large language model trends AI News List | Blockchain.News
AI News List

List of AI News about large language model trends

Time Details
2025-12-26
14:45
AI Website Traffic Share 2024: Gemini Surges to 18.2%, ChatGPT Drops Below 70% According to Similarweb Data

According to @demishassabis referencing @Similarweb data, the AI generative website traffic landscape is rapidly shifting as Gemini has reached an 18.2% share, closing in on the 20% benchmark. Over the past year, ChatGPT’s dominance has declined from 87.2% to 68.0%, signaling increased competition and user diversification in the AI chatbot market. Notably, Grok’s user momentum continues, and platforms like DeepSeek, Claude, Perplexity, and Copilot are maintaining steady or slightly increasing shares. This trend highlights significant business opportunities for new AI entrants and underscores the growing demand for alternative large language model platforms. For companies developing AI tools or services, these shifts point to expanding user bases and the potential for niche market penetration. (Source: @demishassabis, @Similarweb, Dec 26, 2025)

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2025-12-17
16:15
Gemini 3 Flash Solves Classic LLM Dilemma: Smart and Fast AI for Enterprise Productivity

According to Oriol Vinyals (@OriolVinyalsML), Gemini 3 Flash addresses the traditional trade-off between intelligence and speed in large language models (LLMs). This innovation enables enterprises to leverage both advanced reasoning and rapid response times within AI applications, reducing latency without sacrificing model accuracy or depth. The business impact is significant, allowing companies to deploy AI-powered solutions that support real-time decision-making, enhanced customer service, and scalable automation across sectors. Verified by Oriol Vinyals's statement on Twitter.

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2025-05-24
04:37
LLMs as chmod a+w Artifacts: Open Access and AI Model Distribution Trends Explained

According to Andrej Karpathy (@karpathy), the phrase 'LLMs are chmod a+w artifacts' highlights a trend toward more open and accessible large language model (LLM) artifacts in the AI industry (source: https://twitter.com/karpathy/status/1926135417625010591). This analogy references the Unix command 'chmod a+w,' which grants write permissions to all users, suggesting that LLMs are increasingly being developed, shared, and modified by a broader audience. This shift toward openness accelerates AI innovation, encourages collaboration, and presents new market opportunities in AI model hosting, customization, and deployment services. Enterprises looking to leverage open LLMs can benefit from reduced costs and faster integration, but must also consider security and compliance as accessibility increases.

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