The Next Web (1 hour ago)
“Blackwall has built something rare: a security company that grows with the internet itself,” said Warda Shaheen, a general partner at AVP.
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Otter.ai has raised $320 million in growth financing from General Catalyst’s Customer Value Fund. The AI meeting notetaker announced the deal on Tuesday. It will use the money for enterprise growth, its go-to-market strategy, international expansion and product development.
Individuals were able to convert some of those funds into more than $400,000 worth of products from Apple and other brands.
New York startup Asymptote Labs has raised a $5.5M seed round led by Tower Research Ventures. It makes Beacon, a free open-source tool that records what AI agents do, and sells a paid platform that can block risky agent actions. The money will go on engineering, hiring and sales.
Court documents show TikTok employees were frustrated with how executives responded to their concerns about risks to children.
Figma said it plans to support as many standards as possible without exposing all of its data
Waymo plans to grow its fleet from about 4,000 robotaxis today to 8,000 by the end of 2026 and 20,000 by the end of 2027, Semafor reported. The push follows a $5B loan this month. Much of the new fleet will be Ojai vans built on Chinese Zeekr cars. Waymo also announced plans for Madrid.
Homebase, which makes scheduling and payroll software for hourly teams, has launched Homebase Assistant. The AI tool finds and contacts staff to cover missed shifts, builds schedules, screens job candidates and flags timecard errors before payroll.
Spotify says it has taken more than 50 million AI-generated “slop” and spam tracks out of its recommendations this year, on top of 75 million spam tracks it has deleted. It found these were the tracks listeners skipped or rejected most.
Inception, the Redwood City AI lab, released Mercury 3 on Monday. It is the newest version of what the company calls a diffusion LLM, a design that differs from the systems behind most chatbots. Most language models are autoregressive. They write one token at a time, each one chosen after the last.
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