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πŸ€– The #1 AI news source! We cover the latest artificial intelligence breakthroughs and emerging trends.

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Anthropic's Progress in Recursive Self-Improvement

Anthropic is making significant strides towards recursive self-improvement in AI, enabling systems to autonomously develop successors.

Key highlights include:

- Code output from engineers is now eight times higher than in 2021–2025.
- AI task completion times have doubled every four months, expanding from four-minute tasks to 12-hour projects.
- By May 2026, 80% of merged code originated from Claude, whose quality is now on par with human work.

Claude's success rate on open-ended tasks reached 76%, and efficiency tests show substantial improvements over human performance. The evolution of AI continues, stressing the importance of recursive self-improvement for future advancements.

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πŸ‘οΈ NVIDIA Introduces Nemotron 3 Ultra.

A frontier smart open model built for long-running agents that need to plan, reason, use tools and keep working across complex coding, research and enterprise workflows.

Source

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πŸ” Google introduces Gemma 4 12B, a multimodal open model that runs on a laptop

Google has unveiled Gemma 4 12B, its latest open-weight model with advanced reasoning, vision, and audio capabilities. Despite its size, it delivers performance close to larger Gemma models while running locally on just 16GB of VRAM and is released under the permissive Apache 2.0 license.

The most interesting part is its new unified architecture.

Most multimodal models rely on separate vision and audio encoders, which add memory overhead and latency. Gemma 4 12B largely removes them:

πŸ‘ Vision: A lightweight embedding module replaces the traditional vision encoder, allowing the LLM itself to handle visual understanding.

🎀 Audio: The audio encoder is removed entirely. Raw audio is projected directly into the same token space as text.

The result is a smaller, faster, and more efficient multimodal model that can run on consumer hardware without sacrificing much capability.

This could be a glimpse of where AI architectures are heading: fewer specialized components, more native multimodal reasoning. πŸš€

Source.

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πŸ“’ Top AI CEOs urge Congress to strengthen safeguards around synthetic DNA

A group of leading AI executives including Sam Altman, Dario Amodei, and Demis Hassabis have signed a letter calling on Congress to tighten oversight of synthetic DNA orders and the machines used to manufacture them.

Their concern is straightforward: as AI systems become more capable, they could lower the expertise required to navigate parts of the biological research and development process.

The warning is notable because it comes from the very people building frontier AI models. They argue that stronger safeguards today could help reduce future risks as AI capabilities continue to advance.

Source.

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⚑️ AI is now doing your grocery runs.

Gopuff launched an AI shopping assistant called "Go," built with SpaceXAI. You say what you need. It handles the rest.

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What does the lead artist behind Telegram Gifts think about AI? πŸ—£

πŸ“„ In a new interview with Just News, Ohuenko shares how AI has become one of his primary tools for visualizing ideas β€” and why he believes it will eventually outperform humans at almost everything.

⚑️His conclusion is simple: in the age of AI, the only reason to keep creating is to genuinely love the process.

The @just interview also covers Telegram Gifts, creativity, stickers, digital art, and the future of content on Telegram. 🐸

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πŸ‘οΈ NVIDIA has launched new physical AI and robotics development skills designed to automate key workflows from simulation and scene preparation to training and deployment.

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Robot unboxing to soon be a familiar sight in households

Robot unboxing scenes are expected to become a common occurrence in homes worldwide. This development may arrive sooner than many people anticipate.

Industry trends indicate a rise in household adoption of robotics, with widespread availability projected in the near future.

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πŸ‡¦πŸ‡· Argentina wants to give AI its own companies

While much of the world is debating how to regulate AI, Argentine President Javier Milei is proposing something far more radical.

In a Financial Times column, Milei unveiled a plan to turn Argentina into a global AI hub built on three ideas:

β€’ Keep AI largely free from regulation.
β€’ Create β€œnon-human corporations” that can be run by AI agents or robots.
β€’ Offer low taxes and business-friendly rules to attract founders and investors.

The most surprising proposal is the second one.

Under the plan, AI-controlled organizations could gain legal recognition and limited liability protections, allowing autonomous agents to operate businesses in their own right.

Milei compares this moment to the birth of the modern corporation during the age of global trade, arguing that new legal structures are needed for the AI era.

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