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

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πŸ—£οΈ AI may be changing the way humans speak.

According to Harvard-trained linguist Adam Aleksic, one of the clearest signs is a surprisingly ordinary word: β€œdelve.”

Since ChatGPT launched, usage of the word has reportedly surged by around 1,000%.

Why? Aleksic argues it’s partly a result of how AI models are trained. Human reviewers in regions where words like β€œdelve” are somewhat more common helped shape model outputs, while the models themselves tend to favor more formal, Latin-derived vocabulary that sounds authoritative.

The result: AI frequently uses words like delve, and people are starting to copy that style.

What’s fascinating is that the influence isn’t staying inside the machine. Evidence suggests humans are increasingly using AI-favored words in everyday speech, creating a feedback loop where AI shapes the language of the people who trained it.

As podcaster Chris Williamson put it:

β€œThe creature that programmed the AI is being programmed by the AI.”

Aleksic’s response:

β€œIts reality is influencing our reality.”

Language has always evolved through books, television, and the internet. Now, AI may be becoming the newest force shaping how millions of people communicate.

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❗️AI bots have officially overtaken humans on the internet

Cloudflare CEO Matthew Prince shared new data showing that bots and AI agents are now generating more internet traffic than humans for the first time in history.

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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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❗️Ray Kurzweil still thinks human-level AI arrives by 2029

Back in 1999, futurist Ray Kurzweil predicted that AI would reach human-level intelligence by 2029. At the time, many top researchers at Stanford University thought it was at least 100 years away. Now, with just three years left, Kurzweil says only two major pieces are still missing:

β€’ AI that truly understands the physical world.
β€’ Robots that can reliably navigate everyday common sense like knowing what belongs in the fridge and what belongs in the trash.

His argument is simple: progress looks slow until it suddenly doesn’t.

The Human Genome Project was only 1% complete halfway through. One final doubling later, it was finished. Kurzweil believes AI is approaching a similar moment.

Just a year ago, he says large language models were interesting but not especially impressive. Today, AI is writing code, conducting research, and in some medical studies outperforming human doctors in diagnosis.

Meanwhile, computing power has exploded.

Over the last 70 years, hardware performance improved by roughly 75 quadrillion-fold, while software efficiency improved by around a million-fold.

Kurzweil’s bet is that when exponential curves become visible, they stop looking like curves and start looking like walls. And according to him, we’re getting very close to that wall.

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