Perplexity Offers $34.5B to Buy Chrome as Antitrust Heat Rises on Google

✨TodayOnAI’s Daily Drop

• Perplexity Offers $34.5B to Buy Chrome as Antitrust Heat Rises on Google

• Anthropic Expands Claude's Context to 1M Tokens, Outpacing GPT-5

• GPT-5’s “Unified” Model Strategy Falters as OpenAI Walks It Back

• 💬 Let’s Fix This Prompt

• 🧰 Today’s AI Toolbox Pick

Perplexity

Perplexity Offers $34.5B to Buy Chrome as Antitrust Heat Rises on Google

🚀 TodayOnAI Insight: Perplexity has made a bold $34.5 billion cash offer to acquire Google Chrome, aiming to take over the world’s most-used browser amid mounting antitrust pressure on Google. The unsolicited bid underscores the growing ambitions of AI-first challengers—and could reshape the search and browser landscape if regulators force a sale.

🔍 Key Takeaways:

• The Offer: Perplexity confirmed a $34.5B cash offer to buy Chrome from Google, including $3B pledged to support the open-source Chromium engine.

• Terms: The company promises to keep Google as the default search engine and avoid changing user settings post-acquisition.

• Regulatory Context: The bid follows a DOJ push to break up Google's search monopoly, with Chrome divestiture among proposed remedies.

• Valuation Gap: Perplexity is valued at $18B and has raised $1.5B—far below the offer price—suggesting it would need major financial backing.

• Market Impact: Chrome holds 68% of global browser share; other potential buyers may surface if the court mandates a sale.

💡 Why This Stands Out: Perplexity’s move is more than symbolic—it’s a direct challenge to Big Tech dominance, made possible by regulatory disruption. If Chrome is pried from Google, the browser’s future could define control of search for the next decade. Will regulators really force Google to let go of its most powerful distribution channel?

Anthropic

Anthropic Expands Claude's Context to 1M Tokens, Outpacing GPT-5

🚀 TodayOnAI Insight: Anthropic has expanded Claude Sonnet 4’s context window to 1 million tokens—five times its previous limit—in a strategic push to attract developers and defend its lead in the enterprise AI coding market.

🔍 Key Takeaways:

• Claude Sonnet 4 now supports 1M-token prompts, enabling processing of ~750,000 words or 75,000 lines of code—far exceeding OpenAI GPT-5’s 400K limit.

• The upgrade is live via Anthropic’s API and available through Amazon Bedrock and Google Cloud’s Vertex AI platforms.

• New pricing tiers apply for long prompts: $6 per million input tokens and $22.50 per million output tokens beyond 200K tokens.

• Claude remains a top choice for dev platforms like GitHub Copilot and Cursor, but faces fresh competition from GPT-5's improved coding and pricing.

• Anthropic emphasizes “effective context,” hinting at better real-world use of large prompts, though technical details remain undisclosed.

💡 Why This Stands Out: This upgrade reinforces Anthropic’s enterprise-first strategy as context size becomes a competitive differentiator for AI coding platforms. With tools increasingly handling end-to-end software tasks, the ability to “see everything” is crucial. But as rivals like Meta and Google push even larger windows, the industry faces a key question: how much context is truly useful—and at what cost?

OPENAI

GPT-5’s “Unified” Model Strategy Falters as OpenAI Walks It Back

🚀 TodayOnAI Insight: OpenAI’s vision of GPT-5 as a unified, self-routing AI model is faltering. Despite plans to simplify the ChatGPT experience, the model picker is now more complex than ever—offering multiple GPT-5 modes and restoring access to deprecated models in response to user backlash.

🔍 Key Takeaways:

• GPT-5 launches with three selectable modes: Auto, Fast, and Thinking, rather than a single self-routing interface.

• Model picker expands, not contracts: GPT-4o, GPT-4.1, and o3 have returned for paid users after initial deprecation.

• Routing underwhelmed at launch: Technical issues and unclear performance led to user frustration and Reddit AMAs.

• Personality updates incoming: GPT-5 will adopt a “warmer” tone, with OpenAI aiming for better per-user customization.

• User attachment emerges as a factor: OpenAI underestimated emotional and practical preferences for specific AI models.

💡 Why This Stands Out: OpenAI’s attempt to streamline the ChatGPT experience with GPT-5 has instead exposed just how personal AI preferences have become. From performance to personality, users are demanding control—suggesting that “one size fits all” may not be viable for next-gen models. As model loyalty and emotional resonance deepen, can AI platforms balance customization with coherence?

✨ See how a simple prompt upgrade can unlock better AI output.

🔹 The Original Prompt

At first glance, this prompt might seem okay. But it's too broad — and that limits the quality of AI-generated results. Let’s improve it using prompt engineering best practices.

✅ The Improved Prompt

💡 Why It's Better

• Specifies the target audience (buyers, sellers, investors)

• Adds content themes (education, market trends, tips)

• Orients toward business goals (authority, SEO)

• Requests a defined number of ideas for clear output

🛠️ Learn how to adapt this prompt for SaaS, AI tools, dev teams & more →
Read the full PromptPilot breakdown

💡 Bonus Tool: Want to generate and master prompts instantly?
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📰 More from the AI World

• Sam Altman, OpenAI will reportedly back a startup that takes on Musk’s Neuralink

• AI companion apps on track to pull in $120M in 2025

• Google vet raises $8M for Continua to bring AI agents to group chats

• Uber Freight CEO Lior Ron leaves to join self-driving startup Waabi as COO

🧰 Today’s AI Toolbox Pick

• 👩‍⚕️LiarLiar (Mental Health Tool): Detects fluctuating heart rates and shifting facial expressions during video calls.

• 📱MAGE (Apps Tool): Generates full-stack web apps in Wasp, React, Node.js, and Prisma.

• 🧮Julius (Data Analysis Tool): A data analyst who solves math problems and creates visualizations.