Jensen Huang defends DLSS 5 as Nvidia develops AI agents

Nvidia CEO Jensen Huang is actively defending DLSS 5, stating that critics misunderstand its generative AI capabilities. He explains that DLSS 5 fuses game geometry with generative AI, giving developers precise control over artistic style, allowing them to fine-tune effects like glass or cartoon shaders. An Epic Games producer echoed this sentiment, calling the criticism "insane" and emphasizing the significant lighting and shading improvements, along with the extensive developer control offered by the technology. DLSS 5 is slated for release this fall.

Beyond gaming, Jensen Huang also sees OpenClaw, an open-source autonomous AI agent platform, as the next major advancement following ChatGPT. He notes that OpenClaw agents can perform complex tasks and make decisions with minimal user input, going beyond simple question answering. Nvidia is developing NemoClaw to ensure the security and privacy of these powerful AI agents, enabling users to create sophisticated agents with just a single line of code.

The financial sector is also embracing AI, with Binance and Binance Wallet launching new AI Agent Skills to enhance trading and asset management. These skills provide AI agents with access to Binance Alpha market data, derivatives, margin trading, and asset management features, offering a unified interface for deeper analytics and real-time pricing. However, this advancement comes with risks; Bitget and SlowMist warn that AI agents executing trades can lead to immediate financial losses due to errors, highlighting new attack surfaces like prompt injection and over-permissioned APIs. Salt Security is addressing these concerns with its new Agentic Security Platform, designed to secure enterprise AI agents by providing visibility and governance across their interactions.

AI's influence extends to creative industries and the very foundation of computing. Universal Music Group CEO Lucian Grainge is optimistic about AI's role in music, believing it will augment artists in idea generation and production, while also combating piracy. Meanwhile, former Google CEO Eric Schmidt suggests that traditional computer programming is nearing its end, as AI can now generate complex code, shifting the role of computer scientists to supervising these AI systems. This shift is partly fueled by the growing adoption of open-source AI models, which many tech leaders favor for their flexibility, cost-effectiveness, and customization, despite security concerns that are often mitigated by community-driven patching.

The Indian Institute of Science's CCE is preparing for future communication technologies with a new online course on machine learning for 6G wireless communication, incorporating AI and Python. Yet, the proliferation of AI also brings challenges, such as the rise of convincing deepfakes that can undermine the authenticity of viral moments, like those from the Oscars, making it harder to discern reality. Countering this, Sony is developing its own Protective AI, trained on Studio Ghibli movies, to combat copyright infringement by generating prompts that mimic specific art styles, effectively fighting AI-generated plagiarism with AI itself.

Key Takeaways

  • Nvidia CEO Jensen Huang defends DLSS 5, explaining it fuses game geometry with generative AI for developer artistic control, with a fall launch expected.
  • An Epic Games producer supports DLSS 5, calling criticism "insane" due to significant lighting/shading improvements and developer control.
  • Jensen Huang identifies OpenClaw, an open-source autonomous AI agent platform, as the next major advancement after ChatGPT, with Nvidia developing NemoClaw for security.
  • Binance and Binance Wallet launched new AI Agent Skills for enhanced trading, asset management, and market intelligence, including access to Binance Alpha data and derivatives trading.
  • Bitget and SlowMist warn of significant security risks with AI agents executing trades, citing prompt injection and over-permissioned APIs as new attack surfaces.
  • Salt Security introduced the Salt Agentic Security Platform to secure enterprise AI agents, offering visibility and governance across LLMs, MCP servers, and APIs.
  • Universal Music Group CEO Lucian Grainge believes AI will augment artists in music creation, assist with production, and combat piracy, emphasizing collaboration.
  • Former Google CEO Eric Schmidt states that traditional computer programming is ending, with AI now generating complex code and computer scientists shifting to supervising AI systems.
  • Sony is developing Protective AI, trained on Studio Ghibli data, to combat copyright infringement by generating style-mimicking prompts, fighting AI plagiarism with AI.
  • Many tech leaders embrace open-source AI models for their flexibility, cost-effectiveness, and customization, believing benefits outweigh risks, with community patching addressing security concerns.

Nvidia CEO defends DLSS 5 against gamer criticism

Nvidia CEO Jensen Huang stated that gamers criticizing DLSS 5 are mistaken. He explained that DLSS 5 combines game geometry with generative AI, allowing developers to control the artistic style. Huang emphasized that this technology offers generative control at the geometry level, not just post-processing. Developers can fine-tune the AI to match their vision, for example, creating a glass effect or a toon shader. DLSS 5 is expected to launch in the fall.

Epic Games producer calls DLSS 5 criticism 'insane'

An Epic Games lead producer called criticism of Nvidia's DLSS 5 "absolutely insane," stating that gamers would praise it if it were presented as next-gen hardware. He argued that the lighting and shading improvements are significant and that DLSS 5 offers substantial developer control. The producer believes concerns about art direction are invalid because developers can fine-tune the AI. He also noted that technology like AI is here to stay, regardless of personal opinions.

Nvidia CEO: DLSS 5 critics misunderstand generative AI

Nvidia CEO Jensen Huang believes critics of DLSS 5 are wrong about how the generative AI technology works. He explained that DLSS 5 fuses game geometry with generative AI, giving developers control over artistic style rather than just applying post-processing. Huang stated that developers can fine-tune the AI to create specific looks, like a cartoon style or a glass effect. Despite some online criticism focusing on how demos make game characters look altered, Huang maintains that developers have direct artistic control.

Binance expands AI agent skills for trading and asset management

Binance and Binance Wallet have launched new AI Agent Skills to enhance trading, asset management, and market intelligence. Four new skills include access to Binance Alpha market data, derivatives trading, margin trading, and asset management features. These additions build upon seven existing skills, providing AI agents with a unified interface for deeper trading infrastructure and analytics across Binance's platforms. The new capabilities allow agents to access real-time pricing, manage orders, and handle deposits and withdrawals with enhanced security.

Bitget and SlowMist warn of AI trading risks

Bitget and SlowMist have released a report detailing the security risks associated with AI agents executing trades. As AI moves from advisory roles to direct trading, errors can lead to immediate financial losses due to the instant settlement of crypto markets. The report highlights new attack surfaces like prompt injection and over-permissioned APIs. Bitget is addressing these risks by separating intelligence, execution, and authorization layers, and implementing least-privilege access and transaction verification.

IISc CCE offers 6G wireless ML course with AI and Python

The Indian Institute of Science's Centre for Continuing Education (CCE) is offering a new online course on machine learning for 6G wireless communication. The program, running from May 4 to July 29, 2026, includes modules on Python, 3GPP-based technologies, and AI. Live online classes will be held on Mondays and Wednesdays from 8:00 PM to 9:30 PM. Prior knowledge of wireless communication and basic Python programming is required. The course covers technical modules and applications like resource allocation and spectrum sharing.

Nvidia CEO: OpenClaw is the next ChatGPT

Nvidia CEO Jensen Huang believes OpenClaw, an open-source autonomous AI agent platform, is the next major advancement after ChatGPT. He stated that OpenClaw agents can take actions and make decisions with minimal user input, going beyond just answering questions. Nvidia is developing NemoClaw to provide security and privacy for these AI agents. Huang explained that OpenClaw allows users to create agents with a single line of code to perform complex tasks, potentially elevating everyone's capabilities.

Sony uses AI trained on Ghibli to fight AI copyright issues

Sony is developing a new technology called Protective AI to combat copyright infringement by AI. Counterintuitively, this AI was trained using data from Studio Ghibli movies. The goal is to create an in-house AI that can generate prompts mimicking Ghibli's art style, thereby helping to prevent unauthorized use of their work. This approach aims to protect creators and rights holders by fighting AI-generated plagiarism with AI itself.

Universal Music CEO sees AI enhancing music creation

Lucian Grainge, CEO of Universal Music Group, expressed optimism about AI's role in the music industry at Nvidia's GTC conference. He believes AI will augment, not replace, artists by assisting with idea generation, production, and personalized music experiences. Grainge also sees AI as a tool to combat music piracy and ensure fair compensation for artists. He emphasized the importance of collaboration between music companies, tech firms like Nvidia, and artists to responsibly harness AI's potential.

Former Google CEO: Programming as we knew it is over

Former Google CEO Eric Schmidt believes that traditional computer programming is ending, having witnessed its entire lifecycle during his career. He noted that AI can now generate complex code, replicating tasks he once performed manually. Schmidt stated that while computer science will continue, AI-generated code represents a revolutionary shift, giving everyone access to a powerful programmer. He suggested that the future role of computer scientists will be in supervising these AI systems.

Companies embrace open-source AI despite risks

Many tech leaders believe the benefits of open-source AI models outweigh the risks. These models offer greater flexibility, cost-effectiveness, and customization compared to proprietary systems. Companies can fine-tune open-source AI for specific needs, leading to better results and lower costs for high-volume usage. While security is a concern, proponents argue that the transparency of open-source code allows for faster vulnerability patching by a global community. This confidence in managing security risks is driving wider adoption of open-source AI.

AI deepfakes ruin viral moments from the Oscars

The increasing sophistication of AI has led to convincing deepfakes that undermine the authenticity of viral moments, including those from the Oscars. Examples include fake photos of celebrity weddings and award celebrations, which can fool audiences. While often harmless, these AI-generated images contribute to a degraded collective experience by making people question the reality of joyous events. The ease with which these fakes can be created and spread online diminishes the innocent fun associated with viral internet moments.

Salt Security launches platform for AI agent security

Salt Security has introduced the Salt Agentic Security Platform to secure the growing use of AI agents in enterprises. The platform provides visibility and governance across the Agentic Security Graph, connecting Large Language Models (LLMs), MCP servers, and APIs. It helps security teams understand what AI agents can do by mapping their interactions with enterprise systems. The platform includes Agentic Security Posture Management (AG-SPM) for discovery and governance, and Agentic Detection and Response (AG-DR) for real-time threat detection.

Sources

NOTE:

This news brief was generated using AI technology (including, but not limited to, Google Gemini API, Llama, Grok, and Mistral) from aggregated news articles, with minimal to no human editing/review. It is provided for informational purposes only and may contain inaccuracies or biases. This is not financial, investment, or professional advice. If you have any questions or concerns, please verify all information with the linked original articles in the Sources section below.

Nvidia DLSS 5 Generative AI Game Development AI Ethics AI Security Trading Bots Asset Management Machine Learning 6G Wireless Python Programming Autonomous AI Agents Open-Source AI AI Copyright Deepfakes Music Industry AI AI in Programming API Security LLMs

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