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Many of you have been wondering what happened after the Kickoff with @FNATIC, so I wanted to make a thread and explain everything. This thread is about my comeback, but also a chance to thank those who supported me behind the scenes. Back in November, realizing my dream of playing for FNATIC filled with a lot of joy. The off-season, the Kickoff, the adrenaline, the team... It was all there. But beneath the performances, my body and mind began to give way. Shortly after, I had to face health issues I’d never experienced before - pain, fatigue, sleepless nights. At the same time, I was hit hard by personal struggles. I had to put everything on hold. Even my dream of playing VALORANT at the highest level. It took time to accept, but I realized one thing: physical and mental health come first. I’ve been seeing doctors, working with specialists, and most importantly, learning to listen to myself. It wasn’t easy, there were doubts and moments of discouragement. But I fought through it. Today, I’m doing better, and I’m back. But one thing is certain - I’m not done with VALORANT. A huge thank you to @FNATIC, my teammates, my immediate family, and all of you. Your messages and support carried me through the tough times. I’m coming back stronger, more mature, and above all, with limitless determination.

I updated my 2023 roadmap diagram to overlay where the items that were there sit in the current Strawmap ( ). In general, a lot of overlap, but: * Some things got reshuffled in order (eg. quantum safety up-prioritized) * Some things deprioritized (eg. VDFs; many EVM improvements) * Some things replaced with superior constructions (eg. Verkle -> unified BT -> PBT; state expiry -> new state types) What's most striking, however, is that some completely new things are in the strawmap that are NOT in this diagram, because they were not in the 2023 roadmap at all. These reflect changing priorities. Notably: * First-class attention to strong privacy. This covers: keyed nonces and recent roots, aspects of FOCIL, lean privacy pool & wormholes * Aggressive scaling in the context of post-quantum. This covers: leanSPHINCS signatures and aggregation, zkzk frames (see ) * Lean-ification of the spec, to assist in formal verification (full FV of everything is only possible because of modern AI) * Blob and gas futures (this idea just didn't exist back in 2023) * Native rollups (SNARKs were nowhere near mature enough to even consider this back in 2023) * A more open design space for the "future of the EVM". zkzk frames already implies that the protocol will expose to users some ISA that's not the EVM - current leading candidates are leanISA and RISC-V. These ISAs are more simple, modern and efficient than the EVM. Once they're there, why not expose them to developers everywhere? (And then, why not turn the EVM into being an IR on top of that ISA, instead of an enshrined feature massively complicating the base protocol?) Though much of the deeper exploration here is too early even for the strawmap. * New state types are not just a replacement for expiry, they're a fundamentally different paradigm to how Ethereum does scaling A common theme in scaling, found in both state types and zkzk frames (both new ideas), is that instead of trying to maximally scale ALL ethereum activity, we try to create specialized mechanisms that have more restrictive properties that make them more scaling-friendly, while supporting the heaviest loads incurred by users and applications today (eg. token transfers, swaps) and tomorrow (eg. privacy protocols). The other common theme is treating STARKs and AI-accelerated FV as first-class objects, that we are okay betting the technical future of Ethereum on. There are recursive STARKs in many layers of the protocol, one particular primitive (the "aggregate to union verified dependencies" primitive) is expected to be used in *three* places in the protocol: EL, CL and DL. This can only be safe with formal verification, which is itself only feasible with modern AI tools. In general, many steps forward in maturity. And a huge amount of hard work by many dozens of Ethereum researchers and developers on all of these features. Ethereum will be quantum-safe. Ethereum will put users' privacy first. Ethereum will be secure. Ethereum will be censorship-resistant. Ethereum will be highly performant and scalable while satisfying the above. And Ethereum will be Lean.

Seedance 2.5 Prompt: Create a 30-second ultra-realistic candid home-video sequence of a young Korean woman in her early 20s living an ordinary late morning in a quiet Korean residential neighborhood. SUBJECT: Young Korean woman, natural everyday appearance, realistic skin texture, minimal makeup, black wavy hair in a messy side ponytail with wispy bangs. Faded charcoal-grey sleeveless crop top, loose high-waisted light-wash jeans, black canvas sneakers, simple black cord necklace. Warm, relaxed personality. Keep her face, body, hairstyle, clothing, and appearance perfectly consistent throughout. SETTING: Authentic Korean residential neighborhood — narrow concrete alleys, low-rise homes, small terraces, potted plants, laundry lines, bicycles, utility poles, overhead wires and mature trees. Quiet, lived-in atmosphere. No shops, advertisements, crowds, cafés, or commercial activity. VISUAL STYLE: Ultra-realistic documentary home-video footage from an early-2000s consumer DV camcorder. Imperfect handheld operation, natural camera shake, awkward framing, occasional reframing, autofocus hunting, slight lens breathing, exposure pumping between sunlight and shade, subtle motion blur, mild rolling shutter, faded colors, soft contrast, slight digital compression and sensor noise. No stabilization, no cinematic camera moves, no modern color grading. Everything must feel genuinely captured, not AI-generated. TIMELINE: 00:00–00:05 — Outside her small house, she sits on a low concrete wall adjusting her messy ponytail. Wind moves loose strands of hair. She casually smiles while the camera struggles to lock focus. 00:05–00:10 — She walks into a narrow residential alley. A stray cat approaches. She crouches naturally, pets it and gently feeds it. Autofocus shifts imperfectly between her face and the cat. 00:10–00:15 — In a small front yard, she hangs laundry on a clothesline. Fabric moves naturally in the breeze while sunlight and cloud shadows subtly change the exposure. 00:15–00:20 — She sits on a quiet terrace with a simple ceramic coffee cup, casually watching the neighborhood and brushing loose hair behind her ear. Handheld side angle with natural camera drift. 00:20–00:25 — Close side profile. Someone off-camera casually greets her. She turns, smiles warmly, raises her hand and naturally says, “Annyeong.” The camera reacts slightly late. 00:25–00:30 — She walks slowly down a tree-lined residential lane holding her coffee. She notices the camera, gives a small genuine smile, then looks away and continues walking. The recording abruptly cuts to black mid-motion like an old camcorder being switched off. AUDIO: Only authentic location sound: birds, distant motorcycles, light wind, rustling leaves, faint neighborhood chatter, cat sounds, footsteps on concrete, laundry moving on the clothesline and subtle residential ambience. Natural Korean speech only. No music, narration, cinematic sound effects, or artificial sound design. GOAL: Make it feel like a forgotten personal home video from the early 2000s — intimate, spontaneous, imperfect, warm, mundane and deeply believable. Prioritize realistic human motion, natural facial expressions, physical interaction, environmental detail and consistent identity over cinematic beauty.

5. Even after 9 years of growth, one of the industry’s biggest unresolved challenges is still trust at scale — how to make digital assets more secure, more intuitive, and more accessible for billions of people across very different markets and regulatory environments. That is not a challenge any one company solves overnight. But what we are doing today is continuing to invest in the fundamentals: stronger security, better compliance frameworks, more resilient infrastructure, and simpler user experiences. At the same time, we are working to help the industry mature in a way that protects users while preserving the innovation that makes this space so powerful. The opportunity ahead is enormous, but long-term leadership comes from solving hard problems responsibly. That is where our focus remains.

Zhu Xinmei, Director & Research Fellow, Institute of International Communication, Development Research Center, National Radio and Television Administration of #China#, holds the view that #shortdramas# have developed into a mature industry, offering new opportunities for traditional media and overseas IP owners. Film and television institutions can leverage their #storytelling# expertise to shift into AI-generated short dramas. While AI expands the range of creative themes, stories with universal human appeal remain the core of communication.

While many of the world's brightest engineers were focused on building the best humanoid robots possible, PITN focused on building something different—a multilingual digital asset gateway designed for the emerging humanoid robotics ecosystem. Every transformational technology has had a moment when the market underestimated its importance. The internet.
Smartphones.
Artificial intelligence. Humanoid robotics may be approaching that same moment. PITN has assembled a portfolio of 500+ robotics and AI digital assets spanning the world's top 30 languages, including exact-match digital assets. Here's the question: When will a major robotics company have its "aha" moment and realize that a gateway they can leverage already exists? In any specialized industry, connections tend to tighten as the ecosystem matures. When humanoid robotics evolves into the global industry many expect, the paths between innovators, brands, and digital identity may become increasingly interconnected. The future is multilingual. The future is voice activated. 
The future is .HUMANOIDS WEB3. The future is POWER IN THE NUMBERS! For investor relations inquiries, DM #engineer# #TechCulture# #HumanoidRobotics# #AI# #Robotics# #DigitalAssets# #FutureTech# #Innovation#

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After 3-4 months of iteration, Open Minis — "possibly the best Agent app on your phone" — has stabilized into a mature architecture, now powering tens of thousands of users' daily workflows. Today we're open sourcing all of it: the full iOS and Android code. A real on-device AI agent: a native Linux shell, browser automation, extensible skills, persistent memory, and deep system integration. Now, fork it, feel free to build your own on-device agent now. 🤗