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first_img Data: In the first half of 2026, there were only 2,932 active job openings in the cryptocurrency industry, a drop of over 97% compared to the peak in 2022

According to the latest report from Tiger Research, as of June 18, 2026, the number of active job openings in the cryptocurrency industry is only 2,932, a significant decrease of over 97% from the estimated peak of about 130,000 in 2022.The report shows that the wave of layoffs in the cryptocurrency industry continues in the first half of 2026. March was the month with the highest concentration of layoffs, with several companies including Gemini, Crypto.com, Algorand, OP Labs, PIP Labs, and Messari announcing layoffs at the same time. Some companies were acquired at low prices after multiple rounds of layoffs; for example, Messari was acquired by Blockworks for about $10 million in June 2026 after experiencing three rounds of layoffs, while its previous valuation had reached $300 million.In terms of recruitment structure, positions in centralized exchanges (CEX) account for the highest proportion, reaching 30.8% (904 positions), mainly contributed by OKX, Bybit, and Binance. The stablecoin and payment sector accounts for 13.4%, but is highly concentrated in two companies, Tether and Ripple.In addition, the demand for AI skills in job postings continues to rise, with the proportion of cryptocurrency job postings mentioning artificial intelligence skills increasing from 23% in early 2025 to 53.1% in March 2026.

Kimi B's head of the department: There is a bubble in the AI industry, but the fundamentals are solid; the price increase of APIs is due to tight computing power

According to a report by 21 Finance, Huang Zhenxin, the head of Kimi B-end at Moonshot AI, stated in a recent communication meeting that there is indeed a bubble in the current AI industry, but the fundamentals are very solid. Enterprises can now clearly calculate the return on investment (ROI), and the substantial transformation in productivity brought by AI has already occurred.Regarding the recent phenomenon of widespread price increases among model vendors, Huang Zhenxin pointed out that the core reason lies in the rising global computing power costs, and chip production capacity cannot meet the explosive growth in Token demand. He emphasized that evaluating the cost-performance ratio of models should not only look at the unit price of input and output but should also focus on the Cache hit rate. It is reported that Kimi's original factory Cache hit rate has reached over 90%, significantly reducing actual computing costs.In addition, Huang Zhenxin revealed that Kimi will continue to challenge innovations in underlying architecture to sustain the Scaling Law, and its Muon optimizer, which has been validated on a large scale, is now widely adopted by several mainstream large models in the industry. Regarding the "last mile" of enterprise AI implementation, he believes that as the foundational capabilities of models continue to strengthen, the technical paradigms at the application layer will also continue to simplify.

Coinbase: Has reduced AI spending by nearly 50% and is trying to default to adopting open weight models

Coinbase CEO Brian Armstrong published an article introducing the company's latest progress in AI cost optimization.Armstrong stated that as the usage of AI and Token consumption continues to grow, the key to controlling costs is not to restrict employee usage or frequently send budget reminders, but to optimize default model selection, task routing mechanisms, and caching strategies.He revealed that Coinbase is trying to use open-weight models such as GLM 5.2 and Kimi 2.7 as default options through an internal LLM gateway, while still allowing engineers to choose other models based on specific task requirements. Data shows that 91% of the company's employees have never reached the AI usage quota limit, so Coinbase has not chosen to tighten quotas but instead improved overall efficiency through lower-cost model solutions.In terms of model routing, Coinbase preprocesses prompts and, combined with cache hit rates and the pricing of different models, automatically assigns tasks to the most suitable model. Armstrong believes that complex tasks such as planning and reasoning may require support from cutting-edge models, but execution tasks do not necessarily need to invoke higher-cost models. In the future, the model selection process should be more automated by AI rather than relying on manual decisions.Additionally, he pointed out that cache hit rate is one of the important factors affecting AI costs. Coinbase has incorporated a cache-aware mechanism into the request process to improve the reuse rate of historical results. For example, in the case of LibreChat, after optimizing the caching solution, its cache hit rate has increased from 5% to 60%.Armstrong also stated that the company requires engineers to keep context as concise as possible, including starting new sessions when switching tasks, narrowing the context scope of files, and closing unused tools, to reduce unnecessary Token consumption.According to him, through these measures, Coinbase has successfully reduced AI spending by nearly 50%, while Token usage continues to grow.

Ansem: Pessimism has reached an extreme, and the current entry point for Bitcoin is a good trading opportunity

Crypto KOL Ansem reiterated the long-term investment logic of Bitcoin, stating that despite previously holding a bearish stance, the current price level presents a good buying opportunity. He pointed out that the core narrative of Bitcoin as the hardest currency remains unchanged—it's not subject to government seizure, can be transferred across borders instantly, and is not affected by the long-term depreciation of the dollar, making it an ideal vehicle for long-term wealth storage. The performance of gold outpacing Bitcoin between 2024 and 2025 temporarily undermined the "digital gold" narrative, but he believes that as long as price momentum rebounds, market confidence can be restored.On a macro level, Ansem believes that with the reopening of the Strait of Hormuz and the expected easing of inflationary pressures, the Federal Reserve's hawkish stance may be nearing its peak, at which point both Waller and the Federal Reserve will have room to cut interest rates rather than continue raising them; the strength of the dollar and rising interest rates exert pressure on gold, but if profits from AI stocks flow into real estate, cash, and long-term value storage assets, both gold and Bitcoin will benefit; institutional investors like Paul Tudor Jones still show interest in Bitcoin.Previously, Ansem candidly admitted to being bearish on Bitcoin due to Saylor's (founder of Strategy) position risk, once believing that $60,000 would be hard to maintain, but he stated he is now responding to buy signals. He noted that the current price action has priced in the worst-case scenario of Saylor being forced to sell, and even if he truly needs to sell, it would not happen for at least six months. He concluded that Bitcoin is currently at the intersection of long-term historical support levels and the most pessimistic market sentiment he has observed, making entry at the beginning of Q3 a trading opportunity worth paying attention to.

Gate stocks are listed on the US, Hong Kong, and South Korean markets for 24/7 trading, marking the entry of global stock investment into the all-weather era

According to the official announcement, Gate Stocks has officially launched 7×24 hour trading services for US stocks, Hong Kong stocks, and Korean stocks. Building on the existing pre-market, intraday, and after-hours trading, it further supports overnight and weekend trading, breaking through the traditional securities market trading time limitations. It has become one of the first platforms in the industry to offer round-the-clock trading across the three major stock markets of the US, Hong Kong, and Korea, providing users with a more flexible and efficient global stock trading experience.Currently, Gate Stocks has formed a global stock trading system covering the three core markets of US stocks, Hong Kong stocks, and Korean stocks, supporting over 10,000 US stocks and ETFs, more than 1,500 Hong Kong stocks, and over 1,000 Korean stocks, totaling more than 12,500 stock and ETF assets worldwide, including globally representative listed companies such as Apple, NVIDIA, Microsoft, Tencent Holdings, Xiaomi Group, Samsung Electronics, and SK Hynix. Users can participate in global stock investments through a unified account using USDT, enjoy stock dividend rights, and support fractional trading starting from as low as 0.01 shares, further lowering the threshold for global asset allocation.At the same time, Gate Stocks has fully integrated into the platform's VIP level system. Users with holdings of $2,000 or more can upgrade to VIP status, enjoying an exclusive trading fee rate of as low as 0.023% and 1V1 customer manager service. In the future, Gate will continue to expand its global market coverage and improve its multi-asset trading service system, creating a more open, convenient, and efficient one-stop investment platform for global users.

The tech industry is experiencing a wave of AI-driven layoffs, with giants like Oracle and Amazon significantly reducing positions

According to the latest industry reports and corporate disclosure documents, the technology industry is experiencing a large-scale wave of layoffs driven by artificial intelligence (AI) in 2026. Despite several companies achieving record high revenues, major tech giants are intensively restructuring their organizational frameworks to reallocate funds towards AI infrastructure development and to enhance operational efficiency through AI. Data shows that in May of this year, the number of layoffs in the tech industry reached the highest monthly record in years, with AI being the core reason for the layoffs.On the execution level, several leading companies have implemented large-scale personnel reductions. Oracle's latest documents reveal that in the past 12 months, 21,000 employees (approximately 13% of the total workforce) have been laid off due to internal AI technology deployment. Amazon cut 16,000 corporate positions in January this year, with management expecting that the widespread application of generative AI will significantly reduce the demand for traditional roles. While Meta laid off about 8,000 employees, nearly 7,000 were reorganized into core AI business positions. Block significantly reduced its workforce by 4,000, nearly halving its total number of employees to adapt to the flattened operational model brought about by AI tools.Additionally, companies including Cisco (4,000 people), Intuit (3,000 people), Atlassian (1,600 people), Cloudflare (1,100 people), Snap (1,000 people), as well as Coinbase, Salesforce, and others have announced substantial layoff plans related to AI transformation this year. At the same time, although Google, Microsoft, and IBM have not disclosed specific total layoff numbers, they are also continuously advancing rolling job replacements and restructuring linked to AI strategies.
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