The old Gemini API worked like a vending machine. Prompt in, answer out, no visibility into what happened between. This update gives you a structured timeline of every step the model took: thinking, searching, tool calls, final output. Each one labeled and separated. You can now
AI
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AI captures knowledge as operator tenure declines
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When average operator tenure falls below 2 years, the knowledge that once lived in workers' notebooks has to live somewhere else. Capturing it in AI-driven software and using it to continuously guide the process is one answer manufacturers are already acting on. #twinthread_ai pic.twitter.com/rHC7l3nwe5
— Lucian Fogoros (@fogoros) 10 mai 2026When average operator tenure falls below 2 years, the knowledge that once lived in workers' notebooks has to live somewhere else. Capturing it in AI-driven software and using it to continuously guide the process is one answer manufacturers are already acting on. #twinthread_ai
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Speculative decoding speeds up LLMs by 6x
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The slowest part of running an LLM just got 6x faster without losing a single token.
— AlphaSignal AI (@AlphaSignalAI) 10 mai 2026
LLMs generate text one token at a time.
That sequential bottleneck wastes GPU power and slows everything down.
Speculative decoding fixes part of this.
A small draft model guesses ahead,… pic.twitter.com/y7YlqTWvrjThe slowest part of running an LLM just got 6x faster without losing a single token. LLMs generate text one token at a time. This sequential bottleneck wastes GPU power and slows everything down. Speculative decoding addresses part of this issue. A small draft model predicts ahead.
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AI Progress: From Basic Code to Engineering Tests
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A year ago, AI could write basic functions. Now it solves multi-step coding challenges and passes actual engineering tests. Of course, bigger models helped. But the bigger shift is in how models learn what a "good answer" means. We used to train AI using Reinforcement Learning
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Using AI prompts for business brand storytelling
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Steal my prompt to build your brand story using the right storytelling framework for your business stage. Most solopreneurs force their brand into the Hero's Journey when they don't have the customer proof to back it up yet. This prompt diagnoses where your business actually is,
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Analyzing token consumption and efficiency for HTML in LLMs
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The most frequent objection in the comment section is this line: "HTML eats up so many tokens— is Anthropic indirectly fleecing us?" I've flipped this thought over in my mind, and maybe we can look at it this way. First, HTML does eat tokens—that's a fact—but if Anthropic
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Rediscovering Karpathy’s wikiLLM with Obsidian and Claude as a second brain
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I'd somehow completely forgotten that Karpathy introduced the wikiLLM a while back (obsidian + Claude code/codex). I'm sick in bed and set it up because I have nothing else to do. I love it. I have a second brain now. Amazing.
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New Pet Robot Uses Multimodal AI for Adaptive Behavior
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New pet #Robot uses local multimodal #AI to learn and adapt to human behavior
by Aamir Khollam @IntEngineering Learn more: https://
bit.ly/4th8XFF #Robotics #Engineering #ArtificialIntelligence #Innovation #Technology -
Yuva AI for All initiative promotes AI education in India
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YUVA AI for ALL કોર્સ સમગ્ર ભારતમાં AI શિક્ષણને વધુ સુલભ અને સર્વસમાવેશક બનાવી રહ્યો છે. ભાષાકીય અવરોધો દૂર કરીને, આ કોર્સ વધુ શીખનારાઓને AI સમજવા, તેનો ઉપયોગ કરવા અને દૈનિક જીવનમાં તેને લાગુ કરવા સક્ષમ બનાવે છે. આજે જ શીખવાનું શરૂ કરો → https://
skillindiadigital.gov.in/courses/detail
/4dc1218c-e495-452c-b555-aa67ae23cdc3
… #IndiaAI -
Token usage debate in AI prompt interfaces for 2025
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The MCP vs CLI debate. For most of 2025, AI Engineers argued about it. The skeptics had real numbers: – Playwright MCP eats 13.7K tokens
– Chrome DevTools MCP eats 18K
– A 5-server setup burns 55K tokens before any work The defenders pushed back: – CLIs break on multi-tenant