Meta released Muse Spark 1.3, its most powerful AI model to date, which developers can access Wednesday. The company says it's narrowing the gap with leading competitors like OpenAI and Google.

• Developers get paid access to Muse Spark 1.3 starting Wednesday
• Meta plans to integrate the model into Instagram, Facebook, and Meta AI
• Meta's chief AI officer claims the model's capabilities are now closer to top competitors

IBM’s first-quarter revenue growth decelerated, driven by weakness in its software segment. Investors fear AI tools could automate and reduce demand for routine software services, sending IBM shares down 6.5% after hours. On the earnings call, CEO Arvind Krishna said regional disruptions, including Middle East tensions, had minimal impact on results.

• IBM shares fell 6.5% after hours following Q1 revenue growth that decelerated and missed expectations, driven by software segment weakness.
• Investors worry AI tools that automate routine corporate tasks could cut into IBM's traditional software sales, amid sluggish license renewals and slower cloud growth.
• The detailed summary's claim about Krishna citing "strongest growth in decades" in the Middle East and Strait of Hormuz resilience contradicts the top summary's statement that regional tensions had minimal impact—an inconsistency in the article itself.

In Robot-Proof, neuroscientist Vivienne Ming argues AI will “deprofessionalize” law, medicine and finance, reducing high-skill roles to assembly-line tasks. She calls for a shift from knowledge transmission to building “meta-learning” traits—cognitive flexibility, empathy, resilience and divergent thinking—through project-based education and capacity-driven hiring. Drawing on proprietary HR data, she proposes US-centric reforms and data trusts but offers little on collaborating with frontline educators and clinicians.

• AI will "deprofessionalize" law, medicine and finance by breaking high-skill work into assembly-line tasks, not just automating low-skill jobs
• Ming argues education and hiring should shift from knowledge transmission to measuring capacities like resilience and creative problem-solving via game-style assessments, citing pilots in finance hiring and adaptive schooling
• Critique: her proposals lean on proprietary HR data and US-centric reforms, with little attention to input from frontline educators and clinicians

TSMC expects a 50% jump in net profit to T$542.6 billion for Q1, driven by booming demand for its 3-nanometre AI chips and advanced packaging technology. First-quarter revenue rose 35% year-on-year, underscoring capacity constraints as Nvidia and Apple ramp up orders. The company will outline Q2 guidance and capital spending plans on its April 13 earnings call.

• TSMC expects Q1 net profit to jump ~50% to NT$542.6 billion, a fourth straight record quarter, fueled by 3nm AI chip and advanced packaging demand outstripping capacity.
• Q1 revenue rose 35% year-on-year, and Macquarie forecasts even stronger Q2 growth on sustained AI demand.
• TSMC's market value has hit ~$1.6 trillion, nearly double Samsung's, with shares up 28% this year versus a 22% rise in Taiwan's broader market.
• Investors are watching whether TSMC will maintain or raise its $165 billion 2026 capex plan (including Arizona fabs) amid geopolitical risks to helium/neon supply, though diversified sourcing should limit near-term impact.

This article discusses Dr. Fei-Fei Li's new book, "The Worlds I See," which explores her journey in AI and her vision for keeping humanity central in technological advancements. It highlights her background, her role in creating ImageNet, and the potential risks and rewards of AI.

• Fei-Fei Li's memoir "The Worlds I See" was named one of the best books of 2023 by Barack Obama and the Financial Times
• Li, creator of ImageNet, argues for keeping humanity central as AI advances
• Her immigrant upbringing in the US, marked by financial hardship, shaped her path from physics into pioneering AI work
• The book combines memoir and scientific explanation to make the case for ethical consideration in AI development

OpenAI raised $122 billion in its latest funding round, marking the largest in Silicon Valley's history. The investment, which values the company at $852 billion, includes major contributions from Amazon, Nvidia, and SoftBank, and expands access for individual investors through ARK Invest's funds.

• OpenAI raised $122 billion at an $852 billion valuation—the largest funding round in Silicon Valley history, with Amazon, Nvidia, and SoftBank contributing $110 billion combined.
• Retail investors can now get exposure through ARK Invest ETFs (3% allocation in its $6 billion Innovation ETF) plus over $3 billion raised from wealthy individuals via banks.
• OpenAI shares are also showing up in mutual funds/ETFs from T. Rowe Price and Fidelity, signaling broadening mainstream investor access ahead of a possible IPO by year-end.

Google has launched its powerful Gemini AI model, which has outperformed competitors, including OpenAI's ChatGPT, to become the leading AI chatbot. The company's extensive investment in research and hardware development has enabled it to protect its search business amidst the growing popularity of chatbots.

• Google's Gemini model has overtaken ChatGPT to become the top-ranked AI chatbot
• Years of heavy investment in in-house AI research and custom hardware (TPUs) let Google catch up after appearing to lag OpenAI
• That infrastructure edge is also helping Google defend its core search business against the threat posed by chatbots

Computer scientist Yann LeCun emphasizes that true intelligence is fundamentally linked to the ability to learn. He discusses the implications of this understanding for artificial intelligence and its development.

• Intelligence is fundamentally rooted in the capacity to learn rather than fixed, pre-programmed knowledge.
• LeCun's perspective challenges purely rule-based approaches to building artificial intelligence.
• The framing suggests learning ability, not just information storage, should guide AI development priorities.

OpenAI has transitioned its for-profit subsidiary into a public-benefit corporation, allowing Microsoft to acquire a 27% stake and pushing its valuation above $4 trillion. This change aims to facilitate fundraising and talent acquisition while addressing concerns over OpenAI's commitment to its nonprofit mission amid ongoing litigation.

• OpenAI's for-profit subsidiary restructured into a public-benefit corporation, giving Microsoft a 27% stake
• The restructuring pushed Microsoft's valuation above $4 trillion
• The move is meant to ease fundraising and talent recruitment while facing litigation over whether it betrays OpenAI's nonprofit mission