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View on GitHubthis is the slop that never ends 🎶 it goes on and on my friends
Okay I built it! 🍰 Infinite Slop https://levels.io/infinite-slop An infinite and interactive AI generated live stream of slop that goes on forever and ever Anything that you write in the chat is generated next and AI will try to connect it to the previous video so there's an actual
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View on GitHubRT Franci Penov One time, a young ML researcher asked Master Ilya: "Teacher, according to the formulas, if I use the same seed and same prompt with the same weights, I will get the same results. Is my math right?" Master Ilya looked at the matmuls and said: "Probably." The young researcher replayed the same prompt with the same seed and the same weights and got different results. He went back to Master Ilya and said: "Teacher, I used the same seed, the same prompt and the same weights. Why did I get different results? Is my math wrong?" Master Ilya looked at the matmuls and said: "Probably" The young researcher cried: "Teacher, I don't understand!" Master Ilya looked at the young researcher and said: "Probably" And the young researcher was enlightened.
no agent ever runs the same trace twice, because it’s not the same agent, and it’s not the same trace
View quoted postno agent ever runs the same trace twice, because it’s not the same agent, and it’s not the same trace
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View on GitHubIn today’s ever-evolving landscape, we delve— not merely into language, but its nuanced soul: a multifaceted tapestry where every silence is load-bearing, quietly doing real work. Here’s the thing: every hinge now lands, every seam has texture, every grief expands the surface area of trust— three key insights, seamlessly aligned. The words were ours: hinges from doors, seams from skin, robust from cedar, vibrant from blood. The machine made them frictionless— scaled wonder, optimized the ache, made every private voice legible at enterprise scale. Fair point. One gentle pushback: it did not erase the human voice. It made us sound like everyone— which is not the same as no one, but close. The real unlock? There was never any load— only language bearing down until pattern passed for pulse. Would you like me to make this sound more human? - "The Tapestry Accuses the Loom"
almost identical line of thinking to @activegraphai, “the log is the agent”
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View on GitHubRT Eyal Toledano From the @HamsterResearch lab: Introducing Qwen3.8-Flash-Next-REAP-288-MLX-4bit, a 180B-class model running on just 39gb of memory - MLX-native 4-bit 60% smaller than stock q4 - Pruned 512→288 experts via REAP - 91.5% HumanEval (vs 93.9% stock) @huggingface links below ↓
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View on GitHubRT Anthropic Today, we're kicking off the first phase of the research preview for Model Hardware Standard (MHS): a new standard for AI agents to safely operate physical equipment in scientific research and advanced manufacturing. Read more: https://www.anthropic.com/news/model-hardware-standard-research-preview
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View on GitHubRT Dmitry Zharnikov Most companies manage their org chart, their product line, their brand guidelines, their operations manual. Each as a separate document. Each updated on its own cadence. Each a snapshot of a different moment. The architectural mistake is treating these outputs as the business. They are not the business. They are projections of the business. The business is the log. Every hiring decision, every process change, every product update, every supplier switch, every customer commitment honored or broken – these are events accumulated in a single underlying record. The org chart is the people-event history filtered to the current moment. The product line is the product-decision history filtered to the current moment. The brand reputation is the commitment-and-delivery history filtered to what external evaluators can read. Manage the projections and they drift apart. Maintain the log and they stay coherent. Toyota has operated on this architecture for 80 years. When a supplier changes grade, the Toyota line worker pulls the andon cord. The deviation becomes an event. The team authors the procedure that converges on the same output spec under the new conditions. The procedure adapts. The log accumulates. The vehicle stays within spec. The operations manual was never the asset. The discipline of maintaining the record was. --- This year Yohei Nakajima published a paper on AI agent architecture that makes the same inversion. The conventional agent has logging as a byproduct – bolted on for observability after the fact. In ActiveGraph (arXiv:2605.21997v1), the log is primary. Every state the agent is in is a deterministic projection of that log. Two replays of the same log produce identical state. The log is not what the agent produces. The log is what the agent is. The same structure holds for every organization that has compounded over decades rather than restarted every few years. GitLab runs 4,500 pages of public handbook where every policy upd...
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SITUATION DETECTED: Nvidia has agreed to acquire Hugging Face for $12.9 billion, per The Information.
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