Sure. But it attention truly worked, the LLM would no pay attention to the previous topic. Right? We should test this with experiments.
MACHINE LEARNING
-
Cloth Simulation Comparison: ChatGPT vs Claude vs DeepSeek
By
–
ChatGPT 5.1 vs. Claude Opus 4.5 vs. DeepSeek-V3.2
— God of Prompt (@godofprompt) 6 décembre 2025
(left) (middle) (right)
prompt I used:
Create a single HTML file containing a realistic cloth simulation using HTML5 Canvas and JavaScript. The cloth… pic.twitter.com/XWFfV2bSRdChatGPT 5.1 vs. Claude Opus 4.5 vs. DeepSeek-V3.2 (left) (middle) (right) prompt I used:
Create a single HTML file containing a realistic cloth simulation using HTML5 Canvas and JavaScript. The cloth -
NeurIPS Happy Hour: AI+Science and AI+Math Discussion
By
–
Join our second happy hour meetup today (Saturday) at @NeurIPSConf to chat about AI+Science and AI+Math with me and my team from @Caltech at: Achilles Coffee Roasters Gaslamp, San Diego. 5:15pm – 7:15pm We have a number of papers at NeurIPS on Neural Operators, Inverse
-
DeepSeek Model Distillation Continues Strong Momentum
By
–
Looks like the DeepSeek distillation is still going strong
-
DeepSeek-V3.2: Open-Source Reasoning Model Rivals GPT-5
By
–
DeepSeek recently dropped a new open-source reasoning champion to rival GPT-5! Introducing DeepSeek-V3.2: 671B param Mixture-of-Experts (37B active) Gold-medal IMO & IOI performance Sparse attention for long contexts Balanced daily driver + tool-use Fully
-
NeurIPS Mexico City: Intimate AI Research Community Experience
By
–
Really enjoying the smaller scale and more intimate experience of NeurIPS in Mexico City, along with my @Mila_Quebec crew! Including dinners that feature guacamole with crispy larva 🙂
-
Voyager SDK v1.5.1 Improves Quantised Model Accuracy
By
–
Voyager SDK v1.5.1: Better Quantised Model Accuracy Without Model Changes
— Axelera AI (@AxeleraAI) 5 décembre 2025
The latests version of Voyager SDK quietly boosts quantisation accuracy — no model changes needed. Just recompile your ONNX model and enjoy better FP32 iso-accuracy out of the box. Smarter compiler,… pic.twitter.com/S02GSPkO3OVoyager SDK v1.5.1: Better Quantised Model Accuracy Without Model Changes The latests version of Voyager SDK quietly boosts quantisation accuracy — no model changes needed. Just recompile your ONNX model and enjoy better FP32 iso-accuracy out of the box. Smarter compiler,
-
Intel SignRoundV2: Extreme Low-Bit Quantization for LLMs
By
–
Intel presents SignRoundV2 Closing the Performance Gap in Extremely Low-Bit Post-Training Quantization for LLMs
-
Techniques to Reduce Hallucinations and Boost Accuracy
By
–
You can use these techniques RIGHT NOW I've been using these with Claude Sonnet 4.5, GPT-4, and Gemini 2.0 Flash for 6 months. Results: – 100% reduction in hallucinations on technical docs
– 3x faster iteration on code generation
– 90%+ accuracy on complex analysis tasks The -
Few-Shot Learning with Negative Examples
By
–
Technique 3: Few-Shot with Negative Examples Anthropic discovered that showing the model what NOT to do is as powerful as showing what TO do. Template: I need you to [task]. Here are examples: GOOD Example 1: [example] GOOD Example 2: [example] BAD Example 1: