Foundation Capital was founded in 1995. As an early-stage venture capital firm, our enterprise, fintech, and crypto investments have reinvented industries and defined new markets.
For over a quarter of a century-through boom and bust, prosperity or calamity-Foundation Capital has endured, evolved, and thrived, with over $3B assets under management, 34 IPOs and ICOs, and 80+ acquisitions to our name.
My top takeaways: Leading banks that are successful in AI adoption are doing so by: Building a strong talent stack. Focusing on innovation in AI use cases. Prioritizing customer engagement through personalized services and AI-driven automation. Empowering employees with opportunities to lead AI innovation, which enhances both revenue and employee ROI. Banks that are not leading in AI implementation are facing: Disorganized decision-making and inefficiency in prioritizing AI use cases. A weak AI talent pool, making it harder to adopt cutting-edge technologies. Lagging financial performance compared to AI leaders. Difficulty managing Generative AI complexity and responsible AI use. Missed opportunities for innovation, particularly in areas like synthetic data and AI-driven product development. As a result, these banks risk losing competitive advantage, customer satisfaction, and profitability over time. Note: They are also avoiding ChatGPT 4 because the costs would bankrupt them. But they are looking for profitable alternatives in GenAI or AI solutions. Thanks for sharing your insights Alexandra.
Your multi-agent AI projects will benefit from SmythOS's robust AI agent platform. It's a fantastic option for anyone trying to improve their AI products.
I'm curious to hear about what is the best approach to build multi-agents workflows in AutoGen. In particular, do you: - set up and debug every single agent, and then put them together in a group chat - or rather start building within the group chat already?
How do I know if Foudation Capital has another office in New York? I recently suffered a scam from a guy called Alex Madsen, from this company, I participated in some cryptocurrency transactions in the WhatsApp group where he provides the signals. After I requested the withdrawal, the company charged me an advance commission of 50 thousand dollars. Someone from this company explained to me if this really is green?
I am still learning all of this, but it seems to me that the best approach is to start with multiple agents. Each agent should perform a very specific task exceptionally well and log everything. By doing so, you can build large datasets on how each agent operates and fine-tune them accordingly. Over time, you can potentially combine agents to improve efficiency. Initially, however, it is important to observe how they handle specific tasks. I could be wrong, but it appears that if you can precisely define what the LLM is doing, you can prevent hallucinations. This approach might involve higher upfront costs, but in the long term, it could lead to faster progress, as you wouldn't be trying to solve problems with agents that are stretched too thin. The advantage here is that, unlike starting a company where having too many employees significantly increases costs, using multiple agents does not lead to a substantial cost increase. While compute costs money, it is not as expensive as hiring additional human employees.
// I could be wrong, but it appears that if you can precisely define what the LLM is doing, you can prevent hallucinations. You are right in some way. You have to remember that the AI is dumb, so it only does what you tell it to do - Hence "crap in, crap out". The more specific your prompt is the better the output would get. There is alot of tips around, like giving them more context etc. Also, you could specific control the level of hallunications by a value from 0 - 1. If I where to build instructive agents I would have them at a low temperature level of hallunication, but if I where to build some storytellers for marketing I would allow a high level of hallunication.
Asa Ph.D myself, I'd have loved to work in product management at Samsara if only I watched Dr. Biswas talk about his company. Truly amazing person and company!!
This is the most phenomenal founder sharing great insights and exuding humility in every way possible. A must see for every person that wants to start their own technology business.
Please someone answer my question. I am currently part of a Watshap group for cryptographic transactions, from this company Fundation Capital. Where Alex Madsen and secretary Jennifer Lawrence share business signs with all group members. I already have over 1 million dollars on the Fundation trading platform. And last week I requested the withdrawal, the company claimed that I first need to pay 50 thousand dollars in commissions to the company, and only then will I be able to withdraw. I'm really scared. Please if there is anyone from this company who can answer my concern. Maybe I'm being scammed by someone using this company's name. Could it be a scam?
I work in the Enterprise Space like Finance, HR, Procurement etc. I haven't seen any compelling use cases using Agents in the Enterprise where they could add real value. I am glad he mentioned that he also hasn't seen any killer apps besides code generation.
