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It proposes a one-time 50% tax on stock (not profits) in Americaβs largest AI companies, giving the public a direct 50% ownership stake.
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Forwarded from Wizard
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According to Harvard-trained linguist Adam Aleksic, one of the clearest signs is a surprisingly ordinary word: βdelve.β
Since ChatGPT launched, usage of the word has reportedly surged by around 1,000%.
Why? Aleksic argues itβs partly a result of how AI models are trained. Human reviewers in regions where words like βdelveβ 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.
Whatβs fascinating is that the influence isnβt 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:
βThe creature that programmed the AI is being programmed by the AI.β
Aleksicβs response:
βIts reality is influencing our reality.β
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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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 2021β2025.
- 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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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 2021β2025.
- 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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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:
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.
Source.
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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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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? π£
π 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.
β‘οΈ 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.πΈ
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The @just interview also covers Telegram Gifts, creativity, stickers, digital art, and the future of content on Telegram.
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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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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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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 βnon-human corporationsβ 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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