Updates and Insights for Today

1. OpenAI Levels Up: ChatGPT Can Now Act Not Just “Chat” ⚡️

2. No-Code, Full Power: 5 Tools AI Engineers Will Drool Over

3. Is The Open Web Doomed?

4. The latest in AI tech

5. AI Tutorials: 10 FREE OSINT Tools To Gather Info On Someone

6. AI tools to checkout

AI News

OpenAI Levels Up: ChatGPT Can Now Act Not Just “Chat” ⚡️

Quick Summary:
OpenAI has expanded ChatGPT Developer Mode — now including full Model Context Protocol (MCP) tool support with write capabilities. This means developers can automate workflows, update external systems, and trigger multi-step actions from inside a chat. Enterprise integrations just got a lot juicier.

Key Insights:

• Previously, MCP tools in ChatGPT were read-only (fetch/search). Now they can write — e.g. update Jira tickets, start Zapier workflows directly in chat.

• These tools allow chaining multiple actions: analyze logs → raise tickets → notify teams. All triggered conversationally.

• It’s available for Plus and Pro users.

• New security and reliability demands come into play: authentication, scoped permissions (OAuth/API tokens), error handling, transaction safety.

• Docs include JSON schemas and endpoint definitions so connector behavior is standardized.

Why It’s Relevant:

This shift transforms ChatGPT from a passive assistant into an orchestration engine. For any org using modern workflows — dev, ops, business — this lets you embed automations in natural conversations. You reduce friction, improve response times, and streamline work without building custom middleware.

📌 Read More: OpenAI

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No-Code, Full Power: 5 Tools AI Engineers Will Drool Over

Quick Summary:
The article presents five no-code platforms that let AI engineers build agents, RAG systems, workflows, fine-tune models and more — all without writing code. These tools dramatically slash development time and lower the barrier to entry for creating intelligent applications. Key Insights:

• Sim AI – drag-and-drop workflows; supports agents, business automation, data analysis; lots of integrations including API, AI models, databases.

• RAGFlow – build retrieval-augmented generation assistants with your own data (PDFs, CSVs etc.); tools for chunk editing, explainability, fallback responses, test-monitoring etc.

• Transformer Lab – all-in-one workspace for local/cloud LLMs & diffusion models; manage datasets, evaluate, generate embeddings; community driven.

• LLaMA-Factory – fine-tune/freeze/frequent parameter tuning methods (LoRA, QLoRA etc.), supports many open-source models & multimodal, with optimization methods and experiment tracking.

• AutoAgent – natural language workflow/agent creation without code; includes its own vector database; works with many LLMs; supports function-calling, reasoning.

Why It’s Relevant:

These tools shift AI work away from code-intensive toil toward design, logic, and iteration. For engineering teams, this means faster prototyping, lower cost, fewer bugs. For smaller orgs or solo devs, it’s a chance to build serious AI assistants and RAG tools without hiring huge ML/infra teams. It also pushes the frontier of what's possible without deep ML expertise.

📌 Read More: Marktechpost

Is The Open Web Doomed?

Quick Summary:
In a recent court filing, Google’s legal team claims that “the open web is already in rapid decline,” seemingly contradicting public statements from its own leadership. The assertion is used to argue against divestiture proposals, as such changes could allegedly worsen conditions for publishers reliant on open-web display advertising. The term “open web” is being clarified in updated documents to specifically reference the advertising side.

Key Insights:

• Google previously had executives saying the open web is thriving; but now legal filings state it is in “rapid decline,” especially regarding display ad revenue.

• The claim surfaces in the context of arguing against mandated divestitures — Google contends that decoupling parts of its business would accelerate harm to publishers who depend on display advertising on the open web.

• Public scrutiny has pushed Google to adjust its own language in legal documents: instances of “open web” have been changed to “open-web display advertising,” likely to narrow the scope of its argument.

• Critics argue this shift in phrasing shows tension between Google’s public messaging and its legal position.

Why It’s Relevant:

This development could reshape how regulators, publishers, and advertisers view the trajectory of the internet’s display ad ecosystem. If Google’s internal view confirms steep decline, that may buttress calls for policy changes or support for alternative revenue models for media. For anyone in web content, media, or ad tech, this could signal urgency to diversify income streams beyond traditional open-web ads.

📌 Read More: Seroundtable

 AI Tutorials

10 FREE OSINT Tools To Gather Info On Someone

Quick Summary:
This video explains how anyone can trace your online identity using free, legal OSINT tools. It shows how usernames, emails, photos, and metadata connect across platforms—and what habits protect you. The goal is simple: understand the risk, harden your privacy.

Key Insights:

• One handle can connect hundreds of profiles. Reuse creates an identity map.

• A single phone or email can unlock breach data, socials, and past aliases.

• Photos expose faces, locations, and hidden EXIF data.

• Routine oversharing builds a timeline of where you go and who you know.

What Can I Learn?

• How username reuse links accounts across 500+ sites.

• How breach lookups surface leaked emails, phones, and credentials.

• How facial search and EXIF data reveal identity and location.

• How automated OSINT chains small clues into full profiles.

Which Benefits Do I Get?

• You build safer habits: unique usernames, burner emails, and strong passwords.

• You spot exposure early with breach checks and footprint audits.

• You reduce location leaks by killing geotags and metadata.

• You gain attacker-view awareness to fix weak points fast.

Why It Matters:

• Anyone can run these checks—no hacking required.

• Small data points combine into real-world risk.

• Privacy leaks enable stalking, scams, and impersonation.

• Proactive hygiene cuts the attack surface before trouble starts.

Why It’s Relevant:
OSINT is mainstream in 2025. Marketers, scammers, and investigators use the same tools. Your identity now depends on daily choices, not just tech settings. If you control inputs—handles, photos, locations—you control your risk. Treat privacy like a routine, not a rescue.

Here is the full Video Tutorial 👉 Click Here

The latest in AI tech

📌 Google Unveils VaultGemma — Strongest Private LLM Yet
Google introduces VaultGemma, a new large-language model built with differential privacy to protect user data. It aims to deliver top-tier performance while keeping individual data shielded. Early evaluations show strong accuracy and safety. With VaultGemma, Google pushes the boundaries of private AI without sacrificing capability.
📌 Read More: Google

📌 Los Alamos Taps OpenAI + Venado for Nuclear Research
Los Alamos National Lab deploys OpenAI models on the Venado supercomputer to accelerate cutting-edge nuclear research. The setup leverages powerful compute and advanced AI to simulate, test, and analyze critical scientific problems faster than before. The partnership highlights AI’s leap into scientific frontiers with massive resources behind it.
📌 Read More: Department of Energy

📌 AI Engineers Deployed as Consultants — Trend Rising
Companies are increasingly using AI engineers in consulting roles rather than in-house experts. Demand spikes for short-term, high-impact AI consulting: auditing models, optimizing pipelines, and ensuring ethical practices. This shift reflects how companies want flexibility, expert insights, and fast returns without full hiring commitments.
📌 Read More: Yahoo

📌 Google’s Nano Banana Hits 10M Users First Week
Google’s new app Nano Banana skyrocketed to 10 million users in its first week post-launch. The fast adoption suggests strong viral potential, user interest, or both. Nano Banana’s features, UX, or marketing must already be resonating big. Observation: in AI and apps, momentum in week one can make or break a product.
📌 Read More: Gadgethacks

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 AI Tools to check out

AI Excel Translator

AI Excel Translator simplifies working with international spreadsheets. It automatically translates Excel formulas between languages, letting users collaborate across borders without formula errors. Ideal for finance, research, and multinational teams who often face mismatched Excel syntax. It saves time, reduces mistakes, and makes global data handling smooth.
👉 Try It Here: AI EXEL Translator

AISEO

AISEO is a content generation platform designed to help marketers, bloggers, and businesses create SEO-friendly articles, blogs, and copy faster. It supports keyword optimization, readability improvement, and long-form content structuring. With AISEO, creators can generate drafts in minutes, fine-tune tone, and maintain SEO competitiveness without hiring full editorial teams.
👉 Try It Here: AISEO

Repurposing Bot

Repurposing Bot turns a single piece of content—podcast, video, or blog—into multiple formats for different platforms. It automatically extracts highlights, writes summaries, creates social media posts, and adapts tone for varied audiences. This tool is a game-changer for creators aiming to maximize reach and engagement without manually reworking every channel.
👉 Try It Here: Repursingbot

Fluxy AI

Fluxy AI focuses on AI-powered workflow automation. It allows users to build and run AI agents that handle repetitive tasks, data processing, and integrations across apps. With a clean interface and strong customization, Fluxy AI reduces manual work and accelerates decision-making. Teams can scale productivity by letting AI orchestrate operations.
👉 Try It Here: Flux

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