outage turned a mundane DNS slip into global chaos

Cloudflare’s boss summed up the mood after Monday’s chaos, relieved his firm wasn’t to blame as outages rippled across more than 1,000 companies. Snapchat, Reddit, Roblox, Fortnite, banks, and government portals faltered together, exposing how much of the web leans on Amazon Web Services.

AWS is the backbone for a vast slice of the internet, renting compute, storage, and databases so firms avoid running their own stacks. However, a mundane Domain Name System error in its Northern Virginia region scrambled routing, leaving services online yet unreachable as traffic lost its map.

Engineers call it a classic failure mode: ‘It’s always DNS.’ Misconfigurations, maintenance slips, or server faults can cascade quickly across shared platforms. AWS says teams moved to mitigate, but the episode showed how a small mistake at scale becomes a global headache in minutes.

Experts warned of concentration risk: when one hyperscaler stumbles, many fall. Yet few true alternatives exist at AWS’s scale beyond Microsoft Azure and Google Cloud, with smaller rivals from IBM to Alibaba, and fledgling European plays, far behind.

Calls for UKEU cloud sovereignty are growing, but timelines and costs are steep. Monday’s outage is a reminder that resilience needs multi-region and multi-cloud designs, tested failovers, and clear incident comms, not just faith in a single provider.

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Anthropic unveils Claude Life Sciences to transform research efficiency

Anthropic has unveiled Claude for Life Sciences, its first major launch in the biotechnology sector.

The new platform integrates Anthropic’s AI models with leading scientific tools such as Benchling, PubMed, 10x Genomics and Synapse.org, offering researchers an intelligent assistant throughout the discovery process.

The system supports tasks from literature reviews and hypothesis development to data analysis and drafting regulatory submissions. According to Anthropic, what once took days of validation and manual compilation can now be completed in minutes, giving scientists more time to focus on innovation.

An initiative that follows the company’s appointment of Eric Kauderer-Abrams as head of biology and life sciences. He described the move as a ‘threshold moment’, signalling Anthropic’s ambition to make Claude a key player in global life science research, much like its role in coding.

Built on the newly released Claude Sonnet 4.5 model, which excels at interpreting lab protocols, the platform connects with partners including AWS, Google Cloud, KPMG and Deloitte.

While Anthropic recognises that AI cannot accelerate physical trials, it aims to transform time-consuming processes and promote responsible digital transformation across the life sciences.

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