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@bitget has engaged SlowMist’s security team to investigate the September 25 hot wallet asset theft. As of September 29, our investigation has identified malicious activity involving certain third-party security products and a wallet application host, as well as a highly customized withdrawal tool used by the attacker. 🔎 Key findings include: 1. Malicious activity on a certain third-party product involving exploitation of a zero-day vulnerability. 2. Unauthorized access to a certain third-party products management platform on September 25 using an internal employee identity. 3. Recovery of a customized withdrawal tool designed to interact with the wallet system’s withdrawal logic. 4. On-chain activity begins at 02:31 on September 25, with transfers across multiple blockchains over approximately 2 hours and 52 minutes. 5. Subsequent attempts to manipulate withdrawal records and trigger additional BTC withdrawals. We are continuing to investigate how the attacker moved between the affected systems. All date references are to UTC+8. 📄 Read the details of the investigation:

Our team has been partnering with actor, producer, and longtime Android user Henry Cavill to put Googlebook to the test. Stay tuned this November to find out what he's been creating 👀 Learn more:

🚨 MAJOR BREAKING: Premier League confirm an independent Commission has found Manchester City GUILTY OF ALL CHARGES related to serious breaches of the Premier League’s financial rules over a nine-season period, and the majority of charges in relation to its failure to co-operate with the League’s investigation. The club has the right to appeal the independent Commission’s findings and has until Friday 2 October to exercise that right. The Premier League Board’s intention is that the full process (including any appeals and publication of relevant decisions) is concluded as soon as possible. The independent Commission found that between Seasons 2009/10 and 2017/18: - Manchester City arranged ‘sham’ contracts (which misrepresented the true agreement between the parties) with a number of its commercial partners, as well as relying on ‘sham’ agreements with others, to artificially inflate the club’s revenues and reduce its costs - The club filed misstated accounts and concealed the true state of its finances from its auditors and football regulators - Manchester City was significantly in breach of both the Premier League’s and UEFA’s spending limits - During the Premier League’s investigation, Manchester City committed multiple breaches of its duties of co-operation and utmost good faith towards the League (three of the four alleged breaches were upheld)

I dramatically underestimated the value of Grok Bot in my Tesla. Can you technically do everything you’re able to do with Grok Bot in the Tesla just by launching the app on your phone and going voice mode? Sure. But the magic isn’t in the raw capability itself, it’s in the combination of raw capability and total seamlessness. I often have fleeting thoughts while driving around. Some of these things aren’t significant enough to make me fumble around with my phone while supervising FSD, but when I literally don’t have to lift a finger and can just “Hey Grok” anything computer related into reality, I find myself taking advantage daily. And the little things add up. I’m on my way to work and remembered that I have a few documents on my home computer that I am going to need for work. So I just asked “Hey Grok, can you grab those 4 pdf files from my Mac downloads folder and move them into X folder on my one drive?” Now they’ll be where I need them to be when I get to my desk, and I won’t have to re-download them on my work machine. I have to work on a presentation today for a talk in a few weeks. “Hey grok, go into my sales enablement folder and have Claude Code build me a deck focused on X product for Y industry.” Claude already has my full job context, styling preferences etc and can build a nearly finished deck with a prompt. Now when I get to my desk, instead of building from scratch, I can review and prompt revisions before beginning to dig through my email backlog. Feels insane.

From finding the right creators to reaching out, all inside Cue. @AIsaOneHQ × @CueAgents by @ManusAI Discover relevant creators, see why they fit, and send a personalized intro. Get started with AIsa. Just send: set up

我觉得目前 macOS 的多媒体播放器都太难用了。不仅性能差，功能迭代也很慢。 所以我最近两个月一直在开发多媒体播放器 Khua Player，专为现代 macOS 和 Apple 芯片打造。 为了追求极限性能，用 C/C++ 等原生代码优化播放核心，尽可能压低体积、内存和 CPU/GPU 开销，打开快、操作跟手、播放丝滑。 也用上了 macOS 的原生 AI 能力：本地生成字幕、翻译字幕，再加上实时补帧、4K/HDR、Finder 预览 MKV 格式等。损坏或没下载完的视频，也能尽量救回来播放。 已完全开源，网址：

Higgsfield is the most untold story in tech. $1BN in ARR in 18 months. Faster than everyone other than OpenAI and Anthropic. They spend $4M a month on models. They expect this to be $100K per person per month. They have 150 people working in a content machine. They will breed more millionaires than any other company in Kazakh history. For the first time, @alexmashrabov on the journey to $1BN in ARR. (below) 1. The Power of the Immigrant Founder Coming from Uzbekistan, Alex was pushed into competitive programming at age eight as his single path to reach the United States. For international founders, placing top in global competitions serves as the ultimate social elevator, instilling the relentless work ethic required to build breakout companies. 2. My Biggest Lessons in the Journey to Finding Product-Market Fit @higgsfield burned over $10 million of its $16 million seed round chasing hype and narrative rather than product quality. With under $5 million left, the team pivoted to product-led growth, solving camera control for creative directors, which immediately triggered organic hypergrowth without paid ads. 3. The 150-Person Content Team Powering Higgsfield's Billion in ARR Nearly half of Higgsfield's workforce consists of 150 in-house creative professionals producing tutorials, ads, and cinematic projects. Generating 90 minutes of TV-quality AI video requires 100 hours of raw output, proving human taste and curation remain the primary drivers of distribution. 4. We Spend $4 Million per Month on Models Higgsfield spends $4 million monthly on internal model usage, averaging $10,000 per employee so teams can freely vibe code and test workflows. Uncapped inference compute acts as a force multiplier, allowing top talent to discover breakthroughs at maximum velocity. 5. Why Chasing Benchmarks Is Bullshit and the Corporate Misalignment Occurring Public benchmarks have devolved into corporate psyops where lab researchers overfit test data to secure bonuses before job-hopping. Text-to-video benchmarks ignore real production workflows requiring 3,000-word prompts, proving direct customer iteration beats artificial leaderboards. 6. Why Team Sizes Won't Be Impacted as Much as People Think While AI handles over 60% of basic support requests, complex B2B environments cannot eliminate human teams. High product velocity constantly shifts rules and context, requiring smart, coordinated operators across legal and customer success. 7. Americans Are Way More Promiscuous When It Comes to Leaving Companies Silicon Valley workers routinely jump jobs every two years, prioritizing short-term trends over deep commitment. This transactional market gives international hubs an advantage, where cultural loyalty and team stability build compounding technical moats. (links in comments)