OpenAI’s newest developer AI brings search capabilities to AI agents
The future of artificial intelligence will be dominated by AI agents, and [OpenAI](https://openai.com) is now trying to accelerate that reality by letting developers build their own.
Responses API
Today the AI company [announced](https://openai.com/index/new-tools-for-building-agents/) the availability of a new “Responses API,” which simplifies the process of creating and deploying AI agents that can perform tasks for their users independently.
The Responses API lets developers create AI agents that are powered by OpenAI’s large language models, and is set eventually to replace the existing Assistants API, which will be retired in about one year, the company said.
Capabilities
OpenAI says the new offering will facilitate the creation of AI agents that are able to employ a file search tool to scan a company’s internal datasets and search the wider internet. Such capabilities are similar to OpenAI’s recently announced [Operator agent](https://siliconangle.com/2025/01/23/openai-releases-operator-agent-rivals-enhance-ai-services/), which relies on a Computer-Using-Agent or CUA model to help automate tasks such as data entry.
It’s worth pointing out that OpenAI has previously acknowledged that the CUA model is somewhat unreliable when trying to automate tasks on operating systems, and it has been known to make mistakes. As such, OpenAI warns developers that the Responses API should still be considered an “early iteration,” and says it will become more reliable over time.
Models
When using Responses API to create an AI agent, developers can choose from two models: GPT-4o search and GPT-4o mini search. According to the company, both are capable of browsing the web autonomously to try and find answers to questions, and they also cite the sources that inform their responses.
It’s an important capability because OpenAI said the ability to search the web and scour a company’s private datasets can significantly improve the accuracy of its models and therefore the agents based on them. The company demonstrated just how superior its search-capable models are on its own, SimpleQA benchmark, which is designed to measure the confabulation rate of AI systems.
According to OpenAI, GPT-4o search achieved a 90% score, while GPT-4o mini search scored 88%. In contrast, [the new GPT-4.5 model](https://siliconangle.com/2025/02/27/openai-expands-llm-lineup-new-general-purpose-gpt-4-5-model/), which has many more parameters and is therefore much more powerful, scored only 63% on the same benchmark, because it lacks the ability to search for additional information.
Even so, developers would do well to remember that although these models bring improvements, the search functionality doesn’t completely fix all AI confabulations or hallucinations. The benchmark scores suggest GPT-4o search still makes factual mistakes in around 10% of its responses. Such an error rate may be intolerably high for many agentic AI workloads.
Still, OpenAI wants to encourage developers to get started, at least. In addition to the Responses API, it released an open-source Agents SDK that provides tools for integrating AI models and agents with internal systems. It also provides tools for implementing safeguards and monitoring the activities of AI agents.
It follows the release of another tool called Swarm, which provides a framework for developers to manage and orchestrate multiple AI agents.
Market Share Strategy
The new tools are all about increasing the market share of OpenAI’s LLMs. According to Damian Rollison, director of market insights at the agentic AI startup SOCi Inc., the company has used a similar strategy already when it embedded ChatGPT with Apple Inc.’s Siri in the new Apple Intelligence suite, exposing it to a new audience of users.
"The new Responses API opens up the possibility for even broader exposure and acclimation of the general public to the concept of AI agents, perhaps embedded in a range of tools they already use,” Rollison said.
Developer Response
No doubt some developers will be eager to see what kinds of AI agents they can create, but it’s important to remember that these technologies are still nascent and not always as effective as some users might claim. Earlier this week, a Chinese startup took the internet by storm with the debut of an AI agent called Manus that wowed some early adopters, only to be quickly [found wanting](https://siliconangle.com/2025/03/09/chinas-newest-ai-agent-manus-gets-global-attention-autonomous-smarts/) once it became more widely available.
7 Free AI Tools That Can Make You Money in 2025
Wouldn’t it be great if you could easily convert your creativity and skills into income, with the help of [AI tools](https://www.geeky-gadgets.com/eden-ai-unified-platform-overview/) that don’t cost a dime. Sounds too good to be true? The rapid evolution of artificial intelligence (AI) is making this a reality. Whether you’re a freelancer trying to diversify your offerings, an entrepreneur looking to streamline your processes, or simply someone eager to explore new ways to earn, AI is opening doors to opportunities that were once unimaginable. And the best part? You don’t need to be a tech wizard or have a hefty budget to get started.
In this overview, Christian Peverelli from We Are [No Code](https://www.geeky-gadgets.com/how-to-build-a-website-in-10-minutes/), introduces you to seven free AI tools that are not only accessible but also packed with potential to help you generate income. From creating custom music and stunning visuals to building apps without coding, these tools are designed to empower anyone—regardless of experience—to turn their ideas into profitable ventures.
Free AI Tools
**TL;DR Key Takeaways :**
- Google AI Studio enables data analysis and training material creation, offering opportunities to monetize skills like Excel consulting or course creation.
- Gamma simplifies visual content creation, allowing users to design presentations, eBooks, and marketing materials for freelance or passive income opportunities.
- Suno uses AI to generate custom music, providing a platform to create and sell unique audio content for podcasts, advertisements, and more.
- Leonardo AI transforms 3D design, allowing professionals to create assets for architecture, gaming, and product photography, opening doors to specialized design services.
- AI coding tools allow non-technical users to build apps and websites, offering lucrative opportunities in custom development and digital solutions.
1. Google AI Studio: Streamline Data Analysis and Teach Skills
Google AI Studio is a robust platform that combines advanced spreadsheet analysis with real-time collaboration. This tool is ideal for processing large datasets, identifying trends, and creating actionable insights. With its capabilities, you can design and sell data-focused training materials, such as Excel courses, or offer consulting services to businesses aiming to improve their data management strategies. The growing demand for data literacy makes this tool an excellent resource for monetizing your expertise. Additionally, Google AI Studio’s collaborative features allow you to work seamlessly with clients or teams, enhancing productivity and efficiency.
2. Gamma: Effortless Visual Content Creation
Gamma simplifies the creation of professional-grade visual content, including presentations, websites, and marketing materials. Its intuitive platform enables users to quickly produce pitch decks, eBooks, and other assets that meet the needs of startups, corporate clients, or personal projects. By positioning yourself as a specialist in visual content creation , you can offer services such as designing professional presentations or creating branded eBooks for passive income. Gamma’s versatility makes it a valuable tool for freelancers, small businesses, and marketers looking to stand out in competitive markets.
3. Suno: Generate Custom Music with AI
Suno uses AI to create personalized music tailored to various needs, such as podcast intros, advertisement jingles, or custom songs for special occasions. This tool is particularly useful for freelancers and creatives looking to monetize their audio production skills. By offering custom music services on freelance platforms, you can tap into the growing demand for unique audio content. Whether you’re composing jingles for businesses or creating theme music for content creators, Suno provides an innovative way to turn your creativity into a profitable venture.
4. Leonardo AI: Transform 3D Design
Leonardo AI is a powerful tool for professionals in architecture, interior design, and game development. It specializes in generating high-quality 3D assets, character designs, and product photography. With Leonardo AI, you can offer specialized design services to clients or integrate its capabilities into your own projects, such as mobile apps or video games. The increasing reliance on high-quality visuals across industries makes this tool a competitive asset for creative professionals. By mastering Leonardo AI, you can position yourself as a leader in innovative design solutions.
5. 11 Labs: Realistic Voice Generation and Cloning
11 Labs focuses on AI-powered voice generation with customizable emotional tones, allowing users to create realistic voiceovers or clone voices for various applications. This tool is ideal for offering voiceover services for audiobooks, advertisements, or video content. Additionally, businesses seeking custom AI-generated voices for branding purposes represent another lucrative opportunity. With its advanced features, 11 Labs allows you to explore diverse income-generating possibilities, from creating engaging audio content to providing unique branding solutions for clients.
6. DeepSeek: Advanced Research and Strategy Insights
DeepSeek combines AI-driven research capabilities with strategic insights, making it an indispensable tool for consultants, business developers, and market analysts. It streamlines the process of creating detailed reports, market analyses, and go-to-market strategies. By using DeepSeek, you can position yourself as a valuable resource for startups and established businesses alike. Offering high-quality, actionable recommendations efficiently can help you build a reputation as a trusted consultant while generating consistent income.
7. AI Coding Tools: Build Apps and Websites Without Coding
AI coding tools empower users to create apps and websites without requiring extensive technical expertise. These platforms often include features like backend development, AI integration, and user-friendly interfaces, allowing you to build functional digital solutions. By offering custom app or website development services , you can cater to clients who need tailored solutions but lack the skills to create them. This not only generates income but also allows you to build a portfolio of innovative projects, showcasing your ability to deliver high-quality digital products.
Unlocking Opportunities with AI Tools
The rise of AI tools in 2025 presents unprecedented opportunities for individuals and businesses to generate income. From creating visual content and personalized music to building apps and conducting strategic research, these seven free tools offer scalable solutions for users of all skill levels. By using these technologies, you can transform your skills into profitable ventures, positioning yourself for success in an increasingly AI-driven economy. Whether you’re looking to start a side hustle or expand your professional offerings, these tools provide the foundation to thrive in the evolving digital landscape.
Introduction to the Impact of Climate Change on Global Agriculture
Climate change is one of the most pressing issues facing global agriculture today. This article explores how rising temperatures, changing precipitation patterns, and increased frequency of extreme weather events are affecting crop yields, livestock health, and overall food security.
Key Statistics on Climate Change in Agriculture
According to the Food and Agriculture Organization (FAO), by 2050, climate change could reduce global crop yields by up to 30%. Additionally, the Intergovernmental Panel on Climate Change (IPCC) reports that temperature increases of just 1.5°C can lead to significant reductions in wheat, maize, and rice production.
Impact on Crop Yields
Rising temperatures are causing shifts in growing seasons and altering the distribution of pests and diseases. For example, a study published in Nature Climate Change found that higher temperatures can reduce maize yields by up to 20%.
Case Study: Maize Production in Sub-Saharan Africa
In sub-Saharan Africa, maize is a staple crop. A report by the International Food Policy Research Institute (IFPRI) indicates that climate change could lead to a 25% reduction in maize yields by 2030.
Impact on Livestock Health and Productivity
Higher temperatures can affect livestock health, leading to reduced productivity. The World Organisation for Animal Health (OIE) reports that heat stress in dairy cows can decrease milk production by up to 10%.
Case Study: Heat Stress in Dairy Cows
A study published in the Journal of Dairy Science found that heat stress can reduce milk production by up to 10%.
Food Security and Adaptation Strategies
The impact of climate change on agriculture poses significant challenges for food security. To address these issues, farmers are adopting various adaptation strategies such as crop diversification, improved irrigation systems, and the use of drought-resistant crops.
Case Study: Crop Diversification in India
In India, farmers are diversifying their crop varieties to include more drought-resistant species. A report by the Indian Council of Agricultural Research (ICAR) highlights that this approach has helped increase resilience against climate variability.
Conclusion
In conclusion, the impact of climate change on global agriculture is multifaceted and far-reaching. Addressing these challenges requires a comprehensive approach that includes both mitigation efforts to reduce greenhouse gas emissions and adaptation strategies to enhance agricultural resilience.