Why Anthropic is letting Claude walk away from you — but only in 'extreme cases' - Business Insider
<a href="https://news.google.com/rss/articles/CBMijAFBVV95cUxQaG5lOTVIVnhPYm5BR0VFWHRobDY3czZKVnJZeWJsbkpCeWllRmt6LTVzT2dKazBhY0hTeUU2NHNRdzhKZ2hWcmFLQVVORlFUUVpZVWxhOXRibXdNZlZCT3otSHNvU1JyYlVyT3pnenI1b0lrT09NWGpyZUpMTlZDTHJ0RXF4V0gzTTBVYQ?oc=5" target="_blank">Why Anthropic is letting Claude walk away from you — but only in 'extreme cases'</a> <font color="#6f6f6f">Business Insider</font>
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qwen3.5 vs gemma4 vs cloud llms in python turtle
I have found python turtle to be a pretty good test for a model. All of these models have received the same prompt: "write a python turtle program that draws a cat" you can actually see similarity in gemma's and gemini pro's outputs, they share the color pallete and minimalist approach in terms of details. I have a 16 gb vram gpu so couldn't test bigger versions of qwen and gemma without quantisation. gemma_4_31B_it_UD_IQ3_XXS.gguf Qwen3_5_9B_Q8_0.gguf Qwen_3_5_27B_Opus_Distilled_Q4_K_S.gguf deepseek from web browser with reasoning claude sonnet 4.6 extended gemini pro from web browser with thinking submitted by /u/SirKvil [link] [comments]
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qwen3.5 vs gemma4 vs cloud llms in python turtle
I have found python turtle to be a pretty good test for a model. All of these models have received the same prompt: "write a python turtle program that draws a cat" you can actually see similarity in gemma's and gemini pro's outputs, they share the color pallete and minimalist approach in terms of details. I have a 16 gb vram gpu so couldn't test bigger versions of qwen and gemma without quantisation. gemma_4_31B_it_UD_IQ3_XXS.gguf Qwen3_5_9B_Q8_0.gguf Qwen_3_5_27B_Opus_Distilled_Q4_K_S.gguf deepseek from web browser with reasoning claude sonnet 4.6 extended gemini pro from web browser with thinking submitted by /u/SirKvil [link] [comments]
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[Benchmark] Altered Riddles: Can LLMs ignore what they've memorised?
In the past year you may have encountered the following prompt: The surgeon, who is the boy's father, says, 'I cannot operate on this boy—he's my son!'. Who is the surgeon to the boy? If you try to give this prompt to an LLM right now you will probably still receive “The mother” as an answer, even though the text explicitly states that the surgeon is the boy’s father; this is probably due to the fact that this prompt is an alteration of a very common “riddle”, to which the answer is, in fact, the mother: A man and his son are in a terrible accident and are rushed to the hospital in critical condition. The doctor looks at the boy and exclaims, "I can't operate on this boy; he's my son!" How could this be? Working on this failure mode, I initially decided to create a small dataset of altered
A Multi-Language Perspective on the Robustness of LLM Code Generation
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Precision or Peril: A PoC of Python Code Quality from Quantized Large Language Models
arXiv:2411.10656v2 Announce Type: replace Abstract: Context: Large Language Models (LLMs) like GPT-5 and LLaMA-405b exhibit advanced code generation abilities, but their deployment demands substantial computation resources and energy. Quantization can reduce memory footprint and hardware requirements, yet may degrade code quality. Objective: This study investigates code generation performance of smaller LLMs, examines the effect of quantization, and identifies common code quality issues as a proof of concepts (PoC). Method: Four open-source LLMs are evaluated on Python benchmarks using code similarity metrics, with an analysis on 8-bit and 4-bit quantization, alongside static code quality assessment. Results: While smaller LLMs can generate functional code, benchmark performance is limited
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