Garrett Jin’s unrealized loss on his ZEC short positions has widened to $33.83 million, with a liquidation price of $4,790.

According to HTX market data, HYPE has surged past $94, hitting a new all-time high of $94.43, with a 24-hour gain of 9.1% and a market cap of $20.996 billion. Below is a roundup of recent positive developments for Hyperliquid: · Payward, parent company of Kraken, announced plans to offer on-chain perpetual contracts based on Hyperliquid to U.S. clients. Bitnomial, a CFTC-regulated exchange and clearinghouse under Payward, acts as the HIP-3 deployer, responsible for creating, owning, managing markets, and clearing trades. NinjaTrader Clearing, a registered Futures Commission Merchant (FCM), will hold client accounts. · The U.S. SEC announced its "Innovation Exemption," granting conditional five-year exemptions to certain tokenized stock trading platforms, a boost for Hyperliquid’s expansion in the tokenized equity and real-world asset (RWA) space. · The HIP-3 market accounted for nearly 50% of the platform’s perpetual trading volume in summer 2026, up from around 2% at the start of the year. TradeXYZ’s stock market (including Nasdaq 100 and individual equities) remains dominant. Over the same period, total RWA perpetual trading volume across the market rose from ~$85 billion per month in January to ~$470 billion per month in June. · Hyperliquid’s perpetual contract trading volume over the past 30 days reached ~$240 billion, leading public chains/ecosystems (second-place Arbitrum recorded ~$47.2 billion, while Solana saw ~$46 billion). It holds a ~36% share of the Perp DEX market over the same period, with cumulative perpetual trading volume exceeding $5.3 trillion. · Hyperliquid recently launched the Manual Borrows feature, allowing users to borrow USDC or USDT using HYPE or BTC as collateral.

Garrett Jin (@GarrettBullish), the largest $ZEC short, is now sitting on a $33.66M unrealized loss! Liquidation price: $4,792.01 But his 1,333 $BTC ($108.57M) long is now up $4.5M.

Beating AI Express: Meta officially integrates visual segmentation model SAM 3.1 into its Model API. Developers can input images or videos, then enter a phrase like "red bicycle" to directly locate the corresponding object, returning bounding boxes and pixel-level masks. The feature also enables continuous tracking of the same target in videos, supporting use cases such as automatic blurring and special effects. Meta released the open-weight version of SAM 3.1 back in March this year. Its biggest upgrade over SAM 3 is Object Multiplex: previously, multiple targets had to be processed one by one, while up to 16 can now be handled simultaneously in a single pass. In Meta’s tests, an H100’s processing speed for multi-target videos rose from 16 frames per second (FPS) to 32 FPS; when tracking 128 targets, the speed is roughly 7 times that of SAM 3. Previously, developers had to download weights, prepare GPUs, and set up deployment environments on their own; now they can directly use Meta’s hosted API. Image segmentation costs $2.5 per 1,000 images, and video processing costs $0.2 per 1,000 frames. The API can also be directly integrated via the OpenAI SDK. However, the API version currently only accepts text prompts, while the open-weight version supports additional visual prompts like bounding boxes and points to specify targets. The video API supports tracking up to 16 objects per frame.

Beating AI Express: OpenAI begins limited resumption of the $200/month ChatGPT Pro 20x, but has not yet reopened the plan to all users. The official new rule states only users who recently used Pro 20x get one chance to resubscribe. Regular new users and those upgrading from other plans remain suspended. Specifically, users who held Pro 20x as of September 10, or whose subscription ended in the prior 30 days, may be eligible. For those who canceled, failed to renew, or downgraded, the re-subscription window is capped at 30 days and can only be used once. The core differentiator of Pro 20x remains its usage quota, which is 20 times that of ChatGPT Plus. OpenAI suspended the $200 tier on September 10 due to surging demand for Astra. Tibo Sottiaux, who leads ChatGPT and Codex, called Astra’s demand “unprecedented” at the time, noting that Pro 20x exerts the most strain on the system.

Beating AI Insight News Brief: OpenAI has added Chrome extension support to ChatGPT’s desktop built-in browser. Users can now directly install, pin, and use extensions, with the official demo using 1Password. Enterprise administrators can also centrally deploy and manage extensions. This built-in browser operates as a separate environment from users’ own Chrome, and does not automatically inherit Chrome’s login status, cookies, or installed extensions—separate configuration is required within ChatGPT. OpenAI’s documentation confirms it now supports standard browser functions including login, multiple tabs, downloads, and extensions, though security boundaries remain restricted. OpenAI engineer James Sun noted that agents cannot currently directly operate extensions or access data within them. For instance, while humans can use 1Password to fill passwords, ChatGPT cannot open the extension to retrieve passwords on its own. This is part of the ongoing integration of the Atlas feature into ChatGPT. When OpenAI announced the shutdown of Atlas in July this year, it explicitly stated it would transfer browser agent capabilities to ChatGPT and Codex. With Chrome extension support now added, ChatGPT’s desktop version is increasingly resembling a full-fledged browser.

Beating AI Express, a news brief from 动察 – According to a Financial Times report citing recent OpenAI investor presentation materials, OpenAI projects cumulative negative free cash flow of $278 billion between 2026 and 2030. Its revenue will grow from $36 billion this year to $350 billion by 2030, with cumulative revenue over the five-year period reaching an estimated $840 billion. OpenAI plans to invest roughly $856 billion in computing power and infrastructure by 2030, which will be the company’s single largest expenditure. The firm just completed a $122 billion funding round in March, but at its current spending trajectory, it is expected to deplete this capital by 2028. The report notes that OpenAI is seeking a new funding round at a valuation above $1.2 trillion to support its expanding computing power requirements. Meanwhile, the company is competing with rivals like Anthropic for market share and has implemented price cuts to counter competitive pressure from low-cost open-source models in China.