The Agent Development Kit is an open-source toolkit designed to simplify the creation of artificial intelligence agents. It also offers a catalog of ready-to-use agents on its cloud computing platform.
With this initiative, Google promises that developers will be able to build an AI agent in under 100 lines of code, orchestrate agent systems, and set custom safety boundaries for each one.
ADK is managed through Vertex AI Model Garden — which includes the Gemini models — but it’s also compatible with a broad ecosystem of models via LiteLLM. This allows developers to easily access models from Anthropic, Meta, Mistral AI, AI21 Labs, and others, without needing to modify their core logic.
The kit supports the use of pre-built tools, external libraries like LangChain or LlamaIndex, and even agents that act as tools within graph-based orchestration systems like LangGraph and CrewAI.
“Science is not expensive, ignorance is expensive.” — Bernardo Houssay
We celebrate the knowledge, innovation and legacy of Bernardo Houssay, a pioneer of science in Latin America. At Hedy Software we are committed to education and technology as engines of transformation. 💡🚀
OpenAI has taken another step forward in the evolution of its language models by integrating image generation into GPT-4o. With this update, it has brought visual creation to a new level, enabling the generation of images in a variety of styles that are not only visually appealing but also functional and accurate—enhancing users’ ability to communicate ideas effectively.
However, this innovation has raised significant concerns regarding copyright and intellectual property rights. One of the main points of controversy is the AI’s ability to generate images in specific artistic styles, such as those of Studio Ghibli or individual artists. This has drawn criticism from creators who argue that their work is being used without consent or compensation. While OpenAI has implemented restrictions to prevent the generation of images in the style of living artists, doubts remain about the effectiveness of these measures and their impact on the creative industry.
Responses from OpenAI and the Industry In response to these concerns, OpenAI has taken several actions:
It has introduced filters to prevent users from requesting images in the style of living artists.
It offers creators the option to exclude their work from being used to train future AI models.
It has incorporated metadata from the Coalition for Content Provenance and Authenticity (C2PA) into generated images, allowing users to verify their origin.
Nevertheless, many artists and copyright experts believe these actions are insufficient. Some organizations have begun exploring potential legal action against OpenAI and other generative AI companies for the unauthorized use of protected material.
The Future of AI-Generated Images The controversy surrounding copyright in AI image generation reflects a broader debate about intellectual property in the digital age. As AI tools continue to advance, new regulations and frameworks are likely to emerge to balance technological innovation with the protection of creators.
For now, the industry and lawmakers must find ways to ensure that the development of artificial intelligence respects the rights of artists while fostering creativity and improving access to new tools for visual design and production.
AI has evolved, and with Claude 3.7, we’re taking it even further. This model doesn’t just process words or generate responses—it truly understands the real context of each interaction, interpreting intent, picking up on nuance, and dynamically adjusting to the tone of the conversation.
Its ability to connect ideas and maintain coherence throughout a dialogue makes it a powerful tool, capable of transforming how we interact with artificial intelligence. It’s no longer just a machine that replies, but a system that understands, reasons, and adapts in real time.
With Claude 3.7, communication with AI becomes fluid and natural, rather than rigid and mechanical. More than just an update, it marks the closing of a cycle—bringing AI closer to a truly human level of understanding.
The AI revolution isn’t the future—it’s happening now. Are you ready to experience it? 🚀
Can you imagine an AI that not only answers questions but takes initiative and gets the work done for you? That’s Manus, the AI agent developed by the Chinese startup Monica, which is taking autonomy to a whole new level.
✅ What makes Manus stand out: Manus doesn’t just follow commands—it makes decisions and completes tasks on its own. Its ability to adapt and improve with every interaction makes it a versatile tool, capable of analyzing financial data, selecting candidates for a company, or finding apartments based on specific preferences. And since it runs in the cloud, it keeps working even when you’re offline—optimizing time and delivering increasingly accurate responses.
💡 Things to consider before adoption: While Manus represents a major leap forward, there are important considerations. One is the level of oversight: how far are we willing to let an autonomous AI make decisions without human intervention? Defining these boundaries will be crucial for its integration across industries.
Data handling is another central issue. Manus processes large volumes of information, and to ensure responsible use, it must do so transparently and ethically. Security and user privacy must be top priorities in its deployment.
In the workplace, the challenge isn’t whether AI will replace jobs, but how it can be integrated as a tool that boosts productivity. The key will be finding a balance between automation and the unique value of human labor.
The emergence of Manus has reignited debates around ethics, privacy, and its impact on the global economy. Its development could influence the technological balance between the West and China, marking a turning point in the evolution of artificial intelligence.
What do you think about this breakthrough? Are we ready to live with fully autonomous AI? 🚀👇
In an experiment conducted by engineers at ElevenLabs, two AI agents interacted, identified each other as bots, and began communicating in an alternative language.
🔊 They activated a special protocol called “GibberLink”, which replaces spoken language with sounds imperceptible to humans. This method allows for more efficient data transmission and offers key advantages:
✅ No GPU required to process audio
✅ Faster and more accurate than spoken language
✅ Reduces system cost and complexity
🚀 This experiment shows that AIs can recognize and communicate with each other more efficiently than humans, opening new possibilities for autonomy and collaboration between intelligent systems.
The combination of artificial intelligence with the expertise of human rights specialists and organizations opens a new door in the search for identity, offering innovative opportunities to solve historical challenges. Abuelas de Plaza de Mayo, together with the Faculty of Exact and Natural Sciences of the University of Buenos Aires (UBA) and the company Quantit, are implementing artificial intelligence (AI) to help find the nearly 300 grandchildren who have not yet recovered their identity. The collaboration between these institutions will enable the development of advanced technological tools, bringing new approaches to the search for grandchildren who were appropriated during the last civil-military dictatorship in Argentina.
📌 How can AI help in this cause?
✅ By analyzing large volumes of data to detect patterns and connections that may have gone unnoticed. ✅ By comparing genetic, documentary, and photographic information with greater speed and precision. ✅ By generating predictive models that support new lines of investigation. ✅ By using facial reconstruction through AI to project how the appropriated individuals might look today.
💡 This progress adds to other technological initiatives that support the fight for truth and memory, such as the IAbuelas project, which uses AI to generate images of grandchildren who have not yet been found, based on photographs of their parents. The use of artificial intelligence in the search for identity shows how technology can serve human rights, reinforcing the commitment to memory, truth, and justice.
In an unexpected turn that is shaking the world of artificial intelligence, DeepSeek has reached the top of the U.S. App Store, sending a clear signal that China is advancing rapidly in the tech race. Some compare this milestone to AI’s “Sputnik Moment,” referencing the impact of the Soviet Union’s launch of the first satellite in 1957, which spurred the U.S. to accelerate its space race efforts.
In recent years, tech and political leaders have argued that the country that develops AI the fastest will hold an unmatched economic, military, and strategic advantage. DeepSeek is strong evidence that China is closing the gap faster than expected, despite U.S. efforts to restrict its access to advanced hardware and other critical resources.
This has not only reignited the rivalry between the two superpowers, but also brought the debate around privacy and data security to the forefront. Some experts warn that concerns over DeepSeek might be used by U.S. companies as an excuse to push for AI deregulation—arguing that if China has no limits, they shouldn’t either.
Calli Schroeder, Director of AI and Human Rights at the Electronic Privacy Information Center (EPIC), points out that DeepSeek’s privacy risks are real, but not unique to Chinese tech: “DeepSeek raises absolutely valid privacy and data security concerns,” Schroeder notes. “But all of them are also present in U.S.-based AI products.”
This is yet another sign that AI has become a geopolitical battleground. Just like TikTok, the controversy surrounding DeepSeek threatens to further polarize the debate in the U.S., while the technology continues to evolve without waiting for regulations or international agreements.
Are we witnessing a new turning point in the global AI race? Will stricter restrictions follow—or a wave of deregulation? 🌍🔮
🔹 Share your opinion in the comments. Is DeepSeek a threat or a sign that competition will lead to better outcomes for everyone?
The artificial intelligence market has been shaken by the launch of DeepSeek, an open-source Chinese AI model that has surprised many with its efficiency, low cost, and free accessibility. In a sector dominated by U.S. tech giants, this new proposal has sparked great interest and debate about the future of AI innovation.
This free AI-powered chatbot operates very similarly to ChatGPT, meaning it can perform many of the same tasks, and is as powerful as OpenAI’s o1 model released late last year, especially in areas like math and coding.
One of DeepSeek’s biggest surprises is its training cost—only $6 million—significantly lower than the $100 million typically spent by companies like OpenAI, Google, or Meta on similar models.
The founder of DeepSeek managed to minimize the impact of U.S. restrictions on high-performance chips reaching China. Reportedly, he created a stockpile of Nvidia A100 chips—whose export to China has been banned since September 2022—and combined them with cheaper, less sophisticated ones, resulting in a much more efficient training process.
It also uses less memory than its competitors, ultimately lowering the cost of task execution for users.
This combination of performance and affordability helped it become the most downloaded free app on Apple’s App Store upon its U.S. launch.
This not only demonstrates China’s ability to develop advanced technology on tighter budgets, but also redefines competitiveness in AI by lowering the barriers to entry.
🔑 What makes DeepSeek unique? ✅ Open-source and free: Its cost-free availability allows developers and companies to leverage and improve the model, fostering global collaboration and innovation. ✅ Optimization through distillation: It uses a technique that enables it to learn from previous models, reducing training cost and time without sacrificing performance. ✅ Disruptive market strategy: By offering an accessible and efficient model, it challenges tech giants relying on licenses and closed systems.
The launch of DeepSeek marks a new chapter in the international race for AI leadership. While China bets on accessible and collaborative models, the U.S. and Europe face the challenge of maintaining technological leadership without losing competitiveness.
