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- SoftBank’s Nvidia sale rattles market, raises questions
SoftBank’s Nvidia sale rattles market, raises questions
AND: Apple Intelligence Now Summarizes App Reviews—Here’s How It Works

✨TodayOnAI’s Daily Drop
SoftBank’s Nvidia sale rattles market, raises question
Wonderful raised $100M Series A to put AI agents on the front lines of customer service
Uare.ai Raises $10.3M to Build Personal AIs from Your Life Story
💬 Let’s Fix This Prompt
🧰 Today’s AI Toolbox Pick
| 📌 The TodayOnAI Brief |
Softbank AI

🚀 TodayOnAI Insight: SoftBank founder Masayoshi Son has sold his entire $5.8B stake in Nvidia to fund an aggressive new push into AI—including a reported $30B commitment to OpenAI and potential involvement in a $1T AI chip hub. It’s a classic Son move: bold, high-stakes, and impossible to ignore.
🔍 Key Takeaways:
Full Nvidia exit: SoftBank sold all 32.1M Nvidia shares, cashing out near the stock’s peak at $181.58—just 14% off its all-time high.
Funding future bets: Proceeds will reportedly fuel a $30B OpenAI investment and participation in an ambitious $1T AI manufacturing hub in Arizona.
Historical echoes: Son previously exited Nvidia in 2019, missing a $150B windfall—this sale is better timed but still high-risk.
Legacy of extremes: From Alibaba’s $150B return to WeWork’s $13.7B loss, Son’s track record includes both iconic wins and costly missteps.
Market impact: Nvidia stock dipped nearly 3% after the news, though analysts emphasized the move isn’t a bearish signal on Nvidia itself.
💡 Why This Stands Out: Son’s Nvidia exit underscores a pivotal shift: capital is consolidating around foundational AI infrastructure, not just model labs. His readiness to bet billions—again—on a nebulous AI future highlights a broader trend among tech giants and sovereign wealth funds: the race to own the rails of AI. But with echoes of past boom-bust cycles, the question lingers—will this be Son’s next Alibaba or another WeWork?
Wonderful Ai

🚀 TodayOnAI Insight: AI agent startup Wonderful has raised $100 million in Series A funding led by Index Ventures, bringing its total to $134 million just four months after emerging from stealth. The round signals strong investor confidence in the startup’s global-first, infrastructure-heavy approach to scaling multilingual, market-tailored AI agents.
🔍 Key Takeaways:
Not just another wrapper: Wonderful is building orchestration infrastructure for scalable multi-agent systems, embedding deeply into enterprise software stacks.
Enterprise-grade AI agents: Currently handles tens of thousands of daily support requests across voice, chat, and email, with an 80% resolution rate.
Global rollout strategy: Already live in 10+ markets, including the UAE and across Europe; plans 2025 launches in Germany, Austria, Nordics, and Portugal, with APAC expansion in 2026.
Beyond customer support: Now piloting agents in employee training, IT support, onboarding, compliance, and sales enablement.
Investor vote of confidence: Backers include Index Ventures, Insight Partners, IVP, Bessemer, and Vine Ventures.
💡 Why This Stands Out: In a saturated landscape of AI agent startups, Wonderful distinguishes itself by executing on localization, infrastructure, and deep enterprise integration—elements often overlooked in early-stage hype. Its traction shows that the most promising path for AI agents may not be autonomy, but fluency: in language, regulation, and operational context. As the enterprise AI stack matures, will cultural nuance prove the most defensible moat?

🚀 TodayOnAI Insight: Robert LoCascio, founder of LivePerson, has launched Uare.ai—a personal AI platform built to replicate individuals using only their life stories and data. The startup, formerly known as Eternos, just raised $10.3M to scale a more human-centered alternative to generalized AI models.
🔍 Key Takeaways:
Uare.ai lets users train a personal AI using a proprietary Human Life Model (HLM) based solely on their own voice, stories, and life data—no general LLMs involved.
Originating as a legacy tool for end-of-life storytelling, the platform evolved when demand shifted toward active professionals and creators.
The platform supports input via text, voice, and video; users answer life-story prompts to train their HLMs.
Unlike Character.ai or other chatbot tools, Uare.ai’s AIs admit when they don't know an answer instead of hallucinating responses.
Seed round of $10.3M was led by Mayfield and Boldstart Ventures; monetization will come via subscriptions or revenue shares from user-deployed digital twins.
💡 Why This Stands Out: Uare.ai signals a shift toward hyper-personal AI—models owned, trained, and controlled by individuals rather than opaque big-tech systems. It flips the narrative: instead of your data training someone else’s model, it powers your own. As creators and professionals look to scale themselves, will personal AI become the next productivity layer?
| 💬 Let’s Fix This Prompt |
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🔹 The Original Prompt
"Generate blog ideas for a tech company."
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
Generate a list of unique, engaging blog post ideas for a B2B tech company that wants to attract decision-makers in mid-sized companies. Focus on topics related to emerging technology trends, industry insights, and practical solutions their software offers. Include suggested titles and a 1–2 sentence summary for each idea.
💡 Why It's Better
Specific audience: Targets decision-makers in mid-sized companies.
Contextual focus: Emphasizes emerging tech and practical solutions.
Actionable output: Requests summaries and titles to spark execution.
Tone and style: Guides the type of content (insightful, engaging, relevant).
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| 🧠 Smart Picks |
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🧰 Today’s AI Toolbox Pick
📑LinkSquares (Law Tool): Quickly crafts, reviews, and approves legal agreements for your small business.
🏰Podcastle (Podcast Tool): Converts articles into professional podcasts.
✏️AI-WRITER (Content Tool): Drafts articles or blog posts, enhancing content creation and writing efficiency.