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Showing posts with the label ai agents

What Is OpenClaw And Why It Matters For Crypto’s Next Phase?

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Have you been seeing all the tweets, posts, and noise about OpenClaw, formerly Moltbot and Clawdbot? It feels like it appeared everywhere at once. Per Dark Reading, in less than a week, the project exploded to over 100,000 GitHub stars , making it one of the fastest rise times for an open-source AI project. OpenClaw is not just an AI Agent. It is an execution engine. OpenClaw is an AI designed to take action on a user’s behalf. It can send emails, manage calendars, trigger workflows and operate across devices from inside chat interfaces. It works across messaging apps, and is governed by rules set by the user, not the platform. Cloudflare reacting to the popularity of OpenClaw, formerly Moltbot, formerly Clawdbot on X. Sandy Carter And yes, its rise has already had a real world impact. It reportedly drove a spike in Apple purchases and prompted Cloudflare to introduce sandboxed, family safe ways to run OpenClaw. Execution is the distinction matters. In crypto and Web3, the...

OpenAI Co-Founder: AI Agents Are Still 10 Years Away

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AI researcher Andrej Karpathy asserted in a lengthy podcast interview that while LLMs show huge progress, a decade of "grunt work" still lies ahead. When OpenAI co-founder Andrej Karpathy speaks, even Elon Musk reacts. Karpathy had just recorded a two-and-a-half-hour interview with podcaster Dwarkesh Patel. And their wide-ranging discussion challenged conventional wisdom, with Karpathy pointing out roadblocks on any road to artificial general intelligence (AGI), and arguing that we’re 10 years away from AI agents. Right off the bat, Karpathy said “there’s some over-prediction going on in the industry.” And later, on X.com, he provided specifics on his own expectations: “Basically my AI timelines are about 5-10 times [as] pessimistic with regard to what you’ll find in your neighborhood San Francisco AI house party or on your Twitter timeline, but still quite optimistic with regard to a rising tide of AI deniers and skeptics.” Conversations inevitably continued on soci...

Enterprise LLM Spend Reaches $8.4B as Anthropic Overtakes OpenAI, According to New Menlo Ventures Report on LLM Market

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Change in Enterprise LLM API Market Share By the end of 2023, OpenAI commanded 50% of the enterprise LLM market, but its early lead has eroded. Today, it captures just 25% of enterprise usage—half of what it held two years ago.Anthropic is the new top player in enterprise AI markets with 32%, ahead of OpenAI and Google (20%), which has shown strong growth in recent months. Meta’s Llama holds 9%, while DeepSeek, despite its high-profile launch at the beginning of the year, accounts for just 1%. Coding Market Share Claude quickly became the developer’s top choice for code generation, capturing 42% market share, more than double OpenAI’s (21%). In just one year, Claude helped transform a single-product space (GitHub Copilot) into a $1.9 billion ecosystem. The release of Claude Sonnet 3.5 in June 2024 demonstrated how breakthroughs at the model layer can move application markets, making possible entirely new categories like AI IDEs (Cursor, Windsurf), app builders (Lovable, Bolt,...

How Small Language Models Are Key to Scalable Agentic AI

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The rapid rise of agentic AI has reshaped how enterprises, developers, and entire industries think about automation and digital productivity. From software development workflows to enterprise process orchestration, AI agents are increasingly helping to power enterprises’ core operations, especially in areas that have previously been deemed plagued by repetitive tasks.  Most of these agents depend heavily on large language models (LLMs). LLMs are often recognized for their general reasoning, fluency, and capacity to support open-ended dialogue. But when they’re embedded inside agents, they may not always be the most efficient or economical choice. In our recent position paper, we outline our observations about the role small language models (SLMs) play in agentic AI. Titled Small Language Models are the Future of Agentic AI , we highlight the growing opportunities for integrating SLMs in place of LLMs in agentic applications, decreasing costs, and increasi...