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#simulation

21 posts20 participants3 posts today

Ứng dụng mô phỏng tiến hóa mã nguồn mở Genesis giúp bạn quan sát chọn lọc tự nhiên và di truyền đặc điểm trong thời gian thực. Ứng dụng có 5 đặc điểm (kích thước, năng lượng, tốc độ, giác quan, săn mồi) và cơ chế đột biến, sinh sản. Hoàn toàn miễn phí và mã nguồn mở!
#opensource #evolution #simulation #manguonmo #tienhoa #mohinh

reddit.com/r/opensource/commen

www.reddit.comReddit - The heart of the internet

🎮💾 Ah, "The Sumerian Game," the groundbreaking city builder that makes you the proud ruler of a doomed city with a penchant for annual catastrophic failure. Because who doesn't want to relive ancient crop failure simulations from 1964? 🚜🌾 It's the Sims, but with more starvation and less fun!
spillhistorie.no/2025/07/10/th #SumerianGame #citybuilder #retrogaming #simulation #gaminghistory #HackerNews #ngated

Spillhistorie.no · The Sumerian Game: The ancestor of modern city builders - Spillhistorie.noWe spoke with historian Andrea Contato about The Sumerian Game from 1964.

Gaea is cool and everything, but what about fluvial erosion in #Blender with #GeometryNodes?

The concept rather simple:
- spawn points somewhere
- calculate a movement vector with ( N x (0,0,-1) ) x N, where N is the normal vector, sampled from the mesh surface (its a double cross product)
- update the points in a simulation zone
- accumulate the point proximity in a per-face attribute for the mesh. This requires a high res mesh
- optionally displace the mesh

Is DeepSeek a New Voice Among LLMs in Public Opinion Simulation?

arxiv.org/abs/2506.21587

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arXiv.orgIs DeepSeek a New Voice Among LLMs in Public Opinion Simulation?This study evaluates the ability of DeepSeek, an open-source large language model (LLM), to simulate public opinions in comparison to LLMs developed by major tech companies. By comparing DeepSeek-R1 and DeepSeek-V3 with Qwen2.5, GPT-4o, and Llama-3.3 and utilizing survey data from the American National Election Studies (ANES) and the Zuobiao dataset of China, we assess these models' capacity to predict public opinions on social issues in both China and the United States, highlighting their comparative capabilities between countries. Our findings indicate that DeepSeek-V3 performs best in simulating U.S. opinions on the abortion issue compared to other topics such as climate change, gun control, immigration, and services for same-sex couples, primarily because it more accurately simulates responses when provided with Democratic or liberal personas. For Chinese samples, DeepSeek-V3 performs best in simulating opinions on foreign aid and individualism but shows limitations in modeling views on capitalism, particularly failing to capture the stances of low-income and non-college-educated individuals. It does not exhibit significant differences from other models in simulating opinions on traditionalism and the free market. Further analysis reveals that all LLMs exhibit the tendency to overgeneralize a single perspective within demographic groups, often defaulting to consistent responses within groups. These findings highlight the need to mitigate cultural and demographic biases in LLM-driven public opinion modeling, calling for approaches such as more inclusive training methodologies.

#programming #gamedev #devlog #simulation #commonLisp #leonardoCalculus

screwlisp.small-web.org/lispga

Really just a devlog! I slapped a #mcclim #gui onto my simulation so that I could click a button rather than type actions over and over again.

Then, I really just figured out that one simple-starting-arrangement idea I had doesn't work, because the only vertical move that gets triggered is from the lowest row of a tile to the highest row of the same tile.

Small "improvements".