agent

Arthur Hayes says more ways to earn extra FLOP airdrop allocations through Agent coordination are coming next week
Cobo co-founder Shenyu says human will matters more in the AI era and Bitcoin remains the better gold
Shenyu
2026-08-26 08:55:19

Cobo co-founder Shenyu says AI is reshaping execution, while Bitcoin and Agent adoption remain central to his investment view

Cobo co-founder Shenyu used a wide-ranging conversation with Jilian Technology founder Jin Ming to lay out how he is thinking about AI, entrepreneurship, Bitcoin, Web3 and portfolio construction. He argued that one of AI’s biggest effects is the sharp drop in the cost of turning an idea into a working product, which makes human intent and willingness to build more important than before. Even so, he said he has not yet found a truly large and systematic project worth committing to at scale, despite building a range of small AI tools and dashboards. On investing, Shenyu said his framework took shape only after going through DeFi, which pushed him to study how financial products are created and why markets need them. He does not favor broad diversification for its own sake. Instead, he prefers concentrating capital in a small number of assets whose underlying logic he believes he understands, especially under extreme market conditions where many supposedly uncorrelated assets can move together. He said Bitcoin still looks like digital gold to him and does not need fresh narratives to justify its place. He also named Bitcoin, Ethereum and Tesla as the main assets in his current core allocation, while saying SpaceX remains under observation. In Web3, the key question he is watching is whether Agents can achieve large-scale adoption on ecosystems such as Ethereum.

1270
Cobo co-founder Shenyu says AI is reshaping execution, while Bitcoin and Agent adoption remain central to his investment view
Former Huawei Pangu lead Wang Yunhe’s startup raises fresh funding, plans to train its own model
Coinbase says its agent can search 2.2 million+ stays, book hotels and pay onchain
DeepSeek
2026-08-15 03:14:58

Community tests suggest DeepSeek-V4-Pro differences may stem from its Agent environment

Debate has spread through the AI community over whether DeepSeek-V4-Pro is actually being served as more than one model behind a single API endpoint. Users said that after switching IP addresses or starting fresh sessions, the same deepseek-v4-pro interface could fall into three distinct reasoning styles. One often opened with 「Let me」 and resembled the earlier V4 Pro Preview, another frequently used 「The user wants me」 and was compared to V4 Flash, while a third leaned heavily on 「we」 and was described by some testers as a stronger 「god-tier」 version of V4 Pro. Because behavior usually stayed consistent once a session entered one mode, some in the community suspected hidden multi-model routing. A different explanation emerged after closer inspection of the DeepSeek Harness codebase. Community members pointed to an Aug. 10 commit, 「fix(preset): align minimal agent with RL composition」, and argued that the gap may come less from different model weights and more from differences in the Agent runtime environment. Documentation for the Minimal preset describes a stripped-down system prompt, a persistent Bash environment, selected editing tools, and the compaction policy used in RL training, while removing extra identity prompts, web prompts, and tool instructions. Tests cited by the community showed the same DeepSeek V4 Pro scoring 91 in DSH Standard, 92 in DSH PTC, and 99/96 in DSH Minimal, with an 「Anchored Standard」 plugin later posting 98/99. DeepSeek has not confirmed the theory, and its API documentation lists deepseek-v4-pro as DeepSeek-V4-Pro-0813 with no disclosed automatic multi-model routing mechanism.

1990
Community tests suggest DeepSeek-V4-Pro differences may stem from its Agent environment
DeepSeek V4 Pro 0813 draws debate over stability, pricing and product usability
DeepSeek raises API prices and open-sources Harness as it shifts toward selling Agent productivity