Meta is currently struggling with its transition to AI, with projected costs hitting $65 billion this year. Concerns arise over its AI models lacking competitiveness against leading platforms like OpenAI and Google. The company is undergoing internal changes, notably amidst accusations of manipulating performance benchmarks. A key focus is addressing the AI's perceived liberal bias, with Meta's latest model, Llama 4, aiming to present multifaceted views on contentious issues, demonstrating a commitment to mitigating bias historically noted in AI systems.
Meta's big pivot to AI, which Mark Zuckerberg says could cost the company another $65 billion this year, isn't going so smoothly at the moment. Industry watchers say its models aren't competitive with the latest from OpenAI, Google, and Anthropic.
Meta aims to remove bias from its AI models, striving for Llama 4 to articulate various viewpoints impartially. This approach seeks to address AI's historical liberal bias.
The company suggests benchmarking bias on contentious political topics, claiming Llama now responds with a political lean comparable to industry contenders.
Researchers warn that AI systems may exhibit discrimination based on race, gender, and nationality, intensifying issues when deployed without accountability.
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