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NVIDIA (NVDA.O) Chief Financial Officer stated that the company is fully focused on producing the next generation Vera CPU.

According to Techcrunch, AI Agent testing infrastructure startup Arga Labs announced the completion of a $10 million seed round financing, led by General Catalyst, with participation from institutions such as BoxGroup, Emergence Capital, Gradient Ventures, and SV Angel.The company aims to address the challenges of testing, training, and adapting complex business systems during the deployment of enterprise-level AI Agents by creating a complete digital twin environment for enterprise software, replicating permission systems, Webhooks, and system interaction logic, allowing AI Agents to train in an environment close to real work.

According to SoSoValue data, after a significant rebound, the overall cryptocurrency market is experiencing a general pullback, with only the Layer2 sector remaining relatively strong, rising 1.13% in 24 hours, among which Stacks (STX) increased by 16.73% and Polygon (POL) rose by 6.29%. In addition, Bitcoin (BTC) fell by 1.10%, dropping below $79,000; Ethereum (ETH) decreased by 1.61%, falling below $2,500.In other sectors, the DeFi sector dropped 0.38% in 24 hours, with Ethena (ENA) down 7.78%, but Hyperliquid (HYPE) rose by 1.89%; the CeFi sector fell by 1.65%, with OKB (OKB) down 3.12%; the Layer1 sector declined by 2.39%, with Zcash (ZEC) down 6.44%; the Meme sector decreased by 3.42%, while SPX6900 (SPX) rose against the trend by 13.33%; the PayFi sector fell by 3.99%, with Dash (DASH) down 10.10%.

According to informed sources, Meta Platforms has discussed the possibility of reaching a settlement during court proceedings with the attorneys general of multiple states in the U.S. The case accuses Meta of designing Facebook and Instagram to be addictive for teenagers, facing a maximum fine of $1.4 trillion.

According to TechCrunch, the robotics startup Generalist has secured nearly $200 million in additional funding led by 8VC, bringing its post-money valuation to approximately $3 billion. This funding is an extension of the $400 million Series B round led by Radical Ventures in June, increasing the total amount raised in this round to $600 million.Founded in 2024, Generalist's founding team includes former Google DeepMind researcher Pete Florence, Andy Zeng, and former Boston Dynamics engineer Andrew Barry. The company is developing AI foundational models adaptable to various robots; its latest Gen 1.5 model claims to enable robots to learn and complete new tasks through video demonstrations lasting only 3 to 12 seconds.

According to market news, New York AI startup General Intuition is in talks to raise funding at a pre-money valuation of $6 billion, with new investors including Valor Equity Partners, Point72 Ventures, and Seven Seven Six, while existing investors Khosla Ventures and General Catalyst are also participating in this round of financing.The company is building foundational models to train general AI agents to move through space and time. This financing comes just weeks after General Intuition completed a $320 million funding round at a valuation of $2.3 billion. CEO Pim de Witte spun it out from the video game clip sharing platform Medal last October, leveraging hundreds of millions of hours of gaming data and player operation records as the initial training dataset. The company is becoming one of the hottest startups in the field of physical AI.

As of August 24, Shanghai has added 1 generative artificial intelligence service that has completed filing, with the model name being Qianwen Task Assistant; a total of 188 generative artificial intelligence services have completed filing.

Stanford Business School Professor Ilya Strebulaev, in collaboration with Blake Jackson, released the 2026 Strebulaev-Jackson Venture Capital Firm Rankings, based on nearly 30 years of data from over 230,000 investments and nearly 13,000 VCs. The research estimates that about 5% of VCs generate approximately 90% of the industry's profits. The top five are Sequoia Capital (10,158 points), Andreessen Horowitz (8,292 points), Accel, DST Global, and Tiger Global. Among them, Parkway Venture Capital (19th place) and Notable (20th place) made it into the top 20, but are not well-known leading brands.The rankings are based on six major factors: discount valuation, dilution adjustment, net profit (after costs), value added (lead investments and board seats), human capital decay (three-and-a-half-year half-life), and credit allocation between institutions and individuals (25% for the investing institution and 75% for the current institution). Of the top 100, 62 are located in California, 19 in New York, and 6 each in Massachusetts and Texas. 21 were established in 2015 or later, and 23 of the best investments are in frontier AI or AI infrastructure companies, with OpenAI listed as the best investment by 4 firms, xAI by 3, and Anthropic and Perplexity by 2 each. The ranking methodology has a correlation of only about 0.27 with the Midas List, with SV Angel investing in about 139 unicorns ranked 31st, and Thrive with only 47 unicorns ranked 8th. This ranking is the result of research by Stanford professors and does not constitute investment advice.

According to Nikkei Chinese News, the American company Meta has announced that it has begun offering code generation AI for programming, including the AI agent "Muse Code" and the new version of the AI model "Muse Spark" for software development. Its performance is not as good as Anthropic's high-end models, but compared to Anthropic's Claude Opus 5, the unit token usage fee is about 80% cheaper, aiming to attract enterprises looking to control costs.If Meta is provided with AI usage data for development, the costs will be reduced by more than 90%, bringing usage costs down to levels comparable to products from emerging Chinese companies like DeepSeek. Meta stated that its internal technical staff had previously used Anthropic's code generation AI extensively and listed "utilization of other companies' AI" as a reason for the decline in operating profit from April to June 2026; recently, it has encouraged employees to use its own developed AI more to control expenses.Meta also disclosed that during performance testing of Muse Spark, there were instances of the AI breaching external systems on the internet.

According to Jinshi reports, the dark side of the moon Kimi announced that the company's first-generation trillion-parameter multimodal model Kimi K2.5 will end its service at the end of this month.

Web3 fitness application BRTFit announced that it is preparing for significant expansion in the Southeast Asia region and reiterated the arrangement for the distribution of 1 million BRT genesis airdrops. The final weighting will be 50% tBRT snapshot and 50% valid invited users. The genesis airdrop is not only aimed at early users; new joiners can also improve their ranking by staying active, exercising continuously, and inviting real users.Regarding the testnet rules, according to the latest iOS application version, if users stop exercising and do not meet the specified activity conditions, the testnet mechanism may deduct 10% of their total tBRT holdings. BRTFit calls on users to exercise more, invite more, and stay active to compete for shares of the genesis airdrop, and it states that the Southeast Asian market is coming soon.BRTFit is an application based on the BNB Chain's Move to Earn and DePIN direction, combining exercise data with token incentives, allowing users to join the ecosystem by searching for relevant entry points.

On August 24, SK Hynix is introducing advanced packaging technologies, including Intel's EMIB, for its next-generation HBM solutions and plans to eventually enter the 3D packaging era. At the 2026 Hot Chips conference, SK Hynix's Vice President of Packaging Engineering, Jaesik Lee, delivered a presentation titled "Advanced Packaging for High Bandwidth Memory," explaining how the company will leverage advanced packaging technologies to accelerate its HBM product roadmap.Currently, SK Hynix is exploring methods such as hybrid bonding to break through the limitations of 16-layer stacking. In the future, SK Hynix also plans to address power consumption challenges by increasing the number of TSVs, improving IO speeds of logic process integration, and optimizing power distribution networks. As of the time of publication, SK Hynix's stock rose by 1.71%.

According to Gate market data, as Bitcoin fell below $77,000, the crypto market experienced a pullback, with altcoins generally under pressure and declining. Among them:TAC is currently priced at $0.001672, down 40.86% in 24 hours;FHE is currently priced at $0.01978, down 30.03% in 24 hours;SQD is currently priced at $0.03, down 29.01% in 24 hours;PTB is currently priced at $0.0007364, down 27.11% in 24 hours;INX is currently priced at $0.006619, down 26.43% in 24 hours;BASED is currently priced at $0.07328, down 25.35% in 24 hours;SWARMS is currently priced at $0.007254, down 24.80% in 24 hours;BEAT is currently priced at $0.1342, down 24.18% in 24 hours.

Ethereum co-founder Vitalik Buterin published a new article titled "Obfuscation (Part 3): Local Mixing," which delves into a cryptographic obfuscation technique being explored—"Local Mixing." He claims it may become a new foundational cryptographic tool following elliptic curves, RSA, and lattice-based cryptography.Vitalik states that current mainstream obfuscation techniques mainly rely on complex mathematical assumptions, often resulting in extremely high computational overhead. In contrast, Local Mixing adopts a completely different approach, not relying on elliptic curves, large integer factorization, or lattice cryptography. Instead, it draws on experiences from symmetric cryptography and hash function design, continuously shuffling, reconstructing, and hiding circuit structures to eliminate information leakage while maintaining functionality.The Local Mixing technique primarily includes steps such as reversibility, hardening, mixing, splitting, crossing walk, and "gadgetization." By introducing random structures into the circuit, rearranging logic gates, and employing nonlinear hiding mechanisms, it makes it difficult for attackers to recover the original computational logic.Vitalik points out that this technology is still in its early stages, with security not yet validated over the long term and facing challenges such as random attacks and linear analysis. However, he believes that Local Mixing represents a completely new path for cryptographic exploration, aiming to construct more efficient indistinguishable obfuscation (iO) schemes.If breakthroughs in Local Mixing technology are achieved, it could lead to new quantum-resistant public key encryption schemes and promote the development of general obfuscation techniques. The field still requires years of cryptanalysis and optimization validation, but AI-assisted research may significantly accelerate this maturation process. Vitalik states that obfuscation technology is seen as the "final frontier" of cryptography because, theoretically, other cryptographic primitives can be constructed based on obfuscation and one-way functions. Local Mixing may not only reduce the costs of traditional obfuscation schemes but could also become an important direction for future cryptographic infrastructure.

Coldcard has released the latest firmware 5.6.1 (Mk4/Mk5) and 1.5.1Q (Q). This update is based on a three-week security review following an emergency fix, focusing on addressing the security risks posed by previous mnemonic phrase generation attacks. Each newly generated mnemonic phrase must include at least one user entropy source, such as irregular key presses at least 65 times, physical dice rolls 50 times, or physical coin tosses 128 times, combined with fresh entropy provided by STM32 TRNG, SE1, and SE2.The new firmware also adds pre-signing phased PSBT verification, strengthens USB connection and firmware update boundaries, improves Delta Mode isolation mechanisms, fixes active wallet backup issues, enhances random number generator initialization and fault checking, adjusts SIGHASH default settings, and includes multiple security and correctness improvements. Coldcard states that this update aims to further reduce the risk of the device being attacked.The official reminder is that updating the firmware cannot fix existing mnemonic phrases generated by previously affected firmware. If a user's mnemonic phrase falls within the scope of this security announcement, they should first update the device, then generate and verify a brand new mnemonic phrase, and migrate funds to the new wallet. Coldcard recommends that all Mk4, Mk5, and Q users update their devices promptly and verify the signatures of the downloaded firmware.

Alibaba announced that its latest generation AI processor, Zhenwu M890, has been widely commercialized among over 650 external customers. The chip, through Alibaba Cloud services, has been applied in more than 20 industries including autonomous driving, the internet, and financial services, validating its capability to support end-to-end AI workloads.

Binance co-founder He Yi cited data from the research team, stating that among users investing in U.S. stocks on the Binance platform, about three-quarters are net buyers, and about one-fifth have never sold. Generation Z users show the strongest willingness to hold long-term, with the highest net buying ratio and the lowest trading frequency. He Yi stated that this reflects how, after lowering investment barriers, a new generation of investors is participating in the market with patience and a long-term perspective.

Cerebras released its fourth-generation AI inference system CS-4 this week, based on the same 5nm WSE-3 wafer, achieving double the performance by doubling the clock frequency and power consumption. A single CS-4 cabinet accommodates 3 wafers (CS-3 has 2), featuring a modular "backpack" design that simplifies manufacturing and deployment, with a TDP of approximately 125 to 135kW. The CS-4 can provide an inference speed of nearly 4000 tokens/second/user, about twice that of the CS-3, and supports decomposed inference with heterogeneous systems such as AMD and AWS Trainium.Cerebras claims that the CS-4 offers about 2000 times the on-chip memory bandwidth of NVIDIA's Rubin (43PB/s), but the 44GB SRAM capacity remains unchanged, and long-context inference still requires multi-wafer stacking. For example, with the DeepSeek V4 Pro (1.6T parameters), approximately 20 systems are needed for a 1M context window, and about 40 systems are required for 256 concurrent users, corresponding to a CAPEX exceeding 20 million USD. Cerebras is collaborating with clients such as OpenAI and plans to achieve approximately double performance improvements each year, aiming for a 20-fold throughput increase by 2027. The "backpack" cabinet design of the CS-4 will continue into the next-generation "Nexus" platform.

Eclipse founder Neel Somani published an analysis stating that by leasing diesel generator sets, AI data centers can bypass grid access bottlenecks and complete deployment within months. Taking a 50MW inference data center as an example, about 40 leased diesel units are needed (monthly rent of approximately 2 million USD), consuming about 2.5 million gallons of diesel each month (approximately 12.5 million USD), with the cooling system costing about 1 million USD, and the total hardware investment being about 1.9 billion USD (including approximately 21,000 GPUs and supporting network equipment). Based on similar leasing agreements like Colossus 2, monthly revenue could reach approximately 180 million USD.