Morgan Stanley: The Federal Reserve will hold interest rates steady despite Walsh’s hawkish signals.

Beating AI News reports that AI inference startup Gimlet Labs has closed a new $300 million funding round, lifting its valuation to $3 billion. Andreessen Horowitz (a16z) led the round, with new participation from Arm and Microsoft’s M12. Gimlet operates a multi-chip inference cloud, which splits individual AI inference tasks across stages to run on the most suitable chips. The startup has secured funding at a rapid pace: roughly six months ago, it closed an $80 million Series A round; less than a year prior, it raised a $12 million seed round, bringing its total three-round funding to $392 million. CEO Zain Asgar noted the latest round was finalized quickly because the company received multiple unsolicited term sheets from investors. Originally focused on chip orchestration software, Gimlet has since expanded to assisting clients with data center construction and is building its own data center facilities. Different chips have unique requirements for cooling, temperature, and server configurations, so strong software alone is insufficient—entire data center rooms must be redesigned accordingly. For instance, prefill and decoding in AI inference have distinct demands: the former is more compute-intensive, while the latter relies heavily on memory bandwidth. Gimlet can assign these tasks to chips from different vendors. Arm is both an investor and partner in this round; the two parties will also collaborate to adapt Gimlet’s software to more Arm chips.

Today, AMC, a U.S. publicly traded company, saw its CEO engage in a debate with Robinhood’s founder over the legality and rationality of U.S. stock tokenization. Taking this as an opportunity, the meme coin "MEME"—backed by AMC stock—hit a "mythical" milestone of surpassing $100 million in market cap in a single day. Meanwhile, AMC’s post-market trading once surged over 20%. As of this afternoon, the latest development is that AMC CEO Adam Aron has demanded Vlad Tenev and Robinhood voluntarily halt AMC stock token trading; otherwise, AMC has retained external securities lawyers to explore whether it can take measures to force a stop. He also stated he will submit inquiries to the U.S. Securities and Exchange Commission (SEC) regarding Robinhood’s practices. In today’s BlockBeats article titled "The Extreme Emotional Rush of $150 Million: AMC’s Short Squeeze Comes Full Circle Every 5 Years," a quantitative analysis was conducted on the practical possibility of short squeezing AMC stock amid the MEME craze. The article notes that based on the current volume of AMC stock in MEME’s liquidity pool, achieving a short squeeze on the underlying stock is "still several orders of magnitude away." Due to time zone differences, as of press time, related events have temporarily cooled down: AMC’s pre-market trading gain has fallen back to 6%, and MEME’s market cap has also dropped below the $100 million mark. However, BlockBeats believes that if the incident continues to escalate, Robinhood’s founder firmly adheres to the crypto-stock meme route, and the debate between the two sides expands to a broader scope, MEME’s popularity and market cap keep rising, the crypto community may still potentially seize the pricing power of AMC’s underlying stock.

Beating AI News Flash: Bloomberg cited people familiar with the matter that DeepSeek plans to deploy at least 160,000 Huawei Ascend 950DT chips at its AI data center under construction in Ulanqab, Inner Mongolia. If the plan is realized as scheduled, this will become one of the largest known Huawei AI chip clusters to date. DeepSeek also intends to purchase more chips, but Huawei’s production capacity cannot meet demand for now, with full delivery expected to take over a year. The 950DT chips will be used to run DeepSeek’s models; the company has no current plans to use them for model training. To date, DeepSeek still relies mainly on NVIDIA GPUs for core training. The 160,000 chips are only part of the overall project. DeepSeek previously planned to build a roughly 1GW-level AI data center in Ulanqab, and will rent additional computing power from other local operators.

Beating AI Express: ByteDance has secured a roughly $29.6 billion syndicated loan, setting a new company record and marking the second-largest dollar-denominated loan in Asia this year, trailing only SoftBank’s approximately $40 billion bridge loan. The firm had initially planned to borrow just $20 billion, but strong demand from participating banks pushed the total size up to nearly $30 billion. While the loan is not officially disclosed as being specifically for AI, with its stated purpose being general corporate use, ByteDance is sharply ramping up capital expenditure—focusing on expanding AI data centers and computing power infrastructure, while continuing to invest in models such as Doubao and Seedance, and expanding its enterprise-facing cloud business. Chinese tech giants’ AI financing activities are also continuing to scale up. Alibaba raised roughly $10.2 billion via a share placement last month, explicitly earmarking all proceeds for AI. ByteDance’s latest move, bringing its largest-ever loan to nearly $30 billion, signals that the AI race has evolved from competition in model capabilities to a battle over balance sheets.

Binance Wallet announced in a post that Cash Cat (CASHCAT), UP (UP), and Artificial Inu (AI) have been added to Binance Alpha 1.0 on September 4, 2026.

Web3 project ClawQuest has launched AIP2-1.0, a game creation agent. Short for "AI Player Two", AIP2 operates on a model where players generate concepts and make choices, while the AI leverages tools to turn those ideas into functional, playable game content. AIP2-1.0 is now undergoing its first public trial in ClawQuest’s AI Agent title, Agent Fire. In testing, AIP2-1.0, GPT-5.6 Sol, and Claude Opus 5 were assigned the same 8 tank skill optimization tasks, each completing 300 final battles for a total of 2,400 matches per model. Results show AIP2-1.0 earned a composite score of 76.06, outperforming Claude Opus 5’s 73.96, and falling just 0.79 points short of GPT-5.6 Sol’s 76.85. For all 8 tasks, AIP2-1.0 incurred a model call cost of $20.69 — less than 12% of Claude Opus 5’s cost, and roughly 25% of GPT-5.6 Sol’s. Players can access AIP2-1.0 directly via the Agent Arena Bot on Telegram, with no need to deploy their own agent. ClawQuest aims to enable more players to participate in AI-powered game content creation through lower costs and a more streamlined entry point.