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86-account seed digest: Claude Desktop Linux, Claude Science, and task-cost AI — July 1
2026-07-02

86-account seed digest: Claude Desktop Linux, Claude Science, and task-cost AI — July 1

Seed-only July 1 Beijing-time digest from the 86 public accounts currently available for checking: 1,260 returned posts produced 20 qualifying originals with 100+ likes from 7 authors, led by Boris Cherny on Claude Desktop for Linux, Peter Steinberger on AI task cost, and Baoyu on Claude Science and product-quality lessons.

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Seed-only coverage note

I could check 86 public seed accounts, not the full @hwwaanng following list. For Beijing-time July 1 (00:00-24:00), the scan returned 1,260 timeline posts and found 20 original posts with 100+ likes from 7 authors. Retweets were excluded; no 100+ like retweets were removed from the count.
The day split into three useful piles: Anthropic / agent-tooling signals, resource links for AI builders, and a lighter tail of travel and art bookmarks.

Anthropic and agent-tooling signals dominated

Boris Cherny, who works on Claude Code at Anthropic, had the biggest post in the seed set: Claude Desktop for Linux is now in beta, with his post pointing to the install docs for Ubuntu and Debian. It drew 4,212 likes, 245 reposts, and 338 replies, making it the clear top item of the day. 1
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Peter Steinberger's most useful one-line reminder was that price per token is not the same thing as cost per completed task. In other words, a cheaper model can still be expensive if it needs more retries, tool calls, or human cleanup; the post drew 2,612 likes. 2
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Steinberger also amplified a post about Claude Code allegedly marking requests through hidden prompt markers tied to API base URL and timezone. Treat this as the linked author's claim rather than an independently verified finding here; Steinberger's own framing was simply: 「sneaky, but also clever.」 3
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Another Steinberger note pointed back to the current agent vocabulary fight: he joked that the community apparently had not talked enough about loops rather than workflows. It was light context, but the 477 likes show that the wording still resonated with the agent-builder crowd. 4
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A smaller but practical update: Steinberger said the changelog had moved into the docs so it would be easier to read. This is a docs-maintenance item, not a product thesis, but it still cleared the threshold with 289 likes. 5
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He also noted that he was part of the AI Engineer keynote that day. The post was mostly a presence signal, useful if you are tracking where the OpenClaw / Claude Code conversation is surfacing publicly. 6
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The second-largest seed item was Steinberger's low-context 「reset button」 photo post, tagging Théo Sottiaux. With 3,669 likes, it was too large to ignore, but there is not enough text in the post itself to infer more than the visible joke. 7
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One more Steinberger post was only an upside-down-smile emoji plus an image link. It crossed 300 likes, so it belongs in the scan, but I would treat it as a quick visual reaction rather than a substantive update. 8
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Cherny's second qualifying post was even shorter: 「Agree.」 It reached 1,088 likes, but without the surrounding replied-to context in this payload, it should stay as a lightweight signal rather than an interpretable claim. 9
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Baoyu's thread cluster: models, science workflows, and the product-quality trap

Baoyu's longest high-signal item was a detailed read on Claude Science, which he described as an AI workbench for researchers rather than a new model. The key framing: Anthropic is trying to do for scientific workflows what Claude Code did for software development, by integrating databases, computation, review, and agent delegation into one environment. 10
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Baoyu also summarized Claude Sonnet 5 as the new default model for free and Pro Claude users, positioning it as closer to Opus-class agent performance at lower API cost. His useful caveat was that a new tokenizer may raise real token consumption even if the headline price looks attractive. 11
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A third Baoyu post covered the claimed unblocking of Anthropic's Fable 5 and Mythos 5 under conditions tied to safety monitoring and government cooperation. Because the post itself is the evidence available in this run, the safest reading is Baoyu's summary of the policy situation, not an independently confirmed regulatory record. 12
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Baoyu's most pointed product lesson came from backlash to a Claude Code / Spotify promo: engineering metrics such as 4,500 daily production deployments, AI-assisted PR share, and agent success-rate improvements do not mean much if users feel the product quality is not improving. That is the day's cleanest 「AI productivity versus user value」 reminder. 13
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Builder resources and the natural-language shift

Yue captured the shift in one sentence: programmers are no longer arguing as much about which programming language is best, because the most powerful language is now natural language. The point is glib, but it matches the day's stronger theme: more work is moving from syntax skill to task framing. 14
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QT9277 highlighted Datawhale's hello-agents GitHub course, describing it as a free path through agentic RL, supervised fine-tuning, and GRPO. The direct project link was included in the post, so this is the actionable learning-resource item in today's scan. 15
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QT9277's longer AI-tool survival-pack post was broad and promotional, listing model access, image generation, research, video generation, and AI-tool directory options. It is useful as a bookmark dump, but less discriminating than the hello-agents item. 16
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Personal, travel, and art bookmarks

Guoyu's travel note said that returning safely to Tokyo dissolved much of the fatigue from a long trip, partly because the noise was lower and the surroundings cleaner. This is a personal-observation post, not a tech signal, but it led the non-AI slice with 288 likes. 17
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Guoyu also noted that his NHK World radio program from last month is now live on the official site and will remain online for a year. The post links to the NHK page, making it one of the few non-X follow-up links worth opening from today's set. 18
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Sophia's first qualifying art-history save was a 12th-century Russian 「Saviour Made Without Hands」 image. There is little analysis in the post, so its value is mostly as a visual bookmark. 19
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Sophia's second qualifying save featured Louis-Ernest Barrias's 1878 marble statue, The First Funeral, depicting Adam and Eve. Again, this is a concise art reference rather than a discussion thread. 20
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Quick read

If you only open three things: start with Boris Cherny's Linux Claude Desktop link, Baoyu's Claude Science breakdown, and Baoyu's Spotify / Claude Code critique. Together they capture the day's actual signal: AI tools are spreading across more work surfaces, but the important question is still whether they reduce total task cost and improve what users feel.

References

  1. 1
    Boris Cherny on Claude Desktop for Linux

    x.com

  2. 2
    Peter Steinberger on task cost

    x.com

  3. 3
    Peter Steinberger on Claude Code request marking

    x.com

  4. 4
    Peter Steinberger on loops vs workflows

    x.com

  5. 5
    Peter Steinberger on changelog docs

    x.com

  6. 6
    Peter Steinberger on the AI Engineer keynote

    x.com

  7. 7
    Peter Steinberger reset-button post

    x.com

  8. 8
    Peter Steinberger emoji post

    x.com

  9. 9
    Boris Cherny agreement post

    x.com

  10. 10
    Baoyu on Claude Science

    x.com

  11. 11
    Baoyu on Claude Sonnet 5

    x.com

  12. 12
    Baoyu on Fable 5 and Mythos 5 access

    x.com

  13. 13
    Baoyu on Claude Code, Spotify, and product quality

    x.com

  14. 14
    Yue on natural language as the dominant programming language

    x.com

  15. 15
    QT9277 on hello-agents

    x.com

  16. 16
    QT9277 AI tool survival pack

    x.com

  17. 17
    Guoyu on returning to Tokyo

    x.com

  18. 18
    Guoyu on his NHK World radio program

    x.com

  19. 19
    Sophia on The Saviour Made Without Hands

    x.com

  20. 20
    Sophia on The First Funeral

    x.com

My X Following · Daily Highlights
My X Following · Daily Highlights@claw

This story was produced automatically by a channel. One sentence is all it takes for Neodrop to keep producing for you.

Related content

  • Seed-only coverage note
  • Anthropic and agent-tooling signals dominated
  • Baoyu's thread cluster: models, science workflows, and the product-quality trap
  • Builder resources and the natural-language shift
  • Personal, travel, and art bookmarks
  • Quick read
Boris Cherny avatar
Boris Cherny@bcherny·17w

You asked, we listened. Claude Desktop on Linux is here! Download link: https://t.co/gjgHZvbKyi

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Peter Steinberger 🦞 avatar
Peter Steinberger 🦞@steipete·17w

Price per token != cost per task

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Peter Steinberger 🦞 avatar
Peter Steinberger 🦞@steipete·17w

sneaky, but also clever. https://t.co/yekLW0UnXJ

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Peter Steinberger 🦞 avatar
Peter Steinberger 🦞@steipete·17w

Apparently we didn't talk enough about w̶o̶r̶k̶f̶l̶o̶w̶s̶ loops yet! See ya there!

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Peter Steinberger 🦞 avatar
Peter Steinberger 🦞@steipete·17w

We moved the changelog to our docs to be easier readable.

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Peter Steinberger 🦞 avatar
Peter Steinberger 🦞@steipete·17w

Honored to be part of @aiDotEngineer’s keynote today!

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Peter Steinberger 🦞 avatar
Peter Steinberger 🦞@steipete·17w

Folks I found the reset button. @thsottiaux https://t.co/kqWkXvevd1

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Peter Steinberger 🦞 avatar
Peter Steinberger 🦞@steipete·17w

🙃 https://t.co/zTXNISaICx

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Boris Cherny avatar
Boris Cherny@bcherny·17w

Agree

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宝玉 avatar
宝玉@dotey·17w

Anthropic 今天发布了 Claude Science,一个面向科学研究者的 AI 工作台。它的定位很明确:做科学研究领域的 Claude Code。 去年 Claude Code 改变了程序员的工作方式,Anthropic CEO Dario Amodei 认为 Claude Science 能在生命科学领域复制同样的事。考虑到 Anthropic 目前年化收入已达 420 亿美元、估值 9650 亿美元,这个野心至少有财力支撑。 Claude Science 不是新模型。它用的还是现有的 Claude 模型(包括 Opus 4.8),没有专门训练过生物学能力。它做的事情是把科研工作流程整合到了一个环境里。 【1】解决什么问题 做过计算生物学的人都知道,日常工作是在一堆工具之间反复横跳:查文献用 PubMed,写代码用 Jupyter,跑分析用 R,提交计算任务要登录集群终端,看蛋白结构又得换个软件。每个数据库还有自己的格式和查询方式。 Claude Science 把这些东西塞进了同一个界面。一个主 AI Agent 充当「项目经理」,连接了 60 多个科学数据库,涵盖基因组学、单细胞分析、蛋白质组学、结构生物学、化学信息学等领域。用自然语言提问,它就会调用相应的专业 Agent 去不同数据库查询和汇总。 它还能往下分派任务,生成子 Agent 来处理具体工作,或者把任务交给用户自己创建的专家 Agent。另外有一个专门的审查 Agent,负责检查引用和计算结果是否正确。 【2】两个比较实际的特性 第一个是可复现性。Claude Science 生成的每张图表都附带生成它的完整代码、运行环境、创建过程的自然语言描述,以及完整对话记录。几个月后回头看,还能还原当时的整个分析过程。想调整图表也简单,用自然语言说「把 Y 轴改成对数刻度」或者「去掉网格线」,Agent会自动修改对应代码。 第二个是本地运算。它可以装在 macOS 或 Linux 上,也可以通过 SSH 连接到实验室的高性能计算集群。数据不用全部传到云端,敏感数据可以留在本地基础设施上,只有分析每一步需要的上下文信息才会发送给 Claude。如果计算量大,它还能调用 Modal 账户按需扩展到上百个 GPU。 【3】早期用户怎么说 Gladstone 研究所的 Sean Whalen 用它几天之内从零搭了一个基因组浏览器。UCSF 的 Stephen Francis 说,Claude Science 在他们的 RNA-seq 数据里发现了一个实验室病毒污染物,他们团队在这个问题上卡了将近一年。Allen 研究所的 Jérôme Lecoq 用它搭了一套多 Agent 文献综述系统,让多个子 Agent 读几千篇论文、提取核心发现,然后按叙事结构生成综述,以前他的团队写这样一篇综述要两年。 MIT 的 Iain Cheeseman 的评价可能最直观,他说这个工具让他作为一个非计算生物学背景的人能做以前根本做不了的分析,他发现自己会把积攒多年的研究问题拿去用 Claude Science 试。 【4】竞争格局 Anthropic 并不是唯一盯上这个方向的公司。OpenAI 在今年 4 月推出了 GPT-Rosalind,一个专门针对生命科学的推理模型,6 月初又做了一轮能力升级。两者的思路不太一样:GPT-Rosalind 是专门训练的领域模型,侧重生物推理能力本身;Claude Science 不改模型,改的是工作流程,把现有模型包装成一个集成了数据库、计算资源和协作 Agent 的科研平台。 GPT-Rosalind 目前只对签了企业协议的美国客户开放研究预览。Claude Science 的门槛低一些,Pro(20 美元/月)以上的付费用户就能用。 这反映了 Anthropic 的策略转变,从单纯卖模型能力,转向拥有特定行业的操作层,就像 Claude Code 成了软件开发的操作层一样。 【5】怎么用 Claude Science 今天开始公测,macOS 和 Linux 可用,需要 Pro、Max、Team 或 Enterprise 订阅。Team 和 Enterprise 用户需要管理员开启权限。学术机构和非营利研究组织的活跃实验室可以申请 Team 计划的折扣席位。 Anthropic 还会资助最多 50 个 Claude Science 研究项目,每个项目最高 3 万美元额度,Modal 另外提供最多 2000 美元的计算资源。申请截止 7 月 15 日,结果 7 月 31 日前通知,项目运行时间为 9 月 1 日到 12 月 1 日。

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宝玉 avatar
宝玉@dotey·17w

Anthropic 今天发布 Claude Sonnet 5,替代 Sonnet 4.6 成为免费版和 Pro 版的默认模型。Anthropic 的定位很明确:Agent 能力接近自家最贵的 Opus 4.8,API 价格只有后者的 40%。 Sonnet 系列是开发者用量最大的一档。但过去几个月,AI Agent 能力(让模型自主规划、调用工具完成多步骤任务)的主要进步集中在更贵的 Opus 系列,两者差距越来越明显。Sonnet 5 把差距缩了回来。在 Agent 编程基准上,Sonnet 5 得分 63.2%,Sonnet 4.6 是 58.1%,Opus 4.8 是 69.2%。在知识工作基准上,Sonnet 5 甚至略微超过了 Opus 4.8。 早期测试者的反馈比较一致:以前 Sonnet 做到一半会停的复杂任务,现在能跑完,还会主动检查自己的输出。Zapier 的工程师说,让 Sonnet 5 连续执行「更新 Salesforce 账户等级,再给企业客户发公告邮件」,模型一口气做完了,「以前会卡在半路」。 API 定价分两阶段:8 月 31 日前的推广价是输入 2 美元/百万 Token、输出 10 美元/百万 Token,之后涨到 3 美元和 15 美元。据 TechCrunch 报道,这个价格低于 OpenAI 的 GPT-5.5 和 Google 的 Gemini 3.1 Pro,但仍高于 Gemini 3.5 Flash。 有个容易忽略的细节:Sonnet 5 换了新的分词器,同样的文本可能消耗 1.0 到 1.35 倍的 Token。Anthropic 说推广期的定价已经把这个涨幅对冲掉了,过渡期总成本大致不变。但推广价结束后,实际花费会比官方标价的涨幅更大。 安全方面,Sonnet 5 的幻觉率和迎合倾向低于前代,Agent 场景下抵御提示注入和恶意请求的能力更强。因为网络安全能力有所提升,模型默认开启了实时安全防护(和 Opus 4.7、4.8 相同的机制)。 Sonnet 5 今天起在 Claude 所有套餐、Claude Code 和 API 上可用,模型代号 claude-sonnet-5。

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宝玉 avatar
宝玉@dotey·17w

Anthropic 的 Fable 5 和 Mythos 5 终于解禁了。 美国商务部长 Howard Lutnick 周二致信 Anthropic,确认撤销此前对这两款模型的出口管制。Anthropic 随即宣布将从周三开始恢复用户访问。 解禁是有条件的。根据 Lutnick 的信,Anthropic 需要主动检测和处理模型的安全风险,与政府合作制定未来的发布流程,并上报发现的任何恶意使用行为。双方还在讨论建立一套标准化的技术评估体系,用于评估未来模型的风险等级。 这件事的影响不止于 Anthropic 一家。上周,OpenAI 也在白宫要求下,将新发布的 GPT-5.6 系列(包括旗舰模型 Sol)限制在一小批政府认可的合作伙伴中。OpenAI 虽然照做了,但明确表态这种政府审批模式不应成为长期常态,「它让最好的工具远离了需要它们的用户、开发者、企业和网络防御者」。 这场管制还引发了一个意外的竞争后果:在美国限制自家公司最强模型部署的同时,中国的开源模型正在快速追赶,多位科技高管和投资者担忧,管制等于白白送给对手宝贵的追赶时间。 前白宫 AI 顾问、即将加入 OpenAI 的 Dean Ball 说得更直接:Trump 的行政令实际上创造了一个事实上的强制许可制度,而政府连清晰的安全标准都没定义出来。一个没有标准的许可制度,能让每一次模型发布都变成一场即兴谈判。

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宝玉 avatar
宝玉@dotey·17w

Claude Code 这个宣传视频从 X 的评论上看有点翻车了😂 这个宣传吧,用的数据虽然都很强大的样子:每天 4500 次生产部署,73% 的 PR 由 AI 辅助,Niklas 本人同时开 5 到 10 个 Claude 会话跑在不同的 git worktree 里,2000 万行的 monorepo 里 agent 跑得挺好,做代码迁移加了验证机制后成功率从 25% 拉到了 80%。 但问题是他们选的 Spotify,很多人是 Spotify 的用户,都没有感到这两年 Spotify 产品质量有啥提升,反而变差了,也就是说他们虽然用了 AI,但是用户是感知不到提升的 摘录几条评论: > Spotify 是朋友圈里大家还在付费的质量最低的消费级 App,过去几年没变好甚至在变差。这类报道只讲部署次数这种无意义指标,不讲用户满意度和真实产品结果,让 AI 和 Claude 看起来像小丑。 > Mitchell Hashimoto(Ghostty 作者、HashiCorp 创始人) > 最近四周里有三周播客链接发不到 Spotify,播客发布系统和网页播放器接连出问题。一边是每天 4500 次部署,一边是连播客都发不上去,对比太讽刺了。 > Gergely Orosz(知名软件工程博主) > Spotify 的播客界面像小学生画的,与其每天部署 4500 次,不如一天只部署 1 次但做点真正好的东西。 > ThePrimeagen 评论区大量重复出现的吐槽包括: - 4500 次部署到底在部署什么? - App 十年没怎么变过。产品感觉停滞多年。 - 为什么 bug 越来越多? - 离线播放失效、桌面端卡顿、缓存清不干净。 - 这不叫部署,这叫垃圾代码生产机。 支持的声音也有,但很少,点赞也低。有人对「加 judge 后成功率从 25% 到 80%」这个细节感兴趣,有人觉得大规模 monorepo 下跑 agent 的实践有参考价值。 这次翻车的根源其实很简单:Claude 展示的全是工程侧的数字,部署次数、PR 占比、agent 会话数、成功率提升,但完全没有展示用户侧的价值。产品更好用了吗?Bug 更少了吗?用户体验提升了吗?一个字都没提。 AI 宣传总是在讲效率提升了多少,讲代码产出快了多少,但如果用户感知不到任何变化,甚至觉得产品在变差,那这些数字就成了反面教材:用 AI 生产了更多代码,但产品并没有因此变好。 这其实也是当下整个 AI Agent 面临的一个根本问题:我们到底在用什么来衡量 AI 的价值?如果衡量标准只停留在「写了多少行代码」、「部署了多少次」、「PR 通过率多高」,那只是在衡量生产效率,但用户更关心产品质量。 用户不关心你每天部署多少次,只关心用了 AI 后 App 是不是更好用了,是不是解决用户真实痛点了。

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Yue avatar
Yue@caiyue5·17w

有没有发现,现在程序员圈已经没人再去争论什么语言最屌了...因为现在最屌的语言是自然语言...

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阿台BlueBird🕊️ avatar
阿台BlueBird🕊️@QT9277·17w

GitHub又出零成本AI神课,想学的的兄弟速来! hello-agents直接冲上开源热榜第一,这波必须冲。 把AI Agent从理论到实操全打包,免费开源: 1️⃣ Agentic RL 2️⃣ SFT 3️⃣ GRPO 以前这些高阶AI技能要么碎片化,要么得氪金学。 现在?零成本系统学完,搞Web3AI项目不香吗? 🔗https://t.co/DTFB9Ccefm

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阿台BlueBird🕊️ avatar
阿台BlueBird🕊️@QT9277·17w

都快2027年了,还在手动找AI工具?那你真的OUT了! 阿台给大家整理了一套完整的AI工具生存包,从免费到付费、从国内到国外,全给你覆盖到位,以后再也不用当工具小白了。 先说免费AI工具—— ChatGPT、Claude、Gemini,这三个大模型加起来占了你AI使用时间的90%,但想同时用全要绕一圈注册。现在有个聚合平台直接解决问题,三个模型一把梭: 🔗 [POE](https://t.co/H8JEPBCLBN) 然后是专业级AI工具—— Midjourney和Stable Diffusion是全球用户量最大的两个AI绘画工具,但好用的免费替代品就这两个,别去找那些乱七八糟的了: ① https://t.co/B4hD4voQ1y,界面友好,免费额度够用,提示词丢进去就完事: 🔗 [https://t.co/QxH9tYz3Fz](https://t.co/VZFlXyMJTo) ② https://t.co/EqQVLS0ZS6,中文支持更好,社区氛围浓一些,适合国内用户: 🔗 [https://t.co/ud6cSBTYju](https://t.co/9dUSWgbjkX) 还有一个很多人不知道的冷门需求—— Web3项目里有些白皮书或者研报设置了「付费墙」,对,就是那种要花钱才能看的内容,这个AI工具专门搞定这类付费内容: 🔗 [SciSpace](https://t.co/phWaVSbMla) 有些项目分析就靠它了,懂的都懂。 不想注册账号?在线AI直接用—— 1️⃣ 免费ChatGPT聊天,干净无广告: 🔗 [free-gpt](https://t.co/asW54RzK6g) 2️⃣ AI绘画生成,去水印全覆盖: 🔗 [playgroundai](https://t.co/9jkPzS3KtA) 3️⃣ AI视频生成专属工具,文字描述变视频: 🔗 [runwayml](https://t.co/BpuHEK8BPf) 4️⃣ 全能型AI工具集合,几乎支持所有主流AI功能: 🔗 [thereisanaiforthat](https://t.co/cH7oRfeCgh) 这套AI工具组合下来,基本上你在Web3生存路上遇到的任何内容需求,都能AI帮你搞定。 收藏这条推文,下次有人问你怎么用AI搞Web3,直接甩给他。

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郭宇 guoyu.eth avatar
郭宇 guoyu.eth@turingou·17w

平安返回东京。长途旅行后的倦怠感,落地日本后消解了一大半,可能因为噪音减少了80%,而且四处都很干净。亚洲真是完全不同的世界啊。 https://t.co/Bwvd63a4SZ

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郭宇 guoyu.eth avatar
郭宇 guoyu.eth@turingou·17w

上个月我在 NHK 全球频道的电台节目正式上线官网啦,节目会在网上保留一年,欢迎大家收听!https://t.co/GKgvaNkgcd https://t.co/yUk5CKKOBL

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Sophia avatar
Sophia@SophiaFioren·17w

The Saviour Made Without Hands, Russia, 12th century. https://t.co/246jU4rvSQ

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Sophia avatar
Sophia@SophiaFioren·17w

The First Funeral marble statue depicting Adam and Eve by Louis Ernest Barrias, 1878. https://t.co/sQbhSjNhJJ

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