Solana-based Meme Coin WOJAK Hits $20 Million Market Cap, Reaches All-Time High

Latest data from global economic research and analysis platform QUICK FactSet shows that in Q2 2026, ChangXin Memory Technologies (CXMT) posted an 82% EBIT margin, surpassing SK Hynix (76%) and Samsung Electronics' semiconductor business (70%) to become the world’s most profitable memory chip manufacturer in the period. In the same timeframe, ChangXin’s revenue surged roughly 10-fold year-over-year, marking the highest growth among the six firms: ChangXin, Samsung, SK Hynix, Micron, Kioxia, and SanDisk. Analysts attribute ChangXin’s rising margins to recent supply-demand shifts in the memory chip market. As Samsung, SK Hynix, and Micron allocate more resources to high-bandwidth memory (HBM) for AI servers, supply of general-purpose DRAM has tightened, driving a sharp jump in DDR5 prices that has benefited ChangXin.

Beating AI Express (Insight): AI Agent startup NeoCognition has released ApprenticeBench, a benchmark specifically designed to test whether AI can learn a job independently like a new hire. The first version places an Agent at a simulated California construction company to handle accounts payable: it reads six months of historical bills, company manuals, and Odoo tutorials, then processes 100 bills over seven consecutive months, with rule changes and supervisor feedback occurring throughout. Results show Fable 5.1 achieved a 72% success rate, GPT-6 Astra hit 68%, while the best human test subject scored just 51%. The task includes invoice entry, error detection, cost code allocation, vendor outreach, approval routing, and learning internal company rules from historical records and feedback. Notably, the two models performed slightly better when directly operating the GUI than when calling APIs, largely eliminating the performance loss common in Computer Use scenarios. However, the "surpassing humans" finding is limited to this single simulated role, with only two human test samples. Cost is also higher: Fable 5.1 averages $18.23 per task, compared to ~$7.21 for humans. Humans grow faster over time, while Agents slow down as they accumulate more stored information.

Well-known trader Killa has shared statistics showing that after the last three U.S. CPI releases, BTC has risen more than 5% within 8 days. Killa believes the market has already priced in negative news, and a bear trap has been set. “We’ll see if a similar pattern emerges this time.” As a BTC-focused quantitative trader, Killa accurately predicted the peak of the current bull market in May 2025 and boasts over 200,000 followers on X. In mid-April, he shorted Bitcoin at $74,688, then switched to a long position during the broad market sell-off on June 5.

Robinhood-linked crypto, stock, and meme coin issuance platform Pons announced that it has added new stock tokens SNOW, RCAT, SEWY, LMT, INTC, NET, BA, GLXY, RKLB, and CEG as base pools for its newly issued tokens. Stock Meme refers to an emerging concept combining traditional meme coins and tokenized US stocks: instead of pairing with USDT or ETH, meme coins now form trading pairs directly with on-chain US stock tokens (such as NVDA, TSLA, AAPL). This model retains meme coins’ high volatility and community-driven speculative attributes while leveraging the hype and narratives of real stocks. Additionally, a portion of transaction fees is returned to the community treasury to accumulate the corresponding US stock tokens, forming a dual-driven model of "sentiment speculation + real asset anchoring".

According to GMGN market data, the market capitalization of Commodity Market Exchange (CME), Robinhood’s on-chain token issuance platform, has exceeded $15 million, currently standing at $15.85 million, with a 14-fold increase in a single day. Public information shows that the platform supports token issuance paired with tokenized commodities as the underlying pool. BlockBeats reminds users that the relevant protocol is in its early stages, carries substantial uncertainty and high price volatility, so users should exercise caution with their investments.

According to Bitget's market data, the Nikkei 225 index closed down 1.93% to 64,011.34 points; South Korea's KOSPI index closed down 1.76% to 6,909.92 points. Among heavyweight stocks, SK Hynix fell 2.21% and Samsung dropped 3.53%.