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AI Daily News 20250313: 🚀Google unveils Gemma 3 🤖OpenAI launches new tools for building AI agents 🤝Intel might hand over its manufacturing division to TSM 🖋️Sam Altman teases new creative writing
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AI Daily News 20250313: 🚀Google unveils Gemma 3 🤖OpenAI launches new tools for building AI agents 🤝Intel might hand over its manufacturing division to TSM 🖋️Sam Altman teases new creative writing

🤖 Google Unveils Gemini Robotics And Gemini Robotics-ER 🤖OpenAI releases new DIY agent tools 🤖Manus, Qwen team up for China push

A Daily Chronicle of AI Innovations on March 13th 2025

Google introduced Gemini Robotics for real-world automation and Gemma 3, a versatile and efficient open AI model outperforming competitors. OpenAI launched developer tools, including the Responses API and Agents SDK, to facilitate the creation of autonomous AI agents. Simultaneously, Intel is considering outsourcing its manufacturing, while TSMC discusses a potential joint venture to acquire Intel's foundry business. Additionally, Sam Altman teased a new OpenAI model focused on creative writing, and Manus partnered with Alibaba's Qwen to develop AI agent platforms in China.

🤖 Google Unveils Gemini Robotics And Gemini Robotics-ER

r/ArtificialInteligence - Google Unveils Gemini Robotics And Gemini Robotics-ER, Built To Master The Real World

Google has introduced Gemini Robotics and Gemini Robotics-ER, designed to master real-world applications by integrating advanced AI with robotics.

What this means: This development could push AI-powered robotics into new domains, including manufacturing, logistics, and real-world automation. [Listen] [2025/03/13]

🚀Google unveils Gemma 3

Google releases Gemma 3, its strongest open model AI, here’s how it compares to DeepSeek’s R1

Google introduced Gemma 3, the latest iteration in its series of lightweight, open AI models. Designed for efficiency, Gemma 3 can operate on devices ranging from smartphones to workstations. It supports over 140 languages and boasts advanced text and visual reasoning capabilities. Notably, Gemma 3 offers a 128,000-token context window and includes quantized versions for enhanced performance with reduced computational demands. Google asserts that Gemma 3 outperforms models like Llama-405B, DeepSeek-V3, and o3-mini in preliminary evaluations, making it ideal for applications requiring single-GPU or TPU deployment.

  • Google has introduced Gemma 3, an updated AI model designed for developers to create applications that can run on various devices and support over 35 languages, along with text, image, and video analysis.

  • The new model is claimed to be the world's best single-accelerator AI, surpassing competitors like Facebook's Llama and OpenAI in performance with a single GPU, and it features enhanced support for Nvidia GPUs.

  • Google remains committed to its usage restrictions for Gemma, while promoting it with Google Cloud credits and offering a Gemma 3 Academic program for researchers to receive $10,000 in credits for their projects.

🤖OpenAI launches new tools for building AI agents

OpenAI released a suite of developer tools aimed at facilitating the creation of sophisticated AI agents. Central to this release is the Responses API, which combines functionalities of previous APIs and introduces capabilities such as real-time web search and file system access. This API allows developers to build agents capable of performing complex tasks autonomously, including web searches and data analysis. Additionally, OpenAI introduced the Agents SDK to help developers manage and coordinate multiple AI agents, streamlining the development of complex workflows.

  • OpenAI has introduced a new suite of APIs and tools, including the Responses API and the open-source Agents SDK, to help developers create AI-powered agents efficiently using the same technology behind its own AI agents.

  • The Responses API integrates features from OpenAI's existing APIs, allowing developers to use built-in tools like web and file search within a single call, which simplifies building applications requiring complex interactions.

  • The open-source Agents SDK enables developers to manage AI agent workflows, offering features like intelligent handoffs and tracing, while supporting the use of different models, including those from competitors like Google and Anthropic.

🤝Intel might hand over its manufacturing division to TSM

Reports indicate that Intel is contemplating outsourcing parts of its manufacturing division to industry leaders like Taiwan Semiconductor Manufacturing Company (TSMC) and Nvidia. This strategic move aims to enhance production efficiency and leverage the advanced fabrication technologies of these companies. The decision underscores Intel’s efforts to remain competitive in the rapidly evolving semiconductor industry.

  • OpenAI has introduced a new suite of APIs and tools, including the Responses API and the open-source Agents SDK, to help developers create AI-powered agents efficiently using the same technology behind its own AI agents.

  • The Responses API integrates features from OpenAI's existing APIs, allowing developers to use built-in tools like web and file search within a single call, which simplifies building applications requiring complex interactions.

  • The open-source Agents SDK enables developers to manage AI agent workflows, offering features like intelligent handoffs and tracing, while supporting the use of different models, including those from competitors like Google and Anthropic.

🤝Intel might hand over its manufacturing division to TSM

OpenAI CEO Sam Altman hinted at the development of a new AI model proficient in creative writing. This model has demonstrated the ability to produce human-like narratives, particularly in the metafiction genre. While specific details regarding its public release remain undisclosed, the model’s capabilities have sparked discussions about the implications of AI-generated content in the creative industry. This development also raises ongoing debates about copyright and the use of AI in content creation.

These advancements reflect the continuous innovation in AI and semiconductor technologies, highlighting the dynamic nature of the tech industry.

  • TSMC is in discussions with major US tech companies, including Nvidia, AMD, Broadcom, and Qualcomm, about a joint venture to acquire Intel's foundry business, with input from the Trump administration.

  • The Taiwanese company plans to hold less than 50 percent ownership in the proposed venture, which aims to address Intel's recent financial struggles, including a significant net loss of $18.8 billion in 2024.

  • Nvidia and Broadcom have started testing Intel's advanced 18A manufacturing technology, with AMD also considering its use, as the US government emphasizes that Intel's foundry division should remain under partial domestic control.

🖋️Sam Altman teases new creative writing

  • Sam Altman announced that OpenAI has developed a new AI model specifically for creative writing, claiming it produces high-quality metafictional content.

  • Despite improvements in AI-generated literature, the new model's writing lacks the emotional depth and human touch that typically engage readers in traditional fiction.

  • While AI may not yet threaten skilled fiction writers, Altman suggests it could find a niche in genre fiction, which often tolerates more formulaic storytelling.

🤖OpenAI releases new DIY agent tools

OpenAI just launched new tools that let businesses build their own AI agents—enabling custom bots to handle tasks like web browsing and file management and marking a major push toward bringing autonomous AI assistants into the enterprise.

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

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

  • A 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 search through enterprise documents.

Why it matters: 2025 has already been declared the year of AI agents, and China’s Manus took the hype to another level in the past week. While most agents have generated more hype than results, OpenAI expanding the ability for users to build and customize agentic tools may help bridge the gap between demos and real-world utility.

🤖Manus, Qwen team up for China push

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

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

  • Manus, which currently runs on both 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 new open-source reasoning model (QwQ-32B) and major upgrades to its chat platform.

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

What Else Happened in AI on March 13th 2025?

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 3.7 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 will be writing 90% of the world’s code in the next 3-6 months and reaching nearly 100% in the next year.

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 new model that excels at creative writing, saying it is the “first time I have been really struck by something written by AI”.

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

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

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