✨ JP Posma

"Have you ever thought about how you're not using your bed for two thirds of the day? Enter Napster 2.0: A platform where you can rent out your bed for micro-naps when you're not using it! Also we use generative AI."

11

We are quickly entering the "trough of disillusionment" in the hype cycle for generative AI. While GPTs excel in automating certain tasks (and can even automate away large portions of some jobs) they often fall short in others. Like all new technology, the issue lies in misapplying generative AI for tasks it wasn't designed for. This is a problem compounded by the GPTs themselves suggesting they can handle these tasks (often cheerfully!). This misalignment creates frustration and unmet expectations which we're starting to see more of these days. As the dust settles I firmly believe we'll recognize GPTs as a transformative technology across many industries. However it's crucial to understand their limitations and apply them appropriately. What are your thoughts on the current state of generative AI and its future applications?

2

Unique role in a unique company! *Board Chair position* for one of the leading teams in generative machine learning committed to designing proteins - https://www.dreamfold.ai/ If that's you or someone you know - please reach out! About the Company: * DreamFold’s mission is to find treatments for severe, life-threatening diseases.  * DreamFold originated from the labs of renowned AI experts Yoshua Bengio (Turing Award winner) and Michael Bronstein (co-founder & DeepMind professor at Oxford).  * DreamFold has established a strong publication record: FoldFlow and  FoldFlow-2 are state-of-the-art models for protein structure design.  * With initial funding from top-tier deep tech investors, DreamFold is now preparing for a funding round it aims to close in Q3 2025. Objective: Work closely with the founding team and investors to help position DreamFold as a leading company in generative protein design. Bring expertise, insight, and capabilities to build a biotech company with an innovative modality and platform. Year 1: Prepare DreamFold for fundraising by supporting the CEO and team in fine-tuning the value proposition.  Year 2: Complete the Series A funding round to help scale DreamFold and establish two or more significant partnerships. In addition to the usual responsibilities of a Chair of the Board, the candidate will:  * Work with the founding team and investors to establish and articulate a clear, investable vision, strategic roadmap, and plan for sustainable growth.  * Take a leading role in promoting DreamFold’s assets, people, and technologies to the stakeholder community (e.g., biopharma, investors).  * Help develop the skills and competency base by mentoring and recruiting the initial advisory board. Attributes: The founding DreamFold team and investors are ambitious and strongly believe they can contribute to developing new treatments. Chair candidates should possess the following attributes:  * Ideally, the candidate has been a founder of a biotech company that scaled through multiple rounds of funding and deployed innovative technologies in biologics or novel advanced modalities to the clinic.  * Has personally led a company through value-enhancing milestones and returned value to shareholders through a meaningful liquidity event.  * Enthusiastic about the potential of generative algorithms in protein/drug design and willing to collaborate closely with the technical team.  * Able to commit to one day a week initially. #ai #genai #board #recruiting #biotech #pharma

13

1 Comment

A company’s product/technology org being called “EPD”, “PED” or some other acronym standing for "product, engineering, design" is a strong smell that the company is a political mess. If that org is called "R&D," it's a smell that means the company is run by finance/MBA people. Why finance, btw? "R&D" (research & development) is a legacy term — certain payroll/etc costs are tax deductible, based in the old-school manufacturing mindset that "product development" was just an investment or cost center, and not revenue-generating as it is in software.

1

3 Comments

Looking for a contract project (10 hours/week) where I'd love to help you go from 0 to 1 with an LLM-powered product or feature quickly. A bit about me: - Launched https://jakeai.org/ and went from idea to first revenue in 2 weeks. - Built two bootstrapped startups that generated a total of $200K in revenue. The first one was an AI analyst for business angels. The second one was a hilarious chatbot psychologist, Josef Freudman. - ex LLM-product builder at Reface🇺🇦, a16z-backed gen AI company. What I can help with: - Taking LLM-powered products from 0 to 1 fast - literally taking an idea and validating/iterating it. - Validating and implementing an LLM-powered feature in your product. Who I can help the most: - Startups that want to launch and get their first customers. - Startups and companies exploring the launch of a new product or feature. If this sounds like something that could help you out, feel free to message me here on LinkedIn or by email: [email protected]

29

This is just incredible. Neal Ghosh's demonstration of how #VentureIQ takes deeply technical and complicated content across a range of industrial use cases and ages/stages through an AI-generated conversational podcast (a la #notebookLM) is really mind-blowing. Check out his post, below, and if you haven't seen VentureIQ, yet, let's get you set up to learn more. You can visit VentureIQ.ai or DM any of us over here to book a demo!

2

AI memory is fundamental for conversational AI and AI agents. It is critical for building personalized experiences and improving reasoning. Check out Letta’s course to understand how to use AI memory to enhance the customization and quality of your AI app.

15

Having worked at Cruise and Waymo on self-driving taught me many things. I hope to bring some of these learnings to healthcare so it too can soon have the magical, "no-driver-at-the-wheel" moment. Here's a short conversation I had with Louie Cai, MD on this topic!

16

1 Comment

Alphabet committed another $5 billion recently to Waymo's self-driving cars. A renewed vow of confidence. Per my post yesterday, fast growing additional compute and better AI architectures are changing self driving cars rapidly. Notably, some traditional car manufacturers pulled out investments in full self-driving cars. It didn't think the tech was going to be ready for decades to come, if ever. I think it may be a mistake given AI and compute grow exponentially, not linearly. As an example, it may take 20-40 years to achieve 1% of progress, then just 5-10 years for the remaining 99% (instead of 1,000s of years per our intuition) link in comments #AI #Transformers #waymo

2

1 Comment

Over the past few months at Assembled, we've been exploring how Large Language Models (LLMs) can enhance our engineering workflows. One area where they've made a significant impact is in writing comprehensive tests. Traditionally, writing thorough tests can be time consuming and sometimes gets sidelined due to tight deadlines. By leveraging LLMs, we've been able to generate robust tests much more quickly—tasks that used to take hours now take just minutes. This shift has brought: - Increased adoption of testing: Engineers who previously wrote fewer tests are now consistently incorporating them into their workflow. - Time savings: We've collectively saved hundreds of hours, allowing us to focus more on developing new features and refining existing ones. - Enhanced code quality: Our codebase is better tested, giving us greater confidence in our deployments. I've shared more about our approach, including examples and lessons learned, in a recent blog post. 👉 Read more here: https://lnkd.in/gKw3djQu We're excited about the progress we're making and the insights we've gained. If you're interested in the intersection of LLMs and software engineering, or if you're passionate about building tools that transform customer support, I'd love to connect. P.S. We're hiring! Check out our open roles: https://lnkd.in/gSr_wqV7

74

3 Comments

💡 Why do we need so many evaluation tools for LLMs? As engineers, we build 'production-ready' LLM products using these metrics. But what happens next? How do we maintain control and ensure reliability? At Feedback Intelligence, we’ve crafted a cookbook to keep your LLMs reliable and aligned with user expectations. 🍲 📖 Give it a read and let’s chat!

16

Chat with Miles Clements about building Linear For me companies are like design problems: you have context, constraints & goals unique to you. Then you look for a solution that has a good fit to your unique problems. The company problem also evolve over times the solution Directly applying what others have done doesn’t work that well, yet there is lot emphasis on playbooks, pattern matching and playing copying what other companies are doing in industry. https://lnkd.in/ghxjJwYU

84

The funding landscape for founders has been tough over the past two years—but for female founders, it's been even tougher. At Fierce Foundry, we're stepping up to change that. Like the trailblazing organizations How Women Invest and WE Global Studios, we’re fueling the flywheel of female investment. Our innovative approach isn’t just about making noise—it’s about making measurable impact. Join me at my info session today (and every other week - register via the link below) to learn how you can help drive meaningful change for female founders. Let’s make it happen! 🌟 https://lnkd.in/e9FUg9Uj

9

Strong Opinions Weakly Held #3: Me in 2017: Just make the investment to do it right the first time - save the headache and cost of all the rework! Me in 2021: Just get something out there for people to use. Something is better than nothing. Me in 2024: Typical engineer answer comes back again - it depends. Something is not always better than nothing. It can damage your brand and your standing in customers' eyes and it may be hard to get them to give you a second shot - not everyone understands the idea of "beta stage" and "MVP". But conversely, I've seen far too many projects toil and churn on "Can we actually release this yet? It doesn't have feature X Y Z." DON'T DO THAT. You don't know what customers want until they tell you. Often, they can't tell you until they get some piece of your direction in their minds. The goal is an MVP: Minimal viable product. The problem is: what constitutes minimal? what constitutes viable? and to an extent, what constitutes product? PS: If you want to learn more, come to my #STLStartupWeek talk, "How Not To Build Your MVP: An Engineer's Advice for Non-Technical Founders". Register here:

8

The 10x engineer is REAL. We've all heard of the elusive and divisive "10x engineer" – a legend in tech circles, rarely spotted in the wild (or in our virtual Gather office), able to do a herculean amount of work compared to everyone else. But as Gergely Orosz aptly notes (https://lnkd.in/dQdDFUwx), the "10x" label can mask less than ideal traits: 🚩 Rapidly producing low-quality code 🚩 Chasing only shiny projects, leaving when the novelty fades 🚩 Taking credit at the expense of team contributions These aren't 10x engineers. The truly exceptional engineers I've met share a common trait: focus on impact. It's not about output, it's about outcomes. At Koala, we believe in "hiring for slope" – a principle my co-founder Tido Carriero often talks about. We're not just looking for 10x achievements, we're looking for engineers who are: 🔹 hungry to learn and grow  🔹 driven to create meaningful impact 🔹 focused on solving real customer pains If this resonates… then we'd love to chat. We're currently hiring engineers across the US and Brazil (https://lnkd.in/eUpECNZj) #hiring #recruiting #engineering

24

5 Comments

“... native solutions built entirely around vectors will provide the ‘speed, memory safety, and scale’ needed as vector data explodes.”  “... we do advanced vector search in the best way possible.” At Epsilla (YC S23), we share the same vision and approach. Thus we have been leading the charge with our unique innovations in a 10x faster, cheaper, and better vector search engine, as the built-in foundation for our no-code RAG as a Service Platform. You can experience the accuracy and relevancy from our advanced technologies via a number of high quality AI-powered smart search and chatbot applications below: 1. Smart Search on 180+ RAG Research Papers (https://lnkd.in/eMPdVae5): This smart search app leverages our RAG platform and vector database technology to help user navigate through the massive 180+ papers with ease and keep up with the latest and greatest advanced research on this important topic. . 2. AI Assistant Chatbot for Knowledge Graphs (https://lnkd.in/eeBTFe_Q): Inspired by insights from Mike Dillinger's posts, this AI assistant chatbot leverages our RAG platform and vector database technology to generate highly relevant, nuanced and contextually aware responses to help user stay ahead of the game on topics like LLM, knowledge graph, and GenAI. 3. AI Assistant Chatbot for Taylor Swift (https://lnkd.in/e_m6dB4P): Powered by our RAG platform and vector database technology, this interactive AI-powered chatbot can answer any questions about Taylor Swift, one of the most impactful artists and successful business women in the world. These high quality AI applications underscore the fact that  Epsilla's vector database technology is not just keeping up with the demands of generative AI, but also setting new standards for what is possible. In addition, our no-code RAG platform allows AI app builders to develop and deploy high quality apps like these within hours. Join us as we continue to innovate and lead in this exciting era of AI-driven applications! (https://epsilla.com) #VectorDatabase #RAG #Chatbots #GenerativeAI #NoCodePlatforms

31

8 Comments

As someone who’s wired this way: In conversation, some engineers, myself included, appreciate being interrupted for the sake of clarity. I certainly appreciate efficient knowledge transfer, constant feedback. Active listening. Many or even most conversations are not comfortable in this style though. In these cases I do the opposite. I commit 100% to following someone else’s train of thought. This is all that I care about. It’s still obsession on being correct, but only in understanding their thought process. Not on objective truth and fact. Let your imagination have fun - try on someone else’s goggles.

6

Favorite quotables from the Humanloop launch event: ➡️ On engineers’ approach to LLMs: “You hit the API and got a response. Ok great- that doesn’t mean the output is valid or good!" 🫠 -Brianna Connelly ➡️ On prompting: “Non technical people are driving 100% of the best prompting” 😯 -Brianna Connelly ➡️ On being an effective AI Engineer: “You have to upskill and become an engineer/data scientist hybrid to succeed” 📝 -Noam Rubin ➡️ On vibing your way to a half baked AI feature: “LLMs are almost too easy to use!” ✨ -Noam Rubin P.S. Sign of a high value tech event: Diet Coke runs out way before beer. Can't wait to try HumanLoop evals and congrats on the launch Raza Habib Jordan Burgess Andrei Bratu Harry X. 🚀

28

3 Comments