
Tech Billionaires Need a Break From Their Reality-Distortion Fields
Tech billionaires are so deep in their own reality-distortion fields that their perception of the world can get dangerously warped. That's the conclusion I drew from reading Sarah Wynn-Williams' astonishing memoir about her time running global policy at Meta Platforms Inc. The company has sought to block its publication, offering a case study in the Streisand effect and vaulting Careless People to the top of the charts on Amazon.com Inc.
The book chimed with what I previously heard from former Meta executives about the company's hypocrisy, its obsessive drive for growth and Chief Executive Officer Mark Zuckerberg's fixation on developing a fanbase. But Wynn-Williams' vantage point in his inner orbit and that of and former Chief Operating Officer Sheryl Sandberg, detailing the power they wielded, also highlighted a dire need for limits to some tech leadership tenures. Wynn-Williams doesn't offer answers, but here's one: No single person should lead a platform for billions of users for more than a decade, never mind more than 20 years as Zuckerberg has done. Over the years and amid a string of political leaders entering and exiting power, he has been a constant presence, a monarch in a hoodie. Perhaps he needs a break just like them.

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
38 minutes ago
- Yahoo
Meta Looks to Expand AI Development by Investing in Scale AI
This story was originally published on Social Media Today. To receive daily news and insights, subscribe to our free daily Social Media Today newsletter. Meta's reportedly looking to expand its AI infrastructure even further, by investing in AI startup Scale AI, which specializes in data labeling to facilitate AI model expansion. According to Bloomberg, Meta is in advanced talks to potentially invest up to $10 billion into the company, which Meta already works with as part of its expanded AI development. Originally founded in 2016, Scale AI has become a key provider of qualified data, which can help to improve AI system training significantly. Scale AI ensures that data sources are accurately labeled and annotated, essentially making sense of data input streams in order to improve the training process. According to research, this can significantly reduce AI training time, by feeding more valuable data sources to AI companies, reducing manual load on their part. And as noted, Scale AI already works with several major AI projects, including OpenAI and Meta, to assist in their current AI training process. Meta previously invested $1 billion in Scale's Series F funding round. An expanded partnership could give Zuck and Co. a significant advantage, by ensuring that it has exclusive access to Scale's evolving data classification tools, which could help to improve Meta's AI models significantly. This comes as Meta is also working to grow its data processing capacity, with the development of a 2 gigawatt data center, among various major infrastructure elements. Meta's also currently holds around 350,000 Nvidia H100 chips, which power its AI projects (both OpenAI and xAI have around 300k H100s), while it's also developing its own hardware for expanded AI development. Essentially, Meta's pushing hard to become the leader in the global AI race. And with expanded investment in key infrastructure tools like Scale AI, it's well on the way to leading the market on potential AI development. That could have major implications for Facebook, Instagram, and Meta's broader AI tools, including in VR environments and in wearables, moving forward.


Bloomberg
5 hours ago
- Bloomberg
Meta Set to Throw Billions at Startup That Leads AI Data Market
Three months after the Chinese artificial intelligence developer DeepSeek upended the tech world with a model that rivaled America's best, a 28-year-old AI executive named Alexandr Wang came to Capitol Hill to tell policymakers what they needed to do to maintain US dominance. The US, Wang said at the April hearing, needs to establish a 'national AI data reserve,' supply enough power for data centers and avoid an onerous patchwork of state-level rules. Lawmakers welcomed his feedback. 'It's good to see you again here in Washington,' Republican Representative Neal Dunn of Florida said. 'You're becoming a regular up here.' Wang, the chief executive officer of Scale AI, may not be a household name in the same way OpenAI's Sam Altman has become. But he and his company have gained significant influence in tech and policy circles in recent years. Scale uses an army of contractors to label the data that tech firms such as Meta Platforms Inc. and OpenAI use to train and improve their AI models, and helps companies make custom AI applications. Increasingly, it's enlisting PhDs, nurses and other experts with advanced degrees to help develop more sophisticated models, according to a person familiar with the matter. Put simply: The three pillars of AI are chips, talent and data. And Scale is a dominant player in the last of those. Now, the startup's stature is set to grow even more. Meta is in talks to make a multibillion-dollar investment in Scale, Bloomberg News reported over the weekend. The financing may exceed $10 billion in value, making it one of the largest private company funding events of all time. The startup was valued at about $14 billion in 2024, as part of a funding round that included backing from Meta. In many ways, Scale's rise mirrors that of OpenAI. Both companies were founded roughly a decade ago and bet that the industry was then on the cusp of what Wang called an ' inflection point of AI. ' Their CEOs, who are friends and briefly lived together, are both adept networkers and have served as faces of the AI sector before Congress. And OpenAI, too, has been on the receiving end of an 11-figure investment from a large tech firm. Scale's trajectory has shaped, and been shaped by, the AI boom that OpenAI unleashed. In its early years, Scale focused more on labeling images of cars, traffic lights and street signs to help train the models used to build self-driving cars. But it has since helped to annotate and curate the massive amounts of text data needed to build the so-called large language models that power chatbots like ChatGPT. These models learn by drawing patterns from the data and their respective labels. At times, that work has made Scale a lightning rod for criticisms about the unseen workforce in places such as Kenya and the Philippines that supports AI development. Scale has faced scrutiny for relying on thousands of contractors overseas who were paid relatively little to weed through reams of online data, with some saying they have suffered psychological trauma from the content they're asked to review. In a 2019 interview with Bloomberg, Wang said the company's contract workers earn 'good' pay — 'in the 60th to 70th percentile of wages in their geography.'
Yahoo
7 hours ago
- Yahoo
Meta reportedly in talks to invest billions of dollars in Scale AI
Meta is discussing a multi-billion dollar investment in Scale AI, according to Bloomberg. In fact, the deal value could reportedly exceed $10 billion, making it the largest external AI investment for the Facebook parent company and one of the largest funding events ever for a private company. Scale AI (whose CEO Alexandr Wang is pictured above) provides data labeling services to companies such as Microsoft and OpenAI to help them train their AI models. Much of that labeling work is done by contractors — in fact, the Department of Labor recently dropped its investigation into whether the company was misclassifying and underpaying employees. According to Bloomberg, the company saw $870 million in revenue last year and expects to bring in $2 billion this year. Meta was already an investor in Scale AI's $1 billion Series F, which valued the company at $13.8 billion. Scale AI also built Defense Llama, a large language model designed for military use, on top of Meta's Llama 3.