“You Don’t Have the Flexibility to Hot Swap” On a recent episode of The All-In Podcast, Chamath Palihapitiya and David Friedberg discussed a major challenge facing companies adopting Large Language Models (LLMs): the inability to swap out models as technology advances. David Friedberg asked where technology companies or investors should start in order to take …
by Scott King 
For those of you following AI advancements, you’ve likely heard the latest updates from DeepSeek, a Chinese artificial intelligence company quickly advancing innovations that are impressive and warrant careful consideration. Over the past couple of weeks, I’ve been experimenting with DeepSeek’s AI models and find them to be every bit as capable, and sometimes even better, than …
by John Michelsen 
The market is exploding with AI-powered automation tools and bots, known as “AI agents.” These agents streamline business tasks and reduce manual effort. However, the overwhelming volume of options—hundreds of agents targeting various tasks—creates a new challenge: navigating this crowded ecosystem to deploy AI effectively and avoid creating new problems that confuse employees and add to technical …
by Scott King 
You just have to be on the path to it. A year ago, we were marveling at AI’s potential. Today, we’re living it. The rapid pace of change has turned possibilities into realities, reshaping businesses, work, and innovation in ways we’re only beginning to understand. AI is no longer a buzzword or a far-off concept—it’s …
by Scott King 
The question for PE firms is no longer whether to adopt generative AI, but how. AI can make portfolio companies more efficient and sharpen their competitive edge on much shorter timelines than ever possible before. For many portcos, building AI solutions in-house might feel like the logical choice. It promises full control, customization, and can …
by Scott King 
AI tools have transformed how businesses and individuals approach tasks, but understanding how to use these tools effectively takes some practice. We reviewed three prompt engineering guides from OpenAI, Microsoft, and Google, focusing on their intended audiences and the skills needed to work with large language models (LLMs). Prompting is not just a skill but …
by Scott King 
AI adoption is no longer optional—it’s a competitive necessity. But deploying AI isn’t as simple as downloading pre-built models or subscribing to generic cloud services. Half the AI your business needs already exists in vendor solutions, but the other half is uniquely yours. Half of the AI you need must reflect your specific processes, data, …
by Scott King 
Access to LLMs, like ChatGPT, make many believe that they are a complete automation solution. This belief, however, is misguided. Using these tools without full automation behind them keeps workflows slow and manual. Krista Chief Geek John Michelsen cautions, “If you’re still pasting documents and pulling answers manually, you are doing the work. Automation should …
by Scott King 
Your business needs answers fast, but traditional document processing methods like Intelligent Document Processing (IDP) and Optical Character Recognition (OCR) struggle with unstructured data and unforeseen questions. In our recent podcast series, we explored how these technologies fall short in handling complex document understanding, particularly when the question or data format isn’t clear. In previous …
by Scott King 
Adopting the right technology is crucial for a business’s success. Today, a key challenge is extracting valuable insights from the massive amounts of information buried in documents like invoices, purchase orders, and sales orders. Many companies still turn to intelligent document processing (IDP) and optical character recognition (OCR) to tackle this task. While these methods …
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