BTC $80,033.62 -1.36%
ETH $2,321.03 -1.45%
BNB $738.89 -2.65%
XRP $1.29 -2.23%
SOL $100.12 -2.19%
TRX $0.3313 -0.10%
DOGE $0.0784 -1.85%
ADA $0.2004 -2.62%
BCH $279.31 -6.25%
LINK $11.59 -0.98%
HYPE $87.43 +7.66%
AAVE $132.58 -1.22%
SUI $0.9211 -1.88%
XLM $0.1695 -0.94%
ZEC $1,269.06 -2.25%
AAPL $348.55 +0.67%
AMZN $249.54 -1.65%
GOOGL $289.02 -11.14%
MSFT $538.85 +1.61%
META $618.33 -0.49%
NVDA $214.28 -2.67%
TSLA $402.82 -2.13%
SNDK $1,363.57 -0.03%
INTC $92.27 -3.39%
SPCX $142.90 -4.30%
MU $955.01 -0.94%
AMD $564.91 -0.88%
BTC $80,033.62 -1.36%
ETH $2,321.03 -1.45%
BNB $738.89 -2.65%
XRP $1.29 -2.23%
SOL $100.12 -2.19%
TRX $0.3313 -0.10%
DOGE $0.0784 -1.85%
ADA $0.2004 -2.62%
BCH $279.31 -6.25%
LINK $11.59 -0.98%
HYPE $87.43 +7.66%
AAVE $132.58 -1.22%
SUI $0.9211 -1.88%
XLM $0.1695 -0.94%
ZEC $1,269.06 -2.25%
AAPL $348.55 +0.67%
AMZN $249.54 -1.65%
GOOGL $289.02 -11.14%
MSFT $538.85 +1.61%
META $618.33 -0.49%
NVDA $214.28 -2.67%
TSLA $402.82 -2.13%
SNDK $1,363.57 -0.03%
INTC $92.27 -3.39%
SPCX $142.90 -4.30%
MU $955.01 -0.94%
AMD $564.91 -0.88%

higher

All
Article
Flash

first_img a16z Weekly Report: Listed GPU rental prices are higher than at the beginning of the year, Netflix's growth rate is about 12%

The venture capital firm a16z released a chart weekly report written by Moses Sternstein on October 23, 2026. The report states that Netflix is still growing, with revenue growth slowing to just below about 12%, the lowest level since 2021 to 2022. The company is producing its own short videos and entering live sports. The report cites BCG data indicating that the upper limit of media consumption in the U.S. is about 26 hours per week, showing a moderate decline since the peak of lockdowns. Moses Sternstein: Competition comes not only from other streaming services but also from short videos, with much of the recent media growth coming from background consumption while driving or working.In terms of computing power, the report cites Ornn Data stating that the rental price of every GPU in the chart series is higher than at the beginning of the year, including the oldest A100, which is about 9% to 143% higher compared to a 6-year straight-line depreciation. Moses Sternstein: Over a longer period, older A100 and H100 GPUs spend more time below that line, but have only shown significant strength since April this year, making comparisons over a longer period not entirely fair. According to OpenRouter, token demand surged sharply in spring, jumped again after a brief plateau at the end of summer, with token consumption for both open-source and closed-source models still following an exponential path, and the share of proprietary models slightly increased last week. The author states that OpenRouter only covers a very small portion, and these indices are not perfect proxies for actual token spending and GPU pricing.In manufacturing, the report states that computer production capacity and utilization rates are rising, with production increases being larger. The increase in communication and semiconductor production mainly comes from expansion, while the price increase for electrical equipment is the largest, but domestic production has slightly declined. The import increase of key categories of AI capital expenditures mentioned above far exceeds the domestic production increase in dollar terms. According to ADP, the increase in average weekly hours for industries related to AI construction is greater than that of other industries, and is generally greater than the net increase in personnel. Job switchers in manufacturing have about a 5 percentage point wage growth premium compared to stayers. Cybersecurity stocks remain strong in IGV this year, but have seen a larger pullback than the market since October. The revenue growth rate of large companies has mostly only increased by a few percentage points, with some experiencing declines, and stock price performance reaching up to about 125%, with Palo Alto Networks' revenue growth largely driven by acquisitions.

Huobi HTX Chief Analyst Andy: U.S. inflation heats up again, market re-trades "higher for longer"

Surrounding the unexpected rebound of the U.S. September CPI, Huobi HTX Chief Analyst Andy pointed out that inflation is spreading from energy to core prices. The U.S. September CPI rose year-on-year to 3.7%, and the core CPI rose year-on-year to 2.6%. Gasoline prices increased by 9.1% in a single month, contributing to more than half of the overall increase, but prices for housing, healthcare, and airline services also rose, indicating that this rebound cannot be fully explained by energy shocks.The data reinforces the Federal Reserve's "higher for longer" policy logic. The economy has not yet shown significant signs of recession, and the Federal Reserve lacks urgent reasons to shift to easing, needing to prevent inflation expectations from becoming unanchored. After the CPI announcement, U.S. Treasury yields and the dollar quickly rose, with the market raising expectations for subsequent interest rate hikes, leading to increased uncertainty in the interest rate path.For the cryptocurrency market, this change is slightly bearish in the short term. The market first trades on real interest rates, the dollar, and global liquidity; high inflation does not automatically favor Bitcoin. After the CPI announcement, Bitcoin weakened and fell below $82,000. In the medium term, it is necessary to distinguish between "energy-driven inflation" and "demand-driven inflation": if energy prices decline and core inflation no longer accelerates, the September data is more likely to be a temporary supply shock; if core service inflation continues to rise, then the high interest rate level may be maintained longer than expected. The direction of Bitcoin depends on whether inflation, employment, and long-term U.S. Treasury yields can jointly confirm a new policy path.

Famous trader: Bitcoin needs to hold above $80,000 and form higher lows; otherwise, the pullback may deepen

Renowned trader Killa stated that if Bitcoin is to evolve according to the current trend structure, it needs to form a higher low above $75,500, ideally also holding the low around $80,000. This is similar to the trend in 2023: at that time, Bitcoin formed a higher high on the weekly level, then retraced and held the original range. This may explain why the recent low time frame market seems so prone to triggering stop losses, with aggressive movements and traces of algorithmic trading.Bitcoin once reclaimed its internal structure in the $82,000 range, then retraced, broke the structure again, and then reclaimed it once more. The entire market seems to be deliberately enticing traders to enter. It must be acknowledged that the initial drop to the $81,000 range was not ideal from a structural perspective. However, there were a large number of shorts concentrated at the lows, which may explain the subsequent price reaction.Another detail worth noting is that during the drop from $84,100 to $81,000, only about $300 million in long positions were liquidated; whereas previously, during the drop from $86,800 to $80,600, the scale of long liquidations exceeded $2 billion. The significant decrease in long liquidation scale indicates that the current market's reliance on long positions may be lower than before. The current market situation is quite delicate. Bitcoin needs to form a higher low at the current position to initiate a new round of upward movement; otherwise, this pullback may bring the price below $80,000. As of now, the so-called "crash protection team" has done well in maintaining the price, but it is also continuously disrupting the internal oscillation range in the low time frame.

The success rate of the Zhipu legal model is nearly three times higher, and the testing cost is about one-seventieth of that of its competitors

The artificial intelligence company Zhipu released a legal-specific model GLM-Legal, which is further trained based on GLM-5.3-Flash. In the Harvey LAB evaluation covering 24 categories of legal services, the task pass rate increased from 6.7% to 19.2%, nearly tripling the original version, surpassing models like Kimi K3 and Claude Fable 5, and ranking seventh on the Vals AI leaderboard.When reviewing software service contracts, GLM-Legal suggested shortening the termination notice period from 60 days to 30 days and required service providers to offer up to 90 days of handover support. In another software project dispute involving 40 documents, it found that the company reported to the client that the project was 60% complete, while internal records indicated only about 41%. It also identified emails from the CEO requesting to conceal risks and continue charging, and analyzed potential legal liabilities in conjunction with contract terms.According to independent evaluations by Vals AI, the cost for GLM-Legal to complete a test is $0.15, while the closely performing Gemini 4 Argon costs $10.55, a cost difference of about 70 times. GLM-Legal took an average of 72 minutes, while the latter took 44 minutes. Zhipu stated that the model was trained specifically on legal data and conducted reinforcement learning in tens of thousands of simulated legal environments. Currently, GLM-Legal requires an API trial application.
app_icon
ChainCatcher Building the Web3 world with innovations.