Elliott Gaspar’s Post

it's as it's almost like Old English you want to explain it har just means like you can find treasure in surprising places yeah and I think the cool thing is you have to go deep and vertical and solve a very concrete problem like some of the problems with let's maybe talk about AI tarpits what a tarpet idea is is it's an idea that from the outside looks really shiny and attractive it looks like a great startup idea and so lots of Founders go and they start working on it and then you realize once you're in it that it's actually not a good startup idea but but by the time you're there you're like stuck in it and so it just attracts founder after founder and they just get stuck in the tarpet idea and we see this a lot at YC because we see all these applications and so it's really obvious to us when like 500 people apply to a YC bat for the same idea but they don't know that 499 other Founders are also stuck in the same tarpet what's tricky I think about topet ideas for AI is like we know something's that top it idea in hindsight once like enough people have been stuck in it so with AI it's so new we don't know yet so I have a couple that I'm actually like Keen to get your's thoughts on um a very common one is AI co-pilot so it's like hey I'm going to make it easy for um people to like build an AI co-pilot for their product or or service it's it's really unusual type of phenomenon where there's so much interest from potential customers to like want a co-pilot that it's actually quite easy to start getting getting like inbound leads if you pitch this and if it's even easy to get people to pay you money up front but what's really hard is to get them to actually like use the co-pilot because they don't actually know what they want it for like they just heard that AI co-pilots might be changing the feature of software so we should have an AI co-pilot but they don't actually know what their customers will use it for I think for me and maybe I just have a uh a mental block around chat interfaces but I've never been that big a fan of chat because it puts so much of the

New AI company pitch meeting PlaceholderAI Let us introduce Generic AI! That's right, not generative, generic. Just like every other startup nowadays. But we are different of course for "to be filled in later" reasons!  We provide AI problems to non-existing solutions! Or is it the other way around? Does it matter? We are a team of dedicated experts (that is me and ChatGPT...and potentially some others if it goes well) that will tirelessly work on absolutely not scamming venture capitalists. For the cheap price of a couple of billion dollars, we will make a semi-functional chatbot (totally not a ChatGPT API) that will solve all kinds of real-life problems. Yes, in the beginning, it might be a couple of hundred low-paid Asian workers doing all the AI-ing, but hey, people can't take the jobs of AI for much longer (looking at you Amazon)! If it's really necessary for the pitch I promise to learn a couple of tech mumbo-jumbo words to impress you, dear investor - or we can go the xAI way, where I just say things like "it will have all kinds of real-world applications and will probably solve the mysteries of the universe". You choose! I promise not to invest most of the money in Nvidia and SMCI stocks and spend the rest of it on marketing, just to make sure the noise is big enough so that the share prices go up.  I probably shouldn't have said this out loud. So what do you say, dear VC exec, are you ready to change my world? I mean the world? Cool, sign here, please. You have more questions? Right, the solution essentially revolves around FSB - or Full Self Bribing.  It works like this, you give me the monaaaeey and I promise I'll not tell anyone how stupid you looked during this pitch meeting, and later when the whole thing goes bust and you realize spending billions on a potential service we would sell for 19$ a month was never going to be a good investment. Just to prove how creative we are, I just came up with the final name for our company. HypetrAIn. What, this name is already taken? You gotta be kidding. Then we should call it DotCom2. Well, DotCom2.AI, obviously.

#ai | #artificialintelligence | #startups : The sixth annual Forbes AI 50 list . The 2024 edition of the AI 50 shows how Gen AI is starting to transform #enterprise #productivity . Five productivity apps, OpenAI’s ChatGPT, Anthropic’s Claude, DeepL, Notion and Tome are now catering to customers at the consumer, prosumer and enterprise levels. Image editor Photoroom, video generation app Pika and game-builder Rosebud show that the lines are blurring between consumer and prosumer for creative software. Overall, companies in that category also doubled, going from three to six. Key Trends : (1) General Productivity- (2) Applications for Creators (3) AI in the Physical World (4) Infrastructure Read more at https://lnkd.in/g8AWNjxE

#Topics 10 investors talk about the future of AI and what lies beyond the ChatGPT hype [ad_1] When I mentioned “the rise of AI” in a recent email to investors, one of them sent me an interesting reply: “The ‘rise of AI’ is a bit of a misnomer.” What that investor, Rudina Seseri, a managing partner at Glasswing Ventures, means to say is that sophisticated technologies like AI and deep learning have been around for a long time now, and all this hype around AI is ignoring the simple fact that they have been in development for decades. “We saw the earliest enterprise adoption in 2010,” she pointed out. Still, we can’t deny that AI is enjoying unprecedented levels of attention, and companies across sectors around the world are busy pondering the impact it could have on their industry and beyond. Dr. Andre Retterath, a partner at Earlybird Venture Capital, feels several factors are working in tandem to generate this momentum. “We are witnessing the perfect AI storm, where three major ingredients that evolved throughout the past 70 years have finally come together: Advanced algorithms, large-scale datasets, and access to powerful compute,” he said. Still, we couldn’t help but be skeptical at the number of teams that pitched a version of “ChatGPT for X” at Y Combinator’s wi...

In the last 3 months, I have been using 3 AI tools for business purposes. ChatGPT, Gemini, PerplexityAI, comparing these three tools, Gemini AI will rock, giving exact details which I needed most. In my opinion, Gemini is better than the other two AI tools. Once again, Google proves why they are master of innovations I always love Google products. #startup #business #hustle #growth

🚀 My first GPT: Startup AI Genius: Your AI Startup Mentor! 🚀 Hey everyone! I want to share something cool I made for fun on a chill Saturday at home – it's called Startup AI Genius. Using ChatGPT, this tool lets you simulate starting your own startup, guiding you from idea validation to scaling the world in 5 years. I created this to explore the potential of this technology and how it could change the way we work and live. Give it a try and let me know what you think! 👉 Have fun: https://lnkd.in/dihs7sFx #StartupAIGenius #Innovation #AI #ChatGPT

Unlock the Power of AI: Tools to Work Smarter, Not Harder Want to learn more about using ChatGPT for business growth? https://bit.ly/4dX8rFc #numberoneacademy #no1 #onlinecourses #businesscourses #startup #idea #MSME #AIPower #WorkSmarter #AIRevolution #AIforBusiness #EfficiencyBoost

Quick thoughts on this trend we're seeing in the market. DeepL’s recent $300 million investment is a clear sign that businesses are increasingly valuing function-specific AI models. Unlike general-purpose tools like OpenAI's ChatGPT, DeepL's AI offers exceptional accuracy and nuanced understanding, essential for high-stakes enterprise translations. This shift means companies should look into specialized AI solutions to meet their unique needs, ensuring precision, privacy, and security. For those of us working in global markets, leveraging these targeted AI models can greatly enhance communication and efficiency. It's probably a smart move to start exploring these advancements now to stay competitive in the rapidly evolving AI landscape.

Customization is key, startups in this budding sector say. Taking off-the-shelf generative #AI tech, or “large language models” in tech parlance, and tailoring them to work with a company’s existing systems is a technical task requiring knowledge of both #LLMs and of the company to be outfitted, they say. #business #digitaltransformation