Scale AI
PulseAugur coverage of Scale AI — every cluster mentioning Scale AI across labs, papers, and developer communities, ranked by signal.
- parent of Remotasks 100%
- employed by Alexandr Wang 95%
- founded Alexandr Wang 95%
- founded by Alexandr Wang 90%
- developed by Muse Spark 1.2 90%
- founded by Muse Spark 70%
- employed by Muse Spark 70%
- competes with Muse Spark 1.1 70%
- affiliated with Muse Spark 1.2 60%
- invested in Alexandr Wang 60%
- affiliated with Fei-Fei Li 50%
- competes with SpaceXAI 50%
- 2026-05-14 funding Meta acquired a 49% stake in Scale AI for $14 billion.
- 2026-05-06 funding Meta acquired a 49% stake in Scale AI for $14 billion.
9 day(s) with sentiment data
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New algorithm learns worker reliability and item rewards from comparisons
Researchers have developed a new algorithm to learn item rewards and worker reliability simultaneously from pairwise comparisons, particularly in crowdsourcing contexts. The proposed method utilizes a Boltzmann-rational…
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Spin Master cofounder: 20s is the prime time to start a business
Ronnen Harary, cofounder of the toy giant Spin Master, advocates for starting businesses in one's 20s, citing the abundance of energy and lack of perceived competition during that age. He believes that starting earlier …
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Meta pivots AI strategy to open-weight models, challenging rivals
Meta is reportedly rebooting its AI strategy with a focus on open-weight models, aiming to compete with other major tech players like OpenAI and Anthropic. This new approach, which includes models like Muse Spark 1.2 an…
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Meta launches open-source Muse Glimmer AI models, champions US development
Meta has launched its new family of open-source AI models, Muse Glimmer, designed to run on personal devices. This release is accompanied by a strong advocacy from Mark Zuckerberg for American open-source AI development…
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Meta to release open-weight Muse Spark 1.2 and Muse Glimmer models
Meta is preparing to release two new open-weight models: Muse Spark 1.2 and Muse Glimmer. Muse Spark 1.2 is described as a foundation model, while Muse Glimmer is a 30 billion parameter agentic model capable of running …
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Humans miss 1 in 3 AI agent threats in game, especially disguised commands · 7 sources tracked
A study analyzing over 40,000 game runs where players acted as human-in-the-loop for AI agents revealed that humans missed approximately one in three threats. The game simulated scenarios where AI agents requested comma…
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Meta AI launches Muse Code coding agent with Muse Spark 1.2 model
Meta AI has launched Muse Code, a beta terminal-based coding agent, and its underlying model, Muse Spark 1.2. This new tool is designed for long-horizon software engineering tasks, capable of planning, implementing, and…
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Meta's AI gamble strains finances amid restructuring and investor pressure
Meta is facing significant financial pressure due to its massive AI investments, with net profit and operating profit declining and free cash flow drastically reduced. The company's AI spending is projected to reach $14…
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Fei-Fei Li students launch global embodied human data standard, Guanglun Intelligence joins
A new international standard for embodied human data, called EgoVerse, has been launched by researchers, including former students of Fei-Fei Li. This initiative aims to create a collaborative infrastructure for robot l…
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Alexandr Wang joins Meta Superintelligence Labs, advocates for small teams
Alexandr Wang, formerly of Scale AI, has joined Meta Superintelligence Labs and shared his perspective on team dynamics. He argues that smaller, agile teams are more effective than larger, bureaucratic ones. Wang's insi…
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AI Engineer Interviews Shift to System Design Challenges
AI engineering interviews are evolving beyond basic RAG knowledge to focus on system design challenges. Candidates are now expected to demonstrate a deeper understanding of how to handle complex scenarios, such as when …
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AI micro-tasking platforms pay low wages, research shows · 1 source tracked
Research indicates that micro-job platforms like Amazon Mechanical Turk offer significantly lower wages than advertised, with median hourly earnings falling between $1.77 and $2.83 after accounting for time spent search…
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Scale AI CEO Alexandr Wang favors X over Meta's Threads
Alexandr Wang, CEO of Scale AI, has been significantly more active on X (formerly Twitter) than on Meta's Threads over the past 30 days. He posted over 25 times on X while only posting twice on Threads. This observation…
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Meta launches Muse Spark 1.1 agentic coding model
Meta has launched Muse Spark 1.1, an agentic and coding model designed to plan and execute tasks across multiple applications and services. This new model is positioned as competitive with leading AI systems like GPT-5.…
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OpenAI retracts SWE-Bench Pro recommendation due to 30% task failure rate
OpenAI has retracted its recommendation for SWE-Bench Pro, a benchmark designed to evaluate AI coding agents. An internal audit by OpenAI's research team revealed that approximately 30% of the benchmark's tasks are flaw…
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Meta launches Muse Spark 1.1 AI model, competes with OpenAI and Anthropic
Meta has launched Muse Spark 1.1, an updated AI model designed for agentic coding tasks, aiming to compete with offerings from OpenAI and Anthropic. The company claims Muse Spark 1.1 surpasses previous versions of compe…
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OpenAI launches GPT-5.6, Meta abandons Llama for Muse Spark, AI coding agents evolve · 1 source tracked
OpenAI has launched its new GPT-5.6 model family, named Sol, Terra, and Luna, with Sol setting a new benchmark in AI performance. Meta has pivoted from its open-source Llama models to a proprietary system called Muse Sp…
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Google, NVIDIA, Scale AI Partner on Data Strategy for Physical AI
Google, NVIDIA, and Scale AI are collaborating on data strategies for the emerging era of humanoid and physical AI. This partnership aims to address the data needs for advanced AI systems, particularly those involving p…
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AI leaderboard Arena hits $100M revenue milestone
Arena, a company known for its AI model performance leaderboard, has achieved $100 million in annualized run-rate revenue just eight months after launching its commercial services. The platform, which originated as a re…
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Physical AI faces data bottleneck despite massive funding
The development of physical AI, which powers robots, is facing a significant bottleneck due to the scarcity and high cost of collecting real-world training data. Unlike language models that can scrape vast amounts of te…