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- Anthropic launches Claude 4: The world's best coding model
Anthropic launches Claude 4: The world's best coding model
PLUS: Google’s 5× faster LLM, Claude’s hybrid AI agents, MIT’s audio-visual breakthrough & AI CEOs take the stage

In today’s agenda: | Plus, some interesting news:
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MAIN AI UPDATES / 23th May 2025
🧠 Claude 4: Next-generation AI models 🧠
World's best coding performance
Anthropic has launched Claude Opus 4 and Claude Sonnet 4, setting new standards for coding, advanced reasoning, and AI agents. Claude Opus 4 leads SWE-bench with 72.5% and delivers sustained performance on long-running tasks that require thousands of steps over several hours. The models feature hybrid modes offering both near-instant responses and extended thinking for deeper reasoning. Extended thinking with tool use allows Claude to alternate between reasoning and tool use, while parallel tool execution and enhanced memory capabilities enable more powerful AI agents. Claude Code is now generally available with native VS Code and JetBrains integrations.
🔄 Gemini Diffusion redefines LLM architecture 🔄
Parallel generation at 5× speed
Google has introduced Gemini Diffusion, a revolutionary LLM that uses diffusion instead of transformers for text generation. This breakthrough architecture enables parallel token generation and eliminates key-value caching needs, resulting in dramatically faster inference at 5× the speed while using approximately half the parameters of similar-performing models. The model works by iteratively refining noisy text through a diffusion process, allowing progressive answer improvements and potential in-latent reasoning. While currently available via waitlist demo, open-source projects like LLaDA-8B are already exploring this approach.
⚡ MIT AI links vision and sound without human⚡
Learning connections autonomously
MIT researchers have developed CAV-MAE Sync, an AI system that can learn how vision and sound are connected without human intervention. The model autonomously matches specific video frames with corresponding sounds through self-supervised learning, representing a significant advancement in multimodal AI. Unlike previous systems requiring extensive human-labeled datasets, this approach learns finer-grained correspondence by splitting audio into smaller windows and associating each video frame with its exact audio moment. The technology could improve video understanding, enhance accessibility features, and advance autonomous systems' environmental awareness, with potential applications in journalism, film production, and robotics.
INTERESTING NEWS
🌍 OpenAI expands Stargate to Middle East 🌍
OpenAI has announced Stargate UAE, bringing a 1GW data center cluster to Abu Dhabi with partners including G42, Oracle, Nvidia, Cisco, and SoftBank. 200MW will go live in 2026, providing AI infrastructure within a 2,000-mile radius. This marks the first partnership under OpenAI for Countries, helping governments build sovereign AI capability. The UAE will become the first country to enable ChatGPT nationwide, giving citizens across the country access to OpenAI's technology.
👥 AI CEO avatars debut in corporate world 👥
Klarna CEO Sebastian Siemiatkowski and Zoom CEO Eric Yuan have deployed AI versions of themselves for recent earnings calls, showcasing a new trend in corporate communications. Klarna's AI double delivered an 83-second Q1 2025 earnings video, while Zoom used their own AI Companion technology for presentations. The trend extends beyond earnings, with Otter.ai training "Sam-bot" for meetings and companies like Synthesia creating hyperreal AI presenters for major brands including BMW and Vodafone.

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