OpenAI’s GPT-5.6 Sol on Ultrafast mode is available in limited preview to a select group of customers, launching first through the OpenAI API. The company says the service runs up to 14 times faster than Standard processing and generates up to 750 output tokens per second. Ultrafast is powered by Cerebras as part of the companies’ partnership on ultra-low-latency inference. GPT-5.6 Sol Ultrafast a

OpenAI has introduced Ultrafast mode for its GPT-5.6 Sol model, which the company states can process requests up to 14 times faster than its standard offering. This new mode is currently in a limited preview phase, accessible to a select group of customers via the OpenAI API.
The Ultrafast mode is powered by Cerebras technology, stemming from a partnership focused on achieving ultra-low-latency inference. OpenAI reports that the enhanced speed allows for the generation of up to 750 output tokens per second.
During the preview, participating customers are deploying Ultrafast mode in production environments across various sectors, including coding, e-commerce, financial research, and customer support. OpenAI aims to leverage this program to identify the most impactful applications for such a significant speed increase and to observe how product development evolves when models can respond almost instantaneously.
Internally, OpenAI is utilizing Ultrafast mode for critical functions such as incident response. This includes tasks like analyzing logs and traces, synthesizing conversations, identifying necessary follow-up checks, and assisting in the preparation and validation of fixes. The company notes that faster inference significantly reduces the time required to observe a signal, test a hypothesis, and determine the subsequent action, while human engineers retain responsibility for judgment and deployment decisions.
Additionally, OpenAI is applying Ultrafast mode to its internal research workflows. This involves tasks such as knowledge searches, data queries, integration with connected tools, and information synthesis. The company suggests that research teams, who might typically launch experiments overnight and review results the next day, can now complete multiple iterations within a single workday.
A weakness has been identified in Tenda CP3 27.5.57.101. This issue affects some unknown processing of the file Net/NetCheckPing.cpp. This manipulation of the argument interface_name/host causes os command injection. The attack can be initiated remotely.
A security flaw has been discovered in Tenda CP3 27.5.57.101. This vulnerability affects the function SystemAsh of the file Apis/system.c of the component Kylin. The manipulation of the argument AlarmVoiceURL results in os command injection. It is possible to launch the attack remotely.

OpenAI has announced a $1 billion commitment to provide subsidized access to its Daybreak AI cybersecurity tools for under-resourced critical infrastructure defenders. The initiative, named Daybreak for Frontline Defenders, will offer AI models, training, and technical support over the next six months, prioritizing water and wastewater utilities, electric grid operators, and local government entities. This move aims to equip organizations with limited budgets and staff against increasingly sophisticated cyber threats.

Attackers are exploiting a new unpatched vulnerability in Magento Open Source and Adobe Commerce that lets them run malicious code on an online store's server without logging in, Dutch e-commerce security company Sansec said in an advisory published on September 5. Sansec, which discovered the flaw and named it StyleSmuggler, said attacks started on September 4. "Sansec is publishing early
In BPF instructions that load/store a value from/to a scratch memory register the register index is an unsigned 32-bit integer and must not exceed 15, but libpcap BPF interpreter does not validate the value. In particular uncommon use cases a crafted filter program can cause the interpreter to try reading and writing the OS process memory in the 16GiB starting at the current stack frame on 64-bit architectures and in the entire address space on 32-bit architectures.

Attackers are exploiting two new PaperCut flaws to steal credentials and gain privileged access in education-sector attacks across the U.S. and Europe. Attackers are exploiting two recelty disclosed PaperCut flaws, CVE-2026-81578 and CVE-2026-82078, in attacks targeting schools and other education organizations in the U.S. and Europe, as reported by TheHackerNews. Arctic Wolf researchers observed