AI readiness

OpenAI has abandoned its plan to release an upcoming model as safety concerns escalate, CNBC reports. The decision means a highly anticipated system will not ship as expected, and the move is drawing attention to how the company weighs commercial pressure against internal worries about model risks and readiness.

Meta has signed a deal with Australian firm Firmus to secure AI computing capacity serving Southeast Asia, Reuters reports. The partnership gives the social media company additional data centre infrastructure in the region as demand for artificial intelligence compute surges. Firmus specialises in building high-density, AI-ready data centre capacity, making it a useful partner for Meta's expansion beyond its existing facilities.

Commentary on artificial intelligence in education argues that AI itself will not disrupt schooling; the greater risk lies in failing to prepare teachers for it. The piece contends that schools should focus on training and supporting educators to use AI tools well, rather than treating the technology as an unavoidable threat to traditional teaching.

OpenAI has decided not to release its highly anticipated new AI model, GPT-6.1 Astra, saying it does not meet the company's internal safety standards. The story drew significant media attention, with commentators invited onto BBC News to discuss what the delay means for the race to ship ever more capable AI systems.

A blogger shared a spam email claiming their blog scored 56% on so-called 'AI readiness', a vague metric with no clear definition. The blogger refused to click any links, joking about wanting the score down to 0% and noting their blog contains old prompt-injection jokes that may have triggered it. The episode highlights a growing wave of AI-themed marketing spam preying on publishers' anxieties about how their content is used by AI systems.

OpenAI has reportedly delayed its initial public offering, with AI safety concerns cited as a key reason behind the decision. The move suggests the company is prioritizing internal reviews of its safety practices over a fast-tracked listing. The report is drawing attention from tech and business observers weighing what the delay signals about the company's readiness for public markets.

Commentary is warning that AI agents — autonomous software that can perform work tasks — are poised to enter workplaces at scale, and that companies are unprepared. The argument: your next coworker may be an AI agent, and managing human-AI collaboration will require entirely new models of workplace interaction, training and management, rather than simply adding a new software tool.

Technology consultancy Public Digital has issued a warning that institutions are losing control as artificial intelligence reshapes how organisations operate. The firm, co-founded by former UK government digital leaders, argues that traditional institutions risk falling behind unless they fundamentally adapt their structures and decision-making to the pace of AI-driven change. The message was circulated via a press release picked up by business and technology outlets.

Financial figures reportedly contained in Anthropic's leaked IPO prospectus are being picked over by analysts and commentators, with debate focused on what the numbers reveal about the AI company's revenue, costs and readiness to go public. Commentators are divided on whether the disclosures strengthen or complicate the case for a listing.

A new wave of AI-ready computers is on the way, and Swedish tech outlet Computer Sweden reports they will likely cut ongoing cloud costs for running AI workloads, even though the machines themselves will not be cheap. The article urges IT buyers to weigh lower token expenses against higher upfront hardware prices when planning upcoming PC purchases.

Veeva has published guidance on building a business case for artificial intelligence, focusing on how organisations can measure the impact of AI initiatives and prepare for wider adoption. The piece addresses a common challenge for companies: demonstrating return on investment and readiness before scaling AI tools across operations.