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From CUDA to MLX: How K-Search Brings Decades of Kernel Expertise to Apple Silicon
Figure 1: CUDA-to-MLX optimization translation map. CUDA optimization knowledge can be translated into architecture-native MLX strategies rather than copied instruction-for-instruction. We face a new epoch in computing. Hardware is changing rapidly — not just faster GPUs, but a growing range of chips from different vendors, each with its own architecture and often tailored to specific…
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From CUDA to MLX: How K-Search Brings Decades of Kernel Expertise to Apple Silicon
Figure 1: CUDA-to-MLX optimization translation map. CUDA optimization knowledge can be translated into architecture-native MLX strategies rather than copied instruction-for-instruction. We face a new epoch in computing. Hardware is changing rapidly — not just faster GPUs, but a growing range of chips from different vendors, each with its own architecture and often tailored to specific…
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AI Benchmarks Explained: What They Measure and Miss
Every model launch these days arrives with a wall of numbers: a score on a knowledge test, a score on a coding test, a score on a reasoning test, each one presented as settled proof of superiority. The numbers look objective, and in a narrow sense they are, since every model faced the same questions…
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From CUDA to MLX: How K-Search Brings Decades of Kernel Expertise to Apple Silicon
Figure 1: CUDA-to-MLX optimization translation map. CUDA optimization knowledge can be translated into architecture-native MLX strategies rather than copied instruction-for-instruction. We face a new epoch in computing. Hardware is changing rapidly — not just faster GPUs, but a growing range of chips from different vendors, each with its own architecture and often tailored to specific…
-
AI Benchmarks Explained: What They Measure and Miss
Every model launch these days arrives with a wall of numbers: a score on a knowledge test, a score on a coding test, a score on a reasoning test, each one presented as settled proof of superiority. The numbers look objective, and in a narrow sense they are, since every model faced the same questions…
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From CUDA to MLX: How K-Search Brings Decades of Kernel Expertise to Apple Silicon
Figure 1: CUDA-to-MLX optimization translation map. CUDA optimization knowledge can be translated into architecture-native MLX strategies rather than copied instruction-for-instruction. We face a new epoch in computing. Hardware is changing rapidly — not just faster GPUs, but a growing range of chips from different vendors, each with its own architecture and often tailored to specific…
-
AI Benchmarks Explained: What They Measure and Miss
Every model launch these days arrives with a wall of numbers: a score on a knowledge test, a score on a coding test, a score on a reasoning test, each one presented as settled proof of superiority. The numbers look objective, and in a narrow sense they are, since every model faced the same questions…
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Altman Says AI Development May Need to Be “Paced” as Safety Concerns Mount
OpenAI CEO Sam Altman said AI development may need to slow down to give society time to adjust to new capability levels, speaking on the Invest Like the Best podcast with host Patrick O’Shaughnessy. He said any such pacing effort would need to avoid resembling regulatory capture or collusion among frontier labs. Both OpenAI and…
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Moonshot AI Hits $35B Valuation After $3.5B Funding Round on K3 Momentum
Moonshot AI has secured a $35 billion valuation after closing a $3.5 billion funding round, far exceeding the $1 billion to $2 billion the Beijing-based startup initially targeted, according to people familiar with the matter. The company is now approaching potential backers for another round at a $50 billion pre-money valuation, aiming to raise capital…
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U.S. Government Awards GlobalFoundries $300M to Advance AI Chip Photonics
GlobalFoundries said Wednesday that the U.S. government will award it $300 million to advance research and development of silicon photonics technology aimed at powering more efficient AI data centers. The funding, issued through the Department of Commerce, is part of the Trump administration’s push to direct CHIPS Act research money toward critical semiconductor technologies as…
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Empirical Security Announces $25M Series A to Defend Against AI-Accelerated Exposures
Insider Brief Empirical Security, which builds predictive models for exposure management, has raised $25 million in Series A funding led by Brightmind Partners, bringing total funding to $37 million following earlier backing from Costanoa Ventures and Hyde Park Angels The capital will accelerate two products: Foundation, a global model monitoring more than 18,000 exploited CVEs,…
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From CUDA to MLX: How K-Search Brings Decades of Kernel Expertise to Apple Silicon
Figure 1: CUDA-to-MLX optimization translation map. CUDA optimization knowledge can be translated into architecture-native MLX strategies rather than copied instruction-for-instruction. We face a new epoch in computing. Hardware is changing rapidly — not just faster GPUs, but a growing range of chips from different vendors, each with its own architecture and often tailored to specific…
-
AI Benchmarks Explained: What They Measure and Miss
Every model launch these days arrives with a wall of numbers: a score on a knowledge test, a score on a coding test, a score on a reasoning test, each one presented as settled proof of superiority. The numbers look objective, and in a narrow sense they are, since every model faced the same questions…
-
Altman Says AI Development May Need to Be “Paced” as Safety Concerns Mount
OpenAI CEO Sam Altman said AI development may need to slow down to give society time to adjust to new capability levels, speaking on the Invest Like the Best podcast with host Patrick O’Shaughnessy. He said any such pacing effort would need to avoid resembling regulatory capture or collusion among frontier labs. Both OpenAI and…
-
Moonshot AI Hits $35B Valuation After $3.5B Funding Round on K3 Momentum
Moonshot AI has secured a $35 billion valuation after closing a $3.5 billion funding round, far exceeding the $1 billion to $2 billion the Beijing-based startup initially targeted, according to people familiar with the matter. The company is now approaching potential backers for another round at a $50 billion pre-money valuation, aiming to raise capital…
-
U.S. Government Awards GlobalFoundries $300M to Advance AI Chip Photonics
GlobalFoundries said Wednesday that the U.S. government will award it $300 million to advance research and development of silicon photonics technology aimed at powering more efficient AI data centers. The funding, issued through the Department of Commerce, is part of the Trump administration’s push to direct CHIPS Act research money toward critical semiconductor technologies as…
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