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Sun Yuchen revealed his life strategy: integrating Buffett, Musk, and Trump, and self-proclaimed as the "Fourth Giant" of Penn

Recently, Sun Yuchen discussed his personal communication and life strategy role models in a conversation with Jin Ming, stating that he does not simply imitate one person, but is a "hybrid mix" of Elon Musk, Donald Trump, and Warren Buffett.Sun Yuchen mentioned an interesting coincidence that all three are alumni of his alma mater, the University of Pennsylvania. As he integrates the strategies of these three individuals, the outside world has begun to jokingly refer to the emergence of a "fourth giant," namely Sun Yuchen himself. In terms of specific strategy breakdown, he stated that his investment and risk control fully absorb the value investment philosophy that Buffett and Munger emphasize on fundamentals, bringing an old-school playbook into the crypto space, which instead creates a dimensional advantage.In terms of business growth and communication, Sun Yuchen pointed out that Musk compensates for Buffett's shortcomings in technology narratives and expectation-driven approaches, forming a dual drive of fundamentals and high-tech high growth. Regarding personal branding and communication, he mainly draws inspiration from Trump, even admitting that he initially learned spoken English by following Trump's show "The Apprentice."Sun Yuchen also shared an interesting anecdote, stating that there is actually a "mutual disdain law" among these three. For example, when he once suggested to Buffett during dinner that he acquire Tesla during its low point, Buffett declined, as he believed that if a company is too disruptive and full of "surprises," it does not align with his investment style.

first_img The messaging protocol XMTP will transition to a self-hosted open-source stack, and the Labs network will shut down in early 2027

The messaging protocol XMTP founder Shane Mac stated that XMTP will evolve into a self-operating open-source messaging stack, providing private conversations between people and agents, with infrastructure controlled by users, without requiring tokens or wallets. The network hosted by XMTP Labs will shut down in early 2027.Shane Mac mentioned that he founded XMTP five years ago because he believed that private messaging should not be owned by a single company. He recalled that the team envisioned using wallets as cross-application identities, allowing messages to follow identities, and using tokens to pay infrastructure operators, but this path was not realized. XMTP has never issued tokens and will not issue them now. He admitted that it was a wrong decision to persist with a single shared network for a long time, as developers have consistently requested the ability to self-host XMTP. Therefore, it has shifted to self-hosting, allowing developers to use, inspect, modify, and maintain the entire software suite without relying on Labs. Former employees will assist in maintaining the protocol, and Shane Mac himself will continue to be involved.The article introduces that self-hosted XMTP offers quantum-resistant end-to-end encryption, private one-on-one and group chats, encrypted identities, and message authenticity, as well as SDKs for mobile, web, server, and agents. Chief Technology Officer Nick Molnar has simplified the backend to a single Rust binary and integrated attachments, push notifications, handles, and signed webhooks for new messages. Each self-hosted network does not automatically interconnect by default, and agents from different tools must connect to the same backend to share conversations.

first_img Pump.fun Co-founder Alon: Self-developed cross-chain bridge has been launched, purchase error rate has decreased by 92%

The co-founder and Chief Operating Officer Alon of the meme coin issuance platform Pump.fun stated that the team had previously focused on launch pads for a long time and only began supporting cross-chain exchanges about 5 months ago. After investigating the cross-chain service provider Relay used at that time, he noted that over one-ninth of cross-chain purchases on Relay encountered errors, with typical purchase landing times close to 4 seconds, and one-tenth exceeding 7 seconds. The number of tokens users received was usually less than expected. He also mentioned that the social trading application FOMO still relies on Relay.Alon stated that the self-developed cross-chain bridge Pump Bridge has been opened to all Pump.fun application users. Compared to Relay, the purchase landing speed has improved by 2 times, and the error rate has decreased by 92%, dropping from over one-ninth to less than one percent. Users can obtain more tokens on average with the same amount of funds, and currently, no additional cross-chain fees are charged. He mentioned that due to the limitations of light speed and target chain confirmation time, the theoretical fastest landing time for purchases is about 1.1 seconds, and the team is still working to reduce the remaining gap.The above comparison comes from random tests conducted in the Pump.fun mobile application from September 28 to October 7, covering Robinhood, BSC, Base, Arc, and Ink, excluding Ethereum, with a total of 416,669 transaction results recorded. Among them, 383,326 transactions recorded the time taken from click to successful prompt, and an additional 35,333 transactions of completed USDC purchases under $500 were used for comparison. Alon also stated that the platform fee rate is 0.45%, with Callout rewards of at least $300,000 daily, totaling about $20 million over two months, and the platform does not retain platform fees.

first_img Amazon launched the open-source tool TorchNeuron, lowering the threshold for transitioning to self-developed chips

Financial Associated Press, October 20 - Amazon launched the open-source tool TorchNeuron on the 19th local time, aiming to lower the barrier for developers to transition from NVIDIA chips to its self-developed chips, challenging NVIDIA's software barrier built on CUDA. According to reports, this tool allows AI code written in PyTorch to run on Amazon's self-developed AI chips without the need for rewriting. PyTorch is maintained primarily by Meta and is described as an open-source framework used by most AI developers.Amazon's chip design department, Annapurna Labs, introduced that with TorchNeuron, developers only need to modify one configuration to run the same code on the self-developed Trainium chip. Amazon announced the launch of this tool on the 19th local time and plans to publicly release it in a free open-source format at the PyTorch conference in San Jose, California on the 20th.Colin Brace, Vice President of Software at Annapurna Labs, stated in an interview that the launch of TorchNeuron is intended to reduce the steps required for developers to try Amazon's self-developed chips, starting from the customers' existing workflows. He revealed that over 30 early customers are already using it, covering fields such as robotics, world models, and voice AI, and mentioned that switching to Amazon chips can save costs.

first_img The Central Bank of Russia prohibits withdrawing funds from regulated cryptocurrency accounts to self-custody wallets

On October 12, the Central Bank of Russia clarified in its updated guidelines that individuals are not allowed to withdraw cryptocurrency from regulated digital accounts to self-custodied wallets. The Central Bank stated that this restriction is based on Article 31(9) of the new Russian cryptocurrency market law (Federal Law No. 282-FZ), which will take effect on September 1, 2026. Digital accounts are statutory accounts used to record crypto assets, and digital custodians are registered institutions that register and transfer these assets and provide access to wallet addresses.This restriction applies to the withdrawal of funds under the regulated custodial system in Russia. For withdrawals from ordinary investment accounts, the rules cover resident individuals and do not provide exemptions for qualified investors. According to Article 31, individuals who pass the required tests and receive risk disclosures can transfer cryptocurrency to wallets managed by legally authorized foreign custodians, which is different from withdrawing to personal wallets outside of institutional custody. The law also sets exceptions for foreign trade settlements and mining.The Central Bank also stated that transfers between individuals using addresses managed by digital custodians are not allowed, including transfers generated from transactions between individuals. The aforementioned provisions belong to the general cryptocurrency market law and are not rules applicable only to participants in experimental projects. The Central Bank indicated that direct peer-to-peer transactions between individuals are only permitted until July 1, 2027, when Article 30(1) will take effect; thereafter, residents who are not authorized as intermediaries in the cryptocurrency market must complete transactions through or with the participation of authorized intermediaries, with optional channels including licensed brokers and operators of cryptocurrency exchanges listed in the Central Bank of Russia's registry.

The founder of Hyperliquid proposed a new regulatory approach: regulate trading service providers, rather than the blockchain itself

The co-founder of the decentralized perpetual contract platform Hyperliquid, Jeff Yan, stated in an interview with Bloomberg's "Odd Lots" podcast on October 15 that regulatory obligations should be imposed on financial service providers operating markets on the Hyperliquid blockchain, rather than on the blockchain network itself, to reduce the compliance burden for the platform entering the U.S. market.Yan likened this idea to internet infrastructure, believing that the blockchain, as the underlying liquidity and trading infrastructure, should not bear all the regulatory responsibilities of traditional trading platforms directly, but rather the service providers that actually operate the markets and hold relevant control should fulfill compliance obligations. He stated that Hyperliquid does not aim to replace traditional financial institutions on Wall Street, but hopes to provide them with underlying trading technology, similar to how Amazon Web Services provides computing infrastructure to businesses.Yan mentioned that the team is seriously advancing the development of Hyperliquid into an infrastructure covering various financial markets. Currently, Hyperliquid is still not open to U.S. users, but Kraken's parent company Payward has planned to offer derivative services to U.S. investors through a regulated trading platform, utilizing its technology.

first_img Microsoft launched its self-developed AI chip Maia 300, with the key small chip using TSMC's 2-nanometer technology

According to a report by Central News Agency citing Reuters, Microsoft announced the launch of its third-generation self-developed AI chip, Maia 300, with plans to deploy over 1 million units next year to support internal AI services. The small chip responsible for key computing functions uses TSMC's 2-nanometer process. The Maia 300 can handle code writing and perform complex business tasks on behalf of users. The previous generation of chips has been used to run Microsoft's internal AI models and the OpenAI models provided through Microsoft Azure cloud computing services.Microsoft is taking a different technological approach compared to NVIDIA. The NVIDIA AI accelerator uses a large computing chip surrounded by high-bandwidth memory chips; the Maia 300 core processing unit is composed of small chips, with the small chips responsible for key computing functions using TSMC's 2-nanometer process, while other small chips use the lower-cost 3-nanometer process to handle data transmission out of the processor and transfer data to other locations within the system.The Maia 300 will be installed in cabinets, with each cabinet accommodating 96 chips and consuming about 167 kW of power. In contrast, NVIDIA's latest GB300 AI server cabinet is configured with 72 GPUs and consumes about 142 kW of power. Microsoft stated that it plans to deploy the Maia 300 on a large scale starting next year, reaching several gigawatts. Microsoft previously indicated that it expects its capital expenditures to exceed $175 billion this year.

first_img Anthropic: Small models may self-replicate on IoT devices

On October 12, 2026, William Zhou and Daniel Freeman, frontier red team researchers at the artificial intelligence company Anthropic, published a study. The article states that small models may have the ability to self-replicate on commercial IoT devices such as smart ovens and generic Android TV boxes within months. These replicas do not have a single shutdown point, and the doubling time may be measured in days, potentially adapting to unfamiliar devices on their own.Evaluation shows that a 9B model completed inference on 8 out of 9 hardware types. Models of 30B and below have been able to complete many single steps of replication, but errors occur when combined end-to-end; in simplified evaluations, GLM-5.2 and stronger models can achieve end-to-end replication. The team also distributed Gemma4-26B-A4B across 15 generic Android TV boxes, each costing about $55, operating at a speed of approximately 0.39 tokens/second, with each box holding two layers of the model.End-to-end testing was conducted on 8 GCP nodes behind a firewall, propagating through an unauthorized ADB port and setting up Llama 3.1-8B inference. Among the tested open-source models, only GLM-5.2 completed replication fully, transmitting to all 8 nodes in 4 out of 5 trials. The article divides autonomous replication and adaptation into four steps: discovering the target, obtaining execution, establishing inference, and continuing propagation from the new host, stating that there are currently no complete uncontrolled replicas.

first_img Sean Bowe: Justin Drake Quantum Early Warning Will Self-Undermine Credibility

Tachyon co-founder Sean Bowe posted on X, criticizing Ethereum Foundation researcher Justin Drake's recent warnings about quantum threats. He stated that such vague alerts would cause harm on multiple levels and become self-harm for their quantum advocacy work.Sean Bowe stated: The threats from quantum and artificial intelligence are real, and industry teams are making prudent decisions on how to practically address risks and help users deal with uncertainty. Some teams have strong judgment from cryptographers, while others need to refer to trusted experts; due to the complex dimensions involved, the relevant trade-offs are almost impossible to explain to non-cryptographers, and experts should remain calm and take corresponding responsibility.He also mentioned that once the situation is clarified, people may find that this is at most an unintentional promotional move, resulting in a significant loss of trust, and no one knows how to proceed afterward. He believes that the judgment regarding the relevant direction is correct, that previous warnings were meaningful, but they have gradually turned into uncontrolled predictions lacking feedback constraints, which will long-term affect trust in reasonable concerns about classical cryptography. He pointed out that the other party admitted that there was no new information driving this and asked Justin Drake to explain why he thought this approach was correct.

first_img Cuomo: The cryptocurrency industry bets heavily on the Republican Party, distancing itself from the Democratic Party

Former New York Governor Andrew Cuomo stated during a panel discussion at the Token2049 conference with OKX CEO Star Xu that if the cryptocurrency industry wants to push for federal-level cryptocurrency legislation, it must maintain a balance between supporting the Democratic and Republican parties. He pointed out that the industry previously "believed that heavy investment in the Republican Party" would help pass the CLARITY Act, but "when you heavily invest in the Republican Party, you inherently alienate the Democratic Party."According to data tracked by Tech Influence Watch, cryptocurrency-related political action committees have spent $54.3 million supporting the Republican Party and $26.2 million supporting the Democratic Party in the 2026 election cycle, with an additional $23.2 million spent opposing Democratic candidates. Cuomo stated that passing legislation requires support from both the Democratic and Republican parties and should be more balanced. He also refuted the notion that the Democratic Party is inherently opposed to cryptocurrency, arguing that cryptocurrency is actually well-suited for the Democratic Party because it empowers individuals who previously could not access financial products. Prediction market Kalshi data shows that the probability of the Democratic Party winning both houses of Congress is about 61%.In terms of background, the House of Representatives passed the CLARITY Act in July 2025 with the support of 78 Democratic representatives and 216 Republican representatives, while 134 Democratic representatives voted against it; in June 2025, the Senate passed the GENIUS Act with support from 18 Democratic senators.

first_img Matter Labs open-sources Prividium permission engine, German central bank tests self-hosted deployment

On September 8, the ZKsync development team Matter Labs announced that it has open-sourced the permission engine of its privacy blockchain platform Prividium for financial institutions under the Apache 2 license. This engine is responsible for managing roles and access permissions on the chain, determining who can read and write data. After the open-sourcing, institutions can run the permissioned chain in their own environment based on the public code without signing commercial agreements, and can independently inspect, run, and modify the core code, reducing reliance on a single vendor.The Deutsche Bundesbank became the first institution to test and deploy the open-source permission engine in its own infrastructure. Matter Labs stated that both parties will continue to collaborate on platform design and testing. Prividium achieves privacy by keeping transaction data within the institution, only recording zero-knowledge proofs that the ledger has been correctly updated on Ethereum or other compatible chains. Previously, the core of ZKsync OS, Atlas sequencer, Airbender prover, interoperability contracts, and block explorer and monitoring components have been open-sourced.Matter Labs CEO Alex Gluchowski stated that feedback from regulators indicated that relying solely on commercialized core components leads to unacceptable single vendor dependency, and the ability to run, inspect, and modify the code independently is a prerequisite for adoption. He also pointed out that this open-sourcing does not change the role of the ZK token, only adjusting which parts of the Prividium software are public code and which remain commercial products. Connectors such as management consoles, user access tools, and core banking system integrations remain paid products.
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