The ad begins with a video of a burning house (not exactly a heartwarming start) before pivoting to a series of still images. These images include a crowd of people being surveilled by facial recognition, a homeless person sleeping on the street, rows upon rows of tombstones in a cemetery, and what appears to be a group of laborers toiling in a mine where (presumably) raw materials for smartphones are being dug up. In short: Not exactly the family-friendly crowd-pleaser of the year. At the same time, it's also not particularly far afield from the company's past messaging. Anthropic has consistently attempted to depict itself as the ethical foil to other AI companies. This latest marketing stunt ' which leans into criticism of AI as a way to make Anthropic seem aware of (and therefore distinctly worthy of) the responsibility it carries ' would appear to be more of the same. Sam Altman ' the CEO of OpenAI, Anthropic's chief rival ' kicked off the criticism with some pithy trolling. 'i thought this was satire, kept looking for the handle to be spelled c1audeai or something,' Altman posted to X on Monday....

Phia, the shopping startup co-founded by Bill Gates' daughter, Phoebe Gates, and Sophia Kianni, has been accused of a practice known as 'cookie stuffing,' which may have helped the product receive commissions and credit for sales it did not actually generate, according to a Bloomberg investigation. The report has sparked controversy and led to Phia's suspension from Impact.com, a leading affiliate and influencer platform. Other startups have been sued over 'cookie stuffing,' notably Honey, which is owned by PayPal and remains the subject of an ongoing class action lawsuit. Founded in 2025, Phia has raised more than $40 million in funding and has a star-studded list of investors, including Khloe Kardashian and Hailey Bieber. The startup developed an app as a browser extension that works somewhat like Google Flights, but for shopping. Phia helps customers find the lowest-priced items across various retailers as well as discount codes to use when shopping. The company takes a commission on purchases made through the platform through an industry practice known as affiliate marketing....

Lovable, a Swedish vibe-coding startup, is in talks to raise $300 million at a valuation of $13.2 billion ' exactly double the $6.6 billion valuation the company achieved last December, Sifted reported. Menlo Ventures, a firm that announced its latest $3 billion fund last month, is expected to lead the round, according to the report. Lovable's users include founders, individual designers, and salespeople building websites and e-commerce storefronts. The company also sells its vibe-coding tool to large enterprises, including Workday, Asana, and Nvidia. Vibe coding, which allows users to build software simply by describing it, is by far the most popular and lucrative use case for AI. Other high-profile vibe-coding startups include Replit, valued at $9 billion in March, and Factory, a startup that helps enterprises develop AI agents, which raised $150 million at a $1.5 billion valuation in April. Meanwhile, Cursor, which offers vibe coding for developers, was acquired by SpaceX for $60 billion last month....

Imagine sitting in a nice boardroom. The company has just presented what looks like a strong quarter. ARR growth is above plan. Gross margin is healthy. NRR looks good. LTV/CAC is within the range we all like to see. Everyone is almost ready to move on, maybe even go for a drink. Was growth improving because the company found a repeatable sales motion, or because it offered large discounts' Was retention strong because the product became deeply embedded in customer workflows, or because renewals had not yet come under pressure' Was gross margin structurally strong, or were infrastructure costs simply being pushed into the future' LTV/CAC is one of the most important SaaS metrics. A strong ratio usually suggests the company can acquire customers efficiently and retain them profitably. But two companies can both report a 4x LTV/CAC ratio and still be very different businesses. One may reach that ratio because it has strong positioning, low acquisition costs through partner programs, viral marketing, high retention through workflow integrations, and expansion revenue from additional products or services. Another may reach the same reported ratio because it charges higher upfront prices, assumes a longer customer lifetime, or has not yet seen churn show up in the data. On paper, both look efficient. In practice, one may have a healthy acquisition engine while the other may be relying on assumptions that still need to be proven....