Search Results
7/8/2025, 2:35:38 AM
►Recent Highlights from the Previous Thread: >>105822371
--AMD Ryzen AI Max+ 395 criticized for poor LLM performance and cost inefficiency:
>105822781 >105822819 >105822833 >105822839 >105822849 >105822860 >105822868 >105822900 >105826358 >105827302
--Debate over Meta's AI data quality practices and ethical concerns in model training:
>105831656 >105831728 >105831743 >105831759 >105832053 >105832349 >105832645 >105831748 >105831736 >105831807 >105831833 >105831746 >105831764
--Using lightweight local LLMs for PDF search and structured data extraction:
>105827749 >105827827 >105828134 >105828436 >105828301 >105828307 >105829012 >105829970 >105830088
--Energy-Based Transformers proposed as next-gen architecture for generalized reasoning without reinforcement learning:
>105827798 >105827854 >105827909 >105829034 >105829270
--Bayesian models and always-online autonomous AI architectures:
>105832259 >105832296 >105832373 >105832517 >105832674
--Heated debate over MCP protocol's value in LLM tool integration workflows:
>105829150 >105829223 >105829283 >105829318 >105829405 >105829432 >105829475 >105829493 >105829772 >105829884 >105829913 >105829994 >105830036 >105829800 >105829838 >105829880 >105829889 >105830013
--Evaluation of Openaudio S1 Mini for local TTS with emotion tags and comparisons to alternative models:
>105823064 >105823196 >105824572 >105827293 >105828288 >105826373 >105826883
--Complex MoE model with custom routing raises verification and implementation concerns:
>105826633 >105826691 >105826718 >105826733 >105826745
--Local coding model preferences and usage patterns among recent LLM releases:
>105830193 >105830229 >105830672 >105830712 >105831232 >105831206 >105831329
--Links:
>105825050 >105827514 >105830926 >105825495 >105829661
--Miku (free space):
>105822733 >105824936 >105825396 >105829646
►Recent Highlight Posts from the Previous Thread: >>105822376
Why?: 9 reply limit >>102478518
Fix: https://rentry.org/lmg-recap-script
--AMD Ryzen AI Max+ 395 criticized for poor LLM performance and cost inefficiency:
>105822781 >105822819 >105822833 >105822839 >105822849 >105822860 >105822868 >105822900 >105826358 >105827302
--Debate over Meta's AI data quality practices and ethical concerns in model training:
>105831656 >105831728 >105831743 >105831759 >105832053 >105832349 >105832645 >105831748 >105831736 >105831807 >105831833 >105831746 >105831764
--Using lightweight local LLMs for PDF search and structured data extraction:
>105827749 >105827827 >105828134 >105828436 >105828301 >105828307 >105829012 >105829970 >105830088
--Energy-Based Transformers proposed as next-gen architecture for generalized reasoning without reinforcement learning:
>105827798 >105827854 >105827909 >105829034 >105829270
--Bayesian models and always-online autonomous AI architectures:
>105832259 >105832296 >105832373 >105832517 >105832674
--Heated debate over MCP protocol's value in LLM tool integration workflows:
>105829150 >105829223 >105829283 >105829318 >105829405 >105829432 >105829475 >105829493 >105829772 >105829884 >105829913 >105829994 >105830036 >105829800 >105829838 >105829880 >105829889 >105830013
--Evaluation of Openaudio S1 Mini for local TTS with emotion tags and comparisons to alternative models:
>105823064 >105823196 >105824572 >105827293 >105828288 >105826373 >105826883
--Complex MoE model with custom routing raises verification and implementation concerns:
>105826633 >105826691 >105826718 >105826733 >105826745
--Local coding model preferences and usage patterns among recent LLM releases:
>105830193 >105830229 >105830672 >105830712 >105831232 >105831206 >105831329
--Links:
>105825050 >105827514 >105830926 >105825495 >105829661
--Miku (free space):
>105822733 >105824936 >105825396 >105829646
►Recent Highlight Posts from the Previous Thread: >>105822376
Why?: 9 reply limit >>102478518
Fix: https://rentry.org/lmg-recap-script
7/7/2025, 8:50:21 PM
We're getting Jamba on OpenRouter right? I JUST want to see what it's like at full weights (fucking 400b params).
Page 1