May 29, 2026Video

Google fixes several bugs in Gemini usage limits that burned through quotas too fast

Google has addressed multiple bugs in the Gemini app that were incorrectly depleting users' monthly usage quotas far faster than intended. The most significant issue involved the Imagen-powered Omni video feature, where generating just one or two clips could exhaust an entire quota allotment - a clear sign that the cost accounting behind the scenes was miscalculated rather than reflecting actual resource consumption.

As part of the fix, Google has doubled the number of video generations available to Gemini Ultra subscribers, which suggests the original quota was already set too conservatively even before the bug compounded the problem. The company has also stopped billing users for requests that fail outright, a practice that had drawn frustration since users were losing quota credit for content they never actually received.

These kinds of quota bugs matter more than they might initially appear. As generative video becomes a more routine part of AI-assisted workflows, predictable and accurate usage tracking is necessary for users to plan their work and for Google to maintain trust in its subscription model. When quotas behave erratically, users have little basis for understanding what they can actually do within a given billing period.

Google says it also plans to introduce greater transparency around usage limits more broadly, though specifics on what that will look like have not been detailed yet. For now, the immediate fixes should give Ultra subscribers a noticeably more generous and reliable experience with Omni video generation going forward.

Read at The Decoder →

Share:X

Enjoy this story? Get the next one in your inbox.

Twice a week: the most important stories in generative image and video AI, distilled into a 2-minute read.

Free. Unsubscribe any time. No spam, ever.

Your next read

August 3, 2026Video

China's MiniMax H3 is the first open model to top an AI video ranking

Chinese AI company MiniMax has released the weights for its H3 video generation model, marking the first time an open model has claimed the top spot on a major AI video benchmark ranking. The release is a notable moment for the open-source side of the generative video space, which has largely been outpaced by proprietary offerings from companies like OpenAI, Google, and Sora competitors. H3's rise to the top of the leaderboard signals that the gap between closed and open video models may be narr

August 2, 2026Video

Is paying artists enough to convince them to embrace AI?

A new wave of AI startups is attempting to address longstanding concerns from the illustration community by compensating artists whose work is used in model training. Pippa is one such company, positioning itself as a more ethically grounded alternative to competitors that have trained on unlicensed work. Whether financial compensation alone is enough to shift artist sentiment remains an open question.

August 1, 2026Video

Snap and LinkedIn are fighting back against a flood of low-quality AI content

Snap and LinkedIn are both taking steps to curb the spread of low-effort AI-generated content on their platforms. Snap is blocking AI-generated videos from its Spotlight feed, while LinkedIn has introduced a dedicated reporting option for what many users call "AI slop." The moves reflect growing pressure on social platforms to maintain content quality as generative AI tools become more accessible.