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OpenAI CEO Sam Altman has addressed concerns regarding the scaling of large language models (LLMs), asserting that 'there is no wall' impeding their development. This statement comes amidst a broader debate in the AI community about the limitations and future of AI scaling laws. Critics argue that scaling LLMs is hitting diminishing returns, with significant investments yielding minimal improvements on artificial benchmarks. John Schulman, OpenAI co-founder, highlighted the challenges in balancing model sizes to optimize computational efficiency. US media, along with experts LeCun and Marcus, have weighed in on this debate, suggesting that the focus should shift from raw power to solving reliability issues to achieve meaningful breakthroughs in AI development.
Scientists warn that large language models may not be suitable for real-world applications, as even minor changes can cause their world models to collapse. This raises concerns about their reliability and effectiveness. Read more about these findings here: https://t.co/6zi9avIduM
Why AI Language Models Are Still Vulnerable: Key Insights from Kili Technology’s Report on Large Language Model Vulnerabilities https://t.co/HfZdTOkDe4 #AIvulnerabilities #KiliTechnology #LanguageModels #EthicalAI #AIsecurity #ai #news #llm #ml #research #ainews #innovation #… https://t.co/3pswCKMuD3
Why AI Language Models Are Still Vulnerable: Key Insights from Kili Technology’s Report on Large Language Model Vulnerabilities This is a super interesting report from Kili Technology Download the Full Report: https://t.co/dPbLZIb7cB Read our article on this report:… https://t.co/bBICUIIUzB
