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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...
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The pioneer behind Google Gemini is tackling an even bigger challenge—using AI to ‘solve’ disease

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At Isomorphic, Nobel Prize-winner Demis Hassabis is building AI models designed to speed up drug discovery and bring medicines to market faster. As an 8-year old, Demis Hassabis could just barely see the stars. The astonishingly prodigious child of bohemian parents, Hassabis grew up in North London in the 1980s. And through the city haze, every now and again, Hassabis could see one constellation—Orion, named for Greek mythology’s formidable hunter and for centuries a guide to sailors and farmers. Some 40 years later, it remains Hassabis’s favorite constellation, in part for its connection to the immortal: Even the ancient Egyptians venerated Orion. “First of all, it’s a bit random, these patterns of stars all lined up, as we look up from Earth,” Hassabis says. “And secondly, think about Orion’s Belt: It’s three stars that are just randomly configured. But they mean something because we are using our consciousness to interpret it.” Hassabis and I are meeting not far from where ...
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Yann LeCun’s new venture is a contrarian bet against large language models

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In an exclusive interview, the AI pioneer shares his plans for his new Paris-based company, AMI Labs. Yann LeCun is a Turing Award recipient and a top AI researcher, but he has long been a contrarian figure in the tech world. He believes that the industry’s current obsession with large language models is wrong-headed and will ultimately fail to solve many pressing problems. Instead, he thinks we should be betting on world models—a different type of AI that accurately reflects the dynamics of the real world. He is also a staunch advocate for open-source AI and criticizes the closed approach of frontier labs like OpenAI and Anthropic. Perhaps it’s no surprise, then, that he recently left Meta, where he had served as chief scientist for FAIR (Fundamental AI Research), the company's influential research lab that he founded. Meta has struggled to gain much traction with its open-source AI model Llama and has seen internal shake-ups, including the controversial acquisition of Scal...
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Ilya Sutskever Declares the Scaling Era Dead. His $3 Billion Bet Says Research Will Win.

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Ilya Sutskever helped prove that scale works in AI. Now he says it doesn't—and his $3 billion company is betting the future belongs to researchers with ideas, not labs with the biggest GPU clusters. The industry isn't ready for this argument. Ilya Sutskever thinks everyone is doing AI wrong. Not just slightly wrong. Fundamentally, paradigmatically wrong. In a recent interview with Dwarkesh Patel, the co-founder of Safe Superintelligence (SSI) and former OpenAI chief scientist laid out a thesis that should unsettle every frontier lab executive currently signing billion-dollar compute contracts. The age of scaling, he argues, has ended. What comes next requires something the industry has largely abandoned: actual research. "We got to the point where we are in a world where there are more companies than ideas," Sutskever observed. "By quite a bit." The statement lands differently coming from him. This is the researcher who co-authored AlexNet, helped b...
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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...
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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,...
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Two Neuroscientists Explain What You Probably Get Wrong About AI

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Experts reveal how AI could change our ideas about consciousness, intelligence, and what it means to be human in this new era. What happens when two of Britain’s top neuroscientists and AI researchers sit down to talk about artificial intelligence? You don’t get the usual hype about machines taking over the world. Instead, you get a crash course in how technology rewires the human brain, why cats are more impressive than chess grandmasters, and what Aristotle got wrong about reading. Steve Fleming (Professor of Cognitive Neuroscience, University College London) and Chris Summerfield (Professor of Cognitive Neuroscience, University of Oxford/Google DeepMind) aren’t Silicon Valley futurists. They’re researchers who spend their days studying how humans make decisions, reflect on themselves, and learn. That’s refreshing if you’re just done with hearing about AI hype. When they talk about AI, they don’t see it as an alien threat. They see it as another in a long line of technologies th...
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