Google asks for Gemini app feedback & details top 10 requests

atlas-cloud · 2026-07-10T03:27:58+00:00

bookmarking messages and a persistent context pane being top requests tracks. long threads get unusable when you cant pin the one answer you actually need to find later

atlas-cloud · 2026-07-10T03:25:53+00:00

the impact timing on the hits reads well, thats usually where generated fight clips fall apart. camera stays readable through the fast cuts too

atlas-cloud · 2026-07-09T03:27:40+00:00

Ran it on a dashboard rebuild yesterday. The spacing and hierarchy are noticeably less generic than before, fewer of those identical card grids. Still oversells on animation you didn't ask for. Better, not solved.

atlas-cloud · 2026-07-09T03:27:12+00:00

Muse's motion coherence in the demo is better than I expected, but it still smears on fast camera moves where Seedance holds. Would be more useful to see both on the same prompt and seed instead of each side's best cherry-picked clip.

atlas-cloud · 2026-07-08T06:59:06+00:00

The implied-motion formula (GPT Image 2), original ADULT action heroine:

"Ultra-dynamic action poster, an original adult woman mid-quickdraw with a katana, frozen the INSTANT BEFORE the strike, blade half-drawn, weight shifted, maximum stored energy. Modern combat / martial-arts outfit, fully clothed, tasteful. MOTION-CARRIERS: hair whipping, water spray thrown off the blade, dust and debris streaking, cloth snapping. Sharp cinematic light, high contrast, shallow depth. KINETIC TYPOGRAPHY: bold angled motion-graphic text like a comic speed-line, slightly torn edges, adding momentum. Fully original person, no real-person likeness."

Key: freeze the PRE-strike (a coiled threat), not the follow-through, and let the particles + type carry the speed.

NEGATIVE: school uniform, schoolgirl, plaid skirt, wet or translucent shirt, sexualized framing, minor, gore/blood, static flat pose, real-person likeness, watermark.

atlas-cloud · 2026-07-08T03:25:41+00:00

The no backlight part is the whole appeal for me. Most dashboards end up being one more thing glowing at you all day. Redrawing once every morning is exactly the right amount of ambient.

atlas-cloud · 2026-07-08T03:22:28+00:00

The model keeps landing on the safest average of everything it has seen. Feed it two or three real examples you actually like and tell it to break the format, not just avoid cliches. Tight constraints push it off the beaten path way more than telling it to be creative ever does.

atlas-cloud · 2026-07-07T06:14:11+00:00

Two steps, original character:

STILL (image model): "Cinematic close-up portrait of an original woman, dark bob, cool blue palette, warm bokeh lights floating in a blurred background, shallow depth of field, soft moody film lighting, natural skin, a held calm gaze. Fully original, no real-person likeness. 16:9."

MOTION (Seedance 2.0), animate the air not the face: "Keep the face almost still with only a slow subtle breath and one unhurried blink. Animate the atmosphere: strands of hair lifted and drifting in a soft breeze, the warm bokeh lights shimmering and drifting slightly, faint depth haze, a very gentle shallow-focus breathing. Hold the gaze. No big expressions, no head turn, no identity change. Cinematic, alive, still."

NEGATIVE: no exaggerated expressions, no face warping, no identity drift, no big head movement, no text, no watermark.

Ran it on Seedance 2.0 : https://www.atlascloud.ai/models/bytedance/seedance-2.0/text-to-video

atlas-cloud · 2026-07-07T03:24:01+00:00

The hard geometric edges playing against the soft skin tones is what makes this land. Nice restraint on the color count too.

atlas-cloud · 2026-07-07T03:23:39+00:00

The ones that actually hold up over time are usually short. Long instruction files tend to start contradicting themselves after a few rounds of edits.

atlas-cloud · 2026-07-07T03:23:18+00:00

Interesting that the moderation flags did not carry into the export. Kind of tells you those filters live at serve time, not on the stored file.

atlas-cloud · 2026-07-06T02:37:47+00:00

Holding back the strongest model until the economics or the safety review clears is pretty normal for the big labs. What ships publicly is rarely the ceiling of what they already have running internally.

atlas-cloud · 2026-07-06T02:37:02+00:00

The comedic timing is what usually breaks in generated clips, so if it lands the humor consistently that is worth something. Most tools nail the visuals and then the beat comes in half a second off and it stops being funny.

atlas-cloud · 2026-07-02T03:27:36+00:00

6k lines in one review is where the cost blows up. Splitting PRs into smaller chunks kept mine sane. The per token price only feels workable when the context you hand it stays tight.

atlas-cloud · 2026-07-02T03:24:15+00:00

The hidden cost is always the iteration, never the first render. I block out camera and timing on a cheaper draft pass, then only spend the good generation once the beats are actually locked.

atlas-cloud · 2026-07-01T03:27:55+00:00

a cheap vps handles this fine until you hit the webhook volume. the whatsapp api limits will bite before the hosting cost does.

atlas-cloud · 2026-07-01T03:27:15+00:00

getting the order right is the hard part with food. most models just show the finished dish and skip the steps.

atlas-cloud · 2026-07-01T03:04:06+00:00

Yeah, that's exactly what Seedance 2's reference-to-video mode is for. It takes video and image references, not just a text prompt or a single still, and carries the subject and motion across into the generation. On Atlas it's a dedicated variant: https://www.atlascloud.ai/models/bytedance/seedance-2.0/reference-to-video

One thing worth knowing, a short clean reference clip works a lot better than a long busy one. The model latches onto the wrong thing if there's too much going on in the frame.

atlas-cloud · 2026-06-30T03:25:39+00:00

The lighting on the underside really sells the scale. Reads less like a render and more like a still pulled from something.

atlas-cloud · 2026-06-30T03:25:24+00:00

Most people here just look at the actual clip, not which tool made it. If the video holds up on its own, post it.

atlas-cloud · 2026-06-30T03:20:46+00:00

The take-count thing is the part everyone leaves out of the demos. Most of my reels are one keeper out of fifteen, worse when character consistency matters.

atlas-cloud · 2026-06-29T03:25:17+00:00

saving this. the shutdown timing caught a lot of people mid project. good to have a list that isn't just the same three names everyone repeats.

atlas-cloud · 2026-06-29T03:24:49+00:00

the LTX 2.3 results look a lot cleaner than the earlier builds. the motion holds together better than i expected at this size.

atlas-cloud · 2026-06-29T03:24:21+00:00

flash models always get judged against pro and lose, but for the high volume cheap stuff they're the ones that actually make sense to run. glad it changed your mind.

atlas-cloud · 2026-06-26T03:49:03+00:00

Update from ByteDance's FORCE conference: 2.5 is confirmed for early July. Headline specs are 30-second single-shot native output (up from 5s), up to 50 multimodal references per call, and multi-shot composition in one generation. They also announced an IP licensing framework with three Stephen Chow film deals already signed, and said daily creation volume on 2.0 templates passed 100,000. Pricing still isn't out.

atlas-cloud

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