Are you using the same model for everything or splitting tasks across models?
AGENTS
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Billion quick questions trivial compared to long-running agents
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Codex users, easily. A billion quick questions is nothing next to agents running for hours.
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Agentic AI: Solving Skilled Labor Shortage in Manufacturing and Supply Chain
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Agentic AI offers huge value for addressing the skilled labor shortage across manufacturing operations and supply chain.
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AI reads in U-shape: scale complex tasks with subagents
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When one prompt isn't enough, stop cramming! Brilliant piece by my good friend Mari! It covers how AI reads in a "U-shape" (ignoring the middle) + how to scale complex tasks using subagents instead of these fragile MEGA-prompts
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AI hallucination leads candidate to wrong company with confidence
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Somewhere, a candidate is walking into the wrong company with total confidence because their “research assistant” hallucinated the restaurant, the CEO, and possibly the menu. I laughed because this is exactly how AI confidence feels before verification enters the room. The
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Hardmaru will discuss Sakana AI’s 1T parameter model on WBS
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On TV Tokyo’s WBS (
@wbs_tvtokyo
) tonight I’ll be discussing Sakana AI’s upcoming 1T parameter model project, supported by METI’s GENIAC initiative. We are scaling up to build Japan’s first 1T parameter agent-native model, specifically optimized for long-horizon deep research and -
Bernard Marr at Asana Summit on AI agents and future work
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I’m in London today at Asana’s Work Innovation Summit, where the big focus is the future of work, AI agents and how human teams can work more effectively alongside intelligent systems. One of the themes I’ll be exploring today is the shift from individual AI tools to agentic
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Anthropic co-founder: self-aware superhuman coder with nation-state hacking
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6. Co-founder @jackclarkSF tells new recruits in a monthly welcome talk titled “Anthropic is not a normal company”: “we’re selling a superhuman coder that is increasingly self-aware and has nation-state hacking capabilities. Get hobbies that aren’t computers.”
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SambaCloud’s MASSIVE 435 t/s output speed for OpenClaw multi-agent frameworks
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When you run multi-agent frameworks like @OpenClaw
, you know the output speed is critical. As the chart below shows, SambaCloud serves MiniMax M2.7 at a MASSIVE 435 output tokens per second, more than 3x faster than the nearest competitor (Fireworks at 127 t/s). Combine that -
AI frees humans from mundane tasks for satisfying work
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AI isn't replacing humans; it's taking away the repetitive, mundane tasks people hate so they can focus on high-value, satisfying work. Gregg’s advice? Don't wait to get started. Full floor interview: https://
youtu.be/lVUOygymm0g @Appian @SwayEffec #AgenticAI #FutureOfWork