Updates and Insights for Today

1. Why You Shouldn’t Fear the AI Bubble

2. Make Your AI Think in Real Time - MCP

3. Your Galaxy Just Got Smarter — and Weirder

4. The latest in AI tech

5. AI Tutorials: Did ChatGPT Just Kill Zapier?

6. AI tools to checkout

AI News

Why You Shouldn’t Fear the AI Bubble

Quick Summary
Mike Washington, an equities-sales trader at Goldman Sachs, argues that despite the big surge in AI-linked stocks, the conditions differ significantly from past bubbles. He outlines three main reasons: valuations are more reasonable, there’s strong fund inflow, and consumers remain resilient.

Key Insights

• The forward two-year price/earnings (P/E) ratio of the top seven stocks in the S&P 500 is about 27, far lower than the 52 seen at the height of the dot-com bubble.

• Goldman forecasts U.S. households will buy roughly US $520 billion in U.S. stocks in 2026, reflecting sustained investor demand.

• Foreign investment is rising markedly, driven by a weaker dollar and AI exposure abroad.

• Washington emphasises consumer resilience — retail signals show strength, not panic — supporting the broader market rally.

Why It’s Relevant
If you’re investing in or tracking AI-driven stocks, Washington’s view offers a counter-narrative to the “AI bubble” alarm. His analysis suggests the market may be elevated, but underpinned by fundamentals rather than pure hype. That matters because it may reduce the risk of a sharp collapse — yet doesn’t remove it. Understanding these conditions helps you situate AI stocks in a realistic risk-reward framework and prepare for possible corrections without assuming frenzy or irrational exuberance.

📌 Read More: BusinessInsider

Discover the measurable impacts of AI agents for customer support

How Did Papaya Slash Support Costs Without Adding Headcount?

When Papaya saw support tickets surge, they faced a tough choice: hire more agents or risk slower service. Instead, they found a third option—one that scaled their support without scaling their team.

The secret? An AI-powered support agent from Maven AGI that started resolving customer inquiries on day one.

With Maven AGI, Papaya now handles 90% of inquiries automatically - cutting costs in half while improving response times and customer satisfaction. No more rigid decision trees. No more endless manual upkeep. Just fast, accurate answers at scale.

The best part? Their human team is free to focus on the complex, high-value issues that matter most.

👉 Curious how they did it? Read the full case study to learn how Papaya transformed their customer support

Make Your AI Think in Real Time

Quick Summary
A new tutorial outlines how MCP allows AI models to link in real-time with external data, live tools and changing workflows. By building an MCP server and client from scratch, developers can create AI systems that adapt to context rather than rely on static training alone.

Key Insights

• MCP offers a standardized way for AI applications to access external systems, databases, files and tools without bespoke connectors.

• The tutorial walks through implementing both the server and client sides of MCP, demonstrating how models can call live resources and integrate tool usage on the fly.

• Dynamic tool-discovery and bidirectional context flows are core: models don’t just consume data—they react, adapt and execute via the connected tools.

• The move from isolated LLMs to integrated agents is well underway: MCP is emerging as the “USB-C for AI” that unifies model-tool linkage.

Why It’s Relevant
If you’re designing or using AI systems for real work—automating business processes, live data analysis, or interactive tools—knowing about MCP matters. It shifts AI from static prompt-responses to dynamic integrations where the model is part of the ecosystem, not just a silo. That means faster rollout of real-world use cases, fewer custom integrations, and better leverage of existing enterprise data and tools. In short: it improves scalability, versatility, and possible ROI of AI deployments.

📌 Read More: Marktechpost

Your Galaxy Just Got Smarter — and Weirder

Quick Summary
Samsung’s One UI 8, based on Android 16, introduces several advanced AI tools, design tweaks and new wallpapers. However, some users are unhappy about how the new interactive wallpapers are deployed—and the placement of those features has sparked debate.

Key Insights

• One UI 8 adds new AI-powered features such as context-aware Gemini Live, best-face selection in Group Photos and audio-eraser tools.

• The update introduces “interactive” wallpapers (a basketball court animation, parallax archway) but places them under the unpopular ‘Graphical’ wallpaper category, which many users avoid.

• User feedback highlights dissatisfaction: for example, customisable widgets like transparent-background gallery widgets are no longer working as before.

• Samsung promises six years of OS and security support for compatible devices.

Why It’s Relevant
If you own a Galaxy device or plan to buy one, this update affects how your phone looks, behaves and how long it will remain supported. The AI tools could bring real utility (better photos, smarter suggestions), while the design and customisation changes could impact your personal experience—especially if you value visual interface control. Understanding the community’s mixed response helps you decide when or whether to install the update, and whether you’ll need to adjust your expectations around customisation.

📌 Read More: Azat

The latest in AI tech

1.
Anthropic is integrating its AI assistant Claude with everyday enterprise tools like Microsoft 365 to boost productivity and context-aware decision-making.
📌 Read More: Anthropic

2.
Art students in New York are adapting their creative processes amid the rise of generative AI-tools, exploring how collaboration, inspiration and originality shift in the age of machine-augmented artistry.
📌 Read More: NBC

3.
Wikipedia has seen an ~8 % year-over-year traffic drop as users increasingly rely on AI-generated search summaries and short-form video formats that bypass traditional page visits.
📌 Read More: TechCrunch

4.
Figure AI founder Brett Adcock claims his startup is “building a new species” of humanoid robots capable of self-replication and complex tasks — a future backed by OpenAI and pitched at the Dreamforce 2025 conference.
📌 Read More: BusinessInsider

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 AI Tools to check out

Hivoe
Description: An automation platform designed to capture leads on X (formerly Twitter) by automating direct messages and integrating seamlessly with tools like Notion, AirTable and Google Sheets to scale outreach and engagement.
👉 Try It Here: Hivoe

MixMaster Pro
Description: A-powered mixing analysis tool that lets users ― from beginners to pros ― evaluate studio-quality audio mixes in under 60 seconds, supporting major DAWs like Pro Tools, Logic, Ableton and more.
👉 Try It Here: MixMasterPro

CRYPTO5
Description: A comprehensive AI-powered “crypto intelligence operating system” that turns hours of scattered data (on-chain metrics, market sentiment, tokenomics, dev activity) into actionable research in minutes ― helping traders make informed decisions in real-time.
👉 Try It Here: Crypto5

FindAnomaly AI
Description: A no-code AI data-analytics platform that lets users upload spreadsheets or connect databases and instantly generates interactive dashboards, anomaly detection, trend alerts and natural-language queries — ideal for non-technical teams.
👉 Try It Here: Findanomaly

 AI Tutorials

Did ChatGPT Just Kill Zapier?

Quick Summary
OpenAI added native “apps” inside ChatGPT plus a visual Agent Kit for building multi-step agents. The video demos Spotify, Figma, and Canva running in-chat, and explains how Agent Kit uses nodes, guardrails, and MCP connections to build workflows.

Key Insights

• You can call apps with “@AppName” (e.g., Spotify) and act without leaving ChatGPT.

• Figma and Canva demos show creation, editing, and iteration fully in-chat.

• Agent Kit is a node-based builder with templates, guardrails, and MCP server hookups.

• Today it’s OpenAI-model-centric; broader triggers and model choice may come later.

What Can I Learn?

• How to invoke and authorize third-party apps from within ChatGPT.

• How to generate editable assets (playlists, org charts, flyers) entirely in-chat.

• How Agent Kit chains tools, adds guardrails, and branches with logic.

• Where MCP fits to connect external products as scalable “tools.”

Which Benefits Do I Get?

• Save time by skipping tab-switching and manual exports.

• Ship prototypes faster with in-chat design and content creation.

• Build safer agents via PII filters, jailbreak/hallucination checks.

• Extend workflows as more MCP-enabled apps appear.

Why It Matters:
This shifts ChatGPT from a chat box to a true work surface. Apps in-chat compress creation cycles and reduce friction. Agent Kit lowers the bar to build reliable, guarded automations. As MCP adoption grows, everyday workflows move from “open app A → copy/paste → app B” to one conversational canvas.

Watch the full video 👉 HERE 

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