Code. Click. Fix. Repeat.

Updates and Insights for Today

1. You’ll Let AI Browse for You — Meet Gemini’s New “Computer Use” Power

2. You Can Let AI Code for You — OpenAI’s New “Codex” Becomes Your Virtual Engineer

3. You’ll Sleep Safer Tonight — Google’s New AI Agent CodeMender Patches Your Software Automatically

4. The latest in AI tech

5. AI Tutorials: How to Rank #1 on ChatGPT — Generative Engine Optimization Guide (FULL GUIDE).

6. AI tools to checkout

AI News

You’ll Let AI Browse for You — Meet Gemini’s New “Computer Use” Power

Quick Summary

Google DeepMind has introduced a new Gemini “Computer Use” model that interacts with web browsers by performing actions like a human user. It lets AI agents fill out forms, click buttons, and navigate sites without needing API access, expanding what AI tools can automate.

Key Insights

• The Gemini Computer Use model supports 13 core actions (e.g. open browser, type, drag/drop) to interface with web pages visually.

• It shifts from API-based access to UI-based automation, enabling access to web apps or services that lack programmatic endpoints.

• The model is accessible to developers via Google AI Studio / Vertex AI and is already being benchmarked against competitors.

• It’s currently limited to browser-level control—not full OS-level—but marks a step toward more agentic AI capability.

Why It’s Relevant

Because so many services lack clean APIs, this model bridges the gap: YOU can have AI that “uses” websites just like a person would, expanding automation to more domains. It enables workflows spanning services with no developer APIs, which historically were off-limits. As AI increasingly acts as your assistant, this model is a key building block for more powerful, flexible agents that do work on your behalf in complex web environments.

📌 Read More: Google

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You Can Let AI Code for You — OpenAI’s New “Codex” Becomes Your Virtual Engineer

Quick Summary

OpenAI has launched Codex, a cloud-based software engineering agent that can independently write, test, and fix code across tasks in parallel. Unlike earlier models, Codex acts like a virtual coworker with deeper context and autonomy.

3. Key Insights

• Codex is powered by codex-1, a fine-tuned variant of OpenAI’s o3 model tailored for software engineering tasks.

• It can manage multiple tasks at once, each operating in an isolated environment preloaded with your codebase.

• It supports typical workflows: writing features, answering questions about your repo, fixing bugs, and proposing pull requests.

• It’s available in preview for ChatGPT Pro, Enterprise, Team users, with future access for Plus and EDU.

4. Why It’s Relevant

Because even the best developers waste time on repetitive or boilerplate coding, YOU now gain a powerful AI assistant that can take over those tasks. You’ll free more brainpower for creative and architectural work. As the tool integrates with your existing workflows (IDE, PRs, tests), it can accelerate delivery and reduce menial errors. Over time, you’ll rely on Codex as a trusted collaborator — not a replacement, but a force multiplier.

📌 Read More: OpenAI

You’ll Sleep Safer Tonight — Google’s New AI Agent CodeMender Patches Your Software Automatically

Quick Summary

DeepMind has unveiled CodeMender, an autonomous AI agent that not only detects but patches security vulnerabilities in codebases. It has already upstreamed dozens of fixes in open-source projects, combining multi-agent reasoning and validation tools.

Key Insights

• CodeMender is built on Gemini “Deep Think” models and can reason about root causes before proposing patches.

• It uses advanced methods—static/dynamic analysis, fuzzing, differential testing, SMT solvers—to verify that patches don’t introduce regressions.

• Over the past six months, it has contributed 72 security fixes to open source projects, some spanning 4.5 million lines of code.

• While CodeMender currently still routes its patches through human review, the aim is to scale that trust over time.

Why It’s Relevant

Because security flaws are one of software’s most persistent headaches, YOU now have the possibility of an AI that not only finds those flaws—but fixes them—for you. This shifts the burden from catching bugs to overseeing the process, saving time and reducing risk. Over time, CodeMender could become a security co-pilot in your dev stack, increasing the reliability and safety of your software. The fact that it’s already producing real patches strengthens the case that this is more than hype.

📌 Read More: Siliconangle

 AI Tutorials

How to Rank #1 on ChatGPT — Generative Engine Optimization Guide (FULL GUIDE)

Quick Summary

Google search is losing share while AI chat tools surge. The video explains how to rank inside LLM answers using consistent publishing, Bing indexing, and citation-driven content on Reddit, Wikipedia, YouTube, LinkedIn, and blogs.

Key Insights

• Chatbot conversions are 4.4× higher than Google search clicks.

• 100M+ people use AI chat tools weekly for answers.

• Early adopters report ~70% share of voice in LLMs and ~20% of traffic from LLM referrals.

• Ranking in LLMs depends on two data paths: long-term training data and short-term context window.

• Consistency + Bing indexing + structured, fresh, citation-worthy content drive inclusion.

What Can I Learn?

• How LLMs choose sources (training data vs. context window).

• Where to publish for LLM visibility (Reddit, Wikipedia, YouTube transcripts, LinkedIn Pulse, list-style blogs).

• How to make pages “AI-crawlable” and Bing-indexed.

• How to measure share of voice, position, and sources across ChatGPT, Gemini, Perplexity, Claude, etc.

Which Benefits Do I Get?

• Higher intent traffic from answers with 4.4× conversion potential.

• Faster discovery in AI assistants that users trust and consult weekly.

• Repeatable content cadence that compounds into LLM training and context.

• Clear KPIs to find low-effort, high-impact keyword gaps.

Why It’s Relevant

Problem: Your organic growth depends on channels where attention is shifting from SERPs to chats.
Agitate: Without Bing indexing, structured content, and citations on trusted hubs, YOU won’t appear when customers ask AI for recommendations.
Solution: Secure Bing indexing, publish weekly across the five priority formats, and track LLM rankings and sources to close gaps fast.
Proof: The video cites 4.4× conversion lift, 100M+ weekly users, ~70% LLM share of voice, and ~20% LLM traffic for early adopters.

Here is the full Video Tutorial 👉 Click Here

The latest in AI tech

1. OpenAI Launches Apps Inside ChatGPT

OpenAI just turned ChatGPT into a full app platform. Developers can now embed interactive mini-apps directly into conversations — think booking a trip, managing Spotify, or checking real estate listings without leaving chat. This shift turns ChatGPT into an ecosystem where AI becomes a personalized interface for everything digital.
📌 Read More: TechCrunch

2. Samsung’s New 200 MP Camera Sensor

Samsung’s latest 200 MP sensor delivers sharper, cleaner, more detailed images even in low light. Featuring advanced pixel-binning and upgraded noise reduction, it promises DSLR-level precision in smartphones. The breakthrough aims to redefine mobile imaging and could power AI-enhanced photography and vision models for next-gen devices.
📌 Read More: Sammobile

3. OpenAI & AMD Partner on AI Chips

OpenAI has signed a multi-year deal with AMD to produce specialized chips optimized for AI workloads. The collaboration strengthens OpenAI’s independence from Nvidia and secures long-term hardware capacity for scaling models like GPT and Codex. It’s a strategic move shaping the future of AI infrastructure and cost efficiency.
📌 Read More: CNBC

4. Anthropic and Deloitte Bring AI to Enterprises

Anthropic joins forces with Deloitte to integrate Claude AI models into enterprise systems across finance, healthcare, and government. The partnership focuses on safe deployment, compliance, and efficiency — bringing trustworthy AI to industries once hesitant to adopt it. This marks a major step in regulated enterprise transformation.
📌 Read More: CNBC

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 AI Tools to check out

Conversion.ai

Conversion is an AI-native marketing automation platform for B2B teams. It lets you build custom workflows, trigger emails, sync with CRMs, segment dynamically, and create polished email campaigns without writing code.

👉 Try It Here: ConversionAI

Nana Banana

Nana Banana is a free AI image editing tool that leverages Google Gemini Flash Image tech. It specializes in character consistency — whether changing poses or styles, it retains identity across edits.

👉 Try It Here: NanaBanana

The Drive AI

The Drive AI is billed as the “world’s first agentic workspace.” It handles files, documents, automation, and even web actions via natural language or voice — not just passive answers but action-oriented AI across multimodal formats.

👉 Try It Here: TheDrive

Notch

Notch is an AI tool that aims to help teams surface key insights, capture feedback, and align work using context and data. It merges AI with workflow systems, enabling smarter decision making.

👉 Try It Here: Notch

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