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THE DAILY INDEX

Technology, AI, software, security, crypto and business

HEADLINES & LAUNCHES

TLDR AI

FOUR TAKEAWAYS ON THE RACE TO AMASS DATA FOR AI

The development of artificial intelligence heavily relies on vast amounts of data, which is being rapidly consumed by tech companies faster than it is being produced, leading to predictions that high-quality digital data may be exhausted by 2026. In response, companies like OpenAI, Google, and Meta are exploring new methods to obtain more data, including using YouTube video transcripts, revising privacy policies, considering the purchase of major publishers, and investigating the use of "synthetic" data generated by AI models, despite the risk of compounding errors.

SPEED TESTS FOR LLAMA 2, STABLE DIFFUSION

MLPerf has updated its inferencing benchmarks to include large language models like Llama 2 70B and Stable Diffusion XL, reflecting the industry's shift to massive generative AI. In the latest tests, Nvidia's systems, particularly those equipped with the H200 processor, outperformed competitors from Intel and Qualcomm in both speed and efficiency. The benchmarks highlight the importance of high-bandwidth memory in handling large AI models, with Intel's Gaudi 2 and Qualcomm's Cloud AI 100 Ultra also showcasing significant performances in the generative AI space.

RABBIT PARTNERS WITH ELEVENLABS TO POWER VOICE COMMANDS ON ITS DEVICE

Rabbit partners with ElevenLabs to incorporate voice command technology into its upcoming r1 devices, enhancing human-device interaction with low latency models for a more natural experience. The first batch of r1 devices, which feature functionalities like chatbot interaction and bi-directional translation, is set to ship by March 31. ElevenLabs has recently raised $80 million, despite facing challenges with misuse of its voice cloning technology.

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