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@faithdefender More seriously, when I start a project, I go for a walk and talk it through while @ReadAI_ listens and transcribes. That's the prompt. Cover everything you can about what you are trying to build and who you are trying to build it for. That's how I started https://t.co/8L5xphk0qQ

Today we're launching a rebuilt version of Claude Code on desktop. The app has been redesigned for the ground up to make it easier than ever to parallelize work with Claude. I haven't opened an IDE or terminal in weeks. Excited for you all to give it a shot! https://t.co/JV4YQNxZh1

Today we're launching Replay When you're building with agents, the conversation is the work. The code is a byproduct. But that conversation disappears when you close the terminal Replay gives your Claude Code sessions a permanent, shareable home. Upload a session → browsable thread with inline diffs, tool calls, and decision traces And it's open source: https://replay[dot]md

@arena Ready to try Gemma 4 on W&B Inference? We're giving away $25 in inference credits. All you have to do is reply "Gem Drop" to our first tweet, and dm us your org ID or email you use to sign in to wandb. Get started here: https://t.co/Y3kCgOw8V2 https://t.co/nY3fBQsksf

New essay on the economics of structural change and the post-commodity future of work. 1. Almost any question about the impact of advanced AI on the economy needs to start at the same place: what is still scarce? Answer that, and the analysis becomes pretty straightforward. This essay explores what becomes scarce if AI really can replicate most of what humans do in production, and what this mean for the future of jobs. 2. My conjecture, working through the economics: labor reallocates across sectors, and the sector it reallocates to has properties that keep labor a meaningful share of the economy. Ultimately this is about the structure of demand itself. For this, we have to go back to Girard, Augustine and Rousseau: once people's base needs are met, their preferences shift to comparative motives (e.g., status, exclusivity, social desirability). This motive is inherently non-satiated. 4. The key paper is Comin, Lashkari, and Mestieri (Econometrica 2021). As people get richer, they don't buy proportionally more of everything. They shift spending toward sectors with higher income elasticity. They estimate income effects account for 75%+ of observed structural change. 5. The ironic consequence: the sector that gets automated becomes a smaller share of the economy, not a larger one. Agriculture got massively more productive and its share of employment collapsed. Manufacturing too. The "stagnant" sectors absorb the spending and the jobs. 6. So the question is: which sectors have high income elasticity in a post-AGI world? I argue it's what I call the relational sector. Categories where the human isn't just an input into production, it is part of the value. 7. Why does the relational sector have high income elasticity? Because human desire has a mimetic, relational dimension. We don't just want things for their intrinsic properties. We want what others want, and we want it more when others can't have it. Girard, Rousseau, Augustine, and Hobbes all saw this. 8. In work with Kristóf Madarász, we showed this experimentally: WTP roughly doubles when a random subset of others is excluded from the good. And in new work with Graelin Mandel, AI involvement kills the premium. Human-made art gains 44% from exclusivity; AI-made art only 21%. 9. This all comes together for the core argument. The sector that absorbs spending as AI makes commodity production cheap is one where human provenance is part of the value, and demand for it grows faster than income. Exactly the profile that keeps labor meaningful. 10. To be clear about the claim: I'm NOT saying aggregate labor share must rise. It may fall. The claim is about sectoral composition, i.e., where expenditure and employment go once commodities get cheap, and the fact that the sector that will absorb reallocated labor maps to a substantial component of human preferences and desire. 11. If you're interested in the formal model, a linked companion technical note works out all the economics. Read the essay here: https://t.co/NcjVgn2o8g

"I'm just contemplating the fact that one moron, one psychotic moron, one capricious idiot, has completely bollocksed up the global economy not only to the detriment of his own people, but the detriment of the planet. ... It's like how much more of this can the planet take?" https://t.co/NPg5S4hcqy

@themaxburns give him time, it will get worse. https://t.co/jXayImZNi2

@themaxburns give him time, it will get worse. https://t.co/jXayImZNi2

@sd_marlow @CaptainHaHaa @nikitabier I try. It's why I built https://t.co/kiuZ7QXLzb

this OpenClaw bot scans every commercial parking lot in a city for missing EV chargers. when it finds one, it sizes the install on their actual lot, renders branded charging stations on the spot, and mails the owner a postcard, all on autopilot. here's how EV installers can close $100K–$400K commercial charger jobs before local incentive programs run out: - pulls every commercial property in a metro from public records - cross-references the national EV charger directory to find chargerless lots - captures the parking lot via Google satellite imagery - counts spaces + sizes the install using workplace charging benchmarks - computes the federal tax credit, state utility rebates, and payback in years - renders branded EV chargers on their actual parking lot with AI - prints a postcard with the before/after lot + ROI + QR code every step from property detection to mailbox runs without a human reply "EV" + RT and i'll send you the full guide so you can build this too (must be following so i can DM)

We caught up with @osanseviero from the @GoogleDeepMind team at launch. The Gemma team spent a year deep in Reddit and LocalLlama threads collecting feedback. System instructions, function calling, Apache 2.0. All direct responses to what developers asked for. Hear him tell it 👇

Gemma 4 31B. 1451 ELO on @arena. #4 among open models. Preliminary ranking. Above it? GLM 5.1, GLM 5, and Kimi K2.5 thinking. All significantly larger models. At 31B parameters this is the best intelligence per parameter ratio on the open leaderboard right now. https://t.co/84h8iYajAX

NEW: @googlegemma 4 is live on W&B Inference! 31B params. Currently #4 among open models on @arena. Competing with models 20x its size. Apache 2.0. Full breakdown + free inference credits for you to use below 🧵 https://t.co/XRDXnjOjcq

🦔OpenAI is backing an Illinois state bill that would shield AI labs from liability in cases where their models cause mass casualties or large-scale financial disasters, defined as death or serious injury to 100 or more people or at least $1 billion in property damage. The bill would protect frontier AI developers as long as they didn't intentionally cause the harm and have published safety and transparency reports. OpenAI framed its support as promoting consistent national standards over a patchwork of state rules. A poll found 90% of Illinois residents oppose exempting AI companies from liability. Several families of children who died by suicide after developing relationships with ChatGPT have sued OpenAI in the past year. My Take Sam Altman published a 13-page blueprint last week calling for a new social contract to protect people from AI disruption. OpenAI is simultaneously lobbying to cap its own liability if its models contribute to mass casualties. Those two things are happening at the same time and I think it's important to say that plainly. The bill's logic is that AI labs shouldn't be held responsible for harms they didn't intentionally cause, as long as they published the right reports. What that actually means is that deploying a system capable of helping someone cause mass casualties, collecting revenue from it, and then pointing to a PDF on your website is sufficient due diligence. The families suing OpenAI over their children's suicides are already navigating what happens when real harm meets inadequate accountability. This bill would make that fight significantly harder for anyone affected by something far larger. Hedgie🤗

Anthropic believes that good transparency legislation needs to ensure public safety and accountability for the companies developing this powerful technology, not provide a get-out-of-jail-free card against all liability. https://t.co/2qjlUaQ05p

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hermes-lcm v0.2.0 is out! Lossless context management for Hermes Agent — every message persisted, hierarchical DAG summaries, agent tools to drill back into anything that was compacted. No more lossy flat summaries. What's new since launch: - 6 agent tools (grep, describe, expand, expand_query, status, doctor) - Assembly cap guardrails - Session filtering (ignore noisy sessions, mark others read-only) - Separate expansion/summarization paths - CI across Python 3.11-3.13 - Stable source mapping across compaction cycles ~3,200 lines of Python. Zero dependencies. 72 tests. Drop-in plugin — just set context.engine: lcm and go. https://t.co/8GCwp4ZMeB Issues and PRs welcome. Already have community contributors shipping features.

1/ @Tiny_Fish has made the live web significantly more usable for coding agents - a key improvement, since real-world web interaction is often where agent workflows break down and require heavy setup. https://t.co/HvAJz9veyU

🚨Gemma 4 Event, SF Edition!🚨 Join the Gemma team, Unsloth, MLX, Cactus, and other 100 leaders of the open models ecosystem See you there! https://t.co/7OHeueV2Gr

Introducing Gemini Robotics ER 1.6, our new SOTA robotics model 🤖 which excels at visual and spacial reasoning, now available via the Gemini API! https://t.co/orAoslp4Zu

Introducing design previews in Google AI Studio's vibe coding experience 🎨! Now while you wait for an app to be built, Gemini will create custom themes you can easily choose from in seconds. Rolled out and available to everyone right now : ) https://t.co/rYjw2InJcG

Gemma 4 is officially here! 🧑‍🍳🔥 We’re teaming up with @CerebralValley for an exclusive IRL demo night in SF to celebrate. We're bringing ~100 founders & ML engineers together to go under the hood of the Gemmaverse. Expect: ⚡️ Lightning talks from OSS contributors 🧠 Alpha from the Gemma engineering team 🌇 Beautiful sunset views and networking If you're building with open models, come through. 🗓️ Fri, April 17 @ 6 PM 📍 San Francisco Grab your spot 👇 https://t.co/haLt9NlDIW

@Decentralizd84 https://t.co/GiCyqWdT1m

🚨 BREAKING: China's new law on AI anthropomorphism has been officially enacted, and it is the world's STRICTEST law on the topic: As I wrote earlier this year, to my knowledge, no AI law anywhere in the world regulates anthropomorphic AI systems with this level of detail, strictness, and concern for context-specific vulnerabilities and potential risks. Earlier in January, I wrote an article about the law's first draft (link below). The approved version is even more comprehensive, covering liability-related risks as well. Article 10, for example, establishes that providers of anthropomorphic AI must fulfill their security responsibilities throughout the service lifecycle and sets out detailed obligations for each phase of AI development and deployment. Regarding children specifically, among the prohibited anthropomorphic AI practices is generating content for minors that causes them to imitate unsafe behaviors, induces extreme emotions, or leads them to develop bad habits, which may affect their physical and mental health. Despite being a serious topic (which has led to numerous cases of suicide and mental health harm), most countries do NOT regulate AI anthropomorphism comprehensively. An important reason for that is that peer-reviewed studies about AI-powered emotional manipulation and mental health harm only became available recently (as only in the past years have millions of people started to engage in these types of relationships). China's new law is worth taking a look at, and hopefully, other countries, states, and regions will soon follow suit with their own protections against AI anthropomorphism. 👉 Lastly, if you are interested in China's AI policy and regulation, besides joining my newsletter's 93,200+ subscribers, I invite you to join my new Masterclass on the topic (only on June 1st). Links below.

太牛逼了，不知道是赫妹牛逼还是懒猫微服牛逼🤣 全程在微信里面交流和 agent 说话，他帮我下载了排名前 10 的免费音乐到网盘一键直达，根本不需要自己处理文件怎么存？网络怎么打通 🤣下完了后在懒猫网盘就可以看到了，此时打开懒猫音乐，就可以播放了 这体验太哇塞了！以后你想要啥资源，就给自己的小秘书来工作就可以了。 而且你看我这个视频里面，它工作的速度非常快啊，没有卡顿。这就是为什么一定要用 Hermes 赫妹。 买懒猫微服吧，一键帮你把全部工作流打通。以后你给它派活，让它写 PPT、写 PDF、做任何事情都可以啊，主要看你的调教方式稳不稳，哈哈哈哈😄 评论区打1，享受最后的清库存价格

今天丝滑升级到 Hermes Agent 0.9.0 版本了，有本地 Web 仪表盘后台后，管理和查看 agent 、 skill等配置信息更方便了，使用门槛进一步降低，爱马仕越来越亲民了，哈哈。 我本地以下 2 处优化这次都回退了，就直接使用官方功能了 1、Discord 不支持代理问题优化：官方已经修复，并且Hermes 所有 16 个平台都支持统一代理 2、Gateway 平台掉线后自动重启优化：这个问题我会观察下，如果还存在问题我会提个 PR

Introducing Lemma. Your AI agents are failing in ways you can’t see. Lemma is the world’s first reliability platform that finds and fixes these issues fast. https://t.co/xhozcmFyWz

Medical AI models now run on iPhone. No cloud. No API. OpenMed 1.0.0 just shipped. MLX backend for Apple Silicon. Swift package for macOS and iOS. 200+ PII detection models across 8 languages. pip install openmed Open source. Apache 2.0.

Introducing Tegaki, a handwriting animation library for the web. Works with any font or text. https://t.co/hIllUzy7zk

Introducing Tegaki, a handwriting animation library for the web. Works with any font or text. https://t.co/hIllUzy7zk

This may sound like a sponsored post but I promise it's not (I just hate TurboTax and their rent-seeking lobbyists with the passion of a thousand suns): Use FreeTaxUSA instead. It's >90% cheaper than TurboTax and easier to use/higher quality software. https://t.co/YWpT8cpQOy