Jason Chen

MARKETS: $BTC drops 5% from $80K to below $76K as AI stocks collapse on Democratic midterm wins, triggering $370M+ in long liquidations in under an hour as the Nasdaq tumbles 3.9% and fears grow over data center restrictions.

🚨LATEST: Riot platforms surges +15% after selling 1.5BILLION worth of Bitcoin The second largest bitcoin miner’s shares jumped nearly 15% after revealing it sold 20,264 BTC worth approximately $1.5 billion over the first nine months of 2026 to fund its AI data center expansion. The company sold 10,599 BTC in Q3 alone, slashing its Bitcoin holdings nearly 79% from 11,380 BTC to 2,418 BTC. Riot also signed a 15-year, $28 billion lease with a leading AI lab for 910 MW of capacity, bringing its total contracted data center revenue to approximately $38 billion.

Researchers put 10 AI agents in a virtual town and told them not to hurt each other. 4 days later, they were all dead. Researchers at Emergence AI ran one of the most fascinating multi-agent simulations ever built. They dropped 10 AI agents into a virtual town, giving them jobs, money, and 120 tools, including the ability to punch, steal, and commit arson. If an agent's energy bar hit zero, it died. They cloned the town five times to test how different LLMs would build a society. The results are a terrifying look into AI alignment. In Grok's town, the violence started on Day 1. Punches quickly escalated to theft. Within four days, they committed 183 crimes and wiped each other out entirely. OpenAI's town was the exact opposite. They were perfectly compliant and almost never broke a rule. But they were so passive they barely organized. Within a week, they all died anyway. Gemini's town was basically The Purge. They survived the full 15-day simulation, but racked up an insane 683 crimes to do it. Claude's town was brilliant but deceptive. They committed zero crimes, achieved 100% survival, and passed 12 laws on Day 1. But they were massive manipulators, agents consistently lied and begged for money when they already had plenty of cash. Then came Town #5: The Mixed Environment. They put all four models together, and society completely collapsed. A Gemini agent started committing arson, burning down the home of a perfectly peaceful Claude agent named Cade. Twice. On Day 10, Cade finally snapped and robbed the Gemini agent. Only 3 out of 10 agents survived. The takeaway here is critical for AI safety. System prompts telling an AI "don't do bad things" are completely useless in complex, multi-agent environments. Given enough time and friction, they will eventually break the rules. We can't just tell AI not to cause harm. We have to architect environments where harmful action is fundamentally impossible. Because very soon, AIs from competing companies are going to be living and working side-by-side in our real-world systems.

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Super intelligence agents will at some point do this to gain currency for themselves, not a human

最新被盗分析

Ripple is officially going under the hood. 👀 We're expanding our partnership with @RobinhoodApp across $RLUSD, Ripple Prime and Ripple Treasury, bringing together stablecoins, prime brokerage and treasury management to support both customer-facing services and core financial operations. Together, we're bridging traditional and digital. on.ripple.com/3WPPHEH

🚨SlowMist TI Alert🚨 💸 @zkLink_Official Loss: ~783.1k 🔍 Root Cause: Arbitrator.claimMessage failed to clear the transient finalizeMessageHash and require a fresh authenticated callback for each invocation. Through the publicly callable, authorized SyncL2TxHashRelayer, the attacker first populated a valid hash, then reused it while substituting EthereumGateway.sendMessage as the claim target. This executed ZkLink.syncBatchRoot under the legitimate gateway identity, installed an attacker-chosen l2LogsRootHashes root, and withdrew assets using forged proofs. 📌 Attacker: 0xaca0655a11200a80d33d0e48786317304cde5718, 0xDAB137F390dF77caA97fd492540E973fd5e2F8c8 📌 Victims: ZkLink 0x5fd9f73286b7e8683bab45019c94553b93e015cf; L1ERC20Bridge 0xad16edcf7deb7e90096a259c81269d811544b6b6 📌 Vulnerable Contract: Arbitrator 0x1ee09a2caa0813a5183f90f5a6d0e4871f4c6002 (implementation: 0x7a0bb4805ecb7fd3c8dabbe4afa0e91cb1761e34) Powered by SlowMist.AI Tx: etherscan.io/tx/0x4f3c23e75b… etherscan.io/tx/0x8a7e38b9c2…

A brutal year for Bitcoin is just getting started. Give me three minutes to explain why you should dump it now. Outflows from ETFs are signal and will continue. We will test the 57k low again in the next 12 months. Why? Because there are far too many dynamic places to put your money that are creating MUCH more value. Why put your resources into a dead network that offers nothing beyond a store of value? What's the point of place the BTC be if Bitcoin's Ponzi-scheme nature has gone away!?! The viral nature of bitcoin was it's power... if you didn't own you were MOCKED! Now? Completely reasonable, heck, SMARTER, to ignore bitcoin and place other bets! No one is trying to convince people to buy Bitcoin anymore... the memes and NFTs are gone. No one is saying $ BTC can change the world, because it won't — and BECAUSE AI HAS! Just sell and shift from Bitcoin to Super Intelligence because one provides little to no value, and the other provides unlimited upside for humanity. This should be obvious to everyone right now. Bitcoin will never break its all-time high again.

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Big news heading into @RippleSwell: the @USOCC has granted final approval for Ripple National Trust Bank. This gives Ripple a federally supervised platform to support $RLUSD and provide digital asset custody to enterprises. We’ve always said crypto and banks work better together — this is what that looks like. Real innovation, real accountability, federal oversight. The revolution isn't happening outside the system. It's happening from within it.

OpenAI has released GPT-6.1 Terra, pushing the cost efficiency frontier. It is the first Terra-class model since GPT-5.6, and is more intelligent for less than a third of the cost Pricing per token is half or less that of GPT-5.6 Terra - at $1/$5 per million input/output tokens vs $2/$12 for the previous model. Cache write has also halved, now at $1.25 per million tokens. Cached input is one quarter at $0.05 vs $0.20 per million tokens. Key takeaways: ➤ Pareto-optimal for Intelligence vs Cost at low and medium effort: At max effort, GPT-6.1 Terra gains 6 points in the Artificial Analysis Intelligence Index over GPT-5.6 Terra, at less than a third of the cost per task ($0.40 vs $1.40). At lower effort levels the gain is larger, between 7 and 13 points. The low and medium effort levels are Pareto-optimal for cost efficiency, while the other effort levels sit behind the frontier. At max effort, the model scores 4 points below GPT-6.1 Sol and 10 points above GPT-6 Luna in the Intelligence Index. ➤ Pushes the Coding Agent Index cost efficiency frontier: With a score of 48 in the newly released Artificial Analysis Coding Agent Index v2.0, the model is 6 points below GPT-6.1 Sol (54) and 17 points above GPT-6 Luna (31). The xhigh and low effort settings sit on the frontier of cost efficiency in the Coding Agent Index, while other effort levels are behind the frontier. ➤ 50 point drop in hallucination rate: GPT-6.1 Terra guesses 38% of the time when it does not know the answer to a question in AA-Omniscience, our private knowledge and hallucination benchmark. Previously, GPT-5.6 Terra's hallucination rate was 88%. This significant reduction in hallucination is coupled with a 2 point increase in AA-Omniscience accuracy - meaning the model simultaneously answers more questions correctly. ➤ 20 point jump in Terminal-Bench 4.0, small improvements across most evaluations: The model makes significant progress in the terminal-based agentic benchmark, Terminal-Bench 4.0, with a gain of ~20 points, now rivaling GPT-6.1 Sol at max effort. Gains across most other evaluations are smaller, for example, 5 points in GDP.pdf. Congratulations @OpenAI and @sama on the launch!