Scale AI

Groq Raises $650M, Re-staffs After Nvidia Deal

Groq announced a $650 million funding round on June 22, 2026, roughly six months after Nvidia signed a non-exclusive licensing agreement for Groq’s technology and hired away founder Jonathan Ross, president Sunny Madra, and other employees. Groq did not disclose a new valuation; it was last valued at $6.9 billion after a $750 million round in September 2025. Following the Nvidia transaction — which included Nvidia launching an inference hardware system called the Nvidia Groq 3 LPX — Groq pivoted to its neocloud inference business, which it says operates 13 data centers across multiple regions and serves over five million developers and thousands of AI companies. The company has hired new executives including Doug Wightman as CEO (he stayed on after the Nvidia deal), Alan Rice as COO, Sinclair Schuller as CTO, and Rakesh Malhotra as CPO. Groq continues to market its Language Processing Unit (LPU) technology for inference via cloud and on-prem offerings.

Meta Reassigns Engineers to AI, Triggers Outages and Turnover

A Pragmatic Engineer newsletter (published 2026-06-16) describes a rapid internal shift at Meta that has reorganized thousands of engineers into AI training and labeling work, introduced invasive employee activity logging, and coincided with high‑profile service outages and leadership departures. The piece reports that Meta created an Agent Data Optimisation (ADO) organization of roughly 6,500 people (4–5k engineers), force‑reassigned 30–50% of some core teams to data labeling and RLHF tasks, and introduced keystroke/mouse tracking (later partially dialed back with short pause/exemption controls). The article ties these changes to Meta’s large AI push — including Llama model releases and the Scale AI acquisition — and links understaffed security/infra teams and AI‑centric code practices to an Instagram account‑takeover outage and the subsequent departure of Meta’s CISO. The author frames the events as damaging to Meta’s historical engineering culture and warns of broader industry implications.

Zuckerberg Must Sell Meta’s Muse Spark AI

A year after spending roughly $14.3 billion to acquire part of Scale AI and hire founder Alexandr Wang and several engineers, Meta delivered its proprietary foundation model Muse Spark in April 2026. The move marks a shift away from Meta’s prior open‑weight Llama strategy toward proprietary models meant to plug into Facebook, Instagram, Ray‑Ban Meta glasses and Meta’s standalone AI app. Investors and developers remain unconvinced: Meta faces pressure to demonstrate adoption and direct monetization beyond its advertising business, even as the company reported strong revenue growth and has cut thousands of jobs. Meta says it is testing a Muse Spark API with early partners and plans a release this month. Company leaders, including CEO Mark Zuckerberg, are under pressure to turn the AI investment into paying products and revenue growth.