ContentPosts from @deepnandre..
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@faun shared a link, 3 months, 1 week ago

Debugging memory leaks in Postgres, jemalloc edition

jemallocexcels at sniffing out memory leaks compared toAddressSanitizer, especially when leaks ghost out at program exit. But here's the catch: to dig into profiling with jemalloc, like you're wrangling Postgres, you better cozy up to Linux...

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@faun shared a link, 3 months, 1 week ago

Why Environments Beat Clusters For Dev Experience

Developers chasepromotions, not the tedium of deployments. Environments should reign supreme—not just a lone Kubernetes cluster hogging the spotlight.Real-time insights? They zoom past those outdated, siloed CI pipelines...

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@faun shared a link, 3 months, 1 week ago

Inside Google’s Agent2Agent (A2A) Protocol: Teaching AI Agents to Talk to Each Other

Agent2Agent (A2A)is the new gospel for AI agents, taking over as the universal translator across platforms. Imagine 50+ tech behemoths waving its banner. A2A, clutchingJSON-RPC 2.0 over HTTP(S), crafts a chat apocalypse for AI, wiping out the custom integration chaos, much like the venerableInternet..

Inside Google’s Agent2Agent (A2A) Protocol: Teaching AI Agents to Talk to Each Other
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@faun shared a link, 3 months, 1 week ago

ChatGPT polluted the world forever, like the first atom bomb

AI model collapsecould hit hard with synthetic data in play. Picturepre-2022 dataas the “low-background steel” savior for pristine datasets. The industry squabbles over thetrue fallout, while researchers clamor for policies that keep data unsullied. The worry? AI behemoths might lock everyone else o..

ChatGPT polluted the world forever, like the first atom bomb
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@faun shared a link, 3 months, 1 week ago

How to Build an Asynchronous AI Agent Network Using Gemini for Research, Analysis, and Validation Tasks

The Gemini Agent Network Protocol introduces powerful AI collaboration with four distinct roles. Leveraging Google’s Gemini models, agents communicate dynamically for improved problem-solving...

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@faun shared a link, 3 months, 1 week ago

AI at Amazon: a case study of brittleness

Amazon Alexa floundered amid brittle systems: a decentralized mess where teams rowed in opposing directions, clashing product and science cultures in tow...

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@faun shared a link, 3 months, 1 week ago

Reinforcement Learning Teachers of Test Time Scaling

Reinforcement-Learned Teachers (RLTs)ripped through LLM training bloat by swapping "solve everything from ground zero" with "lay it out in clear terms." Shockingly, a lean 7B model took down hefty beasts likeDeepSeek R1. These RLTs flipped the script, letting smaller models school the big kahunas wi..

Reinforcement Learning Teachers of Test Time Scaling
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@faun shared a link, 3 months, 1 week ago

Lenovo introduces new AI-optimized data center systems

Lenovo'sThinkSystem SR680a V4doesn't just perform—it explodes with AI power, thanks to Nvidia'sB200GPUs. We're talking4nmchips with a mind-boggling208 billion transistors. Boost? Try11x...

Lenovo introduces new AI-optimized data center systems
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@faun shared a link, 3 months, 1 week ago

The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity

FrontierLarge Reasoning Models (LRMs)crash into an accuracy wall when tackling overly intricate puzzles, even when their token budget seems bottomless.LRMsexhibit this weird scaling pattern: they fizzle out as puzzles get tougher, while, curiously, simpler models often nail the easy stuff with flair..

The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
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@faun shared a link, 3 months, 1 week ago

Amazon CEO warns staff: Eat or be eaten by AI

Amazon'sCEO sounds the alarm: AI is gearing up to decimate office jobs. He urges employees to sharpen their skills or risk getting the axe, all while Amazon unleashes a cavalcade of over1,000generative AI projects...

Amazon CEO warns staff: Eat or be eaten by AI