Updates and Insights for Today

1. OpenAI’s New AI Engineer Promises Autonomy

2. GitHub Deprecates DeepSeek

3. Measuring Tape Robot

4. The latest in AI tech

5. AI Tutorials:  Google Launches ‘Agent Space’: A New Era of AI

6. AI tools to checkout

AI News

OpenAI’s New AI Engineer Promises Autonomy—But Can It Deliver?

Quick Summary:

OpenAI is preparing to launch A-SWE, a self-reliant AI agent capable of writing code, conducting QA, testing bugs, and documenting software. While the idea is bold, experts remain cautious given OpenAI’s history of overhyping capabilities.

Key Insights:

• A-SWE stands for Agentic Software Engineer.

• It aims to handle full software development workflows, including tasks engineers often avoid.

• OpenAI claims it can independently interpret and act on pull requests.

• Critics warn about past exaggerations and persistent AI hallucination issues.

Why It’s Relevant:

This signals a major step toward autonomous AI in professional environments. If A-SWE works as claimed, it could reduce the need for human engineers in routine coding and testing. But persistent issues like hallucinations and overconfidence in outputs cast doubt on how soon—or how safely—this vision will become reality. For now, it’s wise to view OpenAI’s promises with healthy skepticism, even as the pace of AI innovation accelerates.

📌 Read More: OpenAI New AI Engineer

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GitHub Deprecates DeepSeek-V3—Time to Upgrade

Quick Summary:

GitHub has officially deprecated the DeepSeek-V3 model in favor of its newer version, DeepSeek-V3-0324. Users are encouraged to transition to the updated model, which offers improvements in reasoning, function calling, and multilingual support.

Key Insights:

• DeepSeek-V3 is no longer supported in GitHub Models.

• Users should migrate to DeepSeek-V3-0324 for better performance.

• The newer version enhances reasoning and programming task accuracy.

• It also features improved handling of Chinese language content.

Why It’s Relevant:

GitHub’s shift to DeepSeek-V3-0324 marks a clear push for more advanced and versatile coding models. For developers using GitHub Copilot or integrating AI in their workflows, this update means better accuracy, broader language support, and more reliable coding assistance. Staying on outdated models could limit functionality and access to new capabilities, making the switch essential.

📌 Read More: GitHub Deprecates DeepSeek

Measuring Tape Robot Could Revolutionize Fruit Picking

Quick Summary:

Engineers at UC San Diego have developed a new robotic gripper made from steel measuring tape, designed to gently harvest delicate fruits and vegetables. The low-cost design offers flexibility, compact storage, and multiple gripping functions, making it ideal for agricultural use.

Key Insights:

• The gripper, called GRIP-tape, uses spooled steel tape as flexible robotic fingers.

• It can grasp individual fruits or entire vines without damage.

• The design includes object rotation and a built-in conveyor feature.

• Future versions may include sensors and AI for full automation.

Why It’s Relevant:

Labor shortages and crop damage are major challenges in modern agriculture. GRIP-tape presents a promising, affordable solution for automating delicate harvesting tasks. Its simplicity and multifunctionality make it a standout innovation, especially in small-scale or precision farming. If scaled effectively, it could reshape how farms approach harvesting in the near future.

📌 Read More: UC San Diego

 AI Tutorials

Google Launches ‘Agent Space’: A New Era of AI Agent Army

Quick Summary:

At its 2025 keynote, Google introduced Agent Space, a platform designed for building and deploying AI agents that connect directly with company data and each other. This ecosystem could redefine how businesses interact with AI.

Key Insights:

• Agent Space enables AI agents to access live enterprise data for tailored tasks.

• The Agent Development Kit (ADK) simplifies creating custom agents that connect to tools like calendars or email.

• Agent-to-Agent Protocol (A2A) allows seamless communication between AI agents, fostering coordination and task-sharing.

• Google’s vision resembles a “Search 2.0”: instead of searching for information, users define goals, and agents execute tasks autonomously.

What Can I Learn?

You learn how Google’s new tools give developers and businesses the ability to build smarter, more collaborative agents that:

• Pull from real-time data

• Work across platforms and tools

• Communicate with each other to divide and conquer tasks

Which Benefits Do I Get?

• Faster task execution with connected, goal-driven agents

• Greater flexibility through easy-to-build custom agents

• Increased efficiency as agents handle everything from emails to data analysis

• A scalable ecosystem, potentially replacing traditional UIs with task-specific AI helpers

Why It’s Relevant:

This marks a paradigm shift in AI—moving from isolated assistants to an interconnected workforce of digital agents. Google’s open ecosystem encourages scalable agent collaboration, unlike Microsoft’s more closed Copilot approach. For enterprises, this could mean dramatic boosts in automation, productivity, and AI-driven decision-making. The idea of “AI calling restaurants on your behalf” is just the beginning.

Here is the full Video Tutorial 👉 Click Here

The latest in AI tech

OpenText Titanium X: AI-Powered Enterprise Tools

OpenText has launched Titanium X and Cloud Editions 25.2, bringing AI-driven automation, hybrid cloud support, and embedded AI agents to streamline enterprise operations.
📌 Read More: https://blogs.opentext.com/titanium-x-and-opentext-cloud-editions-25-2/

Verizon Sees 40% Sales Boost with Google AI

Verizon reports a major sales increase after integrating Google’s Gemini AI into customer service. The AI analyzes 15,000 internal documents in real-time to assist agents and free up time for selling.
📌 Read More: https://www.reuters.com/technology/verizon-says-google-ai-customer-service-agents-has-led-sales-jump-2025-04-09/

Google Deep Research + Copilot Upgrades

Google’s Gemini gets new powers—Deep Research compiles reports from across the web, while podcasting and web-based actions expand Copilot’s productivity toolkit.
📌 Read More: https://www.digitaltrends.com/computing/google-gemini-features-deep-research-podcast-microsoft-copilot-launch/

Meta Benchmark Drama: LLaMA 4 Under Fire

Meta claims LLaMA 4 Maverick outperforms GPT-4—but critics say benchmark tests used a special version not publicly available, raising concerns about transparency.
📌 Read More: https://www.theverge.com/meta/645012/meta-llama-4-maverick-benchmarks-gaming

 AI Tools to check out

1. Simplified AI: Skyrocket your social growth with best Social Media AI Agent

2. Ello: Ello is your child’s read-along companion for reading

3. Thoughtly: Phone calls that convert.

4. Mintlify: Meet the next generation of documentation.

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