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Mira Murati Unveils Revolutionary AI Interface Amid Intensifying Industry Rivalry

Breaking Silence: A Strategic Return To The Spotlight

Mira Murati, former Chief Technology Officer of OpenAI and current CEO of Thinking Machines Lab, gave her first major media interview in nearly 18 months during a conversation with Bloomberg in San Francisco. The interview comes as Thinking Machines Lab continues to expand its operations following a period focused on fundraising, hiring and product development.

Redefining The AI Landscape With Interaction Models

The company recently introduced Tinker, an API designed for fine-tuning open-source AI models. Murati also discussed what Thinking Machines Lab describes as “interaction models,” which process continuous streams of audio, text and video at intervals of 200 milliseconds. According to the company, the approach is intended to support more natural interactions by accounting for pauses, interruptions and changes in conversation flow.

Navigating The Turbulence At OpenAI

Murati also reflected on events at OpenAI in November 2023, when CEO Sam Altman was briefly removed by the board and Murati served as interim CEO. She said decisions made during that period were guided by efforts to support the company’s mission and employees. Looking back, Murati noted that clearer communication and a more structured transition process could have improved the situation.

A Call For Structural Governance In AI

Asked about trust and accountability in the AI industry, Murati focused on governance and decision-making structures. She argued that the concentration of influence among a limited number of organisations increases the importance of effective oversight mechanisms. Her comments highlighted broader discussions within the industry about governance, accountability and the long-term development of advanced AI systems.

Industry Competition And The Talent War

Thinking Machines Lab has faced staffing changes as it continues to build its research team. Discussing competition within the sector, Murati said her focus remains on developing products rather than competing directly with rivals. Her remarks come as AI companies continue to compete for talent and investment amid growing demand for advanced AI systems.

Charting A Balanced Future For AI

Murati also addressed the potential impact of AI on work, security and society. Rather than focusing on either optimistic or pessimistic scenarios, she emphasized the importance of maintaining human oversight as AI capabilities continue to advance. According to Murati, long-term outcomes will depend on how organisations and policymakers manage the development and deployment of the technology.

Micron’s Strong Results Highlight Surging AI-Driven Demand For Memory Chips

Micron shares surged in premarket trading on Thursday after the company reported third-quarter results that highlighted strong demand for memory chips driven by continued investment in artificial intelligence infrastructure.

Revenue reached $41.46 billion in the fiscal third quarter, up from $9.3 billion a year earlier and well above LSEG consensus estimates of nearly $36 billion.

The company also forecast revenue of around $50 billion for the current quarter, compared with $11.3 billion in the same period last year. Following the results, Micron shares climbed 16.4% in premarket trading, extending gains over the past year and lifting the company’s market value to about $1.2 trillion.

AI Data Centers Are Tightening The Memory Market

The company’s performance reflects a broader supply-chain shift. As hyperscalers and other large cloud operators pour capital into AI infrastructure, data centers are consuming vast quantities of memory chips. That has reduced availability for smartphones, PCs and other consumer devices, creating a supply imbalance that has lifted memory prices and supercharged Micron’s results.

Micron said Wednesday that it has signed 16 long-term agreements with customers spanning data centers and automakers, locking in sales for three to five years and generating expected financial commitments of $22 billion. For a cyclical industry long exposed to boom-and-bust demand swings, that kind of visibility is especially valuable.

RBC Capital Markets analysts estimated that about 40% of Micron’s revenue now comes from long-term contracts with minimum pricing built in. That structure should help cushion margins if demand softens over time, the analysts said, while also reducing the company’s exposure to abrupt pricing declines.

“Our base case is for current upcycle to continue through 2027, and SCAs give us added conviction regarding sustainability,” RBC analysts wrote, adding that they raised estimates, lifted their price target and reiterated an Outperform rating.

Tech Stocks Catch A Bid

Micron’s results also lifted sentiment across the semiconductor sector following a broader sell-off earlier in the week. In premarket trading, Qualcomm gained 12%, Intel rose nearly 6%, AMD advanced 3.6%, and Nvidia added 1.5%.

“U.S. equities have recovered some ground as Micron’s earnings have provided fresh reassurance that the AI investment cycle remains firmly intact,” said Capital.com senior market analyst Daniela Hathorn.

She added that continued demand from data centres and AI infrastructure customers suggests capital spending on artificial intelligence remains strong, helping restore confidence across semiconductor stocks after recent market weakness.

The latest results also highlight the increasingly important role memory chips are playing in the AI supply chain, alongside processors and software, as investment in artificial intelligence infrastructure continues to accelerate.

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