Libre Talent

Even the New York Times, which generally provides rather basic and surface-level coverage of AI, has acknowledged that more jobs are at risk of being replaced by AI – including c-suite executives. This makes complete sense to me. "These employees analyze new markets and discern trends, both tasks a computer could do more efficiently. They spend much of their time communicating with colleagues, a laborious activity that is being automated with voice and image generators. Sometimes they must make difficult decisions — and who is better at being dispassionate than a machine? Finally, these jobs are very well paid, which means the cost savings of eliminating them is considerable." Read the full article for free here: https://lnkd.in/gU5tC8hR

As humans, we naturally prefer to believe that we will always be needed, that we will always add value. I've heard a lot of talk lately about how humans have certain intangible skills that machines can never replicate. And it certainly feels better to believe that, at least. But if you spend some time really learning about the capabilities of #artificialintelligence, you will realize that – except for those of us doing some kind of physical labor, jobs that require motor coordination – we are dispensable. No, we we will not "work alongside" AI forever in some symbiotic human-in-the-loop utopia. We will be replaced, and I think this is probably a good thing. I experimented with LinkedIn's newsletter feature to write down some of my personal thoughts on this topic. #ai #recruiting #wearehorses

It was a pleasure to be interviewed by Business Insider about my experience hiring generative AI talent for startups. The article was published last night, and has some great insights from various leaders in the field (and also me, for some reason ??) — anyone can check it out here: https://lnkd.in/gCEf3iTi Einstellen Talent has become an undisputed leader for generative AI startup hiring — and for unlimited hiring, we charge just a flat monthly fee. If you know anyone who might benefit from our services, please feel free to send me a DM. Also, if you're an AI/ML candidate who wants to get matched with some of the world's most exciting startups in this space, please don't hesitate to reach out as well. I reply to every message — I just appreciate your patience as I work through my InMail inbox :)

I had a candidate do this to me this week, and there's no real way to stop them (there's nothing illegal about it — just somewhat unethical for wasting interviewers' time). Second, I think this is the first time I've made a meme myself. Third, the David Beckham documentary on Netflix was excellent. You should watch it. Happy Friday.

Engineers often ask me what I'd recommend regarding how to land a killer job in generative AI, whether it be at an innovative startup or a big player like OpenAI or Anthropic. This is my consolidated advice: 1. Learn the fundamentals. Dive deep into machine learning, deep learning, transformers, and language models. You need a solid grasp of the core concepts and techniques. Fast.ai, deeplearning.ai and papers like "Attention is All You Need" are great places to start. 2. Get your hands dirty with code. Learn PyTorch or TensorFlow. Start implementing models from scratch. Spin up GPU instances and train language models on datasets. Nothing beats hands-on experience. 3. Immerse yourself in the field. Read every new AI paper you can get your hands on, especially from top labs like OpenAI, DeepMind, Google AI, Meta AI. Stay on top of the cutting-edge and soak in the ideas. 4. Build a portfolio of projects. Implement influential models, try novel approaches, train models on unique datasets. Create a body of tangible, impressive work you can showcase. Open-source it on GitHub. 5. Connect with the community. Follow AI thought leaders on Twitter. Participate in forum discussions. Attend meetups and conferences. Network, learn, and make yourself known. Opportunities arise from relationships. 6. Reach out and apply. Don't wait for job postings - proactively contact labs and companies doing fascinating generative AI work. Share your portfolio. Convey your passion and fresh ideas. Persistence breaks through. 7. Never stop learning and creating. AI moves fast. Yesterday's breakthroughs are today's basics. To stay relevant in this field, you need to continuously evolve, upskill, and push new boundaries. Let your curiosity and creativity drive you. Generative AI is revolutionizing the world. With the right skills, experience, and a healthy dose of grit, you can be a part of building that future. Will it be easy? No. Worth it? Absolutely. Now go make it happen, and let me know if I can help along the way.