Welcome to today’s edition

This week, a landmark California ruling officially labeled social media as "deliberately addictive," signaling a "Tobacco Moment" for Meta and Alphabet that could permanently cool the industry’s valuation.

As the giants face their first real product-liability crisis, the rest of the AI world is tightening the hatches. OpenAI just walked away from a $1B Disney deal to kill its Sora experiment, and Anthropic "accidentally" teased a model so powerful it’s being kept behind high-security doors.

In this edition of Digjitale, we’re tracking the shift from addiction-as-a-service to the era of high-stakes, enterprise-only AI.

A California courts issued a landmark product-liability award against Meta and Alphabet regarding social media's addictive nature. Analysts warn this could be a "Tobacco Moment" for Big Tech, potentially cooling valuation multiples in the long term.

Social media is entering a phase similar to what the tobacco industry faced decades ago: a transition from a high-growth, unregulated darling of the markets to a pariah industry facing massive product-liability risks and inevitable regulation.

The court ruled that these platforms are "deliberately addictive," leading to damages awarded to a youth whose life was "blighted" by social media. Basically enforcing the statement that the Silcion Valley industry built its success on addictive algorithms and that the era of self-regulation is effectively over.

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Anthropic just had a "oops" moment that’s sending shockwaves through the AI industry. A content management error accidentally pulled back the curtain on Claude Mythos, a next-generation model that reportedly makes their current powerhouse, Opus, look like a prototype.

Leaked internal benchmarks suggest Mythos obliterates existing records in software programming, academic reasoning, and cybersecurity.

Because the model is so resource-heavy and powerful, Anthropic isn't planning a public release. Instead, it’s being pitched as a specialized tool for high-stakes virtual asset defense and on-chain data protection.

CEO Dario Amodei is reportedly heading to a closed-door summit in the UK to demo the tech to European executives, pivoting the company toward an "enterprise-first, security-focused" fortress.

Who said AI can't monetize? OpenAI just proved the skeptics wrong. In a mere six weeks, its U.S. advertising pilot has already surpassed $100 million in annualized revenue.

Even though 85% of Free and "Go" tier users are eligible to see ads, OpenAI is only showing them to fewer than 20% daily.

Over 600 advertisers, ranging from small businesses to giants like WPP and Omnicom, have already jumped in.

OpenAI is reportedly charging a $60 CPM (cost per 1,000 views), which is nearly triple Meta’s average rate.

After the U.S. success, the pilot is heading to Australia, Canada, and New Zealand in the coming weeks.

In a move that caught even its closest partners off guard, OpenAI has abruptly pulled the plug on Sora, its highly publicized AI video generator. The fallout was immediate: a landmark $1 billion partnership with Disney is now officially dead.

Reports suggest the Disney team was in a project meeting with OpenAI just 30 minutes before the shutdown was announced on X. The agreement, signed only three months ago, would have brought over 200 iconic characters, from Mickey Mouse to Luke Skywalker, into the Sora ecosystem.

However, OpenAI is shifting resources away from "compute-heavy side quests" like consumer video and refocusing on enterprise tools, AI agents, and robotics. High operational costs and disappointing user retention made Sora a financial liability as OpenAI cleans up its books for a potential IPO later this year.

While the world is distracted by the next LLM, ByteDance (the giant behind TikTok) just dropped DeerFlow 2.0, and it’s a total shift in how we think about AI work. DeerFlow isn’t a chatbot; it’s an open-source "SuperAgent harness" designed to handle complex tasks that take hours, not seconds.

Unlike ChatGPT, which just talks, DeerFlow runs in a secure Docker sandbox. It can read/write files, execute Python code, and run terminal commands in its own isolated environment.

Give it one goal (e.g., "Research the 2026 AI landscape and build me a 10-slide deck"), and it spawns parallel sub-agents. One researches, one analyzes data, one generates charts, and a fourth compiles the slides.

It’s model-agnostic. You can run it fully local via Ollama or connect it to Claude/GPT-4, giving businesses total control over where their data goes.

It doesn't "forget" between sessions. It builds a long-term profile of your preferences, brand voice, and specific project histories.

Thanks for making it to the end! I put my hard work and dedication into every email I send, I hope you are enjoying it.

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See you on the next edition,

Çelik