与「Link」相关的搜索结果

🚨 John Kiriakou says Tucker Carlson could ACTUALLY win. And reveals he personally told Tucker: “You have to run… and I’m ALL IN if you do.” Not because Tucker is a politician… But because Americans TRUST him. “He says what he believes - even at significant personal cost.” Kiriakou also reveals: ▪️ Tucker’s family has received threats ▪️ Security is now part of his daily life ▪️ Running could place his family in real danger 📍 EXCLUSIVE: For the first time ever, John Kiriakou gets interviewed LIVE in CYPRUS 🇨🇾 during his May 2026 visit to the island. 🎙️ Full interview link in first reply.

2026 找工作 = 你和算法过招。 简历投 200 份没回音，不是你不行 —— 是 ATS 已经在用 AI 筛你了。 5 类对手已上线：CV 优化 / 实时面试 copilot / LinkedIn 自动 outreach / 一键投递 / 行业 prep。 你的求职 stack 也得是 AI 的。 📚 完整 25 个工具：

We first built Merciv to serve enterprise teams handling complex, fragmented data at scale. Now, we’re bringing that same technology to individuals and emerging brands to help them make better, more confident decisions faster. Identify whitespace opportunities, conduct market research, synthesize reviews, build and talk to user personas, and validate and test ideas. We just moved Merciv’s self serve product into open beta. Link to sign up below.

Founders: We made this way easier today. Claude can now find investors for your startup in under 30 seconds. You can enable it right now by pasting ONE link into Claude. We ran out of spots yesterday, so we just opened another 50 for today. Inside Claude: Settings → Connectors → Add Custom Connector Paste: That’s it. Now Claude can use Super Carl to: • scan 1B+ people profiles • search 50M+ companies • analyze real-time signals • understand your network • and find investors you can actually reach Not random investors. Investors where: • you know someone directly • someone can intro you • they invest in companies like yours • they’re actively deploying • and they’re likely to respond This is the important part: Claude doesn’t just search. It reasons. So you can ask: “Find me the best seed investors for my AI startup that I can realistically reach through my network.” And Claude will rank them by: • fit • reachability • intro paths • and likelihood of response As a founder who has raised venture money for 4 startups… …I genuinely wish I had this years ago. Honestly, this feels like one of those “the future arrived quietly” moments. We ran out yesterday, so we just enabled another 50 people to try it. To test it: Claude → Settings → Connectors → Add Custom Connector Paste: If you connect it, reply with what you asked Claude to find.

Stop testing and rewriting prompts manually! Most teams run evals, look at failures, guess what's wrong, rewrite the prompt, then repeat. It's slow and you never know if your rewrite actually fixes the root issue. The better way is evolutionary optimization. Instead of manual rewrites, you use genetic algorithms to analyze eval feedback and rewrite prompts automatically. The algorithm maintains diverse prompt candidates that excel at different problem types, not just one "best" version. DeepEval does this using GEPA - Genetic Evolution with Pareto Selection. You provide a prompt template, test cases, and metrics to optimize for. The optimizer handles the rest. Here's how it works: It splits your test cases into validation and feedback sets. The validation set scores every prompt fairly. The feedback set provides training signals for mutations. Then it starts evolving. It selects a parent prompt, runs it on a minibatch of test cases, collects metric feedback on what failed, and uses an LLM to rewrite the prompt addressing those issues. If the rewritten prompt scores better, it gets added to the candidate pool. After several iterations, it returns the highest-scoring prompt. Key capabilities: • Works with 50+ built-in metrics - answer relevancy, hallucination, bias, task completion, and more. • Supports multi-objective optimization - optimize for multiple metrics simultaneously without forcing tradeoffs. • Configurable iterations and minibatch sizes - control search thoroughness and compute cost. The best part? It's 100% open source. Link to DeepEval in the comments!

想建立高质量的AI信息流，从这15个账号开始！ 这 15 个账号基本覆盖了： 研究 工程 教育 开源 产品 AGI 思考 AI 真实能力评测 @karpathy 他的推文经常提前定义 LLM 叙事。很多你两个月后在 LinkedIn 上看到的 AI 话题，可能他早就讲过了。 @fchollet Keras 作者，ARC-AGI 提出者。经常分享关于智能、本质能力、Benchmark 和 AI 局限性的深度思考。 @ylecun 深度学习先驱，Meta 首席 AI 科学家。观点很宏观，也经常有对 AI 研究路线的批判和讨论。 @AndrewYNg AI 教育领域的传奇人物。内容非常实用，覆盖机器学习建议、课程、产品落地和真实世界应用。 @rasbt Sebastian Raschka，经常分享实用 ML / LLM 实现、“从零构建”教程，以及相关书籍内容。 @dair_ai 高频更新 ML / AI 论文线程，用通俗方式拆解前沿研究，适合快速跟进 AI 进展。 @lilianweng 前 OpenAI 成员。她的 Lil’Log 风格内容非常值得看，擅长深入拆解 LLM 研究和技术细节。 @jeremyphoward 经常分享 AI / Crypto 相关观点，也长期推动实用深度学习的普及和大众教育。 @simonw Django 联合创始人。聚焦实用 LLM 工具、实验、提示词、Agent 和工程实践拆解。 @_akhaliq 持续整理最新 arXiv 论文、模型发布、开源 AI 项目和研究动态，信息流非常快。 @ID_AA_Carmack 关注 AGI 和底层优化问题，很多观点能让你重新思考“智能”和“工程”的本质。 @gwern 高质量长文作者，擅长 AI 研究笔记、深度 essays 和长期主义视角的技术观察。 @goodside 专注 LLM 评测、提示词研究和真实能力测试，经常能看到非常细的模型行为观察。 @drfeifei 计算机视觉先驱，关注以人为中心的 AI、空间智能和未来 AI 研究方向。 @demishassabis Google DeepMind CEO。长期关注通用 AI 的未来方向，也是理解 DeepMind 路线的重要窗口。 大家还有要补的吗？评论区👇👇👇👇

Hostage diplomacy and exit bans have become key tools of CCP coercion. As President Trump meets with Xi Jinping today in Beijing, securing the release of unjustly detained Americans and U.S.-linked individuals should be a top priority. My latest in @FoxNewsOpinion: