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(3) John Carmack on X: "I have also run this fun thought experiment! More of the world than many might imagine could run on outdated hardware if software optimization was truly a priority, and market price signals on scarce compute would make it happen. Rebuild all the interpreted microservice based" / X
(3) John Carmack on X: "I have also run this fun thought experiment! More of the world than many might imagine could run on outdated hardware if software optimization was truly a priority, and market price signals on scarce compute would make it happen. Rebuild all the interpreted microservice based" / X
·x.com·
(3) John Carmack on X: "I have also run this fun thought experiment! More of the world than many might imagine could run on outdated hardware if software optimization was truly a priority, and market price signals on scarce compute would make it happen. Rebuild all the interpreted microservice based" / X
(3) elvis on X: "Reasoning LLMs Guide Here is my practical guide to building with Reasoning LLMs. Lots of dev tips in it. It covers: - What are Reasoning LLMs? - Top Reasoning Models - Reasoning Model Design Patterns & Use Cases - Reasoning LLM Usage Tips - Limitations with Reasoning Models https://t.co/TXjkH5kg6l" / X
(3) elvis on X: "Reasoning LLMs Guide Here is my practical guide to building with Reasoning LLMs. Lots of dev tips in it. It covers: - What are Reasoning LLMs? - Top Reasoning Models - Reasoning Model Design Patterns & Use Cases - Reasoning LLM Usage Tips - Limitations with Reasoning Models https://t.co/TXjkH5kg6l" / X
docs.google.comReasoning LLMs GuideReasoning LLMs Guide By DAIR.AI Academy A practical guide to building with Reasoning LLMs. Table of Contents What are Reasoning LLMs? Top Reasoning Models Reasoning Model Design Patterns & Use Cases...
·x.com·
(3) elvis on X: "Reasoning LLMs Guide Here is my practical guide to building with Reasoning LLMs. Lots of dev tips in it. It covers: - What are Reasoning LLMs? - Top Reasoning Models - Reasoning Model Design Patterns & Use Cases - Reasoning LLM Usage Tips - Limitations with Reasoning Models https://t.co/TXjkH5kg6l" / X
Scaling Laws For Scalable Oversight
Scaling Laws For Scalable Oversight
(A security aspect contrasting Compton might be that tactical versions are initiated to have controlled chain reactions and then vanish, also not unlike Houdini, or a locked Roomba mystery, so there may be a forensic science. Also relate to prior paper on MAIM's version of MAD and articles on quantum hacks.))
·arxiv.org·
Scaling Laws For Scalable Oversight
‎Gemini - Vibe Coding: Theory and Guide
‎Gemini - Vibe Coding: Theory and Guide
(Ran generic prompt across Consensus, Elicit, and SciSpace for more explicit lit reviews and summaries: Good reference material on morphogenesis after Turing's original paper, current research trends. How is morphogenesis related to AI, e.g. artificial life, robotics, synthetic bio? Both Elicit and SciSpace had framework tables that looked at interdisciplany discussions. These all had Share. That latter ones had PDF SciSpace saved to Notebook. STORM from Stanford is running a study on effectiveness of generating Wikipedia-like articles if prompt is limited to 20 words. Google AI has morphogenesis related to sentience through the brain. All of these are mimicking user style, including textures, which seems ironic. If AGI is approaching, drawing the line is going to be interesting. Have to find a noob to be objective. Else the user may be like Narcissus, and both Echo. The BCI types are going to be fascinating. Is Generative AI going to add morphogenesis twists? What does someone see when they close their eyes? Other search engines like Google Scholar or Sourcely also list titles. Turing had 17370 citations. His middle name was Mathison.)
·gemini.google.com·
‎Gemini - Vibe Coding: Theory and Guide
DeepSeek and tariffs fail to undermine the AI investment boom (so far)
DeepSeek and tariffs fail to undermine the AI investment boom (so far)
(Author also argues in The Washington Post that Tesla's survival depends on Musk's efforts toward Optimus -- the pro-Humanoid side versus the East. Critics cite connectionist and symbolic as insufficient so far. Where do the next breakthroughs appear, e.g. quantum, nano, bio, or is there another implicit or tacit field? Is it knowledge or intelligence at all? Does it also trigger autonomy? Is it less robotic and more bionic? Or what was the makeup of Hermes' caduceus? investors may consider it like "hedge" computing. Incidentally, Grok identifies remaining AI Proxies as behaviorist or evolutionary. Deep Search tosses in agent-based or artificial life as secondaries. And humanoids themselves may form a substrate or swarm like drones. Elsewhere miniature versions of the latter are used in pollination, so does that also apply to factories? Or extreme environment. The Friday memo types might be happy with a dashboard. Who picks the roadmap? When do goals, values, intentions, or agency signal sentience? Or life? If Mars agrees. Was morphogenesis related to AI?)
·fasterplease.substack.com·
DeepSeek and tariffs fail to undermine the AI investment boom (so far)