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大厂的AI商战真是朴实无华，就是猛猛砸钱找专家，猛猛做数据标注。。。字节的Xpert，10月份有一个人领了18万。。。 AI时代，只要你有任何特长，只靠贡献自己的知识和努力，也能活得很滋润： ⓵专业问答与评测 -专业领域问答（医疗、法律、金融、STEM等） -模型回复打分与对比评测 -Benchmark出题与标准答案设计 ⓶聊天 / 对话相关 -多轮对话评估：对模型在聊天中的回复打分、排序、指出问题（准确性、自然度、逻辑、人设一致性等） -对话生成 / 改写：写或优化多轮对话数据，用于训练聊天机器人 -偏好排序（RLHF）：同一问题给出多个回复，选出更好的那个并写理由 -角色扮演 / 人设对话：按指定角色（医生、律师、客服、特定性格等）进行对话评测或数据生产 -对话纠错：找出聊天回复中的事实错误、逻辑漏洞、不当内容 ⓷内容生产类 -高质量专业内容撰写（案例库、知识库、语料） -复杂指令设计（多约束、高难度Prompt） -参考答案撰写 -专业内容改写与优化 ⓸代码 / 技术类 -代码生成评估 -Agentic Coding / 长程任务评测 -Bug查找与代码审查 -编程题出题与判题标准制定 ⓹语音 / 多模态类 -方言语音采集与标注 -语音转写质检 -视频/3D/动捕数据相关 -多模态内容评估 ⓺审核与质检类 -模型输出合规性审核（医疗、法律、金融强合规场景） -知识准确性审核 -已有标注数据的二次质检 ⓻其他 -访谈类任务 -数据采集（按脚本录制真实场景） -创意内容评估（影视、文学、设计美学等） 上面这些任务，简单到只要愿意花时间聊天，时薪也在三位数。更专业一些的比如生物、法律、金融、制造，就更加赚钱了。 可以参与的平台： 1、腾讯旗下的ExpertHub： 2、字节旗下的Xpert： 3、阿里的晓天睿士：

What Menlo has done over the last 24 months is exceptional. Yes, they did Anthropic’s round at $4BN that will make them $50BN+ as a firm. NICE! But they then took that and went f****** hard. They do Lovable, Higgsfield, Legora. They compounded the brand win of Anthropic to cement their position from respectfully a slightly ageing firm to being a dominant venture leader at the forefront with Thrive, a16z, Benchmark etc. It is incredible to see and I sat down with @venkyganesan to shoot the s*** on this. 1. Every Seed Investment Is an Option Bet Seed-stage deals function as financial options to discover true outlier potential before committing major capital. VCs must construct a broad enough portfolio to secure sufficient at-bats, only sizing up their position when quantifiable, revenue-based metrics prove an outlier has emerged. 2. What Is the First Sign of the AI Wave Cracking? Market cycles rarely collapse due to equity write-downs. They fracture when levered debt defaults occur. When market participants take on heavy leverage during an AI boom, precise timing becomes as critical as being directionally correct, making debt obligations the primary failure vector when cycles turn. 3. Why Every VC Must Now Prioritize IRR Every startup in the current landscape writes a structural tax to the Mag 7 and hyperscalers for compute and foundation models. Because LPs can buy index exposure to those same public tech giants without fees or carry, private VCs must generate outsized IRR performance, beating public markets by at least 1,000 basis points, to justify private capital allocation. 4. Why LPs Wanting Smaller Funds and Slower Deployment Is BS LPs cannot demand both smaller fund sizes and multi-year deployment paces in the middle of a generational platform shift. Because AI startups face immense capital requirements to scale compute, VC firms that refuse to deploy capital rapidly will watch competitors step in and capture the category winners. 5. The Theory of Reflexivity and How It's Causing Markups Reflexivity creates self-reinforcing loops where fast revenue growth triggers rapid valuation markups, attracting elite human and financial capital that further accelerates growth. However, when copycat investors chase markups for momentum rather than underlying fundamentals, reflexive valuation bubbles inflate until market realities force an inevitable correction. 6. Sometimes You Pay Up Because You Have Unique Insight Premium entry prices are not always the result of irrational bidding. They often stem from an investor's ability to recognize a fundamentally larger total addressable market than the consensus. When a VC possesses unique conviction around an expanding market opportunity, paying above current rates reflects calculated foresight rather than price-taking behavior. 7. There's No Limit to What a Person Can Do as Long as They Don't Care Who Gets the Credit Personal ego remains one of the most expensive liabilities in venture capital and company building. True long-term success requires setting aside individual notoriety, focusing ruthlessly on generating LP returns, and empowering teammates and founders without worrying about who receives the public credit. (links in comments)

The @WNBA and @statefarm tipped off WNBA All-Star Weekend by unveiling a renovated wellness room at William H. Brown STEM Magnet School, engaging local youth in a basketball clinic and yoga session.

As part of the NBA Cares State Farm Assist Tracker Program, the @NBA, @StateFarm and @HeartofAmericaF unveiled a new STEM Lab at Roberta C. Cartwright Elementary and a new outdoor mini-court at Roger Gehring Elementary. Milwaukee @Bucks guard Ryan Rollins and NBA Legend Danilo Gallinari joined students to celebrate these new spaces for learning and play!

As part of our commitment to inspiring the next generation of STEM leaders through motorsport, we delivered an immersive day of hands-on learning at Silverstone this weekend, in collaboration with our partners @AstonMartinF1 @F1 @STEMRacingHQ

纳瓦尔如何看待未来中美 AI 竞争？ 1. AI 竞争是「美国的中国人 vs 中国的中国人」 今天 AI 领域大多数学家和研究员是华人，中国的 STEM 毕业生、博士、奥赛冠军数量都全球第一，而美国实验室里也都是华人。 2. 大模型迟早会开源，软件护城河消失 模型蒸馏挡不住，算法会扩散，权重会泄露。 3. 软件被 AI 吃掉，硬件被中国锁死 深圳华强北 3000 家厂商，任何硬件都能更便宜更快地造出来，未来十年没人能在硬件上赢过中国！

Throwing it back to NBA Draft week 🌟🔙 🏀 @jrnba basketball clinic with off-court learning activities 🍎 Farmers market with free groceries and health resources 📚 Opening of renovated STEM Lab at the High School of Arts & Technology

Cameron Boozer, Nate Ament and Darius Acuff Jr. joined @StateFarm and @HeartofAmericaF to help open a brand-new STEM lab at the High School of Arts & Technology in NYC! 🚀🏀 From celebrating the renovated space to engaging with students through hands-on activities, the day was all about empowering the next generation of innovators.📚🔬

In a sane world, governments exist to improve the lives of people (at a minimum). The worst incidents of my life all stem from the provincial and federal governments repeatedly punishing me financially for being successful in ways that make you feel trapped in a Kafkaesque prison of despair. I realize that many Canadians benefit from the system, and hence will exhibit zero empathy but in a just world, this reality should not be tolerated. It can't be that a government owns 65%+ of all of your worth once all taxes are added up. Send me good vibes. Going through a very difficult time.