Sundar Pichai said that within 72 hours of Google's Argon going live, usage approached 25 trillion tokens, roughly 3 times the usage of Gemini 3.0 over the same period. He also mentioned that the model is currently being served, but compute capacity is limited. The remarks came from a video on Alex Kantrowitz's YouTube channel.
Matched fieldsSummary
On October 21, 2026, Meshy introduced its Make Printable feature. According to a post published by Meshy, the feature only thickens weak areas in the model while preserving the remaining details, and supports one-click repair of holes and non-manifold edges. The post also includes a complete tutorial video from a 3D printing expert. Currently, the feature is still at the introduction stage, and there are no subsequent development facts.
Matched fieldsSummary
As a unified API gateway, Flatkey supports calling multimodal models in Codex and Claude Code via CLI. According to a report dated October 21, 2026, the gateway can call text models such as GPT, Claude, DeepSeek, GLM, and Kimi, as well as image and video models such as GPT Image and Seedance; users can access 100+ official models and 1,000+ tool APIs with a single Key, with costs consolidated into one bill. The report also states that its everyday prices are at least 20% lower than official pricing; during the October 19–23 promotion, GPT, GLM 5.2, Kimi K3, and DeepSeek are 40% off, Claude is 20% off, and Seedance 2.0 is 15% off. There are currently no subsequent developments.
As a unified API gateway, Flatkey supports calling multimodal models in Codex and Claude Code via CLI. According to a report dated October 21, 2026, the gateway can call text models such as GPT, Claude, DeepSeek, GLM, and Kimi, as well as image and video models such as GPT Image and Seedance; users can access 100+ official models and 1,000+ tool APIs with a single Key, with costs consolidated into one bill. The report also states that its everyday prices are at least 20% lower than official pric
Matched fieldsSummary
On October 21, 2026, Meta published a paper pointing out that the failure point of proactive assistants (such as AI glasses) lies in autonomously judging when to speak, not just what to say. The team built the ProPerMem benchmark, using first-person video paired with interference-rich full-year memories averaging 618K tokens, and featuring manually verified trigger windows. The paper reports that all baselines scored at most 15%, even frontier models using retrieval-augmented memory; when oracle evidence was provided within the window, GPT-5.3-Chat reached 96%, but when it was left to choose the timing itself, this dropped to 38%, and after adding retrieval it fell to 15%. Grasping both content and timing while reducing trigger frequency can raise accuracy from under 10% to 42.4%. The work is currently released as a paper, with no subsequent progress yet.
On October 21, 2026, Meta published a paper pointing out that the failure point of proactive assistants (such as AI glasses) lies in autonomously judging when to speak, not just what to say. The team built the ProPerMem benchmark, using first-person video paired with interference-rich full-year memories averaging 618K tokens, and featuring manually verified trigger windows. The paper reports that all baselines scored at most 15%, even frontier models using retrieval-augmented memory; when oracle
Matched fieldsSummary
Viggle AI announced that the JST-2 model is now available on its API, and that the model can generate 3D characters, motions, and scenes within a single architecture. Previously, on October 20, 2026, Viggle released JST-2, building the entire model stack in 3D space and representing the world with Physics-Native Tokens that carry xyz coordinates, attribute vectors, and dynamics vectors, rather than implicitly inferring physical laws from video pixels; the architecture is divided into three parts: the JST encoder, the JST generator, and the JST decoder, and a single forward inference generates a complete 3D scene in about 1 second at a cost of less than $0.01 (B200), and supports up to 64 input views as a spatial context window. Blind human preference tests published by Viggle show that for character generation it achieves a 58.4% win rate against Meshy 7.1 and a 73.2% win rate against Tripo H3.1, and for video-generated motion it achieves an 89.1% win rate against DeepMotion. Viggle AI previously described JST-2 as a "full-stack physics-native world foundation model" that can generate 3D scenes in seconds and extend them in real time. JST-2 is currently available externally through the API.
Viggle AI announced that the JST-2 model is now available on its API, and that the model can generate 3D characters, motions, and scenes within a single architecture. Previously, on October 20, 2026, Viggle released JST-2, building the entire model stack in 3D space and representing the world with Physics-Native Tokens that carry xyz coordinates, attribute vectors, and dynamics vectors, rather than implicitly inferring physical laws from video pixels; the architecture is divided into three parts
Matched fieldsSummary
On October 20, 2026, PyTorch 2.15 added support for torch.float8_e4m3fn tensors on the MPS backend. Reporting from the same source also mentions that this version makes MoE model decoding 5–6.5 times faster than 2.14: on an M3 Ultra with torch.compile, Qwen3.6-35B-A3B improved from 9.4 tokens/s to 61.3 tokens/s, and LFM2.5-8B-A1B improved from 23.6 tokens/s to 123.6 tokens/s. The report states that Wan2.2's tiled VAE video decoding peak driver memory dropped from about 270 GiB to 8 GiB; the image corruption issue in Qwen-Image-2.1's VAE encoding on MPS was also fixed with a padding change, with encode-decode round-trip PSNR rising from 10.06 dB to 29.95 dB. This version requires macOS 15 or later and Python 3.11 or later. There are currently no subsequent independent developments.
On October 20, 2026, PyTorch 2.15 added support for torch.float8 e4m3fn tensors on the MPS backend. Reporting from the same source also mentions that this version makes MoE model decoding 5–6.5 times faster than 2.14: on an M3 Ultra with torch.compile, Qwen3.6-35B-A3B improved from 9.4 tokens/s to 61.3 tokens/s, and LFM2.5-8B-A1B improved from 23.6 tokens/s to 123.6 tokens/s. The report states that Wan2.2's tiled VAE video decoding peak driver memory dropped from about 270 GiB to 8 GiB; the imag
Matched fieldsSummary
On October 21, 2026, Voxel51 released version 3.0 of its data platform, targeting robotics and physical AI scenarios. According to Robotics & Automation News, the platform integrates the search, organization, annotation, and evaluation of robot multi-camera, video, and sensor data into a single platform, and adds a new AI assistant, Voxel51 Agent, that can execute tasks across the development workflow. The platform supports semantic search, text queries, and metadata filtering, as well as synchronized viewing of multimodal time series, and provides 2D, 3D, and video annotation and Agentic Labeling automatic annotation. The report also states that Voxel51 has partnered with Nebius to run its workflows on Nebius AI Cloud, and offers a free self-service version. There are currently no subsequent development facts.
On October 21, 2026, Voxel51 released version 3.0 of its data platform, targeting robotics and physical AI scenarios. According to Robotics & Automation News, the platform integrates the search, organization, annotation, and evaluation of robot multi-camera, video, and sensor data into a single platform, and adds a new AI assistant, Voxel51 Agent, that can execute tasks across the development workflow. The platform supports semantic search, text queries, and metadata filtering, as well as synchr
Matched fieldsSummary
Meta is developing Confidential VMs functionality on the Muse web client, allowing users to run Muse tasks in an encrypted confidential environment. Meta previously previewed that this feature would launch before the end of 2026. A newly surfaced hidden setting shows that the feature will initially be available only to Meta AI subscribers; after toggling it on, voice mode, image and video generation, and wearable device support will be temporarily unavailable. Meta says conversations run in a secure encrypted environment and that Muse data will not be used to improve Meta's AI. The feature is currently still in development, and there is no further evidence of an official launch date.
Meta is developing Confidential VMs functionality on the Muse web client, allowing users to run Muse tasks in an encrypted confidential environment. Meta previously previewed that this feature would launch before the end of 2026. A newly surfaced hidden setting shows that the feature will initially be available only to Meta AI subscribers; after toggling it on, voice mode, image and video generation, and wearable device support will be temporarily unavailable. Meta says conversations run in a se
Matched fieldsSummary
English text is being prepared.
English text is being prepared.
Matched fieldsSummary
Matched fieldsSummary
Matched fieldsSummary
Matched fieldsSummary
Matched fieldsSummary
fal says FLUX 3 Max achieved 1,139 Elo on a third-party benchmark, entering the top tier of frontier image-to-video models based on independent human preference evaluations. The model was launched through a collaboration between fal Research and bfl_ai. Earlier reports said that through dedicated post-training and inference optimization, the model tied for first place in image-to-video quality on an independent third-party benchmark, generating a 10-second 720/768p video in about 12 seconds; other reports said it scored 1,139 on the Artificial Analysis image-to-video index, with generation speeds up to 22 times faster than Seedance 2.5. fal Research says it is continuing to post-train the model and will subsequently improve quality and performance.
fal says FLUX 3 Max achieved 1,139 Elo on a third-party benchmark, entering the top tier of frontier image-to-video models based on independent human preference evaluations. The model was launched through a collaboration between fal Research and bfl ai. Earlier reports said that through dedicated post-training and inference optimization, the model tied for first place in image-to-video quality on an independent third-party benchmark, generating a 10-second 720/768p video in about 12 seconds; oth
Matched fieldsSummary
Matched fieldsSummary
Matched fieldsSummary
Matched fieldsSummary
NVIDIA has released the surgical generative simulation model Cosmos3-H-Dreams. The model is specialized from the 16-billion-parameter Cosmos3-H-Embodied-Nano for action-conditioned video generation of cholecystectomy. Official information shows that the model was trained with 28 action dimensions, 832 x 480 video, and 10 Hz action alignment, and was distilled into two student checkpoints, four-step and two-step; the two-step version was trained separately and offers faster inference but lower image quality. NVIDIA also provides the FlashDreams streaming runtime, as well as methods for adapting the model to proprietary data and controllers, and states that the model is a research simulator, not a validated clinical system. There are currently no subsequent development facts.
NVIDIA has released the surgical generative simulation model Cosmos3-H-Dreams. The model is specialized from the 16-billion-parameter Cosmos3-H-Embodied-Nano for action-conditioned video generation of cholecystectomy. Official information shows that the model was trained with 28 action dimensions, 832 x 480 video, and 10 Hz action alignment, and was distilled into two student checkpoints, four-step and two-step; the two-step version was trained separately and offers faster inference but lower im
Matched fieldsSummary
On October 20, 2026, Generalist released a video showing its model GEN-1.5 loading 12 hockey pucks into a container; when a puck gets stuck or is in the wrong position, the model adjusts its placement. Generalist said more details are available in a blog post and provided a waitlist link in the comments. There are currently no follow-up developments supported by evidence.
Matched fieldsSummary
Matched fieldsSummary