Yazılar

Meta’s TBD Lab: Small, Talent-Dense Team Driving Next-Gen AI Models

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Meta’s TBD Lab, a research group within its Superintelligence Labs, consists of only “a few dozen” researchers and engineers, CFO Susan Li told investors at the Goldman Sachs Communacopia + Technology conference on Tuesday.

Key Details

  • Team size: “A few dozen” researchers and engineers, highly talent-dense.

  • Focus: Developing next-generation foundation models at the AI frontier over the next 1–2 years.

  • Name origin: “TBD” began as a placeholder (“to be determined”) but stuck, reflecting the exploratory nature of the group.

Meta’s AI Reorganization

  • Earlier this year, Meta split its AI efforts under Superintelligence Labs into four groups:

    1. TBD Lab – new, frontier-focused models.

    2. Products team – including the Meta AI assistant.

    3. Infrastructure team – scaling compute and systems.

    4. FAIR (Fundamental AI Research) – long-term research.

  • This restructuring followed senior staff exits and lukewarm reception for Meta’s Llama 4 model.

Leadership & Talent Push

  • CEO Mark Zuckerberg has been personally driving talent acquisition, reportedly reaching out to startup founders and top researchers directly — even via WhatsApp — with million-dollar offers.

  • The company’s AI ambitions are positioned as a long-term bet, combining frontier R&D, consumer AI products, and infrastructure scaling.

Strategic Significance

  • The compact size of TBD Lab emphasizes high-leverage innovation rather than large-scale manpower.

  • Its work will likely feed into both open-source and proprietary models, shaping Meta’s response to OpenAI, Google DeepMind, and Anthropic in the race for AI dominance.

  • If successful, TBD Lab could be key in restoring Meta’s competitive credibility in foundation models.

Apple Unveils Major Software Upgrades and New AI Features at WWDC

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At its annual Worldwide Developers Conference (WWDC) on Monday, Apple revealed extensive updates across its device operating systems, introducing a fresh design language, a revamped naming system, and new AI-powered capabilities under its Apple Intelligence suite.

Liquid Glass Design
Apple introduced a new “Liquid Glass” design language that brings translucent, glass-like visuals to app interfaces, inspired by the visionOS on its Vision Pro augmented reality headset. The design adapts to light and dark modes and features real-time dynamic reactions to movement. Elements like buttons, sliders, tab bars, sidebars, toolbars, and navigation will be redesigned. Updated developer APIs were also released to help app makers prepare for the new look rolling out later this year.

Operating Systems and Naming Convention
Instead of continuing the traditional numeric sequence (e.g., iOS 19 after iOS 18), Apple announced that future iOS versions will be named after their release year—similar to how car models are named. This year’s release will be iOS 26. The update includes significant visual changes and new features:

  • The Phone app adds call screening to answer or hold calls automatically.

  • Messages supports customizable chat backgrounds.

  • Xcode, Apple’s developer tool, will now include generative AI to assist with coding, testing, and debugging, also allowing integration of external models like ChatGPT.

Apple Intelligence Enhancements
New AI-powered features include Live Translation, which uses on-device AI models to translate conversations in real time across messages, calls, and FaceTime. Apple Pay integrates with Apple Intelligence to track orders even outside of Apple Pay transactions. The Image Playground app gains AI-assisted image generation powered by OpenAI’s ChatGPT.

Apple will open its on-device foundational AI models to developers through a new Foundation Models framework, enabling creation of privacy-focused, offline-capable intelligent apps.

Visual Intelligence Features
A new Visual Intelligence tool will allow iPhone users to explore more about what’s on their screens. It can search platforms like Google and Etsy for visually similar images or products, and suggest calendar entries when viewing events. This feature is accessible using the same button combination as taking a screenshot.

AI Startups Drive VC Funding Resurgence, Capturing Record U.S. Investment in 2024

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Artificial intelligence startups have played a pivotal role in the recovery of U.S. venture capital funding, with total capital raised in 2024 increasing by nearly 30% year-on-year, according to PitchBook data released on Tuesday. AI startups alone secured a record 46.4% of the total $209 billion raised last year, compared to less than 10% a decade ago.

The surge in AI investments has been largely fueled by the explosive success of OpenAI’s ChatGPT since late 2022, which has sparked renewed interest and optimism in the sector. This enthusiasm has driven venture capital funding to bounce back from earlier market lows, particularly as companies sought to establish accurate valuations in a post-zero-interest-rate environment.

AI has captured investors’ attention across various sectors, from foundational models to diverse applications. Notable funding rounds include $6.6 billion for OpenAI and $12 billion for Elon Musk’s xAI, reflecting the immense investor optimism surrounding the potential of AI technology. Despite the hype, many of these AI startups, which are still in their early stages and yet to become profitable, face the challenge of meeting high business milestones to sustain investor enthusiasm.

James Cross, managing director at Franklin Venture Partners, highlighted the uncertainty surrounding the future of funding for foundation model firms, which require substantial capital for computing power and talent. While AI companies have enjoyed a rich funding environment, their ability to maintain access to significant capital will depend on achieving major business milestones this year.

In 2024, venture capital funds raised approximately $76 billion, the lowest figure in five years. Major venture firms, including Andreessen Horowitz and General Catalyst, claimed large portions of this capital. Despite these positive signs, exits remain challenging. The total exit value in 2024 was $149.2 billion, which, though higher than the seven-year low of $120 billion in 2023, is still a fraction of 2021’s record exit value of $841.5 billion.

The IPO market has also struggled to rebound as quickly as anticipated, although some year-end listings, such as ServiceTitan (TTAN.O), have rekindled optimism. With the upcoming U.S. presidential administration expected to bring tech-friendly policies, experts foresee a potential resurgence in mergers and acquisitions (M&A) and IPO activity, especially in the second half of 2025.