News, p. 19
News
427 stories · page 19 of 48A hole in Gitea entered the actively exploited catalogue, and no fix exists yet
On 25 August CISA added CVE-2026-60004 to its catalogue of confirmed exploited flaws, with a patch deadline of 28 August. The latest Gitea release is from 14 August, older than the entry itself.
Read →Jalapeño's first numbers: OpenAI claims its chip gives more and faster at once
OpenAI published the first measurements of its own inference chip. They claim higher throughput and shorter waiting at the same time, which until now was treated as a trade. The numbers are theirs and were measured by them.
Read →OpenAI shut down a Russian network building a think tank that did not exist
The accounts wrote comments across five social networks to push the website of a self-described expert community. The site itself stood on other people's research papers, copied and credited to the wrong authors.
Read →Wan 3.0 makes 30 seconds of video in a single pass, with no stitching
Alibaba's new video model is live in ComfyUI. It gives up to 30 seconds at once, up to twenty reference assets, and a way to address each of them by name inside the prompt itself.
Read →WhatsApp replaced the six-digit PIN with a real password
The second step at login can now be a long password with letters and symbols instead of six digits. Android also gets more information about calls from unknown numbers, and passkeys are no longer limited to one.
Read →Meta unveils MTIA 300, its first chip built to train models
MTIA 300 is Meta's first accelerator built to train models, not just serve answers from finished ones. It targets recommendation and ranking systems, with the network built straight into the silicon. By Meta's own numbers, total communication time drops 3.9x versus an equivalent GPU cluster.
Read →Meta wrote its own AI network protocol and opened it through the Open Compute Project
MetaRoCE is a transport protocol written from scratch for the conversations between thousands of AI accelerators over plain Ethernet. By the company's own numbers, it keeps about 86 percent of throughput even at one percent packet loss. The spec, the reference code and the compliance test are going public.
Read →NVIDIA reports 30x more agentic throughput per megawatt, but the number still awaits independent review
NVIDIA published its own measurements for Vera Rubin NVL72: 30 times more agentic throughput per megawatt and 35 times lower cost per token versus the previous generation. The numbers are theirs, on a workload they ran themselves, and by the company's own words still await review from SemiAnalysis.
Read →Groq 3 LPX enters production, built together with NVIDIA's platform
A rack-level inference accelerator, co-designed with Vera Rubin NVL72. It combines GPUs with dedicated fast-response modules and handles token generation in agentic systems. Already deploying at Nebius, CoreWeave and SpaceXAI.
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