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Stand at the threshold of this Neo-Classical Door Interior study from 3D Environment Artist Stefano Cardia🚪 Inspired by North Italian and French villas/museums, the study was done to explore Stefano's application of complex shapes and ornamentation that could be rendered in high res using Unreal Engine. Check out more of the project over on Stefano's ArtStation:

Made with seedance 2.5 Prompt: Create a 30-second, 1080p ultra-realistic personal home-video showing a young Korean woman attempting to film an "aesthetic" café vlog for her social media and everything comically not going to plan. No reference image. MAIN SUBJECT Young Korean woman in her early 20s, trendy and put-together look, dewy makeup, confident expression that keeps cracking into laughter. Straight black hair with curtain bangs, small gold hoop earrings, soft pink lip tint. Wearing an oversized cream sweater, a plaid mini skirt, chunky white sneakers, and a small quilted shoulder bag she keeps adjusting for the "shot." Maintain the same face, hairstyle, clothing, body proportions, and appearance throughout the entire video. SETTING A charming autumn café street in Seoul on a crisp, sunny afternoon. A cozy corner café with outdoor seating, string lights, a chalkboard menu, falling ginkgo leaves, a latte art station visible through the window, a bicycle propped against a brick wall, pedestrians occasionally walking through frame, and a small tree dropping leaves onto the sidewalk table. Warm, golden, Pinterest-looking — until it isn't. CAMERA / VISUAL AESTHETIC Raw personal footage, filmed by her friend who keeps trying (and failing) to make it look cinematic, strong handheld vlog shake throughout. The video oscillates between deliberately "aesthetic" attempted shots — slow pans, artful angles, soft focus — and sudden chaotic handheld jolts when things go wrong. Autofocus hunts comically between her face and the latte. Camera tilts and overcorrects. Exposure blows out when it swings toward the sun. Mild motion blur during quick recoveries. Slightly warm, oversaturated color grade like a try-hard Instagram filter that keeps slipping back to raw reality. No stabilization, no real cinematic polish — the "aesthetic" is aspirational, the execution is not. 00:00–00:05 — THE PERFECT LATTE SHOT (ATTEMPT) She sits at the outdoor table, carefully positioning a latte with foam art, trying to casually "candid" sip it for the camera. The camera does a slow artful pan down toward the cup — then a leaf falls directly into it with a soft plop. She freezes, staring at the ruined latte art, deadpan. 00:05–00:10 — REACTION She looks up at the camera, unimpressed, leaf still floating in the foam. "...Are you kidding me right now." The friend behind the camera bursts out laughing, shaking the frame violently. 00:10–00:15 — THE "CANDID" WALK She gets up to attempt a slow-motion aesthetic walk past the café window, hair flowing, sunglasses going on in one smooth motion — sunglasses immediately get caught in her hair. She stops mid-stride, wincing, trying to untangle them one-handed while still smiling for the camera. The camera zooms in awkwardly close on the tangled sunglasses, then yanks back out. 00:15–00:20 — BICYCLE MISHAP She leans against the parked bicycle for a "casual candid lean" pose, one hand in her pocket. The bicycle kickstand gives way and it slowly tips sideways, taking her balance with it. She stumbles but catches herself, laughing hard, one hand up defensively toward the lens. "Okay, delete that, delete that!" 00:20–00:25 — GINKGO LEAF CHAOS She tries to recreate a "leaves falling around me" cinematic moment by tossing a handful of gathered ginkgo leaves into the air above her head. A gust of wind blows them straight back into her face instead. She spits out a leaf, blinking, completely unbothered and giggling. The camera shakes as the operator nearly drops it laughing. 00:25–00:30 — FINAL MOMENT She gives up on the aesthetic altogether, plops back down at the café table, and grabs the leaf-ruined latte anyway, taking a defiant sip through the foam. She looks dead into the camera, deadpan, leaf still stuck to her sweater. "This is the content. This is it. Post this one." She gives an exaggerated thumbs up as the frame shakes with the friend's laughter, and the footage cuts abruptly to black. AUDIO Natural location sound only: Café ambience, cup clinking, leaves rustling, wind gusts, bicycle clattering, footsteps, her friend's audible laughter throughout, fabric rustling, and handheld camera noise. No music. No narration. No artificial sound effects. Spoken lines: "...Are you kidding me right now." / "Okay, delete that, delete that!" / "This is the content. This is it. Post this one." FINAL FEEL A self-aware, comedic behind-the-scenes of someone trying to film an aesthetic vlog and getting completely humbled by reality at every turn — warm, golden autumn light paired with genuine, unscripted chaos and laughter. No posed perfection sustained for more than a few seconds before something goes wrong. No exaggerated slapstick acting — the comedy comes from real reactions, real mishaps, and the gap between the "vision" and what actually happens on camera.

Some quick data on mainnet attestation propagation. Noticeable improvements since @misilva73 's post from last year! → Once a block is released on the network, attesters cast a vote on it. These votes are then aggregated into "summary votes", and included in the following block. All of this (block release, attestation release, aggregation release) must fit within 12 seconds, today's block time. → The plot here measures the time that attestations are first seen by a network of sentries operated by @ethPandaOps, relative to the first-seen time of a newly released block, or 4s if the block was missed. → Orange curve (2026) is left of the blue curve (2025), meaning that attestation propagation time has broadly decreased on the network. This is great! → The curve shows some bimodality: two clusters of arrival times. 1. The first could be described as "normal behaviour": vote when the block is received, or vote when the 4s deadline hits before a block is received. 2. The second cluster mostly relates to nodes that vote at 4s even when they receive the block before the deadline. Some clients implemented this behaviour even if this was contrary to the specs. Some nodes may have been playing attestation timing games. → The good news: The first cluster used to cover ~50% of arrivals (high slope until a lil bend around 50%). Now the first cluster covers close to 80% arrivals! More nodes are more timely ⏰ → What explains it? More clients have implemented the right voting behaviour of releasing votes as soon as the block is received. → The good news 2: The first cluster got even faster! The fastest 50% of attestations in 2026 are faster than the fastest 50% of attestations in 2025. → What explains it? Performance improvements and a more consolidated validator set (close to ATH, 1.1 million validators during the 2025 analysis; now more than 10% smaller) likely explain most of the overall improvement. Overall this is tailwinds for faster slots. With our 10-second target for Hegotá, no improvement to attestation propagation could have still been good enough, given that ePBS in Glamsterdam pipelines the block propagation between beacon and execution, leaving more time for attestations and aggregations to propagate. That said, better attestation propagation benefits both future consensus and networking updates, such as decoupled consensus, as well as latency of the fast confirmation rule, on top of giving more breathing room for nodes located at the edges of the gossip network, ensuring geodecentralisation.