René's URL Explorer Experiment


Title: Nicholas L. - Slack | LinkedIn

Open Graph Title: Nicholas L. - Slack | LinkedIn

X Title: Nicholas L. - Slack | LinkedIn

Description: Driven to develop innovative solutions, focused and diligent, reliable and focused on… · Experience: Slack · Education: University of Virginia · Location: San Francisco · 500+ connections on LinkedIn. View Nicholas L.’s profile on LinkedIn, a professional community of 1 billion members.

Open Graph Description: Driven to develop innovative solutions, focused and diligent, reliable and focused on… · Experience: Slack · Education: University of Virginia · Location: San Francisco · 500+ connections on LinkedIn. View Nicholas L.’s profile on LinkedIn, a professional community of 1 billion members.

X Description: Driven to develop innovative solutions, focused and diligent, reliable and focused on… · Experience: Slack · Education: University of Virginia · Location: San Francisco · 500+ connections on LinkedIn. View Nicholas L.’s profile on LinkedIn, a professional community of 1 billion members.

Opengraph URL: https://www.linkedin.com/in/nlin10

X: @Linkedin

direct link

Domain: www.linkedin.com


Hey, it has json ld scripts:
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Henry Shi Anthropic • 75K followers https://www.linkedin.com/in/henrythe9th?trk=public_profile_relatedPosts_face-pile-cta
The SF Chronicle just quoted my hot take on the AI bubble. Turns out my wildest prediction was spot-on (down to the exact number). I told them how I meet first-time founders (non researchers) with no revenue, no product, no team, and no deck and yet they are easily raising $5M+ on $25M+ caps for oversubscribed initial rounds. This was impossible 5 years ago. Back then, only proven founders with exits could raise large seed rounds. But now, engineers leaving OpenAI or hot AI startups get $100M+ for their first startup with zero proof of concept. I’ll be the first to claim: “Yes, it's a bubble”, but it may NOT matter because VCs are okay with having 1000 failures if one of them becomes a trillion-dollar company. A decade ago, one 10x exit could justify 10 failures. Then came the decacorns. One could justify 100 failures. Now, in the trillion-dollar era, one winner can justify 1000 failures. And, this is happening in real time. OpenAI is now preparing for an IPO targeting a $1 trillion valuation. They are doing $10B in annualized revenue but lost $12B just last quarter. This proves my point about why investors keep believing despite the exorbitant losses or sky–high valuations. In fact, Sam Altman himself warned that someone would lose a phenomenal amount of money. And the Bank of England and the IMF both warned recently of a market correction. So yes, it’s a bubble. But in the meantime, we’re all living in it and benefiting from the trillion-dollar potential of AI companies and the thousands of overpriced startups that it can support. And my trillion-dollar analogy is playing out right now with OpenAI's IPO plans. What do you think? Will OpenAI be that one massive winner that justifies the 1000 failures, or will this end like the dot-com crash? 150 29 Comments https://www.linkedin.com/posts/henrythe9th_the-sf-chronicle-just-quoted-my-hot-take-activity-7390817480690237440-dZwJ?trk=public_profile_relatedPosts
Aline Lerner interviewing.io • 11K followers https://www.linkedin.com/in/alinelerner?trk=public_profile_relatedPosts_face-pile-cta
Update: Google is going back to in-person onsites for SWE roles in the next 2-3 months. I published a piece a few weeks ago where I summarized AI's effect on eng interview processes after surveying ~50 FAANG interviewers on interviewing.io, and in that piece I said there was no indication that any of the FAANGs were going back to in-person. (Piece linked in the comments.) Then I got this update from one of our interviewers last week. Things change fast. I'll share them as I learn more! 450 45 Comments https://www.linkedin.com/posts/alinelerner_update-google-is-going-back-to-in-person-activity-7383566365573447681--btV?trk=public_profile_relatedPosts
Lewis Won A*STAR - Agency for Science… • 5K followers https://sg.linkedin.com/in/lewis-won?trk=public_profile_relatedPosts_face-pile-cta
Want to train LLM to reason right on your mac? Check out my article on Reinforcement Fine-Tuning LLMs with GRPO on Apple silicon using MLX framework. I remembered vividly when DeepSeek-R1 burst onto the scene this year, it dominated discussions over Chinese reunion dinners, AI stocks crashed, and friends I knew (including me) were busy asking it to reason their Bazi. A key idea introduced along with Deepseek R1 was Group Relative Policy Optimisation (GRPO), which helps to incentivise reasoning capability in LLMs via reinforcement learning. Since then, there have been courses such as Predibase's course on implementing GRPO, and improvements to the algorithm such as Mistral AI's Magistral LLM which was trained on a more efficient GRPO algorithm. Following the course by Predibase hosted on DeepLearning.AI, I have written an article where I explain step by step each component of GRPO equation, with a worked example to illustrate the algorithm. If you have on hand an Apple silicon computer, I have also included a Jupyter notebook which implements GRPO using Apple's MLX framework. Credits to Awni Hannun for creating the base notebook for LoRA Fine-Tuning with MLX LM. Full disclosure that I created the article and the notebook with the assistance of Google Gemini. If you noticed any errors with either the article or the notebook, please let me know or file a pull request. 889 39 Comments https://www.linkedin.com/posts/lewis-won_want-to-train-llm-to-reason-right-on-your-activity-7342230570153742336-foUI?trk=public_profile_relatedPosts
Aashna D. Google • 75K followers https://www.linkedin.com/in/aashnadoshi?trk=public_profile_relatedPosts_face-pile-cta
💸 Ever wondered how software engineering salaries actually break down? In this video, I cover the 4 key components of a typical SWE compensation package: 1. Base 2. Bonus 3. Equity 4. Signing Bonus It’s something I wish I had learned earlier, especially as a new grad. Salary is so much more than just your paycheck. 👉 What else would you want me to cover next? Negotiation tips? Cost of living differences? FAANG vs startups? Drop your questions below, I’ll make a follow-up! :) #TechSalaries #SoftwareEngineering #SalaryTransparency #CareerGrowth #NegotiationTips 503 18 Comments https://www.linkedin.com/posts/aashnadoshi_techsalaries-softwareengineering-salarytransparency-activity-7336749816300892163-C-Su?trk=public_profile_relatedPosts
Dylan Baker The Distributed AI Research… • 2K followers https://www.linkedin.com/in/dylan-k-baker?trk=public_profile_relatedPosts_face-pile-cta
Folks who work around tech ethics of some kind, what advice do you give to students about entering the field? Most people I work closely with had pretty nonlinear paths into this work, myself included. My current answer is usually: if you can't find a job that immediately aligns with your values, do your best with what you have. Read. Organize your workplace. Help people around you with whatever extra money you have. If you can, find ways to support people doing work you admire. The idealist in me wants to tell people (and myself) to focus their long-term career visions on the futures they want to see. Like, what visions of the future inspire you? How can you build your work towards that? Doing this— often via finding people/projects you admire and finding ways to support them— is how most people I know ended up working on stuff they are excited about. But that's not always straightforward in practice! It's easy to get alienating and out-of-touch with that line of thought, too. As one friend put it, "it feels like you're asking me how many swimming pools I want in my mansion when I'm trying to figure out how to make rent". Fair! How does one balance "your idealism and visions for the future are treasures, keep cultivating them" with a groundedness in reality when talking to really new folks in a moment like this? (Or, let's be real, when talking to ourselves?) 90 24 Comments https://www.linkedin.com/posts/dylan-k-baker_folks-who-work-around-tech-ethics-of-some-activity-7356050642823495681-g_Tg?trk=public_profile_relatedPosts
Sita Lakshmi Sangameswaran Google • 4K followers https://ca.linkedin.com/in/sitalakshmi04?trk=public_profile_relatedPosts_face-pile-cta
✨ Feeling refreshed and energized after a vacation, and I'm excited to share 𝘁𝘄𝗼 𝗶𝗻-𝗱𝗲𝗽𝘁𝗵 𝘁𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝘀𝗲𝘀𝘀𝗶𝗼𝗻𝘀 I had the pleasure of recording. If you're building with LLMs and AI agents, these deep-dives are for you. 🤖 𝟭) 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗔𝗗𝗞 & 𝗩𝗲𝗰𝘁𝗼𝗿 𝗦𝗲𝗮𝗿𝗰𝗵 with Kaz Sato 👉 Key Takeaways: How an Agent Development Kit (ADK) works with Vector Search to create sophisticated, production-ready AI systems. 👉 Beyond Basic RAG: We move past simple Q&A to discuss architectural patterns for building powerful semantic search and Retrieval-Augmented Generation (RAG) pipelines. 👉 Practical Implementation: A look at the code and components needed to bring these advanced search agents to life. 🔗 𝗪𝗮𝘁𝗰𝗵 𝗵𝗲𝗿𝗲: https://lnkd.in/gjKvq-MM 📈 𝟮) 𝗠𝗮𝘀𝘁𝗲𝗿𝗶𝗻𝗴 𝗔𝗴𝗲𝗻𝘁𝗢𝗽𝘀 with Dr. Sokratis Kartakis 👉 Key Takeaways: The "Day Two" Problem: Why traditional DevOps and observability tools fall short for monitoring complex, non-deterministic AI agents. 👉 Metrics That Matter: Learn the key metrics for tracking agent performance, cost, and reliability to ensure your agents are effective and efficient. 👉 A Framework for Reliability: Dr. Kartakis shares a practical framework for debugging, evaluating, and continuously improving your agents post-deployment. 🔗 𝗪𝗮𝘁𝗰𝗵 𝗵𝗲𝗿𝗲: https://lnkd.in/gpdC_Jk9 Which topic is more critical for you right now: building new agent capabilities or managing them in production? Let me know in the comments! #AI #GenerativeAI #LLM #VectorSearch #RAG #AgentOps #MLOps 49 3 Comments https://www.linkedin.com/posts/sitalakshmi04_ai-generativeai-llm-activity-7341496336086683650-uE0r?trk=public_profile_relatedPosts
Jackson Scoresby PHX Ventures • 2K followers https://www.linkedin.com/in/jackscoresby?trk=public_profile_relatedPosts_face-pile-cta
Helpful links for the software community in AZ 🌵 PHX FWD "Making PHX a top place for software companies to start, scale, and succeed." PHX FWD hosts community events, workshops, pitch practices, and more to help founders and builders scale enduring software companies. Checkout their website (phxfwd.org) and join the community for great content and upcoming events. Silicon Oasis "Through events, resources, and community-building initiatives, we aim to amplify Arizona’s role in the global tech landscape." Through casual meetups, Silicon Oasis connects founders, investors, and service providers in the tech ecosystem. Freeway "Amplifying and aggregating events and tech jobs within the Phoenix Startup Ecosystem." They put on a tech talent summit a few times each year. This is a great place for founders to find their next (or first) hire and job seekers to meet fast growing startups. Venture Madness "Connects Investors with Arizona's Most Promising Technology Startups". VM puts on an annual pitch competition showcasing some of Arizona's fastest growing startups, drawing in national investor attention and attendance. 𝐀𝐙 𝐍𝐞𝐫𝐝 𝐍𝐞𝐭𝐰𝐨𝐫𝐤 (Don Fotsch) "The more connected our nerds are throughout the state of Arizona, the more we'll be able to SCALE promising Tech/Applied Tech companies across our MANY industries, EVEN FASTER!" Don Fotsch hosts casual events (with pizza 🍕) where AZ Nerds can gather, connect, and build. One of, if not THE, biggest network of technical builders. AIVN - Artificial Intelligence Venture Network "Connecting Arizona's deep tech founders and technologists with advisors, investors, customers, regulators, and media, while positioning the state as an emerging AI powerhouse." AIVN puts on great events for deep tech founders, making meaningful connections to help drive innovation. Would love any other suggestions in the comments! AZ software and tech ecosystem is growing FAST so it can be hard to keep up with everything going on. Hopefully this helps! Don Fotsch, Clate Mask, Becky Winter, Gregg Scoresby, Josue Romero, Kyle Macdonald, Bill Swartz, Karen Katzorke, Daniela Santangelo Stay tuned for these upcoming helpful links: - Pre-seed investors writing checks into AZ - Helpful service providers for new founders - Best software-specific newsletters to subscribe to 65 16 Comments https://www.linkedin.com/posts/jackscoresby_helpful-links-for-the-software-community-activity-7338606245483798530-9LVJ?trk=public_profile_relatedPosts
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