oy1a8xfc @ebitdaddd

Joined April 2020

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275
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73
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896
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Damnang @damnang2

5 days ago

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C J @gch_enbsbxbs

a week ago

牛逼。。。全给蒸馏了。打开看了下包含了我以前发的预测 LP 套利 pendle vibecoding 等所有内容了。

梭哈.AI @SUOHA_AI

a week ago

套利/LP入门学习资料！想知道高手怎么玩LP? 我用 Codex 加 X的API，把资深的套利高手CJ老师 @gch_enbsbxbs 的推文全部扒了下来，精选了502篇实战推文，梳理成一套清晰的逻辑体系，做成一个免费开放的在线学习网站，供大家学习你可以直接在线快速看，也可以把全量数据一键下载后直接喂给自己的 AI

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Jorgect.eth @TamayoNft

8 months ago

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Damnang @damnang2

3 weeks ago

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Jukan @jukan05

3 weeks ago

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我一直建议，想真正学大模型的人，最好自己本地部署一次。这是给大模型祛魅最快的方法。平时我们在网页里用 ChatGPT、Claude，很容易产生一种错觉：后面好像藏着一个会思考、会记忆、会使用工具的“智慧大脑”。但你真把一个模型下载下来，用 vLLM 甚至ollama跑起来，再自己接 API、调上下文、设并发、看显存、搞量化、接工具调用，很多东西一下就明白了。你会发现，大模型所谓的“记忆”，其实就是每次对话把前面的上下文重新塞进去；所谓工具调用，是它按格式吐出一段内容，再由外面的程序真正执行；所谓并发，本质上也是 batch、KV Cache、显存和调度这些工程问题。再往下，你会开始知道一个模型有多少参数，权重文件是怎么回事，BF16、FP8、量化到底在干什么，一次请求从输入到输出，中间究竟发生了什么。一切帽子下的神秘一览无余。这些东西看十篇文章，都不如自己部署一次来得直接。等真正折腾完以后，大模型还是很强，但那种神秘感没了。你会知道并不是服务器里住着一个“小人”。它就是一个极其庞大、极其复杂的输入输出函数。只是复杂到这个程度以后，居然让人觉得它在思考了。

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degentrading @degentradingLSD

a month ago

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sunlc.ai @sunlc_crypto

a month ago

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Vikram Singh @vikramcantsingh

2 months ago

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Sirius @rollingSirius

2 months ago

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jessy huang @goodhartproof

4 months ago

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BasedBiohacker @BasedBiohacker

8 months ago

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0xWizard @0xcryptowizard

4 months ago

0基础学习 AI 投资 🧵 AI 是当前最热的主题：美股头部 hyperscaler，一半以上现金流投入 capex；从 GPU 到 HBM，再到光互连，每个环节，轮流暴涨。 x上噪音 > 信号, 看了也不知如何下手。我整理了一份系统学习 ai 投资的免费教程: wizzai101.com 🇨🇳 wizzai101.com/en/ 🌍 1/n

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Anatoli Kopadze @AnatoliKopadze

4 months ago

instead of watching 2 hours of Netflix tonight, watch this Stanford lecture it's the clearest explanation I've seen of how ChatGPT and Claude actually work useful whether you've never touched AI in your life or have been using it every day for the past year I took the key ideas and turned them into a practical guide on how to actually get 100% out of Claude find it below

Anatoli Kopadze @AnatoliKopadze

4 months ago

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Superior @andreysuperior

4 months ago

Most people see a street. He sees $300-600 per block. A 24-year-old from Chengdu figured out that every hotel, every apartment, every commercial space within walking distance is an untapped asset. One nobody has packaged yet. He straps a rig to his back, walks in, spends twenty minutes scanning the space, and leaves with a file that lets anyone on earth stand inside that room from their couch. The client pastes a link on their booking page. Guests tour the property before they arrive. Cancellations drop. Reviews go up. He gets paid $400 for the scan. $99 every month for hosting. The technology: 3D Gaussian Splatting. Free on GitHub since 2023. The app: Luma AI. Also free. The page he delivers: built by Claude in ten minutes. Total tool cost: $20/month. Month one: $3,500. Month six: $18,000. The streets haven't changed. He just started charging for them.

Superior @andreysuperior

4 months ago

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Jaya Gupta @JayaGup10

4 months ago

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timbidefi @timbidefi

5 months ago

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Corey Ganim @coreyganim

6 months ago

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binji @binji_x

5 months ago

some human things I’m tracking > religious schools, retreats, pilgrimages, and faith-based media rising as people search for moral certainty > “human-only” spaces: restaurants, schools, clubs, apps, and retreats that ban synthetic media, recording, phones etc > pet daycares, dog hotels, pet insurance, and premium pet food begging to skyrocket as loneliness increases and people defer to furry friends > post-career identity markets: people living longer and needing new titles, tribes, rituals, status games, and reasons to wake up after professional relevance fades > private members’ clubs solidify as paid social graphs for adults who lost community to remote work > dating apps fragmenting into belief-based and lifestyle-based matchmaking since infinite choice has become exhausting > family formation will become a premium service category: matchmaking, fertility, childcare, coaching, home design etc > eldercare will start shifting to more at-home treatments due to ai (over time it’ll be cheaper than care homes too) > analog cameras, vinyl, printed books, notebooks, “dumbphones,”and mechanical watches grow as anti-synthetic status objects > handmade goods becoming trust objects because machine abundance makes human effort valuable again > live events becoming more valuable as recorded media becomes forgettable > glp-1s are just the first mass consumer drug for editing desire, more to come. > fertility tech booming because career timelines and biological timelines are now in open conflict > oral exams, apprenticeships, portfolios, and live demonstrations returning because written work is becoming cheap to fake > digital detox products growing > air quality, water filtration, food sourcing, and sleep environments becoming mainstream status markers > luxury shifting from owning more things to accessing peace, beauty, privacy, time, and high-trust rooms > the biggest consumer opportunities coming from psychological scarcity: belonging, certainty, attention, embodiment, trust, and continuity