ContentPosts from @arulselvan..
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@faun shared a link, 5 months, 3 weeks ago
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Algorithms for making interesting organic simulations

Jeff Jonescrafted an algorithm inspired by the ever-curiousPhysarumslime mold. His system uses agents sniffing out trails and veering according to their strength. But that's just the base model.36 Pointscranked up the intricacy by throwing in 20 parameters to keep things unpredictable. Instead of st.. read more  

Algorithms for making interesting organic simulations
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@faun shared a link, 5 months, 3 weeks ago
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How does a screen work?

Tiny electric crystalshave dethroned the clunkyelectron guns, quietly transforming digital displays into computing's under-the-radar MVPs. From firing electrons at glowing phosphors to bending light through crystal layers, screens are the overlooked magic powering everything we see. Understanding th.. read more  

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@faun shared a link, 5 months, 3 weeks ago
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Grok 4 Heavy won’t reveal its system prompt

Grok 4 Heavytucks its system prompt under the rug, abandoning its earlier promise of transparency. This move risks its credibility, especially on the heels of that recent antisemitic prompt debacle... read more  

Grok 4 Heavy won’t reveal its system prompt
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@faun shared a link, 5 months, 3 weeks ago
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Recovering from AI Addiction

AI addiction wreaks havoc on the brain, triggering dopamine rushes and muddying judgment. It mirrors the chaos of substance abuse.To reclaim their lives, those battling this digital beast turn to virtual meetings and outreach calls. They sidestep tech traps, embracing the grit of the12 Stepsto wrest.. read more  

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@faun shared a link, 5 months, 3 weeks ago
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AI slows down open source developers. Peter Naur can teach us why.

AI tools trip up seasoned devs who’ve got the code stored upstairs because they bungle model transfer. Meanwhile, devs mistakenly trust they'll zip through it.Newcomers blaze ahead, knowing zilch about the codebase. Veterans? They hit roadblocks trying to dig deep... read more  

AI slows down open source developers. Peter Naur can teach us why.
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@faun shared a link, 5 months, 3 weeks ago
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Announcing GenAI Processors: Build powerful and flexible Gemini applications

GenAI Processorsby Google DeepMind strips away AI pipeline headaches with a modular, stream-based design that's all about real-time agility. This beauty chops downTime To First Tokenby harnessing Python's concurrency magic. It juggles multimodal data like a pro, making life a breeze for LLM apps tha.. read more  

Announcing GenAI Processors: Build powerful and flexible Gemini applications
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@faun shared a link, 5 months, 3 weeks ago
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The LLM-for-software Yo-yo

LLMshave evolved from playful diversions to indispensable coding companions. Yet, a study suggests they sometimeshinderdevelopers. Digging deeper into the nuances of context and repetition could reveal the truth lurking within these claims... read more  

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@faun shared a link, 5 months, 3 weeks ago
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Here's What Developers Found After Testing Gemini 1.5 Pro

Gemini 1.5 Prodoesn't just dabble; it conquers zero-shot tasks. Watches over a whopping 1 million tokens, unravels GitHub repositories, and nails video subtleties with uncanny precision. Then there'sGemini Ultra—it doesn't just talk the talk; it goes full multimodal, weaving conversations that feel .. read more  

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@faun shared a link, 5 months, 3 weeks ago
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Gemini Embedding now generally available in the Gemini API

Gemini Embeddingdoesn't just stand on MTEB's Multilingual leaderboard; it struts. More than 100 languages bow to its prowess, stretching up to a max2048 input token length. It wieldsMRLtechniques like a wizard’s wand for slick optimization. Curious? It's yours for a paltry$0.15 per 1M tokensthrough .. read more  

Gemini Embedding now generally available in the Gemini API
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@faun shared a link, 5 months, 3 weeks ago
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Chat with your documents tool — RAG (vector DBs + cosine sim.) & Claude API implementation

RAGdominates legal circles by embedding private briefs intoFAISS. Imagine zero hallucinations. Plus, it keeps pristine audit trails and trims costs like a pro. Handles up to1 TBof data, responding in a blink. It's got the brains ofTri-lingual MiniLMand the agility of a quantizedcross-encoder. All wi.. read more  

Chat with your documents tool — RAG (vector DBs + cosine sim.) & Claude API implementation