Claude AI model now responds to longer prompts

👩‍💻 Greetings To All AI Learners. Anthropic’s Claude can indeed handle much longer prompts now. With Sonnet 4’s 1 million-token window, developers and enterprises can process entire projects or extensive datasets in one go, reducing fragmentation and boosting consistency. It’s a powerful capability, especially for code-heavy or multi-document workflows and it's available now as a beta for qualifying enterprise users.

✨ In today’s AI News we will cover:

👾 Anthropic’s Claude AI model can now handle longer prompts.

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

👾 ChatGPT’s model picker is back, and it’s complicated.

👾 Perplexity offers to buy Chrome for billions more than it’s raised.

👾 4 Trending AI Tools

LATEST NEWS HIGHLIGHTS

✨ CLAUDE AI’S EFFICIENCY

💫 Anthropic’s Claude AI model can now handle longer prompts.

👽 Anthropic’s 1M-token upgrade turns Claude Sonnet 4 into a powerhouse for complex, large-scale tasks capable of digesting entire books, codebases, or research corpora at once. It’s a leap toward AI systems that can work as deeply informed long-term collaborators, not just short-response assistants.

💫 Highlights

👉 1 Million Token Context Window: Claude Sonnet 4 can now process up to 1M tokens (~750,000 words or 75,000 lines of code) in one request.

👉 Availability: Live in beta via Anthropic API (Tier 4/custom rate limits) and Amazon Bedrock; Google Cloud’s Vertex AI integration coming soon.

👉 Massive Scale: Can handle entire novels, full codebases, or hundreds of documents without splitting prompts.

👉 Developer-Friendly: Ideal for long-horizon tasks complex coding, multi-document research, legal analysis, and enterprise workflows.

👉 Pricing: Tiered $3 per million input tokens (≤ 200K), $6 per million input tokens (> 200K); output costs are higher.

💫 Significance

🚣🏼‍♂️ Improves efficiency: Developers no longer need to fragment complex tasks like entire projects or datasets into smaller prompts.

🚣🏼‍♂️ Competitive positioning: While Google’s Gemini 2.5 Pro and Meta’s Llama 4 Scout tout even larger context windows, Anthropic emphasizes effective context utilization, not just raw capacity.

🚣🏼‍♂️ Enterprise focus: This move strengthens Anthropic’s appeal to enterprise clients in sectors like coding, legal, pharmaceuticals, and research.

✨ UBER CEO’S NEW POSITION

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

🧍🏼‍♂️ Lior Ron’s transition from Uber Freight to Waabi as COO marks a pivotal step in commercializing autonomous trucking at scale. With his logistics and operations track record, Ron is well-positioned to lead Waabi through a critical commercialization phase all while maintaining strategic ties with Uber Freight.

💫 Highlights

🏋🏼‍♀️ New Appointment at Waabi: Lior Ron, the founder and longtime CEO of Uber Freight, has been appointed as Chief Operating Officer (COO) of autonomous trucking startup Waabi.

🏋🏼‍♀️ Uber Freight Leadership Transition: Rebecca Tinucci, former head of Uber’s electrification strategy and ex-Tesla charging executive, will succeed Ron as CEO of Uber Freight. Ron will, however, remain on as chairman.

🏋🏼‍♀️ Timing & Context: Waabi is preparing to enter commercial operations with fully driverless trucks, targeting a “driver-out” milestone by year-end, particularly in the U.S. Southwest (e.g., Texas), building on existing pilot routes such as Dallas to Houston.

💫 Significance

🚗 From Digital to Physical Logistics: The move symbolizes a broader industry shift: Ron helped build the digital infrastructure for logistics (via Uber Freight), and now he’s pivoting to physical autonomy infrastructure making self-driving trucks commercially viable.

🚗 Strategic Acceleration for Waabi: Waabi, known for its “Physical AI” approach including its simulator Waabi World and Mixed Reality Testing gains an operational leader equipped to navigate the transition from R&D to full-scale market deployment.

🚗 Continuity & Partnership Synergy: Uber remains a key investor and partner. Ron’s move to Waabi strengthens collaboration continuity, ensuring that existing pilots and shared infrastructure efforts (e.g. freight routes, OEM partnerships) can scale seamlessly.

✨ CHATGPT’S COMPLICATION

💫 ChatGPT’s model picker is back, and it’s complicated.

🚧 The return of ChatGPT’s model picker is less a full revival and more a redesign. GPT-5 now defaults to an intelligent auto-routing system that chooses the best mode for each prompt, aiming to simplify the experience. Paid users still get limited manual options like “Thinking” or “Pro,” while GPT-4o is back for Plus subscribers after strong user demand for its warmer personality.

💫 Highlights

🏖 GPT-5 Introduces Intelligent Routing: OpenAI’s newly launched GPT-5 defaults to a unified, auto-switching system that dynamically chooses the best response mode like “quick answer” or “deep reasoning” for each user prompt. This is meant to replace the old model picker entirely.

🏖 Limited Manual Control Remains for Paid Users: Plus, Pro, and Team subscribers can still select variants like GPT-5 Thinking or GPT-5 Pro (for Pro users). But model selection is significantly reduced compared to before.

🏖 Backlash Brings GPT-4o Back At a Price: Community uproar over GPT-5’s “colder” voice led OpenAI to reinstate GPT-4o for ChatGPT Plus subscribers only. It’s no longer free, but allows those who miss its warmer tone to stick with it.

💫 Significance

☘️ From Complexity to Simplicity: OpenAI’s move toward a smart, unified model reflects a desire to simplify the user experience no more guesswork over which model fits best. But in practice, it's introduced new layers of confusion.

☘️ Users Crave Familiarity, Not Just Capability: The swift return of GPT-4o shows that emotional connection and personality matter as much as raw performance users missed its conversational warmth.

☘️ Paid Users Face Trade-Offs: While subscriptions still grant access to select model variants, the removal of detailed model controls may frustrate power users who relied on knowing exactly which model was responding.

✨ PERPLEXITY’S LUCRATIVE OFFER

💫 Perplexity offers to buy Chrome for billions more than it’s raised.

🌻 Perplexity, an AI startup valued at around $18 billion, has made a seismic, unsolicited $34.5 billion all-cash offer to acquire Google’s Chrome browser nearly double its own valuation. The bid comes amid a U.S. antitrust case that may force Google to divest Chrome, positioning Perplexity as a ready buyer if required.

💫 Highlights

💥 Record-Breaking Offer - AI startup Perplexity, valued at ~$18 billion, has made a $34.5 billion all-cash offer to acquire Google Chrome.

💥 Antitrust Context - The bid comes during a U.S. Department of Justice antitrust case that could force Google to divest Chrome.

💥 Open Source Commitment - Perplexity pledges to keep Chromium open-source, retain the Chrome team, and preserve Google Search as the default engine.

💫 Significance

🎯 Bold AI Ambition - Perplexity’s bid signals a major escalation in AI companies targeting core internet platforms, not just software niches.

🎯 Regulatory Opportunity - Shows how antitrust actions can create openings for disruptive challengers in entrenched markets.

🎯 Symbolic Power Play - Even if unlikely to succeed, the offer positions Perplexity as a bold challenger to Google’s dominance.

🎯 Strategic Positioning - Control of Chrome could give an AI company unparalleled reach into user browsing behavior, shaping the future of AI-assisted search.

QUICK HITS

✨ 4 TRENDING AI TOOLS

 🤖 Orchids AI

♟ Function: "Chat-to-create no-code websites/apps"

 🤖 CapGo.AI

♟ Function: "AI-powered spreadsheet automates lead research"

 🤖 Cluely

♟ Function: “Undetectable AI assistant for conversations.”

 🤖 Voispark

♟ Function: "AI voice generation, cloning, customization."

✨ Other Recent Developments In AI

🚀 YouTube begins AI age verification pilot in U.S.

🪙 YouTube is testing an AI-based age verification system for logged-in users, evaluating maturity from viewing history rather than declared age.

🚀 Sam Altman backs brain-computer interface venture

🪙 OpenAI co-founder Sam Altman is now supporting Merge Labs, a startup aiming to compete with Neuralink in brain-computer interfaces.

🚀 Cybersecurity at stake in AI arms race

🪙 Generative AI is challenging cybersecurity: attackers are using AI for malware creation, while defenders deploy AI tools like Microsoft’s detectors and Trend Micro's “digital twin” systems.

🤓 That’s A Wrap For Today!

Stay tuned for more updates.

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