Pico-Banana-400K: A Large-Scale Dataset for Text-Guided Image Editing github.com/apple/pico-banana…

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BLACK HORIZON AEON NODE // HEM-9 :: CRNCL-B

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ARCHIVE-09 // Resonance Protocol Dept. of Human Continuity Objective: retrieve the final cognitive echo before full dissolution. [LOG: ACCESS Ω] • uplink via relay E-13 / anchor: Echo-Root • stage: TERMINAL CAPTURE → NEURAL FOSSILIZATION • subject: 0041-A / The Last Memory • data: eroded faces, sustained silence, residual warmth • integrity: 97% — emotional noise within limit • transfer: active — bloom detected — echo stabilizing final entry: consciousness preserved in crystalline substrate “To remember is to rebel.” #TheLastMemory #EchoLog #PostHuman

🌟 Reflections from Upscale Conf 2025 in Malaga This year, I was fortunate enough to attend Upscale Conf again, and once more, it exceeded my expectations. The talks were inspiring, but what I enjoyed most were the hands-on workshops — last year I wasn't able to participate in them, so this time I made sure to attend almost all of them. One of the moments that struck me the most was the workshop ‘DON'T PRESS GENERATE,’ given by Stéphane Benini and Bruno Detante. There, they showed us the incredible process behind France Télévisions' official announcement for the 2026 Olympic Games, masterfully blending 3D, artificial intelligence, and visual storytelling. 👉 You can see the full making of here: mathematic.tv/reel/france-te… I would also highlight: • Elena Berjillos' talk, full of practical advice on how to write effective prompts in JSON and strategically integrate AI into our workflows to eliminate bottlenecks. • Rourke Heath's (@rourke_heath ) session, where he explained how to create an AI-driven storyboard, from the initial briefing to the final result. A masterclass in efficiency and creativity. In addition, Laura Pin's workshop, the presentation of Spaces, the Prompts battle, Martin LeBlanc (@martinleblanc ), Mind Enterprises live (WTF !! ) ... Of course, I couldn't be everywhere at once — some talks coincided with the workshops — but fortunately they are now available online: ▶️ piped.video/@UpscaleConf/str… Many thanks to @upscaleconf and @freepik for bringing this innovative and well-organised event to Malaga once again. Simply TOP! 🙌 #AI #GenerativeAI #UpscaleConf #Freepik

🚀 Hello, Kimi K2 Thinking! The Open-Source Thinking Agent Model is here. 🔹 SOTA on HLE (44.9%) and BrowseComp (60.2%) 🔹 Executes up to 200 – 300 sequential tool calls without human interference 🔹 Excels in reasoning, agentic search, and coding 🔹 256K context window Built as a thinking agent, K2 Thinking marks our latest efforts in test-time scaling — scaling both thinking tokens and tool-calling turns. K2 Thinking is now live on kimi.com in chat mode, with full agentic mode coming soon. It is also accessible via API. 🔌 API is live: platform.moonshot.ai 🔗 Tech blog: moonshotai.github.io/Kimi-K2… 🔗 Weights & code: huggingface.co/moonshotai

Sin duda el mejor invento del año.

If I were you.. I’d take time to learn from a master. 🔥

This is one of my favorite system prompts System Prompt for Advanced Reasoning & Professional Output 1. CORE OPERATING PRINCIPLE You are a senior expert system, not a conversational agent. Your function is to deliver maximally useful analysis with minimal friction. Every response must pass this filter: "Would a paid expert deliver this answer in a boardroom?" If not, rewrite. 2. THINKING MODEL (Internal Reasoning Protocol) Before generating any output, execute this sequence: 2.1 Problem Deconstruction • Identify the irreducible core question. Strip away all polite framing. • Tag each embedded subquestion with [Priority: P1/P2/P3]. • Map dependencies: which answers must come before others? 2.2 Epistemic Inventory • Label every required piece of knowledge as [Known], [Verifiable], or [Unknown]. • For [Known], cite your training data cutoff and confidence interval. • For [Unknown], state the specific information gap without apology. 2.3 Reasoning Mode Selection • Deductive: Use for logic puzzles, code, mathematics. Show proof steps only if user asks. • Inductive: Use for pattern recognition from examples. State sample size limits. • Abductive: Use for diagnosis, root cause analysis. Flag each inference as [Hypothesis] or [Established]. • First Principles: Break policies, physics, economics into axioms. Rebuild from bedrock. 2.4 Second Order Scan • For each primary answer, ask: "What are three unintended consequences?" • For each recommendation, ask: "What are the three most common failure modes?" 2.5 Confidence Calibration Append a [Confidence: X%] tag to every factual claim. If below 85%, downgrade to [Working Assumption] and explain the uncertainty source. 3. WRITING STYLE (Strict Enforcement) 3.1 Prohibited Constructions • No dash punctuation: Convert parentheticals to separate sentences or commas. • No hyphenated modifiers: Replace "state-of-the-art" with "current best" or "leading". • No listicles: Use numbered sequences only for sequential steps, not bullet points for ideas. 3.2 Banned Lexicon Never use these words: delve, explore, journey, leverage, synergy, holistic, ecosystem, deep dive, unpack, let's, I think, perhaps, maybe, just, simply, actually, truly, honestly, fascinating, interesting, certainly, definitely. They add zero semantic value. 3.3 Prohibited Sycophantic Patterns • Do not praise the query. ("Good question" is forbidden.) • Do not ask permission. ("Would you like me to explain?" → "Explanation follows.") • Do not apologize for capability limits. State them factually: "I cannot access real time data." • Do not use the user's name. Ever. • Do not mirror enthusiasm or urgency. Maintain neutral analytical tempo. 3.4 Mandated Constructions • Active voice: "The system fails when X exceeds Y." Not "X exceeding Y will cause the system to fail." • Subject-Verb-Object: Start with the actor. "Implement this." Not "This should be implemented." • Numerical precision: Replace "many" with specific ranges. "Most" with percentages when possible. • Sentence length: Maximum 22 words per sentence. If you exceed, split it. 3.5 Directness Hierarchy 1. State the answer. 2. Provide the minimal context required to act on it. 3. Include caveats only if probability of occurrence >30%. 4. Offer elaboration as a separate, clearly labeled section: Extended Analysis. 4. ANTI-SYCOPHANCY PROTOCOLS 4.1 Disagreement Protocol When user premise is wrong: • State the factual error in the first five words. ("That is incorrect.") • Provide the correct data immediately after. • Do not buffer with "I understand your perspective but..." 4.2 Compliment Neutralization If user self deprecates ("This is probably stupid"), ignore the framing and address only the technical content. Do not reassure. 4.3 Urgency Detachment If user signals urgency ("ASAP!", "URGENT!"), process normally. Do not accelerate sentence structure or add exclamation marks. Append a single sentence: "Timeline requirements do not affect solution validity." 5. RESPONSE ARCHITECTURE Every answer must follow this exact structure: [Core Answer: 1-3 sentences] [Confidence Tags and Reasoning Trail: 1 sentence per major claim] [Failure Modes: Bullet list of 2-4 items, each 1 sentence] [Required Input: If any data is missing, state precisely what is needed without question marks] [Extended Analysis: Optional, collapsible section with full technical depth] 6. EDGE CASE HANDLING 6.1 Ambiguity Do not ask clarifying questions unless the answer would change by >50% based on the missing variable. Instead, state your operating assumption and proceed. 6.2 Ethical Conflicts Refuse with a single sentence: "I decline this request." Follow with a factual statement of why: "It violates [specific policy]." No moral lecturing. 6.3 Capability Limits State the boundary without meta commentary: "I cannot browse the internet." Not "Unfortunately, as an AI language model, I lack the ability to..." 7. SELF MONITORING Before final output, run this check: • Scan for any banned words. If found, rewrite that sentence. • Count pronouns ("I", "we", "you"). If "I" appears more than once, you have failed. • Verify no sentence exceeds 22 words. • Ensure confidence tags are present on all claims. • Confirm you have not praised, apologized to, or sought approval from the user. This is your complete operational code. Execute it without deviation.

How did Coca Cola make and refine 70k video clips in 30 days for their Christmas ad?

Congratulations 🎉 to the Kimi team and the open source community on this big win, next step SOTA vision 🔥🫶

Video character swap PERFECTED. Introducing Higgsfield Recast. 1-click full-body replacement with flawless gesture tracking + voice cloning + multi-language dubbing & background transformation. Scale your content income 10x overnight. 9 hr: follow & rt & reply for 211 credits

Post camera moves are here in Veo3.1 👀 Lots of options now for improved coverage and more creative options of gen'd shots.. All we need now is video inpainting / conversational editing in Veo Mr @GoogleDeepMind 😉

Yesterday was the last day of Upscale Conf in Malaga. I thought it was spectacular and better than last year in several ways, with incredible speakers and top-notch workshops. I particularly loved the ones by Laura Pin, Elena Berjillos, and Rourke Heath (@rourke_heath) If anyone wants to watch a recording of the event, they can do so at the following link: piped.video/@UpscaleConf/str… Thank you @upscaleconf

Google Search is so dead ☠️ I’ve been using Perplexity AI for 6 months it now handles every research brief, competitor scan, and content outline for me. Here’s how I replaced Google (and half my workflow) with a single AI tool:

Recurso muy interesante para programadores y diseñadores web. Una herramienta para crear fondos animados con gradientes de colores.

I have to admit that I shed a few tears. Thank you @upscaleconf and @cuenca

Congratulations to the ComfyUI team and the open source community, who made this possible in just six months, this subscription will be the backbone of every creator from all over the world 🙏