Luke ⟠ ⟠ ⟠ 🌾🌞⚔️

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Luke ⟠ ⟠ ⟠ 🌾🌞⚔️

Luke ⟠ ⟠ ⟠ 🌾🌞⚔️

@GatheringGwei

⟠ @dphnAI ⟠

Melbourne Katılım Kasım 2018
5.8K Takip Edilen4.2K Takipçiler
Luke ⟠ ⟠ ⟠ 🌾🌞⚔️ retweetledi
老张1982
老张1982@cryptoresetlife·
不用交流了,大机霸进场了
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老张1982
老张1982@cryptoresetlife·
应该是要开质押挖矿导致币价暴涨了。 $pod 0.065u。 第一的老哥涨这么快,是国人的话能不能交流一下挖矿经验啊…… 官方不让改参数,你是堆卡了么…😁
老张1982@cryptoresetlife

谢谢官方@dphnAI !!! 5天给了7220个 $pod 目前价值250u 之前币价拉到0.045。希望继续 🙏

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0xJeff
0xJeff@0xJeff·
Inference szn is here ​ More demand for Enterprise AI + OpenClaw + Hermes ➝ More demand for inference ➝ More revenue for decentralized inference players serving cheap/efficient inference ​ @AskVenice already serving 50B+ tokens per day across top text, image, video models. Private AI (TEE) and Uncensored models is their moat. ​ Venice's uncensored model moat is served by @dphnAI team, who is now on the cusp of launching their own inference network powered by crowdsourced consumer/gaming GPUs in a peer-to-pool model. ​ (think Aave-like pool — deposit GPUs to earn yields & withdraw any time) ​ According to the team, they're running VVV x DIEM playbook but without the DIEM (I'll let you guess what this means) ​ Moore's Law and Jevon's Paradox playing out in real time. ​ Decentralized Inference players are here to capture it.
0xJeff@0xJeff

Dolphin AI is on a generational run right now ​ People are finally catching up to the inference thesis ​ (Congrats to all the Substack subscribers who got in)

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Luke ⟠ ⟠ ⟠ 🌾🌞⚔️ retweetledi
老张1982
老张1982@cryptoresetlife·
项目方发布了白皮书,还贴心的用gpt翻译了中文版。毕竟排行榜前几位都是认识的国人老哥👍 下周会上线质押合约,可以通过绑定获得奖励倍数。 drive.google.com/file/d/1DnTcpj…
老张1982@cryptoresetlife

谢谢官方@dphnAI !!! 5天给了7220个 $pod 目前价值250u 之前币价拉到0.045。希望继续 🙏

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Dolphin
Dolphin@dphnAI·
First epoch of rewards for node providers has been paid out 50K $POD distributed to 33 providers based on relative contributions to the Qwen 35B inference pool datagen.dphn.ai
Dolphin@dphnAI

Node provider rollout has been going well Our pool of inference nodes running Qwen 3.6 35B have generated over 3.2B tokens so far Total inference bandwidth -> 9400 t/s 28x RTX 4090 12x RTX 5090 8x RTX PRO 6000 & many other cards API access coming soon 🐬

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xiaoming
xiaoming@xiaomingishere·
Looking into and accumulating $pod here, seems to be an undercrowded trade here. They are partnered with venice to release an uncensored model and is already pulling 9k tokens per minute (fascinating number for a newly released model) tokenomics are pwetty tight atm, they just did a 59% supply burn, bringing the total supply to 410m and if im not wrong only 130m out of that 410m is ACTUALLY circulating, the rest is staked with 3 month cooldown. $vvv at 400m and $pod at 4.5m makes it really undervalued for a partnership between them revenue flywheel which $pod will adopt is - user pay for inference - 100% of revenue goes straight to $pod buyback - node operators earn separate $pod rewards for supplying compute, directly incentivising them to "farm" - more usage -> more buybacks -> higher price -> more nodes and stakers -> cheaper and better inference -> more usage 0xeD664536023d8E4b1640C394777D34aBAFF1dF8F
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Dolphin
Dolphin@dphnAI·
Node provider rollout has been going well Our pool of inference nodes running Qwen 3.6 35B have generated over 3.2B tokens so far Total inference bandwidth -> 9400 t/s 28x RTX 4090 12x RTX 5090 8x RTX PRO 6000 & many other cards API access coming soon 🐬
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Dolphin@dphnAI

Dolphin Inference Network node operation is now live for anyone who would like to beta test before we go into production $POD rewards live for testers Repurposing idle GPUs to run Qwen 3.5 35B MoE

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Luke ⟠ ⟠ ⟠ 🌾🌞⚔️ retweetledi
老张1982
老张1982@cryptoresetlife·
把简单问题复杂化了,用官方一键部署命令就行,之前用codex部署,5090设置的太保守,优化了一下双卡5090,开到了48slots稳定运行。 现在是双卡5090+单卡pro 6000。 平均一分钟一个币。✌️ 之前11个人在挖,现在26个人。 希望官方下周打币。@dphnAI
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老张1982@cryptoresetlife

部署上10分钟挖了一个 $pod ,好像产出还可以吧。 支持偶数或单卡60g以上显存。

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Targon
Targon@TargonCompute·
The teams at @AskVenice & @dphnAI just developed the most uncensored version of Mistral 24B using confidential compute on Targon. We look forward to continue collaborating with teams building the future of decentralized AI. ☁️
Venice@AskVenice

Venice Uncensored 1.2 is now live. Developed with @dphnAI, this model delivers the most uncensored version of Mistral 24B. Upgraded with vision support, a 4x larger context window, and stronger tool-use capabilities. Trained on Bittensor Subnet 4 @TargonCompute.

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Venice
Venice@AskVenice·
Venice Uncensored 1.2 is now live. Developed with @dphnAI, this model delivers the most uncensored version of Mistral 24B. Upgraded with vision support, a 4x larger context window, and stronger tool-use capabilities. Trained on Bittensor Subnet 4 @TargonCompute.
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