Matasoft

@matasoft.bsky.social

Fuzzy data matching, entity resolution, data science, data analytics

DeepSeek-V4-Flash-0731 is Ollama's fastest growing model ever in token usage. We are scaling capacity in US & Europe. On Ollama, this model runs with high performance (100tps+) and zero data retention. Your data stays yours. ollama run deepseek-v4-flash:0731-cloud

DeepSeek-V4-Flash-0731 debuts with an ECI of 153, comparable to GLM 5.2 and roughly midway between Opus 4.5 and Opus 4.6. It's the second strongest open-weights model available today, behind only Kimi K3.

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🤖 DEEPSEEK IS NOW #1 ON OPENROUTER, PASSING GOOGLE. DeepSeek handled 299M text requests this week, taking 27.1% of the platform versus Google's 25.0% and OpenAI's 16.8%. V4 is driving the shift, with agent workflows multiplying calls per task. $GOOGL

I think LLMs have made me grow and learn as a dev A lot about building things is knowing what exists, what methods work well, and when to apply it all. With an LLM i'm constantly learning about things I didnt know and building things in ways I would never of had time to before

MegaMasterX@megamasterx.dev · 5d ago

it feels so freaking good to code, dude. like human to IDE. how do ai-pilled people not find joy in doing this by hand. i genuinely dont understand.

A 284 billion parameter model just undercut the market by 90x, and almost nobody in the West noticed. DeepSeek released V4-Flash-0731 this week. Open weights. 13B active parameters. $0.14 in, $0.28 out per million tokens.

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