OpenAI’s recent agent toolkit

Good morning, AI enthusiasts. The 12 months of AI agents just got a significant push forward — with OpenAI releasing powerful recent tools that permit businesses construct their very own autonomous assistants.

With capabilities like web browsing, file management, and computer use in a single API, is that this the breakthrough that finally transforms the agent hype into an enterprise-ready reality?

In today’s AI rundown:

• OpenAI releases recent DIY agent tools

• Manus, Qwen team up for China push

• Connect AI coding assistants with external tools

• Meta testing its own AI training chip

• 4 recent AI tools & 4 job opportunities

LATEST DEVELOPMENTS

OPENAI

🤖 OpenAI releases recent DIY agent tools

The Rundown: OpenAI just launched recent tools that permit businesses construct their very own AI agents—enabling custom bots to handle tasks like web browsing and file management and marking a significant push toward bringing autonomous AI assistants into the enterprise.

The main points:

• The brand new Responses API combines web search, file scanning, and computer use capabilities, replacing the older Assistants API, which is able to sunset in 2026.

• It allows firms to develop agents using the identical tech powering Operator, with built-in tools for searching the online and navigating computer interfaces.

• A brand new open-source Agents SDK will help developers orchestrate single and multi-agent systems while also providing safety guardrails and monitoring tools.

• Early adopters include Stripe, which built an agent to handle invoicing, and Box, which created agents to look through enterprise documents.

Why it matters: 2025 has already been declared the 12 months of AI agents, and China’s Manus took the hype to a different level previously week. While most agents have generated more hype than results, OpenAI expanding the power for users to construct and customize agentic tools may help bridge the gap between demos and real-world utility.

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MANUS & ALIBABA

🤖 Manus, Qwen team up for China push

The Rundown: Manus just announced a strategic partnership with Alibaba’s Qwen team to develop a Chinese version of its autonomous agent platform, following the corporate’s viral success over the past week.

The main points:

• The collaboration will integrate Manus’s agent capabilities with Qwen’s open-source language models and computing infrastructure.

• Manus, which currently runs on each Anthropic’s Claude and Qwen, will adapt its full feature set for Chinese users and domestic platforms.

• The partnership follows Manus’ invitation-only preview that demonstrated capabilities surpassing OpenAI’s DeepResearch on agentic benchmarks.

• Qwen has also had a busy month, launching a brand new open-source reasoning model (QwQ-32B) and major upgrades to its chat platform.

Why it matters: We’ve seen loads of viral AI products fade fast, but a partnership with certainly one of China’s top AI labs suggests there’s more here than simply hype. While many dismissed Manus for running on Claude, it’s becoming clear that real value lies in packaging top models with the fitting tools, workflows, and interface.

AI TRAINING

🛠️ Connect AI coding assistants with external tools

The Rundown: On this tutorial, you’ll learn tips on how to connect your favorite AI coding assistants, like Cursor or Windsurf, to powerful external tools using MCP (model context protocol) servers to tackle more complex coding tasks.

Step-by-step:

1. Select your AI coding assistant (Windsurf or Cursor) and locate the MCP configuration area.

2. For Windsurf: Click the tools icon, select “Configure,” and add the JSON code that connects to your required service.

3. For Cursor: Open Settings > Features > MCP Servers and add a brand new server with the command that features your API key.

4. Start using enhanced capabilities by asking your AI assistant to access external tools in your prompts.

Pro tip: Many MCP tool providers offer detailed documentation on GitHub repositories. Check these resources for specific commands and capabilities available for every tool.

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META

🏗️ Meta testing its own AI training chip

The Rundown: Meta just began testing its first in-house AI training chip, in line with a brand new report from Reuters — with the corporate hoping to cut back dependence on Nvidia and control its soaring AI infrastructure costs.

The main points:

• The chip is being manufactured by TSMC and is a component of Meta’s MTIA series—aimed specifically at AI training and inference workloads.

• Its test follows the corporate’s successful first “tape-out” — an important development milestone that proves a chip design could be manufactured at scale.

• Meta already uses in-house chips for Facebook and Instagram’s advice systems, with plans to expand to power genAI products.

• It plans to begin deploying the brand new training chips at scale by 2026, potentially saving billions on its projected $65B AI infrastructure spend.

Why it matters: With infrastructure costs skyrocketing and AI systems scaling rapidly, tech giants are increasingly investing in in-house silicon to chop costs and gain greater control. Meta is the most recent to affix this shift, aligning with OpenAI, Amazon, ByteDance, and others in reducing reliance on Nvidia—the chipmaking king.

QUICK HITS

🛠️ Trending AI Tools

• 💼 Fyxer AI – An AI Executive Assistant to allow you to gain an hour each day with organized emails, tone-matched replies, and crisp meeting notes*

• 🤖 Hunyuan-TurboS – Tencent AI that beats SOTA models on math, reasoning

• 🔎 Perplexity Windows App – Recent desktop app for AI-powered web search

• 🦉OWL – An open-source alternative to Manus AI’s agentic platform

*Sponsored Listing

💼 AI Job Opportunities

• 🖥️ xAI – Senior Frontend Engineer, Autonomous Agents

• 💰 DeepL – Senior Backend Engineer (Monetization)

• 📑 Dataiku – Global Accounts Receivable Manager

• 🔍 Luma AI – Sourcer, Product & Research

📰 All the pieces else in AI today

Anthropic has seen its annualized revenue grow to $1.4B this month, coming on the heels of Claude powering Manus and the recent Claude Code and three.7 Sonnet release.

Reka open-sourced Flash 3, a 21B parameter reasoning model rivaling OpenAI’s o1-mini with a 32k context length and size for on-device deployment.

Anthropic CEO Dario Amodei predicted that AI shall be writing 90% of the world’s code in the following 3-6 months and reaching nearly 100% in the following 12 months.

Voice AI platform Cartesia announced $64M in Series A funding and unveiled Sonic 2.0 and Sonic Turbo AI with speed, ultra-realistic speech, and support for 16 languages.

Sam Altman revealed that OpenAI has trained a brand new model that excels at creative writing, saying it’s the “first time I actually have been really struck by something written by AI”.

Harvey unveiled recent AI agents with planning and adaptation capabilities that match or exceed lawyer performance on key legal tasks.

Luma Labs introduced Inductive Moment Matching, a brand new pre-training technique to generate superior quality images 10x more efficiently than current approaches.

COMMUNITY

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See you soon,

Rowan, Joey, Zach, Alvaro, and Jason—The Rundown’s editorial team