Tech
Microsoft Unveils In-House AI Models and Quantum Breakthrough as Tech Giant Moves to Reduce External Dependence
Microsoft has taken a major step toward reducing its reliance on external artificial intelligence partners, unveiling seven in-house AI models at its Build 2026 developer conference in San Francisco. The move signals a strategic shift as the company seeks greater control over its AI stack while its key investee firms prepare for high-profile public listings.
Satya Nadella, Microsoft’s chief executive, told attendees that the industry is entering a new phase in which companies must do more than simply consume frontier AI systems. “We believe the time has come for every company to move from consuming a frontier model to fully participating at the frontier,” he said.
At the centre of the announcement is MAI-Thinking-1, Microsoft’s first reasoning model built entirely from scratch using commercially licensed data and without distillation from external systems. The model includes 35 billion active parameters and a 256,000-token context window, designed for complex reasoning tasks, coding, and long-form instruction handling.
Microsoft also introduced MAI-Code-1-Flash, a coding-focused model integrated into GitHub Copilot and Visual Studio Code, aimed at converting natural language prompts into functional software code. The company said these tools will run on Azure infrastructure, allowing it to reduce costs currently paid to external model providers and potentially offer cheaper services to developers.
Mustafa Suleyman, chief executive of Microsoft AI, said internal testing suggested strong performance gains. After optimisation for consulting firm McKinsey, he said the new models outperformed OpenAI’s GPT-5.5 in quality while offering what Microsoft estimates as up to ten times better cost efficiency, based on scaled public pricing comparisons.
In independent evaluations conducted by Surge, Microsoft’s third-party rating partner, MAI-Thinking-1 was reportedly preferred over Anthropic’s Claude Sonnet 4.6, while matching Claude Opus 4.6 on coding benchmarks.
Alongside its AI announcements, Microsoft revealed progress in quantum computing. The company’s new Majorana 2 chip is said to be 1,000 times more stable than its predecessor, extending qubit lifespan from milliseconds to an average of 20 seconds. While still far from practical deployment, Microsoft believes this marks a meaningful step toward scalable quantum machines.
Zulfi Alam, corporate vice president of Microsoft Quantum, said the company aims to deliver a commercially useful quantum system by 2029, though current prototypes contain only 12 qubits, far short of the millions required for full-scale systems.
The announcements come as Microsoft’s AI partners move toward public markets. Anthropic has filed confidentially for an IPO following a major funding round valuing it at $965 billion, while OpenAI is also preparing a filing. Microsoft has invested heavily in both companies, committing billions of dollars while integrating their models into Azure.
The new direction suggests Microsoft is positioning itself to compete directly with its own partners, as the race for dominance in advanced AI and next-generation computing intensifies.
Tech
John Ternus Takes Over as Apple CEO After 15-Year Tim Cook Era
Apple has appointed John Ternus as its new chief executive, ending Tim Cook’s 15-year tenure at the top of the technology company and beginning a new chapter as Apple faces mounting competition in artificial intelligence.
Ternus formally took over from Cook on Tuesday, inheriting a company valued at about $4.6 trillion. When Cook became CEO in 2011, Apple was worth less than $350 billion. Under his leadership, the company expanded its product portfolio, grew its services business and became one of the world’s most valuable companies.
Cook will remain with Apple as executive chairman, allowing the company to retain his experience and relationships during the leadership transition.
The change comes at a crucial moment for Apple. Artificial intelligence is reshaping the technology industry, creating pressure on major companies to develop powerful AI systems and integrate them into consumer products.
Apple has faced criticism over the pace of its AI development. The company began promoting a new generation of AI features nearly two years ago, but several promised improvements were delayed as Apple worked to develop the technology.
The company has since announced further AI upgrades, including improvements to its Siri voice assistant. Apple has stressed privacy and practical uses as it seeks to narrow the gap with competitors that have moved more aggressively into generative AI.
Ternus, a hardware engineering specialist, will now have to address challenges that extend well beyond product design. His responsibilities will include strengthening Apple’s position in AI while managing supply chain risks and complex international relationships.
Relations with US President Donald Trump are expected to be another important issue. Trump publicly praised Cook on Tuesday, highlighting the relationship the former CEO developed with the administration.
Cook spent years managing the impact of US trade policies and tariffs on Apple, particularly measures affecting Asian countries where many components are produced and assembled.
His continued role as executive chairman is expected to help Apple maintain important contacts as the company deals with trade policy and other political pressures.
Ternus is not new to Apple’s most important products. During Cook’s tenure, he worked on major devices and technologies including the Apple Watch, AirPods and Apple Vision Pro.
His background in hardware has made him a central figure in Apple’s product development and positioned him as one of the company’s most prominent engineering leaders.
The new CEO will make his first major public appearance in the role next week when Apple unveils its latest iPhone at the company’s headquarters in Cupertino, California.
The launch will offer an early test of how Ternus presents himself to consumers and investors while taking responsibility for a company entering a period of significant technological and competitive change.
Tech
Taiwan’s AI Stock Boom Fuels Borrowing Frenzy as Investors Chase Big Gains
Taiwan’s booming stock market has encouraged a growing number of investors to borrow heavily to buy shares, with some taking out bank loans or remortgaging their homes in hopes of profiting from the island’s AI-driven technology rally.
The Taiwan stock market surged 59 per cent during the first half of the year, driven largely by strong demand for artificial intelligence hardware produced by companies including Taiwan Semiconductor Manufacturing Co. The sharp rise has attracted investors who believe technology stocks still have room to climb.
Real-estate worker Lucas Chen, 34, borrowed NT$5 million, about €136,000, to increase his stock investments. Within six months, his technology holdings had risen by almost 70 per cent, increasing the value of his portfolio by roughly NT$20 million, or €544,000, by late June.
About half of Chen’s investments were in TSMC, which represented around 45 per cent of the Taiwan Stock Exchange at the end of 2025. He used his Tesla as collateral for two of three bank loans.
Chen, who has traded stocks for a decade, said he believed borrowing could be manageable if investors carefully calculated the risks.
However, the rapid expansion of debt-funded trading has also brought significant losses. Financial influencer Yeh Yu-shuo, whose Facebook investment group has hundreds of thousands of members, said some users had reported severe emotional distress after losing money.
One anonymous investor said he had put NT$10 million into the market, including NT$6 million borrowed through a mortgage, and had lost almost half of the amount. The investor described waking during the night in panic and said he had sought professional help.
The risks have grown as the technology rally became more volatile. Global markets reached record levels earlier this year as companies increased spending on AI data centres, hardware and software. The rally weakened in July as investors questioned whether the huge investments would generate sufficient returns and worried that technology stocks had become too expensive.
Taiwanese investors have increasingly turned to banks and brokers to finance their purchases. Margin trading, which allows investors to buy securities with borrowed money, rose nearly 20 per cent during the first half of the year compared with the previous six months, according to Taiwan Stock Exchange data.
Norman Yin, a money and banking professor at National Chengchi University, said younger investors had been buying stocks at an unusually rapid pace. He said banks were willing to lend as deposits remained high and property prices had been relatively stagnant.
Authorities have warned investors about the dangers of taking on excessive debt. Taiwan’s Financial Supervisory Commission said overall credit risk remained under control, while the stock exchange has published social media videos warning younger investors about the consequences of failing to repay loans.
The market has also shown how quickly gains can disappear. Taiwan’s benchmark index fell about 16 per cent between its June 22 record and July 30 before recovering most of the losses.
Despite the volatility, many investors remain optimistic. Chen said the market represented a major opportunity for his generation, while Yeh said he remained confident as long as TSMC continued to perform strongly.
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