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AI Is Eating Its Own Tail, According to a New Study

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1 year ago

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An ouroboros is the popular old image of a snake eating up its own tail. Be that as it may, once more, what’s old is new, and in the period of computer based intelligence, this voracious iconography takes on a totally different and impactful importance. As publication content made by artificial intelligence language models like ChatGPT start to fill the web — frequently to the disappointment of the exceptionally human editors that work on these sites — endlessly bunches of mistakes are accompanying them.

Furthermore, that is a major issue, in light of the fact that the web is the very source material on which these language models are prepared. As such, man-made intelligence is eating its own tail. In what can be best portrayed as a horrible round of phone, simulated intelligence could start preparing on blunder filled, engineered information until the very thing it was attempting to make turns out to be outright hogwash. Man-made intelligence analysts call “model breakdown this.”

One late review, distributed on the pre-print arXiv server, utilized a language model called Select 125m to create text about English engineering. Subsequent to preparing the man-made intelligence on that engineered test again and again, the tenth model’s reaction was totally unreasonable and brimming with a peculiar fixation on rabbits.

One more late review, comparatively presented on the pre-print arXiv server, concentrated on simulated intelligence picture generators prepared on other man-made intelligence craftsmanship. By the man-made intelligence’s third endeavor to make a bird or bloom with just a consistent eating routine of simulated intelligence information, the outcomes returned hazy and unrecognizable. Albeit these two models have somewhat low stakes, this recursive criticism circle can possibly compound things like racial and orientation inclinations, something that could be destroying to underestimated networks. ChatGPT, for instance, has previously been gotten racially profiling Muslim men as “fear mongers.”

In this way, to prepare new artificial intelligence models successfully, organizations need information that is uncorrupted by artificially made data. “Filtering is a whole research area right now,” told Alex Dimakis, co-director of the National AI Institute for Foundations of Machine Learning, told The Atlantic. “And we see it has a huge impact on the quality of the models.” Dimakis even says that a little assortment of excellent information can beat a bigger, manufactured one. Obviously, human information isn’t precisely without its blemishes — inclinations can be found wherever you look — however artificial intelligence could be utilized to attempt to de-predisposition these informational indexes to make better ones.

Until further notice, engineers should filter through information to ensure computer based intelligence isn’t being prepared on manufactured information it made itself. For all the hand-wringing with respect to man-made intelligence’s capacity to supplant people, it turns out these world-changing language models actually need a human touch.

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Microsoft Expands Copilot Voice and Think Deeper

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2 weeks ago

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February 25, 2025

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Microsoft Expands Copilot Voice and Think Deeper

Microsoft is taking a major step forward by offering unlimited access to Copilot Voice and Think Deeper, marking two years since the AI-powered Copilot was first integrated into Bing search. This update comes shortly after the tech giant revamped its Copilot Pro subscription and bundled advanced AI features into Microsoft 365.

What’s Changing?

Microsoft remains committed to its $20 per month Copilot Pro plan, ensuring that subscribers continue to enjoy premium benefits. According to the company, Copilot Pro users will receive:

  • Preferred access to the latest AI models during peak hours.
  • Early access to experimental AI features, with more updates expected soon.
  • Extended use of Copilot within popular Microsoft 365 apps like Word, Excel, and PowerPoint.

The Impact on Users

This move signals Microsoft’s dedication to enhancing AI-driven productivity tools. By expanding access to Copilot’s powerful features, users can expect improved efficiency, smarter assistance, and seamless integration across Microsoft’s ecosystem.

As AI technology continues to evolve, Microsoft is positioning itself at the forefront of innovation, ensuring both casual users and professionals can leverage the best AI tools available.

Stay tuned for further updates as Microsoft rolls out more enhancements to its AI offerings.

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Google Launches Free AI Coding Tool for Individual Developers

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2 weeks ago

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February 25, 2025

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Google Launches Free AI Coding Tool for Individual Developers

Google has introduced a free version of Gemini Code Assistant, its AI-powered coding assistant, for solo developers worldwide. The tool, previously available only to enterprise users, is now in public preview, making advanced AI-assisted coding accessible to students, freelancers, hobbyists, and startups.

More Features, Fewer Limits

Unlike competing tools such as GitHub Copilot, which limits free users to 2,000 code completions per month, Google is offering up to 180,000 code completions—a significantly higher cap designed to accommodate even the most active developers.

“Now anyone can easily learn, generate code snippets, debug, and modify applications without switching between multiple windows,” said Ryan J. Salva, Google’s senior director of product management.

AI-Powered Coding Assistance

Gemini Code Assist for individuals is powered by Google’s Gemini 2.0 AI model and offers:
Auto-completion of code while typing
Generation of entire code blocks based on prompts
Debugging assistance via an interactive chatbot

The tool integrates with popular developer environments like Visual Studio Code, GitHub, and JetBrains, supporting a wide range of programming languages. Developers can use natural language prompts, such as:
“Create an HTML form with fields for name, email, and message, plus a submit button.”

With support for 38 programming languages and a 128,000-token memory for processing complex prompts, Gemini Code Assist provides a robust AI-driven coding experience.

Enterprise Features Still Require a Subscription

While the free tier is generous, advanced features like productivity analytics, Google Cloud integrations, and custom AI tuning remain exclusive to paid Standard and Enterprise plans.

With this move, Google aims to compete more aggressively in the AI coding assistant market, offering developers a powerful and unrestricted alternative to existing tools.

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Elon Musk Unveils Grok-3: A Game-Changing AI Chatbot to Rival ChatGPT

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3 weeks ago

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February 19, 2025

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Elon Musk Unveils Grok-3: A Game-Changing AI Chatbot to Rival ChatGPT

Elon Musk’s artificial intelligence company xAI has unveiled its latest chatbot, Grok-3, which aims to compete with leading AI models such as OpenAI’s ChatGPT and China’s DeepSeek. Grok-3 is now available to Premium+ subscribers on Musk’s social media platform x (formerly Twitter) and is also available through xAI’s mobile app and the new SuperGrok subscription tier on Grok.com.

Advanced capabilities and performance

Grok-3 has ten times the computing power of its predecessor, Grok-2. Initial tests show that Grok-3 outperforms models from OpenAI, Google, and DeepSeek, particularly in areas such as math, science, and coding. The chatbot features advanced reasoning features capable of decomposing complex questions into manageable tasks. Users can interact with Grok-3 in two different ways: “Think,” which performs step-by-step reasoning, and “Big Brain,” which is designed for more difficult tasks.

Strategic Investments and Infrastructure

To support the development of Grok-3, xAI has made major investments in its supercomputer cluster, Colossus, which is currently the largest globally. This infrastructure underscores the company’s commitment to advancing AI technology and maintaining a competitive edge in the industry.

New Offerings and Future Plans

Along with Grok-3, xAI has also introduced a logic-based chatbot called DeepSearch, designed to enhance research, brainstorming, and data analysis tasks. This tool aims to provide users with more insightful and relevant information. Looking to the future, xAI plans to release Grok-2 as an open-source model, encouraging community participation and further development. Additionally, upcoming improvements for Grok-3 include a synthesized voice feature, which aims to improve user interaction and accessibility.

Market position and competition

The launch of Grok-3 positions xAI as a major competitor in the AI ​​chatbot market, directly challenging established models from OpenAI and emerging competitors such as DeepSeek. While Grok-3’s performance claims are yet to be independently verified, early indications suggest it could have a significant impact on the AI ​​landscape. xAI is actively seeking $10 billion in investment from major companies, demonstrating its strong belief in their technological advancements and market potential.

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