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first_img CXMT has launched the equipment bidding for the new factory in Shanghai and is planning to expand production in multiple locations

China's largest DRAM manufacturer Changxin Storage (CXMT) has recently launched a bidding for equipment from partners for its new factory in Shanghai and is advancing capacity expansion in multiple locations. CXMT is currently mass-producing DRAM in Hefei Phase II and Beijing Phase I, with an estimated capacity of about 200,000 wafers per month, which may exceed 300,000 wafers per month by the end of the year.CXMT plans to open the new factory in Shanghai in the fourth quarter of this year, and the related equipment bidding has already started. Semiconductor equipment industry insiders say that the factory is planned to be expanded in two phases, with capacity significantly exceeding 100,000 wafers per month. Subsequently, there are plans to open a new factory in Hefei in the first half of next year and the earliest new factory in Beijing in the second half of next year, with another new factory in Hefei opening in the first half of the year after next.Equipment industry insiders say that CXMT has communicated with multiple parties regarding the timing of building factories in various locations. If all plans are realized, CXMT could add at least 70,000 to 80,000 wafers of capacity per month each year from this year until 2028, with a long-term goal of exceeding 600,000 wafers per month. Samsung Electronics and SK Hynix's DRAM capacities are estimated at about 700,000 wafers and 600,000 wafers per month, respectively.

Liquid Network releases emergency fix: Elements v23.3.4 fixes Proof verification cache vulnerability

Liquid Network has released the latest update stating that the emergency version Elements v23.3.4 is now online. Functionary nodes have immediately begun upgrading and all Liquid node operators are advised to synchronize updates. This version addresses the previously discovered Proof verification cache vulnerability and strengthens the cache keys used for Range Proof.Regarding network recovery, Blockstream states that it is still formulating a recovery plan, which is expected to proceed in three phases: restoring block production while continuing to suspend Peg operations; replaying verified valid transactions; and restoring Peg operations after the network status is fully restored and funds are confirmed to be returned. Currently, the first two phases are being tested in parallel, and any phase will only advance once safety is confirmed. Liquid Network indicates that Elements v23.3.4 has completed multiple rounds of internal and external reviews, with participants including the Bitcoin Red Team, Alpen Labs, and other teams.At the same time, Liquid Network reminds users to be vigilant against fraudulent upgrade websites exploiting this incident. Information should only be obtained through official Liquid Network and Blockstream channels, and users should never send funds to strangers or disclose private keys or recovery phrases.

first_img Analysis: 91% of the YC 2026 Summer Batch are AI companies, with the application layer's proportion dropping to 39%

User chris__lu posted that they compiled all 236 companies and 470 founders from the YC Summer 2026 batch, categorizing each company into an AI technology stack layer and comparing it to the Spring batch using the same criteria. This batch still has 91% related to AI. The model companies increased from 8% to 20%, the application layer decreased from 55% to 39%, horizontal applications dropped from 58 to 32, and vertical applications remained at 25%.In the Spring, 45% of companies delivered autonomous agents, while in the Summer, it was 33%, with "agent" in a one-sentence introduction dropping from 27% to 19%. 21 companies are engaged in computational infrastructure, 11 focus on inference costs, and there are also companies for training data and reinforcement learning environments. Scale AI is listed as an alternative target by 8 companies. The industrial category increased from 12% to 24%, with 45 companies delivering physical products, 24 being robots or physical AI, and 21 companies operating their own businesses rather than selling software.This batch is the youngest, with 37% of founders being students or graduates in the last two years, 59 teams are entirely student teams, the dropout rate increased from 3% to 9%, and repeat founders decreased from 32% to 23%, with 84% having a technical background. 39 from Berkeley, 32 from MIT, and 25 from Stanford. Amazon is the largest source of talent. Sales and marketing AI decreased from 18 to 6. Only 19 founders come from AI labs, accounting for 4%. 8 founding teams come from the same previous employer.

Douyin internal testing AI workshop, the recommendation page adds interest card display for AI applications

Douyin is currently conducting an internal test of the AI Workshop, aimed at ordinary creators and developers, providing a complete link from AI application building, debugging, and operation to platform distribution, deeply integrating with Douyin's internal traffic system. The AI development framework, interface capabilities, and cloud storage services are all built into the creator's backend.The Douyin App's recommendation page has added a new content form interest card, used to showcase AI applications created in the AI Workshop. Users can directly interact with these cards while browsing the recommendation page, without needing to switch to a mini-program or leave the main app, allowing them to complete Q&A queries, fun interactions, and light tool experiences within the information flow. The interest card relies on Douyin's personalized recommendation distribution, supporting custom gameplay and styles.Creators who do not understand coding can use natural language to describe their ideas for building, while technically skilled developers can modify underlying files for deep customization. Debugging, real-device preview, and publishing can all be completed in the same environment. The produced works can be directly converted into interest cards for placement in the recommendation stream. This product is currently in the invitation-only internal testing phase.
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