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hot_img NVIDIA's Feynman platform is expected to go into mass production in 2028, with TSMC's A16 and SoIC expanding production simultaneously

According to DIGITIMES, NVIDIA's next-generation AI platform Feynman aims for mass production in the second half of 2028, utilizing TSMC's A16 process and incorporating SoIC 3D stacking and CPO technology. The Rubin generation focuses on integrating multiple small chips with HBM, while Feynman further develops towards 3D small chips, SoIC, and CPO. The report indicates that TSMC is accelerating the construction of related production capacity, with the original plan for SoIC monthly capacity to reach 20,000 pieces by the end of 2026, now updated to a target of 50,000 pieces by the end of 2027.The construction progress of TSMC's Chiayi AP7 and Tainan AP8 is also accelerating, with AP7 planned in 8 phases. P1 and P2 have entered installation, P3 and P4 have obtained construction permits, and P5 to P8 are still in planning. In addition to mass-producing Apple-specific WMCM, the factory will configure SoIC, CoPoS, and CPO production lines according to customer demand. NVIDIA has rapidly shifted its R&D and supply chain resources to the Feynman platform, and the spillover effect of TSMC's advanced packaging orders continues to expand, with Siliconware becoming the main testing and packaging factory for NVIDIA's CoWoS and CPO orders. The NVLink interconnect bandwidth of NVIDIA's Feynman platform is expected to exceed 1 PB/s, further improving from Rubin Ultra's 520 TB/s. TSMC's COUPE technology integrates EIC and PIC in 3D through SoIC to form a light engine, advancing optoelectronic conversion from traditional circuit boards to the internal packaging structure. Since 2026, NVIDIA has invested over $40 billion in building the AI ecosystem, covering areas such as models, wafer manufacturing, data centers, and optical communications.

153 stolen addresses contain 132.95 BTC, and researchers are still unable to reproduce the Coldcard attacker's seed

According to monitoring by Bitcoin News, new research published by @PraveenPerera shows that Coldcard attackers seem to first identify addresses with vulnerabilities, then sort them by the amount of Bitcoin held, starting to transfer in batches from the addresses with the highest holdings. The transfer software used was relatively crude.One address had 225 spendable UTXOs, and the attackers extracted exactly the latest 200, leaving the earliest 25, which included a UTXO worth 0.16 BTC. This aligns perfectly with the limitation of a blockchain API investigated by researchers, which defaults to returning 200 records, indicating that the attackers may have failed to load the next page of data. The software even spent a UTXO of 294 satoshis, reportedly increasing the transaction fee by about 2040 satoshis, with the spent amount significantly higher than the value of the UTXO itself.The authors of the study believe that the builders of this tool may have a better understanding of the account balance system than of the Bitcoin UTXO model. Although the attackers seem to have obtained the complete seed of the victims, at least 75 BTC still remain in other addresses derived from the same seed. The biggest suspicion currently is that among the 153 stolen addresses, there are still 132.95 BTC, and researchers have been unable to reproduce the seed behind these addresses, so it cannot be ruled out that the attackers obtained undisclosed private device data or candidate data.

Garrett Jin: Hynix has rebounded to the profit-taking zone, planning to buy on Bitcoin's pullback, and be cautious of the remaining unlocks after SpaceX's short squeeze

Garrett Jin released this week's market report, characterizing the rebound in the South Korean market as a wide-ranging fluctuation rather than a new trend. SK Hynix rebounded continuously after retesting the 1.42 million won area, closing up 5.9% at 1,593,000 won. The KOSPI has risen 20% from the July low, entering a technical bull market, but foreign capital has not shifted to long-term holdings, and the drag from leveraged ETFs remains. Garrett Jin set the first profit-taking level at $1,150 (approximately 1.63 million won), with the next target at $1,300 (1.85 million won).Garrett Jin also noted that gold recorded its strongest weekly gain since January this week at +7.8%, priced at $4,388. The driving factors were a decrease of 23,000 in July non-farm payrolls and a moderate CPI that dampened September rate hike expectations. However, it is currently overbought in the short term, and a pullback could present an opportunity for incremental accumulation. Bitcoin has shown no response to the same macro-positive factors, remaining trapped between the support at $62,500 and resistance at $65,000-$70,000, with the bottom structure since $57,700 gradually being built. Garrett Jin will wait for the next buying opportunity after a pullback.Regarding SpaceX, Garrett Jin believes the recent performance is a classic case of "bad news fully priced in + short squeeze," with the unlocking itself becoming a washout rather than the starting point of a decline. However, the unlocking window has not yet ended, with an additional 319 million shares to be unlocked, approximately 700 million shares each in September and October. The current range up to $160 is a profit-taking zone rather than a high-entry zone.

Michael Saylor proposed the digital asset spectrum framework: BTC represents digital capital, and STRC represents digital credit

The founder of Strategy, Michael Saylor, proposed the concept of the "Digital Assets Monetary Spectrum," categorizing different types of digital assets based on volatility, potential returns, and trading functions.Saylor stated that the digital asset system can be divided into four levels: Bitcoin (BTC): Digital Capital (Digital Capital) STRC: Digital Credit (Digital Credit) SR-strcUSX: Digital Money (Digital Money) USDT: Digital Currency (Digital Currency).He believes that from left to right, asset volatility and potential returns gradually decrease, while stability and trading utility continuously increase. Saylor stated that Bitcoin is the "ultimate value storage asset," possessing high volatility, high potential returns, and the attributes of a digital asset that does not require third-party credit endorsement; whereas stablecoins are the "ultimate medium of exchange," emphasizing stability and payment functionality. In between the two, digital credit and digital currency serve as a bridge connecting capital and currency. Among them, STRC is defined by Saylor as "digital credit," characterized by relative stability, high fixed returns, and certain value storage attributes.He further stated that digital currency combines digital currency technology with digital capital economic attributes, possessing stability, earning capacity, trading convenience, and value storage functions. Saylor noted that digital capital belongs to bearer assets, while assets such as digital credit, digital currency, and digital cash are created and managed by digital financial companies, with their ownership layer corresponding to "Digital Equity." These components together form the future "Digital Finance Stack."
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