Joined May 2022
1,043 Photos and videos
Lauren 鈴榮 ./ retweeted
Phase 1 Testnet Whitelist Extension 💫 Early access to zero-slippage trading Join Now → stabilizer.finance/whitelist
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Rocky 在被小黄鸡突然表白的那一刻,Seismic机器人瞬间社死,脸红到耳根子都红了 @SeismicSys 这也太真实了吧! 🤣🤣 @NoxxW3 | @heathcliff_eth x.com/lingrooo/status/206352…
哈哈哈Rocky 梦到零食了!满桌炸鸡可乐薯片堆成山,眼泪哗啦啦往下掉, @SeismicSys 在旁边默默闪光守护隐私… 这吃货的快乐与痛苦谁懂啊😂🤣🍟 @NoxxW3 | @heathcliff_eth x.com/lingrooo/status/206234…
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图像模型更新得越来越快,但我更在意的不是又多了一个选择 而是文字、图片、编辑,正在被压进同一条工作流里。 GPT Image2上线 @commonstack_ai 后,创作者少切一次工具,构建者就少一层摩擦 下一轮竞争,拼的不是模型数量,而是谁能让创意更快落地🎨 #Commonstack
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Lauren 鈴榮 ./ retweeted
GPT Image 2 is available now on @commonstack_ai This is the latest SOTA image model from OpenAI for you to create, generate or edit images. Try now on Commonstack 🎨
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Lauren 鈴榮 ./ retweeted
902K trades and counting. The Pod Trading Competition is running hot. Join now and start trading: test.pod.network
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Lauren 鈴榮 ./ retweeted
Our Top 10 traders are straight chads. Where are you on the leaderboard? Let's see it 👇
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这周 @axisrobotics 的更新很扎实,不是简单堆功能,而是在把 数据、训练、失败任务评估和模型发布 整条链路真正跑通。 自动化流程更标准化,TaskGen 覆盖继续扩大,持续增长训练也在验证模型能否稳定进步 x.com/axisrobotics/status/20…
Axis Weekly This week was about making the AXIS loop more scalable end to end: automating data-to-model workflows, testing recovery-driven training, expanding TaskGen coverage, and preparing the dataset and model stack for release. Key updates: - Data-to-model automation: We used scripts to speed up and standardize several repetitive but critical workflows. - Continuous-growth training: We completed multi-data-scale training and success-rate comparisons across several failure tasks. - Failure task expansion: A new batch of failure tasks has been pushed to test, expanding the evaluation range for ablations across data scale, data quality, and randomization. - TaskGen: Articulated-object generation is now merged into the automatic generation pipeline. - Model and release prep: We finished the first round of fine-tuning, evaluation, and benchmarking, completed the dataset’s conference submission, and are now improving experimental results for release. Details below 🧵
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云端巨头继续堆资本开支,成本迟早会沿着 API 和订阅传给用户 所以我越来越看好本地与分布式推理。 把一部分算力、数据和选择权拿回自己手里 @Gradient_HQ 的 Parallax 让我看到另一条路: 别人忙着卖铲子, 我们也可以拥有自己的矿场 x.com/gradientintern/status/…

and you can have your very own gold digging at home via local ai. few truly understand long term benefits, build with parallax
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哈哈哈Rocky 梦到零食了!满桌炸鸡可乐薯片堆成山,眼泪哗啦啦往下掉, @SeismicSys 在旁边默默闪光守护隐私… 这吃货的快乐与痛苦谁懂啊😂🤣🍟 @NoxxW3 | @heathcliff_eth x.com/lingrooo/status/206234…
在星光闪烁的夜空,Rocky戴着紫色巫师帽,骑着扫帚帅气飞驰✨ @SeismicSys 施展魔法 用零知识证明与机密计算技术, 把每一次冒险都守护得神秘又安心 今晚,也来一起乘风破浪吧!😍😍 @NoxxW3 | @heathcliff_eth x.com/lingrooo/status/206184…
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Lauren 鈴榮 ./ retweeted
Hurry, join our testnet trading competition. It's free to enter and the top prize is a Rolex Submariner. Sign up: test.pod.network
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机器人真正难的,不是学会一个动作。 而是换个场景、换个身体,能把长任务稳定做完。 @axisrobotics 开始把重点放到 Long-Horizon 和 Multi-Embodiment,我觉得这一步很关键 数据量只是表面,能让模型跨形态迁移、在复杂环境里持续执行,才是 Physical AI 真正的含金量🤖 x.com/axisrobotics/status/20…
We recently launched a new set of robotic data collection tasks, with a focus on long-horizon tasks (LH) and cross-embodiment tasks (Multi Embodiment). These include bimanual teleoperation and task adaptation across different robot morphologies. Why this matters: 1. Axis is moving toward more complex, real-world robotic tasks. 2. Long-horizon tasks make complex data collection more scalable in simulation. 3. Staged checkers turn long tasks into clearer training signals. 4. Cross-embodiment tasks help Axis support multiple robot forms and control modes. 5. Axis is improving both the diversity and complexity of data. 6. The goal is not just more data, but more valuable data. Details below. 🧵
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HYPE ALERT! Pod Trading Challenge is officially live! 🚀 Free entry. Unlimited testnet funds. 3 weeks only. And a top-tier ROLEX prize is up for grabs! Want to fight your way up the leaderboard? This is your chance to prove your trading skills. Join the challenge now: test.pod.network/ @poddotnetwork #podnetwork #tradingchallenge @TheMoonCarl @RektCapital @CryptoDonAlt Let’s hype up this trading showdown together. Who’s ready to step in? 🔥
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Lauren 鈴榮 ./ retweeted
just use pod
just use pod
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别关注我了,关注我的人越多,我压力越大
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在星光闪烁的夜空,Rocky戴着紫色巫师帽,骑着扫帚帅气飞驰✨ @SeismicSys 施展魔法 用零知识证明与机密计算技术, 把每一次冒险都守护得神秘又安心 今晚,也来一起乘风破浪吧!😍😍 @NoxxW3 | @heathcliff_eth x.com/lingrooo/status/206184…
满怀新鲜蔬果,Rocky笑得眼睛都弯了🤣 注入满满新鲜活力,用零知识证明与机密计算技术, 让每一天都健康又安心 属于你一个人的隐私能量🥕🫑 @NoxxW3 | @heathcliff_eth x.com/lingrooo/status/206098…
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Lauren 鈴榮 ./ retweeted
go go go!
The Pod Trading Challenge is officially LIVE. Join our testnet and start trading in less than 30 seconds. The top trader will win a Rolex Submariner. JOIN: test.pod.network
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我玩过一堆所谓的代币化资产,表面上年化诱人,结果极端行情一到,底层池子直接干涸 RWA这破玩意儿,又双叒叕被碎片化流动性卡死在池子里,你想手动撤资调仓,对不起,无情的滑点能直接把你本金咬掉一大块 这种所谓的“创富机会”,操作摩擦成本高得离谱,咱们要的是搞钱的结果,而不是这些恶心的链上运维🩸 所以,链上金融要走向主流,必须得有一层硬核的基建把这些恶心的复杂度全部吸收掉 →这就是 one-click DeFi(一键DeFi)要革的命。用户只负责一件事:分配资本(Allocate capital),而那些复杂的黑箱操作和风控,全交给底层的自动化机器 最近死磕 @ConcreteXYZ 就是因为看到了这种底层范式的转变 这套 managed DeFi 基础设施彻底把所有的手工搬砖活儿全部折叠了 你把资金打进去,底层系统自动执行高度精密的 onchain capital deployment(链上资本部署),直接让你跟那些华尔街老钱拉平技术代差⚙️ 看看他们是怎么用系统重塑资本流向的: ctAssets:你存入本金拿到的是标准化的金库份额凭证,它本身就是自带乐高属性的生息资产,未来还能直接作为抵押品去隔离池开杠杆。 automated compounding:全自动复利,合约自己在底层疯狂卷收益,根本不给你留任何“资金站岗”的时间,彻底干掉人工调仓的延迟。 structured DeFi:通过精密的金库架构,在受控的策略宇宙里自动再平衡,遇到黑天鹅自动启动防御机制,用代码护栏替代所谓的“口头信任”。🛡️ 这种正规军的铁律做法,直接把DeFi的竞争维度从“谁家会画饼发币”拉高到了真正的 capital efficiency(资本效率)。老钱们和真正的巨鲸大资金是绝对不会去玩手工挖矿的,他们只认结构化的、能够通过代码强制执行的 risk-adjusted yield(风险调整后收益) Concrete 正在搭建的,就是这种面向未来的 institutional DeFi(机构级DeFi)基建。🏦 👉 Explore Concrete at concrete.xyz/ 🎯 #RWA #RealWorldAssets #DeFiLeverage #LiquidityBoost
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满怀新鲜蔬果,Rocky笑得眼睛都弯了🤣 注入满满新鲜活力,用零知识证明与机密计算技术, 让每一天都健康又安心 属于你一个人的隐私能量🥕🫑 @NoxxW3 | @heathcliff_eth x.com/lingrooo/status/206098…
在阳光洒满的街头,Rocky戴着鸭舌帽帅气滑板冲刺 @SeismicSys 乘风破浪,用零知识证明与机密计算技术, 让每一次自由滑行都安心又痛快 滑得再快,隐私也稳稳跟上!🛹⭐️ @NoxxW3 | @heathcliff_eth x.com/lingrooo/status/205998…
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Lauren 鈴榮 ./ retweeted
S&P 500 ath NASDAQ ath CLARITY Act Perps legalized What a time to trade.
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AI agents 的增长曲线有点吓人 一旦 agent 开始持续运行、互相协作、24/7 执行任务之后 token usage 根本不会是线性增长 为什么 distributed inference 会变得这么重要。 未来拼的是谁能提供足够便宜、足够稳定的 inference capacity 就在 @Gradient_HQ x.com/gradientintern/status/…
and agentic token usage growth expectations look like this btw. if you cannot supply, the price goes vertical. bullish on local and distributed edge ai inference.
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