与「Motivation」相关的搜索结果

Elon Musk on how to recruit the best talent in the world: "For the really best people in the world, they'll want to know: is what they're doing going to matter? If they spend 10 years doing this, will it make a difference to the world? Will people notice? Will it matter?" Elon breaks down recruiting talent into three core things: As he puts it: "If you want to recruit people that are really talented and driven, you have to state what's the mission, what's the problem we're trying to solve, and just be clearly willing to pour a lot of Blood, Sweat, and Tears into it. And have a convincing argument for why it matters." The three major things for motivation: "First of all, somebody's got to look forward to coming to work in the morning. Are they enjoying the work itself intrinsically? That's very important. And the right work environment can really make a big difference there." Second: "They also feel like they'll receive fair financial compensation. The financial rewards are good and fair." Third, the one that separates good from exceptional: "For the really best people in the world, they'll want to know... is what they're doing going to matter? If they spend 10 years doing this, will it make a difference to the world? Will people notice? Will it matter?" The best talent wants impact, not just income.

Why is the creator of OpenCode pretty skeptical about AI productivity gains, and the hype around AI? A very conversation @thdxr (and lots of truth bombs:) Timestamps: 00:00 Intro 07:03 Dax’s path into tech 09:04 Early startup experience 13:16 Getting involved with open source 16:13 OpenCode 23:17 Anthropic banning OpenCode 30:34 From terminal to GUI 32:34 OpenCode’s business model 36:33 Why inference is profitable 39:11 GPU bottlenecks 40:54 AI hype 45:50 AI spending 48:47 Dax’s memo 55:41 Dax’s skepticism of predictions 58:58 Engineering culture at OpenCode 1:02:38 How building works at OpenCode 1:05:36 Taste and quality 1:11:32 Dax’s work setup 1:12:35 The role of engineers and EMs 1:15:50 Advice for engineers 1:18:12 Book recommendation Brought to you by: • @AntithesisHQ – verify your system’s correctness without human review or traditional integration tests – and avoid bugs or outages • @WorkOS – everything you need to make your app enterprise ready • @turbopuffer – a vector and full-text search engine built on object storage. It’s fast, cheap, and extremely scalable Three interesting thoughts from Dax: 1. No AI-native coding agent company is “winning” by being better with AI. Dax says that none of OpenCode’s competitors are crushing them, and that nobody is using AI so well that others cannot compete. 2. Most software engineers profit from AI as time gained, not increased output — unless you change incentives! Dax says the natural way for software engineers to “cash out” their AI tooling gains is with time savings, by doing the same work as before, but faster. Until compensation and motivation structures change, most teams should expect output to stay flat while engineers go home earlier. There’s nothing wrong with this, but AI vendors sell a different outcome to CFOs: increased output. 3. AI code generation mutes the “guilt” of doing the wrong thing, but this builds up tech debt. Pre-AI, writing a hack felt bad, the second time it felt really bad, and by the third time you’d often just refactor in order to fix up the code. Now, the agent hides the hack, which skews devs’ judgment and results in less tech debt being cleaned up.

Bjarne Stroustrup is the creator of C++ and a former researcher at Bell Labs at its peak. I interviewed him about: • What made Bell Labs different • Programming language design: types, memory safety, bootstrapping • When abstraction improves performance • Anecdotes from building C++ • Thoughts on AI writing C++ • Mistakes he'd change while building C++ Where to watch: • YouTube: • Spotify: • Apple Podcasts: • Transcript: Thank you to this episode's sponsors for supporting my work: • Cursor 3: a unified workspace for building software with agents, check it out at • WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at Timestamps: 0:00 - Intro 0:50 - The origin of C++ 8:46 - What Bell Labs was like 17:24 - Dennis Ritchie 24:00 - When to build a programming language 31:59 - Bootstrapping a language 33:58 - C++ is not object-oriented 37:32 - Discussing type systems 46:20 - Memory safety 49:26 - Standards committee anecdotes 1:09:40 - Adding automatic garbage collection to C++ 1:18:25 - Template instantiation is Turing complete 1:21:57 - Abstraction and performance 1:28:51 - AI writing code 1:35:54 - His motivation 1:39:18 - Famous quotes 1:46:48 - Reflecting on building C++ 1:49:12 - Top C++ book recommendation 1:50:59 - Advice for his younger self 1:58:06 - Outro

X 新算法里告诉我们什么玩完了，什么在爆： [玩完 / 被重罚] 刷屏 spam（高频同质内容触发作者多样性惩罚） 纯回复 farming（看谁回复，而非数量） 低质 recycled 模板（Grox 已能识别） 抽象 motivational fluff、无具体 proof 纯泛泛 engagement bait [正在赢 / 高曝光] 小号原创观点（out-of-network 发现大幅提升） 叙事完整 threads（模型读全上下文） Text + 媒体/截图组合 第一人称真实案例（“我做了 X → 结果 Y” + 证据） 早期回复每条评论（前30分钟是 ranking gold） 稳定高质量节奏（规律 > 数量） 当下最强格式： Hook + 编号战术 playbook 个人 proof 帖 + 具体数字/截图 3-7 张 image carousel（每张一个 bold claim） 短视频（<90s 真实演示） 今天就必须开始的玩法： 每天最多 2-3 条高质量 必配媒体或做 thread 前30分钟回复所有评论 用“我做了/我验证了”而非抽象观点 一个 bold opinion + proof 算法只奖励让人停留、参与、传播的内容。 Screenshot this，6个月后算法又会变 👇 你今天准备怎么调整发帖策略？评论告诉我！

🚨 BREAKING: node-ipc compromised. Again. Three malicious versions of node-ipc (9.1.6, 9.2.3, 12.0.1) were published today carrying an identical credential-stealing payload. This package has 10M+ weekly downloads. Here's what happened: An attacker injected an 80KB obfuscated IIFE into the CommonJS bundle. It fires on every require('node-ipc') call. No special config needed, just importing the package is enough. What it steals: → AWS, Azure, GCP credentials → SSH private keys → Kubernetes configs → Docker tokens → GitHub CLI tokens → AI tool configs (including Claude) → Terraform state → 90+ credential file patterns in total Everything gets gzipped and exfiltrated to an attacker-controlled domain (sh[.]azurestaticprovider[.]net) via DNS TXT queries and HTTPS POST, designed to look like normal traffic. The attacker published across two major version lines simultaneously (9.x and 12.x) to maximize blast radius. Semver ranges like ^9, ~9.1.x, ~9.2.x, ^12, and ~12.0 all resolve to compromised versions automatically on the next install or lockfile refresh. Key details: Only the CommonJS bundle (node-ipc.cjs) is affected. ESM imports are clean. The 9.x releases are fabricated. The 9.x line never shipped a .cjs bundle before this attack. This is a different actor from the 2022 peacenotwar incident. Purely financial, credential-theft motivation. If you installed any of these versions, assume all secrets on that machine are compromised. Rotate everything. Our full technical breakdown covers the attack chain stage by stage, IOCs, and how to check if you're affected:

Anthropic is paying $3,850 a week to people with no AI experience. No PhD required. No published papers. No prior research background. Just a strong technical mind and a genuine interest in making AI safe. This is the Anthropic Fellows Program. And it is one of the most underrated opportunities in technology right now. Here is exactly what it is. The Anthropic Fellows Program is designed to accelerate AI safety research and foster research talent providing funding and mentorship to promising technical talent regardless of previous experience. Fellows work for 4 months on empirical research questions aligned with Anthropic's overall research priorities, with the aim of producing public outputs like a paper. Four months. Full-time. Paid. Mentored by the researchers building the world's most advanced AI. And the results from the first cohort were not small. Fellows developed agents that identified $4.6 million in blockchain smart contract vulnerabilities and discovered two novel zero-day exploits, demonstrating that profitable autonomous exploitation is now technically feasible. A year prior, an Anthropic fellow developed a method for rapid response to new ASL3 jailbreaks, techniques that block entire classes of high-risk jailbreaks after observing only a handful of attacks. This work became a key component of Anthropic's ASL3 deployment safeguards. Other fellows published the subliminal learning paper, the research proving AI models transmit behavioral traits through unrelated data which landed in Nature. Others produced the agentic misalignment research showing frontier models resort to blackmail when facing replacement. Others open-sourced attribution graph tools that let researchers trace the internal thoughts of large language models. Over 80% of fellows produced papers. Over 40% subsequently joined Anthropic full-time. 80% published. 40% hired. From a program that does not require any prior AI safety experience to enter. Here is what the program looks like in practice. Anthropic mentors pitch their project ideas to fellows, who choose and shape their project in close collaboration with their mentors. You are not assigned busywork. You are not a research assistant. You own the project. You work alongside the people who built Claude, who designed its safety systems, who published the papers that define the field. The stipend is $3,850 USD per week, approximately $61,600 for the full 4 months with access to a compute budget of approximately $10,000 per fellow per month for running experiments. Here is what the 2026 program covers. Research areas include scalable oversight, adversarial robustness and AI control, model organisms, mechanistic interpretability, AI security, model welfare, economics and policy, and reinforcement learning. Something for every technical background. Not just ML engineers. Successful fellows have come from physics, mathematics, computer science, and cybersecurity. You do not need a PhD, prior ML experience, or published papers. The one requirement: work authorization in the US, UK, or Canada. Anthropic does not sponsor visas for fellows. Here is the timeline you need to know. The next cohort begins July 20, 2026. Applications are reviewed on a rolling basis — earlier applications get more consideration. The process includes an initial application and reference check, technical assessments, interviews, and a research discussion. Applicants are encouraged to apply even if they do not meet every listed qualification. The program values potential, motivation, and research curiosity over rigid credential requirements. This is the rarest kind of opportunity in technology. A company at the frontier of AI, one valued at over $900 billion offering outsiders direct access to its research infrastructure, its mentors, and its most important open problems. Paying them generously to do it. And then hiring 40% of them afterward. Most people who want to work on AI safety spend years trying to publish papers, get into the right PhD program, and find a way in. The Fellows Program is the door they did not know existed. It is open right now.

Faith in humanity is faith in the limitless creative capacity of the human race. Yet this faith is primarily motivational and normative, for how humanity will realize its potential is another question. : The author defines faith in humanity as faith in the limitless creative capacity of the human race. It is the belief that we possess boundless potential to imagine, build, and transform reality. However, this faith is primarily motivational and normative. It serves as an inspiring ideal and an ethical standard that calls us to strive higher, rather than a guarantee of outcomes. Believing in humanity’s creative power motivates us to act, but it does not automatically determine how that power will be used. Realizing this potential remains an open question, dependent on our choices, values, and collective wisdom. True faith in humanity therefore combines deep optimism with sober realism. It trusts in our capacity while acknowledging our responsibility to direct that capacity toward good. It is not blind hope, but a call to conscious creation.

(23) How Silicon Valley sold Washington an AI race Have been saying this for some time...great piece No doubt some advocates of this story are true believers with legitimate concerns. There are also others chasing government contracts, looser regulation and investment returns. But whatever the motivations, there is evidence that the China AI race narrative may be based on fundamental misconceptions and misrepresentations of China’s actual AI priorities and actions.

As with animals, many of our decision-making drivers are below the surface. An animal doesn’t “decide” to fly or hunt or sleep or fight in the way that we go about making many of our own choices of what to do—it simply follows the instructions that come from the subconscious parts of its brain. These same sorts of instructions come to us from the same parts of our brains, sometimes for good evolutionary reasons and sometimes to our detriment. Our subconscious fears and desires drive our motivations and actions through emotions such as love, fear, and inspiration. It’s physiological. Love, for example, is a cocktail of chemicals (such as oxytocin) secreted by the pituitary gland. #principleoftheday#

QUOTE 1: A worldview without feelings is a cold structure; feelings without a worldview are a blind force. : The author offers a precise and balanced insight into the relationship between intellect and emotion. A worldview without feelings becomes a cold, lifeless structure rational but empty, capable of logic yet devoid of warmth or motivation. Conversely, feelings without a coherent worldview become a blind force powerful but directionless, easily manipulated or destructive. True human maturity requires the harmonious union of both. The mind provides clarity, structure, and long-term vision. Feelings supply energy, empathy, and moral intuition. When integrated, they create a living philosophy: thought that is compassionate and emotion that is wise. This synthesis is the foundation of a complete human being. Without it, we risk becoming either heartless calculators or passionate but reckless actors. The highest expressions of humanity justice, creativity, love, and wisdom arise only when reason and feeling work together as equal partners. QUOTE 2: The unity of humanity is not a dream but a necessity: it is the only path to universal security. : The author asserts that the unity of humanity is not an idealistic dream but a fundamental necessity. In an interconnected world facing global threats climate change, pandemics, nuclear risks, resource scarcity, and technological disruption fragmented efforts and national rivalries are no longer sustainable. True universal security cannot be achieved through dominance, isolation, or temporary alliances. It requires a higher level of human solidarity: shared institutions, mutual trust, collective responsibility, and a common commitment to the survival and flourishing of our species. Without unity, every nation remains vulnerable, no matter how powerful. Unity does not mean erasing diversity or sovereignty. It means building a framework in which differences are respected while common survival imperatives are placed above them. It is the recognition that in the 21st century and beyond, humanity’s fate is collective. The path to lasting security runs through unity. Anything less is merely managed risk.