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We just launched our 100% free coding agent everywhere. Every person in the world has access to 5 free hours of DeepSeek V4 Flash, everyday. npm i -g freebuff

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James Grugett

8,229 subscribers

55,032 次观看 • 3 个月前 •via X (Twitter)

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Introducing a 100% free coding agent with DeepSeek v4 Pro Choose any model, all free: - DeepSeek v4 Pro/Flash - Kimi K2.6 - MiniMax M2.7 npm i -g freebuff
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Introducing a 100% free coding agent with DeepSeek v4 Pro Choose any model, all free: - DeepSeek v4 Pro/Flash - Kimi K2.6 - MiniMax M2.7 npm i -g freebuff

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Announcing 100% free MiniMax M3 with a blazing fast provider. - Up to 200 tokens/sec 🔥 - It's so good we had to crown it "RECOMMENDED"! Try now, it's free: npm i -g freebuff
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Announcing 100% free MiniMax M3 with a blazing fast provider. - Up to 200 tokens/sec 🔥 - It's so good we had to crown it "RECOMMENDED"! Try now, it's free: npm i -g freebuff

James Grugett

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DeepSeek V4 Flash costs just 1% as much as Fable 5 for the same task. Starting Thursday, it’s free and unlimited on Open Design for 7 days.
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DeepSeek V4 Flash costs just 1% as much as Fable 5 for the same task. Starting Thursday, it’s free and unlimited on Open Design for 7 days.

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this is the best trick to maximum usage limits on chatgpt codex codex's best kept secret is that your main agent doesn't have to do everything... custom agents are just files in ~/.codex/agents, and one file gives you a second worker on deepseek v4 flash > create ~/.codex/agents/deepseek-worker.toml > set model = "opencode-go/deepseek-v4-flash" with model_reasoning_effort = "max" > keep it bounded: one task packet, no scope creep, report back ```toml name = "deepseek_worker" description = "bounded implementation, testing, and cleanup on deepseek v4 flash" model = "opencode-go/deepseek-v4-flash" model_reasoning_effort = "max" ``` then @ deepseek_worker in the composer... your root agent plans while the worker ships the implementation planning on the main model, execution on the flash lane... that's the whole trick (we run this exact file, last i checked it keeps the heavy turns off the main thread)
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this is the best trick to maximum usage limits on chatgpt codex codex's best kept secret is that your main agent doesn't have to do everything... custom agents are just files in ~/.codex/agents, and one file gives you a second worker on deepseek v4 flash > create ~/.codex/agents/deepseek-worker.toml > set model = "opencode-go/deepseek-v4-flash" with model_reasoning_effort = "max" > keep it bounded: one task packet, no scope creep, report back ```toml name = "deepseek_worker" description = "bounded implementation, testing, and cleanup on deepseek v4 flash" model = "opencode-go/deepseek-v4-flash" model_reasoning_effort = "max" ``` then @ deepseek_worker in the composer... your root agent plans while the worker ships the implementation planning on the main model, execution on the flash lane... that's the whole trick (we run this exact file, last i checked it keeps the heavy turns off the main thread)

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Hello, world! It’s time for an #HourofCode adventure 🖥️ Learn the basics of coding with the trusty Agent to create helpful AI-powered inventions in the new Minecraft Hour of Code: Generation AI Start your coding journey here for free (no license required):

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245 tokens/sec on DeepSeek-V4-Flash and it’s only using 2 RTX 6000 Blackwell GPUs. tinycorp dropped a 2-GPU tinybox edition in honor of DeepSeek fully ready to expand to 4 GPUs later. The GPU middle class just got a serious upgrade.
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245 tokens/sec on DeepSeek-V4-Flash and it’s only using 2 RTX 6000 Blackwell GPUs. tinycorp dropped a 2-GPU tinybox edition in honor of DeepSeek fully ready to expand to 4 GPUs later. The GPU middle class just got a serious upgrade.

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Free Free Palestine 🇵🇸. A Message from the children of Gaza to all people around the world. 🌎 We only need our right to freedom, our right to self-determination. Free 🇵🇸

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Codex can now run Deepseek-v4- flash! There's a catch though. Deepseek's official setup switches your entire codex over to them, so your GPT models stop showing up at all. This is exactly what Codex Router is for. It adds models to the list instead of replacing them, so sol, grok, kimi and deepseek all sit in the same picker and i just grab whichever one suits the job. Deepseek v4-flash is $0.28 per million output tokens. opus 4.8 is $25. same picker, 89x apart. Links in the comment. setup's in the video 👇
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Ling-3.0-flash, the new MoE model from Ant Ling, is now free in Nous Portal for the next week! At 124B parameters and 5.1B active, it's quick to run and built for agent workloads: coding, search, research, and tool use. Try it free today at

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⚽ Are you LOCKED IN? Get ready for the BIGGEST WORLD CUP yet! Bet $100 on your team to WIN & earn $5 FREE BET every day during the group stages - that's $85 back in FREE BETS!

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