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AI’s progress in 2025 was largely a continuation of trends that were already taking shape in 2024 (download the 2024 Backward Pass here). Toward the end of 2024, we flagged the emergence of Chinese models such as DeepSeek and Qwen as credible competition to their Western counterparts.
To many power users (Pro and Plus), GPT5 was a disappointing release. But with closer inspection, the real release is focused on the vast majority of ChatGPT’s users, which is the 700m+ free userbase that is growing rapidly. Power users should be disappointed; this release wasn’t for them.
MemSAM is a new video segmentation model designed for echocardiography, built on top of the SAM architecture. It is designed to address specific issues related to the application of SAM to echocardiography and video segmentation more broadly, versus image segmentation.
Crafting good system prompts is one of the trickiest parts of working with language models — especially when you’re dealing with complex, multi-step tasks. Doing it manually doesn’t scale, and the results are often hit-or-miss.
Explore the power of Text-Based Image Editing with the Inpainting from Text Prompt template. Learn how to use it, compare its advantages, and discover practical use cases for seamless editing.
The original report in PDF can be downloaded here: https://translinkcapital.docsend.com/v/c98t5/backward_pass
In this article, we will explore SAM 2, which expands the capabilities of the original SAM to handle both images and videos. It excels in real-time object segmentation, enabling dynamic interaction through prompts and memory attention.
This essay first appeared in Reboot. Credulous, breathless coverage of “AI existential risk” (abbreviated “x-risk”) has reached the mainstream. Who could have foreseen that the smallcaps onomatopoeia “ꜰᴏᴏᴍ” — both evocative of and directly derived from children’s cartoons —
Get the latest ChatGPT stats for your article. Stats like: Has over 180.5 million users · Costs $700K per day to run and operate
By sharing our research and dataset, we hope to further accelerate research into segmentation and more general image and video understanding.
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