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JUST IN: 🇨🇳 China’s new open-source AI model, GLM-5.2 by Zhipu AI, reportedly matches Anthropic’s Claude Mythos in security bug detection. The model outperformed some Claude versions in independent cybersecurity benchmarks and can achieve Mythos-level performance. Unlike Claude Mythos, GLM-5.2 is open-source and significantly cheaper to run. The gap between US and Chinese AI models is narrowing rapidly.

Supposedly, "a new model from" from zAI is said to be at least as strong as Fable5 in cybersecurity-related aspects. I did some research and only came across a Wall Street Journal article, which, however, does not refer to a new model, but to GLM 5.2 as a relatively new model that was released recently. So either GLM 5.2 is stronger than people think, or the news being circulated is misleading. According to WSJ, Zhipu AI’s GLM-5.2 can match top US models in some bug-finding scenarios, and China’s 360 Security says its new Tulongfeng tool is comparable to Anthropic’s Mythos.

Since June 12, we’ve been working closely with the US government to restore access to Claude Mythos 5 and Fable 5. Today, the government notified us that Mythos 5, our strongest cybersecurity model, can be redeployed to a set of US organizations that operate and defend critical infrastructure. We’re restoring access for these organizations quickly, and we’re continuing to work with the government to expand access to Mythos 5 and make Fable 5 available for general use again.

卧槽，GPT5.6 来了！普通人暂时无法使用！四个版本分别是 SOL Ultra 、SOL、Terra、Luna，这名字起的😂 OpenAI 正式发布全新一代大模型 GPT-5.6。 该模型至少包含 Sol Ultra、Sol、Terra 以及 Luna 四个衍生版本。 在底层基建与多模态安全对抗领域，GPT-5.6 并在反映终端控制能力的 Terminal-Bench 2.1 基准测试中创下历史最佳成绩，其核心版本 Sol Ultra 与 Sol 在基准跑分上超越了竞品 Anthropic 旗下的 Mythos 以及 Fable 5，被官方定义为目前市场中最强的网络安全（Cybersecurity）模型。 在具体的成本模型与代币效率维度，GPT-5.6 展现了极高密度的推理效率（Inference efficiency）。 评测数据显示，GPT-5.6 Sol 仅需消耗不到 100K token 的上下文带宽，即可在复杂任务处理上超越智谱 AI 等国产模型（如 GLM 5.2）依赖 2 至 3 倍 token 数量堆叠出的智能水平，同时也打破了 Anthropic Opus 4.7 需要 200K token 的智能上限。 在定价策略上，OpenAI 采取了激进的“价格屠夫”路线，其基础版 GPT-5.6 Luna 的分发价格已逼近国产低成本模型的费率区间，而旗舰版 Sol 的调用摩擦开支亦显著低于 Anthropic 旗下的 Opus 与 Fable 系列。 OpenAI 首席执行官萨姆·奥特曼（Sam Altman）在发布会后确认，美国商务部长已亲自通过电话对该模型的商业分发实施行政干预，要求在当前的初始预览阶段，仅向极为有限且经过美国政府逐一审核的客户开放试用。 这一国家机器的肉身介入，实质性地拉长了前沿模型全面流入消费级市场的摩擦周期。 奥特曼在随后的公开表态中并未采用激进的 PR 辞令，而是克制地指出，团队在过去数周内已完成了密集的安全加固（Hardening），并有确信度在未来数周内将这套具备高弹性、低成本的算力工具链向全球泛化用户全线放开。

BREAKING: The Trump administration has asked OpenAI to delay the broader release of its upcoming powerful artificial intelligence GPT-5.6 model. The request came from the White House's Office of the National Cyber Director and Office of Science and Technology Policy. The U.S. government asked OpenAI to initially release GPT-5.6 only to a small group before a broader release. The White House wants additional testing and will grant GPT-5.6 access only to 20 government-vetted partners during a limited rollout. The move comes after the administration ordered Anthropic to suspend access to its Fable 5 and Mythos 5 models and restricted access for foreign nationals over cybersecurity concerns.

Introducing OPSeC: a new industry-wide initiative we're convening in partnership with @_SEAL_Org & @asymmetric_re to improve cybersecurity resilience across blockchain ecosystems & onchain software. Join us to ensure security is at the heart of onchain technology development.

Tata Electronics said it had detected a recent ‘cybersecurity incident,’ after researchers said World Leaks posted purported component design and specification documents belonging to Apple and Tesla, both customers of the Indian group. Security researchers told Reuters that the ransomware group posted more than 200,000 files on the dark web

New cars. New rules. New era. But passion, commitment and belief in the same dream never change. Some things are worth defending. Bitdefender. Exclusive Cybersecurity Partner of Scuderia Ferrari HP.

How does it work? Sakana Fugu is itself an LLM, trained to call various LLMs in an agent pool, including instances of itself recursively. Fugu dynamically orchestrates the world's best models to tackle complex, multi-step tasks. As shown in this figure, Fugu is a multi-agent system that behaves like a single model. You send a request to one endpoint, and Fugu decides how to handle it internally. Fugu manages model selection, delegation, verification, and synthesis automatically. It solves tasks directly when that is enough, or coordinates a team of expert models when a problem calls for more. The complexity of a multi-agent system never reaches your code. At launch, Sakana Fugu comes in two models accessed via a single OpenAI-compatible API: • Fugu balances strong performance with low latency for everyday work. It fits naturally into tools like Codex for coding, as well as chatbots and interactive services. You can also opt specific agents out of its pool for data compliance. • Fugu Ultra is our flagship model tuned for maximum answer quality on hard, multi-step problems. It coordinates a deeper pool of expert agents for demanding work like AI research, cybersecurity analysis, and patent investigations.