CryptoQuant data shows Bitcoin mining profitability has fallen to its weakest level in 14 months, as declining prices and rising operational pressure weigh on the sector. The miner profit and loss sustainability index dropped to 21, its lowest reading since November 2024.
Lower Bitcoin prices and elevated mining difficulty have left operators ‘extremely underpaid’, according to the report. Network hash rate has also declined across five consecutive epochs, reaching its lowest level since September 2025 and signalling reduced computing power securing the network.
Severe winter weather across parts of the eastern United States added further strain, disrupting mining activity and pushing daily revenues down to around $28 million, a yearly low. Weaker risk appetite across equities and digital assets has compounded the impact.
Shares in listed miners such as MARA Holdings, CleanSpark, and Riot Holdings have fallen by double-digit percentages over the past week. Data from the Cambridge Bitcoin Electricity Consumption Index shows mining BTC now costs more than buying it on the open market, increasing pressure on weaker operators.
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Google has unveiled AlphaGenome, a new AI research tool designed to analyse the human genome and uncover the genetic roots of disease. The announcement was made in Paris, where researchers described the model as a major step forward.
AlphaGenome focuses on non-coding DNA, which makes up most of the human genome and plays a key role in regulating genes. Google scientists in Paris said the system can analyse extremely long DNA sequences at high resolution.
The model was developed by Google DeepMind using public genomic datasets from humans and mice. Researchers in Paris said the tool predicts how genetic changes influence biological processes inside cells.
Independent experts in the UK welcomed the advance but urged caution. Scientists at University of Cambridge and the Francis Crick Institute noted that environmental factors still limit what AI models can explain.
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Anthropic engineers are increasingly relying on AI to write the code behind the company’s products, with senior staff now delegating nearly all programming tasks to AI systems.
Claude Code lead Boris Cherny said he has not written any software by hand for more than two months, with all recent updates generated by Anthropic’s own models. Similar practices are reportedly spreading across internal teams.
Company leadership has previously suggested AI could soon handle most software engineering work from start to finish, marking a shift in how digital products are built and maintained.
The adoption of AI coding tools has accelerated across the technology sector, with firms citing major productivity gains and faster development cycles as automation expands.
Industry observers note the transition may reshape hiring practices and entry-level engineering roles, as AI increasingly performs core implementation tasks previously handled by human developers.
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French streaming platform Deezer has opened access to its AI music detection tool for rival services, including Spotify. The move follows mounting concern in France and across the industry over the rapid rise of synthetic music uploads.
Deezer said around 60,000 AI-generated tracks are uploaded daily, with 13.4 million detected in 2025. In France, the company has already demonetised 85% of AI-generated streams to redirect royalties to human artists.
The tool automatically tags fully AI-generated tracks, removes them from recommendations and flags fraudulent streaming activity. Spotify, which also operates widely in France, has introduced its own measures but relies more heavily on creator disclosure.
Challenges remain for Deezer in France and beyond, as the system struggles to identify hybrid tracks mixing human and AI elements. Industry pressure continues to grow for shared standards that balance innovation, transparency and fair payment.
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Millions of South Africans are set to gain access to AI and digital skills through a partnership between Microsoft South Africa and the national broadcaster SABC Plus. The initiative will deliver online courses, assessments, and recognised credentials directly to learners’ devices.
Building on Microsoft Elevate and the AI Skills Initiative, the programme follows the training of 1.4 million people and the credentialing of nearly half a million citizens since 2025. SABC Plus, with over 1.9 million registered users, provides an ideal platform to reach diverse communities nationwide.
AI and data skills are increasingly critical for employability, with global demand for AI roles growing rapidly. Microsoft and SABC aim to equip citizens with practical, future-ready capabilities, ensuring learning opportunities are not limited by geography or background.
The collaboration also complements Microsoft’s broader initiatives in South Africa, including Ikamva Digital, ElevateHer, Civic AI, and youth certification programmes, all designed to foster inclusion and prepare the next generation for a digital economy.
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European technology leaders are increasingly questioning the long-held assumption that information technology operates outside politics, amid growing concerns about reliance on US cloud providers and digital infrastructure.
At HiPEAC 2026, Nextcloud chief executive Frank Karlitschek argued that software has become an instrument of power, warning that Europe’s dependence on American technology firms exposes organisations to legal uncertainty, rising costs, and geopolitical pressure.
He highlighted conflicts between EU privacy rules and US surveillance laws, predicting continued instability around cross-border data transfers and renewed risks of services becoming legally restricted.
Beyond regulation, Karlitschek pointed to monopoly power among major cloud providers, linking recent price increases to limited competition and warning that vendor lock-in strategies make switching increasingly difficult for European organisations.
He presented open-source and locally controlled cloud systems as a path toward digital sovereignty, urging stronger enforcement of EU competition rules alongside investment in decentralised, federated technology models.
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OpenAI has developed an internal AI data agent designed to help employees move from complex questions to reliable insights in minutes. The tool allows teams to analyse vast datasets using natural language instead of manual SQL-heavy workflows.
Across engineering, finance, research and product teams, the agent reduces friction by locating the right tables, running queries and validating results automatically. Built on GPT-5.2, it adapts as it works, correcting errors and refining its approach without constant human input.
Context plays a central role in the system’s accuracy, combining metadata, human annotations, code-level insights and institutional knowledge. A built-in memory function stores non-obvious corrections, helping the agent improve over time and avoid repeated mistakes.
To maintain trust, OpenAI evaluates the agent continuously using automated tests that compare generated results with verified benchmarks. Strong access controls and transparent reasoning ensure the system remains secure, reliable and aligned with existing data permissions.
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A survey of contact centre and customer experience (CX) leaders finds that AI has become ‘non-negotiable’ for organisations seeking to deliver efficient, personalised, and data-driven customer service.
Respondents reported widespread use of AI-enabled tools such as chatbots, virtual agents, and conversational analytics to handle routine queries, triage requests and surface insights from large volumes of interaction data.
CX leaders emphasised AI’s ability to boost service quality and reduce operational costs, enabling faster response times and better outcomes across channels.
Many organisations are investing in AI platforms that integrate with existing systems to automate workflows, assist human agents, and personalise interactions based on real-time customer context.
Despite optimism, leaders also noted challenges, including data quality, governance, skills gaps and maintaining human oversight, and stressed that AI should augment, not replace, human agents.
The article underscores that today’s competitive CX landscape increasingly depends on strategic AI adoption rather than optional experimentation.
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NVIDIA has unveiled a new suite of open physical AI models and frameworks aimed at accelerating robotics and autonomous systems development. The announcement was made at CES 2026 in the US.
The new tools span simulation, synthetic data generation, training orchestration and edge deployment in the US. NVIDIA said the stack enables robots and autonomous machines to reason, learn and act in real-world environments using shared 3D standards.
Developers in the US showcased applications ranging from construction and factory robots to surgical and service systems. Companies, including Caterpillar and NEURA Robotics, demonstrated how digital twins and open AI models improve safety and efficiency.
NVIDIA said open-source collaboration is central to advancing physical AI in the US and globally. The company aims to shorten development cycles while supporting safer deployment of autonomous machines across industries.
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Researchers at the University of Chicago are using AI to uncover insights into how the human brain processes surprise. The project, directed by Associate Professor Monica Rosenberg, compares human and AI responses to narrative moments to explore cognitive processes.
The study involved participants listening to stories whilst researchers recorded their responses through brain scans. Researchers then fed identical stories to the language model Llama, prompting it to predict subsequent text after each segment.
When AI predictions diverged from actual story content, that gap served as a measure of surprise, mirroring the discrepancy human readers experience when expectations fail.
Results showed a striking alignment between AI prediction errors and both participants’ reported feelings and brain-scan activity patterns. The correlation emerged when texts were analysed in 10 to 20-word chunks, suggesting humans and AI encode surprise at broader levels where ideas unfold.
Fourth-year data science student Bella Summe, involved in the Cognition, Attention and Brain Lab research, noted the creative challenge of working in an emerging field.
Few studies have explored whether LLM prediction errors could serve as measures of human surprise, requiring constant problem-solving and experimental design adaptation throughout the project.
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