Andrew Bluemental’s Post

With AI showing no signs of slowing down, how can startups make best use of this tech for their growing teams and business? On July 12, tech and data leaders will discuss the ways AI and machine learning are helping businesses to scale. 📍 Online / 🗓️ July 3 \ ⏰ 12pm BST This event’s a no brainer for CTOs and CDOs alike 👉 https://lnkd.in/eEmz4rg6 #ai #machinelearning #datamanagement #siftedtalks #startupevent

We’ve spent much of this year at Gitwit in the weeds of AI — giving presentations, creating AI-focused content, and most importantly building new products and exploring new GTM approaches. While we’ve been running hard and fast at AI opportunities, we also wanted to ask ourselves critically why and how Gitwit wins in the new AI-enabled future. In a way that has defined much of how we solve problems, we wanted to step back and draft some thoughts on the opportunity and where we fit. It was a thought exercise designed to frame the moment not through the lens of a cheap strategy framework, but through an essay that explored the AI topic. It is not meant to be a mission, vision, or a strategy, but rather a catalyst for us to think about the future from a blank page. We did this originally as an internal exercise for our team only, but after the fact I think it’s worth sharing. Read our ‘AI Manifesto’ — at the very least I hope it gives you a new frame for how to think of the excitement and inevitable change that lies ahead. https://lnkd.in/g7u5UsgS

Over the past year, we’ve launched 3 AI-enabled ventures with a handful more in development. Here’s how we’re thinking about AI: https://lnkd.in/e5wY4eDe

Watch as Props AI pitches JCal on the latest "This week in startups" episode! The result? Props AI is now a LAUNCH Portfolio company 🚀

I love hearing investors talk about the importance of design )last half of this clip). It’s one of the reasons Jason Calacanis was the first money into Semanttic AI. Design = PMF. Usability, task completion, content, information architecture, interaction design, the user journey and (yes) aesthetics are all critical to defining what the product is, whom it is for, and ultimately finding your PMF. None of it happens organically or by accident. And props to Props AI 🙌

It feels glorious to see stories sprinkled about that are proclaiming the end of the AI hype cycle. Long-overdue. This is good news. Doesn't change the fundamentals of the change that is brewing. Increases in computing power still portend massive changes ahead. But the coming reduction in market noise signals that vendors are moving beyond the stage of "talking" about AI and getting more into the hard work of developing the AI applications that generate market value. #ArtificialIntelligence #PostHype #RollingUpTheSleeves

Builders transform the world by turning curiosity into action, learning into growth, and ideas into shared progress. 🚀 Here are the top 5 things builders have been exploring this past week📰: 1. MIT Technology Review - How OpenAI stress-tests its models: https://lnkd.in/gRSMbKcb (credit: Julian Bright) 2. Amigo.ai - The Future of Expertise: https://lnkd.in/g-vbMJP3 (credit: Julian Bright) 3. Flexible LLM Guardrail Development - A new applied AI paper from govtechsg: https://lnkd.in/gzgfnhhE (credit: Gabriel Chua) 4. QwQ 32B Preview - Experimental research model focused on advanced AI reasoning by Qwen: https://lnkd.in/gaAJHDtG  (credit: Julian Bright) 5. Menlo Ventures - The State of Generative AI in Enterprise: https://lnkd.in/grj-_bYD (credit: Annie Liao 🇦🇺) What are your thoughts on these? Let us know below! 👇 #AI #startups #builders #genAI #innovation

So an algorithm walks into a bar...never mind. If you haven't heard of Mistral, you will soon. The 9-month-old AI startup just released its own chatbot and its newest LLM is already challenging the likes of OpenAI, Anthropic and Google. Oh, and for good measure, it also inked a deal with Microsoft. From its technology to its alliance, the implications bear watching. Chatbots are beginning to feel like the minimum price for entry into generative AI these days. So not to disappoint, Mistral released a public test version of its own chatbot called Le Chat. In conjunction with that, the company's newest LLM performs comparably in reasoning capability with GPT4 and Gemini Ultra. But here's the zinger...Mistral's LLM costs a fraction to train. How big a deal is that? Well, it's a big enough deal that Microsoft invested in the OpenAI rival. But the bigger implication is the Mistral investment enables Microsoft to hedge its AI bets and reduce its reliance on OpenAI for supplying the next wave of chatbots and other generative AI products. With that, Microsoft is also betting on Mistral's open source approach to AI, which is unlike OpenAI's closed system strategy. All of this plays into the bigger AI race, and if Mistral's technology and strategy holds true, it will only heat the competition and likely speed up AI advances even further https://lnkd.in/g_qkBQWp #mistralai #microsoft #llm #generativeai #openai #geminiultra #artificialintelligence #chatbots

The rapidly evolving generative AI landscape has the potential to allow startups to compete with high-budget rivals in building their online presence. In terms of cost-saving and maximizing efficiency, the opportunities presented by the GenAI boom could truly help to level the digital playing field. 

🌟 The AI landscape is buzzing with news from DeepSeek, a Chinese startup that has just unveiled its reasoning model, DeepSeek-R1-Lite-Preview. This new model is reportedly on par with OpenAI’s latest offerings, utilizing a “chain-of-thought” approach to tackle complex problems. Its impressive performance across benchmarks like AIME and MATH highlights the resilience of innovation, even while dealing with challenges like AI chip bans. However, early users have pointed out some limitations, particularly in content moderation. While the model tends to block politically sensitive topics, many have found ways to bypass these restrictions. As we get into the capabilities of AI models like DeepSeek’s, it’s important to engage in conversations about ethical considerations and the balance between innovation and responsible use. What are your thoughts on this latest development? 💡 #AI #DeepLearning #Innovation #EthicsInAI