Thom Wolf Says 18 of 20 Best Open Models Are Mixture-of-Experts
AI researcher Thom Wolf stated in a post on X that 18 of the 20 best open models today are Mixture-of-Experts architectures, declaring that dense models are "basically over." The post frames MoE as the dominant design choice among leading open models while noting that the know-how to train a good MoE remains a barrier. The claim is an attributed opinion rather than a formal benchmark release; the post text is truncated and names no specific models, benchmarks, dates, or evaluation criteria.
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Thom Wolf Says 18 of 20 Best Open Models Are Mixture-of-Experts
Thomas Wolf, a prominent open-source AI figure, stated in a post on X that 18 of the 20 best open models currently available are Mixture-of-Experts (MoE) architectures, declaring that dense models are "basically over." The post frames MoE as the dominant design choice among leading open models, while noting that the know-how to train a good MoE remains a barrier. The claim is an attributed opinion from Wolf rather than a formal benchmark release, and the post text is truncated, so no further supporting detail or methodology is provided in the source item.
Read sourceThom Wolf Says 18 of 20 Best Open Models Are Mixture-of-Experts
Thom Wolf stated in a post on X that 18 of the 20 best open models today are Mixture-of-Experts, adding that dense models are "basically over." The post frames Mixture-of-Experts architecture as dominant among top-performing open models and suggests dense architectures are being displaced. The text is truncated and does not elaborate on the remaining two models, the criteria used to rank the 20 best open models, or the training know-how referenced in the cut-off sentence. No specific models, benchmarks, dates, or organizations are named in the available text.
Thom Wolf Says 18 of 20 Best Open Models Are Mixture-of-Experts
AI researcher Thom Wolf stated on X that 18 of the 20 best open models today are Mixture-of-Experts, declaring that dense architectures are "basically over." The post frames the shift toward Mixture-of-Experts as the dominant approach among leading open models, while noting that the know-how to train a good Mixture-of-Experts model remains a barrier. The claim is an attributed opinion from Wolf rather than a formal benchmark report, and the post does not specify which models or evaluation criteria were used.
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Thom Wolf Says 18 of 20 Best Open Models Are Mixture-of-Experts
In a post on X, Thom Wolf stated that 18 of the 20 best open models today are Mixture-of-Experts (MoE) architectures, declaring that dense models are "basically over." The post frames MoE as the dominant approach among top open models and implies that expertise in training a good MoE model is a key differentiator, though the text is truncated. The claim is an attributed opinion from Wolf rather than a formal research result, and no specific models, benchmarks, or dates are named in the available text.
Read sourceThom Wolf Says 18 of 20 Best Open Models Are Mixture-of-Experts
In a post on X, Thom Wolf stated that 18 of the 20 best open models today are Mixture-of-Experts, adding that dense models are "basically over." The post frames Mixture-of-Experts architecture as dominant among top-performing open models and suggests dense architectures are being displaced. The text is truncated and does not elaborate on the methodology behind the ranking or the specific models counted. No further details, sources, or conditions for the claim are provided in the available content.
Read sourceThom Wolf Says 18 of 20 Best Open Models Are Mixture-of-Experts
In a post on X, Thom Wolf stated that 18 of the 20 best open models today are Mixture-of-Experts (MoE) architectures, declaring that dense models are "basically over." The post frames MoE as the dominant approach among top-performing open models and implies dense architectures are being displaced. The text is truncated and does not specify which models, benchmarks, or time frame underpin the count, nor does it detail the training know-how referenced in the cut-off sentence. The claim is an attributed opinion/observation from Wolf rather than a formal research release, and no supporting data or methodology is included in the source item.