🛠️ OpenAI's new AI Agent Tools

Also: Meta begins testing its first in-house AI training chip

Author

Evolving AI
March 12, 2025

Welcome, AI enthusiasts

Exciting news from OpenAI: they announced a new Responses API, combining the best of chat and assistant capabilities into one powerful tool. Also, new tools now allow AI agents to perform tasks directly on your computer, opening up endless possibilities for automation and efficiency. Let’s dive in!

In today’s insights:

  • OpenAI's new AI Agent Tools

  • Meta begins testing its first in-house AI training chip

  • Google releases it’s open source Gemma 3

Read time: 4 minutes

LATEST DEVELOPMENTS

Evolving AI: OpenAI launches APIs for smarter AI agents.

Key Points:

  • OpenAI introduces the Responses API, merging chat and assistant features.

  • Enhanced web search and file handling tools now available.

  • New tools enable AI agents to perform computer-based tasks.

Details:

OpenAI has introduced new interfaces and tools to simplify the development of autonomous AI agents, with the Responses API as the centerpiece, combining the functionality of previous interfaces and offering greater flexibility. The web search feature, built with GPT-4o models, achieves high accuracy, and the file search function simplifies handling large documents. OpenAI also unveiled a new tool allowing AI agents computer access, although it currently requires supervision due to a moderate success rate.

Why It Matters:

After releasing their first two agents, Operator and Deep research, OpenAI now feels like it’s time to allow developers to build their own agents to offer to customers. This undoubetdly comes after the recents news we’ve seen with related to Manus. The hype around OpenAI’s AI agent capabilities is real — let’s see if they can deliver on their promise.

Source: wccftech

Evolving AI: Meta is testing its own AI chip to reduce reliance on Nvidia, aiming for better power efficiency.

Key Points:

  • Meta’s new AI chip, part of the MTIA series, is in early testing.

  • The chip is built for AI tasks and could be more power-efficient than GPUs.

  • Success could help Meta rely less on NVIDIA’s GPUs.

Details:

Meta started testing its new AI chip, the MTIA, built to run AI tasks faster and use less power than current GPUs. It's working with chip-maker TSMC and plans to expand if tests go well. Earlier attempts faced setbacks, but now Meta wants to use this chip first for recommendations and later for generative AI like chatbots. Nvidia still dominates AI chips, but Meta’s move could shift the market.

Why It Matters:

Meta isn’t the only one trying to move away from Nvidia — OpenAI also started exploring custom AI chips this year. Less reliance on Nvidia means companies have more control over AI development, potentially lowering costs and speeding up innovation. Could this mark the start of a broader change?

Evolving AI: Google's open source Gemma 3 now handles images, videos, and text, all on one GPU.

Key Points:

  • Gemma 3 AI can now analyze images and short videos.

  • It performs better than other models on single GPUs.

  • Google updated its safety tools to reduce misuse risks.

Details:

Google just updated its Gemma AI family with Gemma 3. This version can handle images, short videos, and text. It performs faster than rivals like OpenAI or DeepSeek’s V3 when running on just one GPU, making it easier for smaller developers to build advanced AI apps. This is major news because it means even less powerful computers can run powerful AI without needing expensive or complicated hardware. Gemma 3 has better image processing, working well with high-quality images of different shapes. It also includes improved safety tools to keep it from being misused.

Why It Matters:

Google’s Gemma 3 allows small businesses and developers to use advanced AI without needing costly equipment. This means more people can create innovative AI-driven products, making the technology accessible to everyone. Nice move, Google!

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