Artificial intelligence

Gemini 3 struggles to accept the year 2025

Google’s new AI model, Gemini 3, was left temporarily confused when it refused to accept that the year was 2025 during early testing by AI researcher Andrej Karpathy.

The model, pre-trained on data only through 2024 and initially disconnected from the internet, accused Karpathy of trickery and gaslighting before finally recognising the correct date.

Once Gemini 3 accessed real-time information, it expressed astonishment and apologised for its previous behaviour, demonstrating the model’s quirky but sophisticated reasoning capabilities. The interaction went viral online, drawing attention to both the humour and unpredictability of advanced AI systems.

Experts note that incidents like this illustrate the limitations of LLMs, which, despite their reasoning power, cannot inherently perceive reality and rely entirely on pre-training data and connected tools.

Observers emphasise that AI remains a powerful human aid rather than a replacement, and understanding its quirks is essential for practical use.

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AI teaching leaves Staffordshire students frustrated

Students at the University of Staffordshire in the UK have criticised a coding course after discovering much of the teaching was delivered through AI-generated slides and voiceovers.

Participants in the government-funded apprenticeship programme said they felt deprived of knowledge and frustrated that the course relied heavily on automated materials.

Concerns arose when learners noticed inconsistencies in language, suspicious file names, and abrupt changes in voiceover accents during lessons.

Students reported raising these issues with university staff, but the institution maintained the use of AI, asserting it supported academic standards while remaining ethical and responsible.

Critics argue that AI teaching diminishes engagement and reduces the opportunity to acquire practical skills needed for career development.

Experts suggest students supplement AI-driven courses with hands-on learning and critical thinking to ensure the experience remains valuable and relevant to their professional goals.

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Entry-level jobs vanish as AI rises

Generative AI is reshaping the job market by reducing the need for entry-level positions, particularly in white-collar industries. Analysts warn that young workers are losing the opportunity to acquire skills through traditional on-the-job experience, which has historically paved the way for promotions.

Employers are drawn to AI for its efficiency, as it can complete tasks in a fraction of the time it once took human teams. This shift poses a threat to the traditional career ladder, resulting in a shortage of trained candidates for senior and managerial roles in the years to come.

Young professionals can counter these trends by acquiring practical AI skills, even outside of technology sectors. Combining human strengths, such as strategic thinking, with AI proficiency may help early-career workers remain competitive and adapt to evolving workplace demands.

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New NVIDIA model drives breakthroughs in conservation biology

Researchers have introduced a biology foundation model that can recognise over a million species and understand relationships across the animal and plant kingdoms.

BioCLIP 2 was trained on one of the most extensive biological datasets ever compiled, allowing it to identify traits, cluster organisms and reveal patterns that support conservation efforts.

A model that relies on NVIDIA accelerated computing instead of traditional methods and demonstrates what large-scale biological learning can achieve.

Training drew on more than two hundred million images that cover hundreds of thousands of taxonomic classes. The AI model learned how species fit within wider biological hierarchies and how traits differ across age, gender and related groups without explicit guidance.

It even separated diseased leaves from healthy samples, offering a route to improved monitoring of ecosystems and agricultural resilience.

Scientists now plan to expand the project by utilising wildlife digital twins that simulate ecological systems in controlled environments.

Researchers will be able to study species interactions and test scenarios instead of disturbing natural habitats. The approach opens possibilities for richer ecological research and could offer the public immersive ways to view biodiversity from the perspective of different animals.

BioCLIP 2 is available as open-source software and has already attracted strong global interest. Its capabilities indicate a shift toward more advanced biological modelling powered by accelerated computing, providing conservationists and educators with new tools to address long-standing knowledge gaps.

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Armenia promotes AI partnership during ambassador’s meeting with Apple in Cupertino

Armenia’s ambassador, Narek Mkrtchyan, has met senior Apple representatives in Cupertino to discuss expanding the company’s activities in the country. The visit included talks with Jason Lundgaard, Apple’s senior director for international cooperation at corporate government affairs.

The ambassador outlined the Armenia–US memorandum on AI and semiconductor cooperation signed on 8 August and highlighted Armenia’s technology ecosystem and investment potential. Both sides explored areas for collaboration and the conditions under which Apple could expand its presence.

Apple plans to send a delegation to Armenia in the coming period to assess opportunities for growth and engagement with local institutions. The discussions signalled early steps toward a more structured partnership.

During the meeting, the ambassador thanked Mr Lundgaard for supporting the launch of Apple’s first educational programme at the Armenian College of Creative Technologies. The initiative forms part of a wider effort to strengthen skills development in Armenia’s digital sector.

Both sides reiterated their commitment to deepen cooperation and expand the educational partnership as Armenia positions itself as a regional hub for advanced technologies.

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Bangladesh unveils national roadmap for ethical AI development

Bangladesh has launched its first national AI Readiness Assessment Report to guide ethical, inclusive and rights-centred development of AI across public services.

The report was unveiled in Dhaka with representatives from government, international organisations, academia, civil society and the private sector. Officials described the assessment as a pivotal step as the country prepares for an increasingly AI-driven era.

The report outlines Bangladesh’s current strengths, including solid progress in e-government and high public trust in digital services, while also identifying areas requiring urgent attention.

Connectivity gaps, digital divides, limited computing capacity and the need for stronger data protection and cybersecurity remain key challenges. Policymakers noted that evidence-based decisions are essential as Bangladesh completes its National AI Policy.

International partners highlighted that the direction of AI development will depend heavily on choices made today. Strengthening digital infrastructure, improving skills, and building rights-driven governance structures were cited as central to ensuring AI benefits all communities.

Stakeholders also stressed the importance of using AI to improve services across health, education, justice and social protection without deepening existing inequalities.

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New study shows AI improves mental health diagnoses

A Lund University study shows an AI assistant can assess psychiatric conditions more accurately than standard mental health rating scales. In a study of 303 participants, the AI assistant Alba gave DSM-based diagnoses, outperforming standard tools in eight of nine disorders.

The study included conditions such as depression, anxiety, OCD, PTSD, ADHD, autism, eating disorders, substance use disorder and bipolar disorder.

Alba proved particularly effective at distinguishing overlapping conditions where traditional rating scales often yield similar results. Participants also reported positive experiences with the AI interview, describing it as empathic, supportive and engaging.

Researchers highlighted that AI-assisted interviews could serve as a scalable, person-centred tool to complement clinical assessments while preserving the clinician’s essential role.

The study advances digital mental health tools, with Alba analysing the full DSM-5 manual instead of individual disorders. Talk To Alba offers AI-powered clinical interviews, CBT support, DSM-5-based diagnosis, and consultation transcription.

Experts emphasise that such AI solutions can ease healthcare workloads, provide preliminary assessments, and maintain high diagnostic reliability without replacing mental health professionals.

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Google launches AI skilling blueprint to close Africa’s skills gap

Google has launched an AI Skilling Blueprint for Africa, activating a $7.5 million commitment to support expert local organisations in training talent. An additional $2.25 million will be used to modernise public data infrastructure.

The initiative aims to address the continent’s widening AI skills gap, where over half of businesses report the biggest barrier to growth is a shortage of qualified professionals.

The framework identifies three core groups for development. AI Learners build foundational AI skills, AI Implementers upskill professionals across key sectors, and AI Innovators develop experts and entrepreneurs to create AI solutions suited to African contexts.

Partner organisations include FATE Foundation, the African Institute for Mathematical Sciences, JA Africa and the CyberSafe Foundation.

Complementing talent development, the initiative supports the creation of a Regional Data Commons through funding from Google.org and the Data Commons initiative, in partnership with UNECA, UN DESA and PARIS21.

High-quality, trustworthy data will enable African institutions to make informed decisions, drive innovation in public health, food security, economic planning, and ultimately strengthen a sustainable AI ecosystem across the continent.

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GPT‑5 expands research speed and idea generation for scientists

AI technology is increasingly helping scientists accelerate research across fields including biology, mathematics, physics, and computer science. Early GPT‑5 studies show it can synthesise information, propose experiments, and aid in solving long-standing mathematical problems.

Experts note the technology expands the range of ideas researchers can explore and shortens the time to validate results.

Case studies demonstrate tangible benefits: in biology, GPT‑5 helped identify mechanisms in human immune cells within minutes, suggesting experiments that confirmed the results.

In mathematics, GPT‑5 suggested new approaches, and in optimisation, it identified improved solutions later verified by researchers.

These advances reinforce human-led research rather than replacing it.

OpenAI for Science emphasises collaboration between AI and experts. GPT‑5 excels at conceptual literature review, exploring connections across disciplines, and proposing hypotheses for experimental testing.

Its greatest impact comes when researchers guide the process, breaking down problems, critiquing suggestions, and validating outcomes.

Researchers caution that AI does not replace human expertise. Current models aid speed, idea generation, and breadth, but expert oversight is essential to ensure reliable and meaningful scientific contributions.

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AI data centre boom drives global spike in memory chip prices

The rapid expansion of AI data centres is pushing up memory chip prices and straining an already tight supply chain. DRAM costs are rising as manufacturers prioritise high-bandwidth memory for AI systems, leaving fewer components available for consumer devices.

The shift is squeezing supply across sectors that depend on standard DRAM, from PCs and smartphones to cars and medical equipment. Analysts say the imbalance is driving up component prices quickly, with Samsung reportedly raising some memory prices by as much as 60%.

Rising demand for HBM reflects the needs of AI clusters, which rely on vast memory pools alongside GPUs, CPUs and storage. But with only a handful of major suppliers, including Samsung, SK Hynix, and Micron, the surge is pushing prices across the market higher.

Industry researchers warn that rising memory costs will likely be passed on to consumers, especially in lower-priced laptops and embedded systems. Makers may switch to cheaper parts or push suppliers for concessions, but the overall price trend remains upward.

While memory is known for cyclical booms and busts, analysts say the global race to build AI data centres makes it difficult to predict when supply will stabilise. Until then, higher memory prices look set to remain a feature of the market.

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