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GROK 4.20 DROPS SOON – EXPECT EVEN MORE SPEED, SKILL, AND SNARK The version number’s a wink – the upgrade is all business. System Check: * Built on 4.1’s super core, but sharper, faster, and way more creative * Aims to outthink GPT-5.1 and Gemini 3 Pro, no sweat...

69,965 просмотров • 6 месяцев назад •via X (Twitter)

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GROK SURGES TO THE FRONT OF THE GENAI RACE AS GROWTH SKYROCKETS Grok is absolutely amazing, continuing to stun with incredible results. Web traffic jumped nearly 15% month-over-month in November 2025, the fastest growth in the generative AI industry, proving Elon’s xAI project isn’t just competing, it’s taking real market share from ChatGPT. Grok hit around 234.4 million visits in November, up from 204 million in October. That’s a staggering 1,300% year-over-year surge, pushing it past Perplexity and Claude in user growth and cementing it as the world’s #2 chatbot by market share. The breakout came with Grok 4.1’s release in mid-November. The update debuted at number 1 on LMSYS Arena, that’s the global benchmark where AI models are ranked through blind human evaluations. Grok’s new “Thinking Mode” scored 1483 Elo, a 31-point lead over every open model, beating Gemini 2.5 Pro and Claude 3. The upgrade also cut hallucinations (false answers) by two-thirds, expanded its context window to 2 million tokens, about 1.5 million words of memory, and dominated top reasoning and coding tests like, graduate-level logic, and the emotional intelligence aspect. U.S. traffic surged to 51.5 million visits, boosted by X integration and Grok’s unfiltered style. At just $0.20 per million input tokens, versus GPT-5.1’s $1.25—it’s winning with both speed and affordability. The momentum isn’t hype, it’s lift-off. If growth holds, Grok could reach 500 million users by mid-2026, forcing every rival to redefine what “intelligent” really means. To truthful AI winning! Source: X Freeze, NextBigFuture, CometApi, Langcopilot

Mario Nawfal

33,823 просмотров • 7 месяцев назад

Making OpenCode as lean as Pi agent? Just trimmed 25k out of OpenCode's system prompt (from 30k to 4-5k tokens) How? Just disable skills and get rid of massive skill definition bloat. Who needs skills anyway? Just kidding, this is the not the way. It makes the agent lame and defeats the point of using one. But it sets a precedent: Find a way to use skills without their definitions pre-loaded into the system prompt every single turn. Another interesting stuff: Upon testing this temporary "no skill setup" with two of hottest OpenCode Zen free models, Mimo V2.5 vs DeepSeek V4 Flash: One thinks more and talks less One thinks less and talks more Check the video to see which is which If you made it here, I'm finding a way to leanest OpenCode setup that I can get I simply don't believe that OpenCode can't be as lean as Pi Upon tinkering, I made a plugin that temporarily extracts the system prompt while I test, and noticed the hundreds of definitions in it from my .agents/skills directory which is shared across all my coding agents (Cursor, Antigravity, Claude, etc.) Of course disabling skills is not the answer, but it just proved that there is a way to strip the system prompt of these massive skill defs Aside from the system prompt hierarchy that injects confusion imo if you have a conflicting and redundant AGENTS.md which I discovered upon digging into OpenCode's source code Apparently it has prompt.ts/system.ts/instruction.ts/llm.ts and loads base .txt prompts based on model family (claude/gpt-o/gpt-5/codex/gemini/others) that all work together to make OpenCode aware of who it was and how it should use tools and become a "coding agent" Gotta find the most minimal mix that fits right into my workflow Make OpenCode as lean as Pi? We'll see. All in

raymel 👋

37,196 просмотров • 1 месяц назад

Claude Code + Nano Banana 2 is f*cking cracked 🤯 I built a skill inside Claude Code that writes JSON image prompts for Nano Banana 2, and the outputs look like they came from a professional photo shoot. One plain-text prompt. Claude rewrites it as structured JSON with lighting, camera, composition, style, and negative prompts. Then fires it off to Nano Banana 2. All inside Claude Code. Perfect for DTC brands and agencies who need high-volume ad creative without booking a shoot. If you're using Nano Banana 2 for product shots and lifestyle images but every generation feels like pulling a slot machine lever — random lighting, inconsistent style, plastic skin, misspelled labels ... This skill fixes the entire output: → You describe what you want in plain English → Claude rewrites it as a structured JSON prompt (lighting, camera angle, lens, depth of field, color grading — all of it) → Fires it to Nano Banana 2 via API → Saves the prompt + image in organized folders → You iterate on the style until it's dialed, then every output matches No more slot machine prompting. No more inconsistent brand imagery. No more burning credits on unusable generations. What you get: - Photo-realistic product shots and lifestyle images on demand - Full control over style, lighting, composition, and camera settings - Saved JSON prompts you can reuse across every campaign - A skill that gets smarter the more feedback you give it Built 100% in Claude Code with a custom skill + Python scripts. I put together a full playbook showing the exact skill, the JSON schema, and the workflow to set this up yourself. Want the full playbook? > Like this post > Comment "BANANA" And I'll send it over (must be following so I can DM)

NOVA

63,717 просмотров • 3 месяцев назад

Claude Code + Nano Banana 2 is f*cking cracked 🤯 I built a skill inside Claude Code that writes JSON image prompts for Nano Banana 2, and the outputs look like they came from a professional photo shoot. One plain-text prompt. Claude rewrites it as structured JSON with lighting, camera, composition, style, and negative prompts. Then fires it off to Nano Banana 2. All inside Claude Code. Perfect for DTC brands and agencies who need high-volume ad creative without booking a shoot. If you're using Nano Banana 2 for product shots and lifestyle images but every generation feels like pulling a slot machine lever — random lighting, inconsistent style, plastic skin, misspelled labels ... This skill fixes the entire output: → You describe what you want in plain English → Claude rewrites it as a structured JSON prompt (lighting, camera angle, lens, depth of field, color grading — all of it) → Fires it to Nano Banana 2 via API → Saves the prompt + image in organized folders → You iterate on the style until it's dialed, then every output matches No more slot machine prompting. No more inconsistent brand imagery. No more burning credits on unusable generations. What you get: - Photo-realistic product shots and lifestyle images on demand - Full control over style, lighting, composition, and camera settings - Saved JSON prompts you can reuse across every campaign - A skill that gets smarter the more feedback you give it Built 100% in Claude Code with a custom skill + Python scripts. I put together a full playbook showing the exact skill, the JSON schema, and the workflow to set this up yourself. Want the full playbook? > Like this post > Comment "BANANA" And I'll send it over (must be following so I can DM)

Mike Futia

211,364 просмотров • 4 месяцев назад

🚨 THIS HAS NEVER HAPPENED BEFORE 🚨 🚨NOBODY UNDERSTANDS WHAT THEY JUST TRIGGERED. 🚨 🚨 People always talk about Iranian oil in terms of barrels, but rarely about what’s actually inside them. That’s the key difference—and the reason Western refineries have quietly relied on back-channel networks through places like Dubai for years to keep getting it, even under sanctions. Crude oil isn’t all the same. It’s a mix of hydrocarbons with different molecular weights, and that mix determines how easily it can be turned into the fuels refineries actually sell—like gasoline, diesel, jet fuel, and heating oil. The main measure here is API gravity. Higher API means lighter crude that’s easier and cheaper to refine, and it produces more of those high-value fuels. Lower API means heavier crude that takes more energy, more processing, and more expensive equipment, while producing more low-value leftovers. Iranian Light crude sits right in a sweet spot, with an API gravity around 33–36 and moderate sulfur levels. It’s light enough to produce a lot of gasoline and middle distillates without high costs, but not so light that it limits what refineries can make. In industry terms, it’s close to an ideal blend. Now look at the alternatives. Venezuela’s Merey crude is much heavier, with very low API gravity and high sulfur. Refining it profitably requires specialized, expensive equipment like cokers and hydrocrackers. Some refineries are built for that—but it’s not interchangeable with Iranian crude. It’s a completely different type of input. On the other end, US West Texas Intermediate is very light and low in sulfur. Sounds perfect in theory, but in practice it’s almost too light. Many refineries—especially in Europe and Asia—are designed for medium-grade crude, so they can’t just switch to WTI. They often have to blend it with heavier oils to make it work. That’s where Iranian crude stands out. It fits right into the middle of the system. It doesn’t need the heavy-duty processing of Venezuelan oil or the blending adjustments required for ultra-light US shale. That balance is why it’s consistently in demand and often priced at a premium. It also explains why countries like India kept buying it despite sanctions, and why those complex trading networks through Dubai existed in the first place. The Strait of Hormuz isn’t just a route for oil—it’s a route for this specific kind of oil that global refineries are optimized to process. If that flow gets disrupted, it’s not just about losing supply. It’s about losing the type of crude the system runs most efficiently on, forcing refineries to adapt with less suitable alternatives. That’s what’s really baked into oil prices like $82—not just how much oil is available, but what kind it is.

A K Mandhan

3,645,445 просмотров • 3 месяцев назад