Create a Crypto Token in 5 Minutes – No Code Needed | Bitbond
Create a Crypto Token in 5 Minutes – No Code Needed | Bitbond
9 months ago
bitbond.com
Get to know AVAX, the native token of Avalanche network - designed to deliver unmatched performance and scalability. 📊 Explore here: https://shorturl.at/V6ywe Stay tuned to find out why AVAX is driving innovation and transforming the digital landscape.💲🪙 #CryptoMeinPro #ZebPay #AVAXNetwork #AvalancheBlockchain #CryptoInvestor #Avalanche Ava Labs | ZebPay
0:35
Get to know AVAX, the native token of Avalanche network - designed to deliver unmatched performance and scalability. 📊 Explore here: https://shorturl.at/V6ywe Stay tuned to find out why AVAX is driving innovation and transforming the digital landscape.💲🪙 #CryptoMeinPro #ZebPay #AVAXNetwork #AvalancheBlockchain #CryptoInvestor #Avalanche Ava Labs | ZebPay
32K viewsSep 10, 2024
FacebookZebPay
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Avalanche isn't slowing down in 2026. 🔺@avax, one of the fastest L1s in crypto is rewarding early onchain participants — and the farming guide is live on @ZNSConnect.Step-by-step tasks. No guesswork 👇https://t.co/H9bFm3bJHK#Avalanche #AVAX #Airdrops #Web3 #ZNSConnect
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x.comZNS Drops
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看懂这块电路板，你就看懂了 AI 接下来要的另一条主线这两天 X 上一个学生把整个 GPT 烧进了一块板子，没 GPU、没 PyTorch、没一行代码在跑他叫 Luthira，多伦多大学工程学院本科生，跟同学 Krish Chhajer 一起搞的板子是 Terasic DE1-SoC，大学本科 FPGA 课的标配教学板听起来像本科课程作业，确实就是但他们做完之后，原推 4300 赞、36 万浏览，karpathy 本人都被疯狂进来了视频和 GitHub 全公开，谁都能点进去验证但那这事到底牛在哪？你得先知道 FPGA 是什么它不是 GPU，是一块可以按设计图把电路连出来的可编程芯片正常 AI 模型跑起来是这样：权重存在内存里，每次推理把它搬进 GPU，用 PyTorch 调度，CPU 控制循环他们做的是相反的事，把 GPT 的权重直接刻进 ROM 只读存储器里，等于焊死在硅片上结果就是这块板子里没有任何程序在跑没有 PyTorch、没有 CUDA、CPU 也不参与推理循环通电之后，电流流过那条被设计成 transformer 的电路，token 就一个一个出来数字也很猛，一秒能吐 5
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x.com铁锤人
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Tokenization is creating a world of 24/7 markets, with instant settlement, at the lowest fees in history.Avalanche, Built for Tokenization🔺
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x.comAvalanche🔺
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Did a very different format with @reinerpope – a blackboard lecture where he walks through how frontier LLMs are trained and served.It's shocking how much you can deduce about what the labs are doing from a handful of equations, public API prices, and some chalk.It’s a bit technical, but I encourage you to hang in there - it’s really worth it.There are less than a handful of people who understand the full stack of AI, from chip design to model architecture, as well as Reiner. It was a real delig
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x.comDwarkesh Patel
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onboarding to @MeteoraAG is easier with a starter page for new LPs and honestly i wish this existed when i started.https://t.co/sOhqWTSP3oit walks you through everything: deposit, shape your liquidity, set your range, review and deploy. guided. clean. no guesswork.LP Academy is in there too, 30 mins for basics, 1-2 hours for core concepts, 2-3 hours for strategies. structured enough to actually learn, not just watch.$1.6B+ in total fees earned by LPs on Meteora. the opportunity is real. the barr
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x.comyunus
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We benchmarked @AviciMoney's new team compensation proposal against every other ownership coin with a team package.The ecosystem standard: ~40-50% of genesis supply, 18-month cliff, 5 tranches at 2x → 32x from ICO price.Avici's proposal breaks the mold:▪️ 0% genesis allocation▪️25% max at full dilution (lowest ceiling in the ecosystem)▪️FDV-based targets ($100M to $5B) that price in future fundraising dilution▪️Hard lockup until Jan 2029▪️Two-phase structure: linear unlock through $1B, then tran
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x.com01Resolved
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说个暴论，2026 年 AI 行业的转折点，不是 GPT-5.5，也不是 o3，是蚂蚁@AntLingAGI 刚刚发布的 Ling-2.6-1T。我用 Ling-2.6-1T 跑了一个查理芒格的 100 个思维模型的硬核任务，结果真的太炸了，具体大家看视频演示。当大家都在卷参数、卷推理分、卷更长上下文，只有它反其道而行之，把 token 效率 当成了第一公民。最震撼的是这组数据：在 Artificial Analysis 全评测中，它展现出极高的智能-输出比（生成 16M tokens），整体 token 成本可降至可比模型的约四分之一，综合智能却接近 GPT-5.4 的非推理水平，直接落在所有模型都梦寐以求的“高智能 + 极低生产成本”象限。这才是真正的生产级 AI，而不是实验室刷榜玩具。Agent 时代最大的痛点从来不是模型不够聪明，而是用不起。一个复杂任务调用十几次模型、几十次工具、拉几百 K 上下文，token 成本指数级爆炸，很多 Agent 方案一到规模化就死掉，Ling 把这个天花板直接抬高了数倍。它走的是和 o1 类模型完全相反的路线：别人靠慢思考堆 token 刷榜，
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x.com阿绎 AYi
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