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End-to-End 4-Bit Training：让大模型用更粗糙的数字格式完成全流程训练，大幅缩短显卡训练时间 训练大模型需要处理海量数据，直接把数字精度压到4位虽然能加快计算，但四舍五入累积的误差会严重拖垮模型的学习效果。 为了解决这个矛盾，Thinking Machines Lab在英伟达GB300显卡平台上开发了名为BBBK的专用底层加速程序。采取了分工策略，在模型向前推理计算时使用高速度的4位数字格式NVFP4，在向后更新参数时切回较精细的8位格式MXFP8，并在传输数据时顺手进行旋转压缩与随机舍入修正，省去了传统训练完成后还要单独做低精度校准的麻烦步骤。 这套方案应用在Inkling 2 Small模型的全流程训练中，显卡的运算管道和传输带宽同时跑满，没有出现互相等待的卡顿。原本需要好几周才能跑完的同体量模型，现在在GB300机柜上只用了68小时就完成了预训练。对比全程使用8位格式训练，新方案在预训练阶段节省了8%的时间，在强化学习阶段直接提速了20%，省下了大量算力开销，同时模型最终的回答准确率几乎没有受到影响。 链接：

⚠️ Cursor has published a security incident report on the earlier supply chain attack. According to the investigation, the attacker used access keys issued by Cursor to Fireworks and subsequently exposed on Fireworks’ side to gain access to some of Cursor’s SaaS services and internal systems. The attacker ultimately tampered with the distribution cache for the Claude Code extension to collect information about users’ machines and install SSH backdoors. The compromised versions were Anthropic.claude-code 2.1.312 and 2.1.313 in Cursor’s VS Code extension marketplace distribution cache, affecting macOS and Windows. The exposure window ran from October 29 at 17:27 to October 30 at 04:35 (UTC+8), with up to approximately 5,000 users affected. Security recommendation: If you installed or updated to either affected version through Cursor’s marketplace during this window, read the official notice as soon as possible and run the remediation script for your platform to check for and remediate any compromise: Fireworks’ initial announcement and subsequent update:

You need to call her now. There isn't any more time. The machines are coming. You won't be able to stop them. The cell towers will be next. She needs to know how you feel before it's over. Microsoft and air traffic control are only the first. You need to call her now.

GCSA Insight: Critical Security Vulnerability Discovered in a Leading Robotics Manufacturer’s Product, with System-Level Privilege Compromise Verified on Physical Hardware As artificial intelligence and embodied AI technologies continue to advance, robots are evolving from conventional automated machines into intelligent systems capable of perception, decision-making, and autonomous operation. At the same time, cybersecurity risks are extending beyond software and data into the physical world. The security of robotic systems is no longer solely a matter of protecting data and devices; it can also directly affect operational safety, physical environments, and user safety. Recently, the security research team of the Global Cybersecurity Alliance (GCSA) discovered and verified a critical security vulnerability in a product developed by a leading robotics manufacturer. Through in-depth analysis and multiple rounds of testing on physical hardware, the team successfully breached the device’s system security boundaries and obtained the highest level of operating system privileges in a real-world device environment, demonstrating the vulnerability’s actual impact under specific testing conditions. This research encompassed the entire process, from identifying the security flaw and assessing its risks to validating its impact on physical hardware. The findings also highlight significant challenges facing the underlying security mechanisms of embodied AI systems. The research findings and supporting evidence have been formally submitted to the manufacturer. On November 13, 2026, the manufacturer responded by email, preliminarily confirming the existence of the vulnerability and stating that it had initiated internal remediation efforts and an assessment of the scope of affected products. It is important to emphasize that confirmation of a vulnerability does not mean the associated security risks have been eliminated. GCSA will continue to monitor the manufacturer’s assessment of the affected scope, remediation plans, and subsequent security validation, and will update its research findings as new information becomes available. For intelligent systems capable of physical interaction and movement, timely, effective, and verifiable security remediation is particularly important. In accordance with responsible vulnerability disclosure principles, GCSA is currently withholding sensitive information, including the manufacturer’s identity, specific product details, the vulnerability’s underlying mechanisms, and exploitation methods. GCSA is currently seeking guidance from relevant authorities and regulatory bodies regarding the associated security risks. Taking into account the manufacturer’s remediation progress and a comprehensive assessment of potential security implications, GCSA will carefully determine the appropriate arrangements for further disclosure. Subject to appropriate conditions and upon obtaining the consent of the relevant authorities and regulatory bodies, GCSA will publicly release a detailed security insight report, providing the industry with ongoing updates on the research findings and associated risk assessments. The findings of this research are based on specific testing environments and the evidence obtained to date. They do not imply that other product models or similar robotic systems are affected by the same security issue. This security research and validation on physical hardware represent one of GCSA’s initiatives in the field of embodied AI security. GCSA will continue to advance security research, coordinated vulnerability disclosure, and industry collaboration to promote stronger security response mechanisms across the artificial intelligence sector, enhance product security, and strengthen industry trust. 🔗 Read the full report: · Stay Connected with GCSA Follow GCSA's official social media channels for the latest news, product launches, research developments, and ecosystem updates. GCSA Official Telegram Channel: GCSA Official WeChat Account: #GCSAInsight# #GCSACybersecurity# #GCSASecVibe#

Inkling 2 Small开源了 唯一能跟国模一战的美国开源模型，由Thinking Machines开源（前OpenAI首席技术官Mira创办）。 参数594B，激活参数17B，评分接近DeepSeek-V4.1-Flash-1017（763B），超过GLM 5.3 Flash。 模型：

MICROSOFT'S OWN SERVERS STARTED DROPPING OFFLINE — 128,874 OUTLOOK OUTAGE REPORTS — IN ORDER: → 12:54pm ET, Nov 12 — Microsoft investigates: users can't get into Exchange Online mailboxes in the Americas, via multiple connection methods → 1:07pm ET — Microsoft says it may hit users in any region — not just the Americas → 1:09pm ET — Outlook outage reports peak at 128,874 — Teams and Copilot reports climb → 2:12pm ET — Microsoft pauses all deployments → 2:31pm ET — servers are unexpectedly down, the rest are STRAINING By 2:50pm ET, servers were failing health checks. Not a traffic surge. Not a rush of users. Microsoft's own machines quit — and the whole workday waited. That's the sequence. And the app list in that outage tells you everything about what this is actually about: → The work inbox → The AI assistant inside Office → The office suite with 321 million active users This isn't just an email outage. It's a world office on wheels — and it stalled because the fleet wasn't done failing. 2:50pm ET: Microsoft restarts all affected servers. When Microsoft names what knocked those servers out, you'll wish you'd followed me.

What happens when AI takes over human creativity? 🎬 In 2095, one African man refuses to let machines replace the human soul. THE LAST HUMAN ARTIST. A cinematic AI movie. Get ready. 🔥

Hasan Piker's take on the Jensen Huang's cheating scandal with the alleged Chinese spy: "I personally don't give a shit. I want them [China] to copy the fucking chips and I want to have cheap RAM. I want to have cheap GPUs. Give them not just the chips, but the lithography machines. Make them have access to the microchip technology pronto. We want to flood the market with Chinese copies. That's what I care about. I don't give a fuck about the national security implications here. That's just me. So, whatever kind of Chinese strange Jensen Huang needs to get involved with to make that happen, I am in support of it. HONEY POTS FOR EVERYBODY! I LOVE TRADE-MAXXING!"

What happens when Elon Musk gets fed up with traffic? He starts digging. 🚇 Teslas are cruising through tunnels under Las Vegas. Prufrock boring machines are chewing through Nashville limestone and building tunnel rings autonomously, to the millimeter. 14 Vegas Loop stations built, 28 by the end of the year and 123 approved. ~82,000 passengers moved at CONEXPO. A record 2.28 mile Vegas Loop tunnel drive. A $23 billion valuation. And next, Austin to San Antonio in under 30 minutes. "One of the most soul destroying things is traffic." Elon at TED 2017 Elon Musk is digging us out of traffic. Which city needs a Loop next? 👇 🎥 - @boringcompany - @elonmusk - @TEDTalks