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- ⚡🔋OpenAI Expands Deep Research Access, Intensifying AI Tool Competition
⚡🔋OpenAI Expands Deep Research Access, Intensifying AI Tool Competition
And more: Chegg Sues Google Over AI Search—Is Big Tech Stealing Traffic?; AI “Counselor” Now Helping Students—Breakthrough or Risky?
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WHAT’S AT STAKE TODAY ⚡
- 🧐💰 OpenAI expands deep research for paying users. Premium perks for ChatGPT VIPs!
- ⚖️📚 Chegg drags Google to court over AI summaries. Homework helper feels threatened!
- 🎬✨ Cineocean AI enters the spotlight. Another AI tool wants fame!
- 🇺🇸🙄 Scale AI CEO's patriotic pitch falls flat at Web Summit. AI nationalism gets eye rolls!
- 🎵🤫 1,000 artists drop 'silent' album protesting AI. Copyright rebellion gets quiet!
- 👔💼 Perfect bags $23M to fix recruitment. HR gets AI makeover!
- ☁️🔧 Koyeb platform offers Tenstorrent AI chips. Cloud computing gets exotic hardware!
- 🇸🇪📱 Swedish app-builder Lovable scores $15M. Nordic AI growth impresses!
- 🔓🔄 DeepSeek reopens API after pause. Back in business after timeout!
⚡ Latest in AI
OpenAI rolls out deep research to paying ChatGPT users

OpenAI rolls out deep research to paying ChatGPT users
OpenAI has announced a significant expansion of its deep research feature, extending access to all paying ChatGPT subscribers. The web browsing agent, which generates comprehensive research reports on user queries, was previously available exclusively to ChatGPT Pro subscribers paying $200 monthly. This expansion marks a strategic move in the increasingly competitive landscape of AI research tools.
The rollout provides ChatGPT Plus, Team, Enterprise, and Edu subscribers with 10 deep research queries per month as part of their existing subscriptions. Meanwhile, ChatGPT Pro users will see their allocation increase from 100 to 120 queries monthly, reinforcing the premium positioning of this top-tier subscription plan. This tiered approach allows OpenAI to maintain value differentiation across its subscription levels while broadening access to one of its most sophisticated features.
Deep research represents one of the most advanced capabilities in consumer-facing AI tools today. The feature allows ChatGPT to autonomously browse the web to gather information, synthesize findings from multiple sources, and generate comprehensive reports that include citations and references. This capability transforms ChatGPT from a primarily generative AI system into a more autonomous research assistant that can independently gather and analyze information.
The timing of this expansion is notable, as it comes just days after Google announced the broader availability of its competing deep research agent to all Gemini Advanced users. This near-simultaneous expansion by two AI industry leaders highlights the growing importance of research capabilities in the competitive AI landscape. Meanwhile, Perplexity, a search-focused AI startup that has gained significant traction with its research-oriented approach, continues to refine its similar offering.
The convergence on nearly identical naming conventions—with OpenAI, Google, and Perplexity all using variations of "deep research" for their products—reflects both the conceptual alignment across the industry and the competitive positioning as each company attempts to claim leadership in this emerging category. This naming similarity also presents potential brand differentiation challenges as consumers may struggle to distinguish between competing offerings.
For OpenAI, the broader rollout of deep research capabilities serves multiple strategic objectives. First, it enhances the value proposition of its paid subscription tiers at a time when free AI alternatives are becoming increasingly sophisticated. The ability to conduct thorough, multi-source research may justify subscription costs for users who rely on comprehensive information gathering. Second, it positions OpenAI competitively against both established rivals like Google and emerging competitors like Perplexity, which has built its entire business model around AI-powered research.
Supporting more users on deep research capabilities requires substantial computational resources, as these features involve multiple AI model calls, web browsing capabilities, and complex information synthesis. The allocation of limited queries per month helps OpenAI manage these computational costs while still providing value to subscribers.
In its announcement, OpenAI acknowledged ongoing testing around potential persuasive uses of deep research tools. This acknowledgment reflects growing awareness of how sophisticated AI research tools might influence information consumption and belief formation. By incorporating these tools into paid products rather than free offerings, companies like OpenAI can maintain stricter usage controls and monitoring capabilities while developing safeguards against potential misuse.
As competition intensifies in this space, we can expect further refinements to these research capabilities. Areas for potential development include improved citation accuracy, better handling of conflicting information sources, more transparent reasoning about source credibility, and enhanced customization of research depth and focus.
For OpenAI, the success of this expanded rollout will likely be measured not just by user engagement with the deep research feature, but also by its impact on subscription conversions and retention. As the company continues to invest in advanced capabilities like deep research, it must balance innovation with sustainability, ensuring that these computationally intensive features can be provided at scale while maintaining the company's financial stability.
⚡ The companies of the future
Chegg sues Google over AI search summaries

Chegg vs Google Lawsuit
Chegg has sued Google over AI search summaries, claiming they've damaged the edtech company's traffic and revenue. Filed in the U.S. District Court for the District of Columbia, the lawsuit accuses Google of unfair competition, monopoly maintenance, and unjust enrichment by forcing companies to provide content for inclusion in search results.
Chegg is seeking damages and an injunction against Google's conduct, joining other publishers who have raised concerns about traffic impacts from Google's AI summaries.
Why it matters: The lawsuit highlights growing tensions between content creators and AI-powered search tools, raising questions about the balance between innovation and fair competition in the digital economy.
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⚡ The AI Edge: Smart Solutions for Business Growth
What Is Cineocean AI Used For?

Cineocean AI Platform
Cineocean AI is a platform that integrates multiple AI-powered tools for generating video, images, and text. It allows users to convert text into videos, transform images into videos, generate images from text prompts, modify images with AI, and create new text-based content.
This tool is designed for a range of users, including content creators, marketers, filmmakers, designers, and writers. It helps streamline creative workflows by automating content generation, making it easier to produce visuals and text quickly.
By offering multiple AI-driven features in one place, Cineocean AI provides an efficient way to experiment with ideas, enhance content production, and reduce the time and cost associated with traditional creation methods.
⚡ More AI Bites
- 🎪 🤨 Web Summit attendees aren't buying Scale AI CEO's push for America 'to win the AI war'.
- 🎵 🤫 1,000 artists release 'silent' album to protest UK copyright sell-out to AI.
- 💼 🔧 Perfect taps $23M to fix the flaws in recruitment with AI.
- ☁️ 💻 Serverless cloud platform Koyeb now lets developers spin up Tenstorrent's AI accelerators.
- 🇸🇪 📈 Sweden's Lovable, an app-building AI platform, rakes in $15M after spectacular growth.
- 🔓 🔄 DeepSeek reopens access to its API after three-week pause.
⚡ Trends for the Future
Sonar Mental Health Develops AI-Human Hybrid Chatbot for School Counseling

Sonar AI Chatbot for School Counseling
The details:
Amid a nationwide shortage of school counselors, startup Sonar Mental Health has developed an innovative solution combining artificial intelligence with human oversight. The company's "wellbeing companion," named Sonny, aims to provide mental health support to students in understaffed schools.
According to reporting by the Wall Street Journal, Sonny operates as a text-based chatbot that leverages AI to suggest responses, but maintains human professionals as the final decision-makers before any message reaches students. This hybrid approach aims to balance technological efficiency with necessary human judgment in sensitive mental health conversations.
Since establishing its first school partnership in January 2024, Sonar has rapidly expanded its reach. The platform is now available to more than 4,500 middle and high school students across nine school districts. The human oversight team currently consists of six professionals with backgrounds in psychology, social work, and crisis-line support.
Sonar CEO Drew Barvir emphasizes transparency about the service's limitations, making it clear to both students and schools that Sonny is not a replacement for professional therapy. The company has established protocols to connect students with appropriate therapeutic resources when needed, working in coordination with schools and parents.
The service addresses a critical gap in the educational system. According to the Education Department, 17% of high schools in the United States operate without any counselor at all, leaving many students without access to mental health support during formative years.
What makes this crucial: This human-AI collaborative approach represents an emerging trend in mental health technology, particularly for educational institutions facing resource constraints while attempting to address growing student mental health concerns.

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AI is not just about replicating human abilities, it's about discovering entirely new approaches to problem-solving that emerge from the interplay between human intuition and computational power. Each advancement reveals new possibilities we couldn't have imagined before.
Judith S. Olson is an American researcher best known for her work in the field of human-computer interaction and the effect of distance on teamwork. Olson began her career at the University of Michigan before later moving to the University of California, Irvine.
📝 AI Playground: Enhance Your Writing 📝
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