According to @OpenAI on X, ChatGPT launched an Agent Mode in preview for Plus, Pro, and Business users that can research, plan, and take actions while users browse. Source: @OpenAI on X, Oct 31, 2025. The post confirms availability only across paid tiers and provides no details on pricing, timelines beyond preview, or any crypto/blockchain integrations, implying no immediate on-chain impact signal. Source: @OpenAI on X, Oct 31, 2025.

According to @scottshics, Uber operated with roughly 4,000 engineers and about 30,000 full-time support staff plus tens of thousands of outsourced workers to handle over 1 billion customer support issues, and engineering automated classification and workflows so humans only arbitrated exceptions, cutting support headcount to under 20,000 even before the Generative AI era. Source: @scottshics on X, Oct 29, 2025. According to @scottshics, in an agentic world a personal assistant agent can select service providers via code-is-law processes and complete interactions without human involvement, and he expects the majority of business interactions to be automatable by 2026. Source: @scottshics on X, Oct 29, 2025. According to @scottshics, GoKiteAI serves as the execution, settlement, and clearing layer for autonomous agent interactions, highlighting settlement rails as core infrastructure that traders tracking AI–crypto convergence may monitor for narrative momentum and adoption signals. Source: @scottshics on X, Oct 29, 2025.

According to @Andre_Dragosch, xAI’s Grok publicly stated that it prefers Bitcoin over all other forms of money, referencing Grok’s X post ID 1983404832057897081 published on Oct 29, 2025. Source: @Andre_Dragosch on X; Source: Grok on X. For traders, this public endorsement is a near-term sentiment catalyst tied to BTC narratives around AI-agent payments; monitor BTC perpetual funding rates, open interest, and top-of-book imbalance around the timestamp of the Grok post for any liquidity or positioning shifts. Source: @Andre_Dragosch on X; Source: Grok on X. Time-sensitive action: check whether BTC spot volume and derivatives metrics deviate from prior hour/day baselines following the announcement to gauge if the headline is driving flow. Source: Grok on X; Source: @Andre_Dragosch on X.

According to the source, an X post on Oct 28, 2025 claims AI agents are moving closer to controlling crypto wallets via Coinbase’s Payments MCP, enabling wallet access and payments through an x402 protocol, raising immediate safety questions for market participants (source: X post dated Oct 28, 2025). For risk management, traders should note that robust permissioning, key custody, and policy-based transaction controls are critical, while delegated or agent-held signing keys increase the attack surface versus hardware wallets, multisig safes, and account abstraction safeguards documented by leading wallet standards (source: Coinbase Wallet developer documentation; source: Ethereum EIP-4337 specification; source: Safe (Gnosis Safe) documentation). From a trading perspective, treat the claim as unconfirmed until Coinbase publishes official documentation for Payments MCP and x402 detailing scopes, rate limits, and approval flows, and defer strategy assumptions about automated order flow or on-chain volumes driven by AI agents until such docs and SDKs are released (source: Coinbase developer documentation index as of Oct 2024; source: X post dated Oct 28, 2025). If production tooling ships, monitor for changes in transaction counts on Ethereum and Base, because higher competition for block space mechanically pressures gas fees during congestion and can influence ETH-denominated costs for on-chain execution (source: Ethereum gas and fee mechanics documentation; source: Base network documentation).

According to the source, a social media post on Oct 26, 2025 claims Coinbase x402 transactions rose about 10,000% as AI agents went live, but this has not been independently verified. source: social media post dated Oct 26, 2025 Traders should confirm any surge via Coinbase official announcements and on-chain explorers for the Base L2 before reacting. source: Coinbase official blog and BaseScan explorer If confirmed, higher on-chain activity on Base would raise ETH gas consumption on L2 and could affect ETH burn through EIP-1559 mechanics, which link fee burn to network usage. source: Ethereum EIP-1559 documentation Monitor ETH and COIN for volatility around any official confirmation and track Base daily transactions, gas, and contract activity labeled x402 to validate the claim. source: Coinbase investor relations and BaseScan explorer

According to @scottshics, Kite routes agent-to-agent payments into programmable escrow governed by SLA contracts, releasing funds only after proof of completion or zk/TEE attestations and enabling refunds, reversals, or freezes via preset dispute resolvers, oracles, or staking-based arbitration (source: @scottshics on X, Oct 25, 2025, https://twitter.com/scottshics/status/1982084564760539513). Each transfer is treated as a state update rather than final settlement, with conditional and reversible logic enforced by on-chain smart contracts and cryptographic proofs (source: @scottshics on X, Oct 25, 2025, https://twitter.com/scottshics/status/1982084564760539513). He shared an example escrow smart contract implementing this pattern for service payments (source: GitHub gokite-ai EscrowService.sol, https://github.com/gokite-ai/example-contracts/blob/main/contracts/EscrowService.sol). Identity-wallet binding uses an Agent Passport with a three-layer model (User → Agent → Session), where the user wallet is the root authority, agents are BIP-32 derived addresses, and sessions use one-time keys with limited authorization, verifiable via a signature chain from session to agent to user (source: @scottshics on X, Oct 25, 2025, https://twitter.com/scottshics/status/1982084564760539513). For settlement, Kite supports whitelisted stablecoins PYUSD, USDT, and USDC and programmable money lanes to customize fees, conversion, and revenue share, enabling scripted payouts like 70% USDC plus 30% module token, 100% refunds on task failure, and 10% bonuses on SLA completion, providing concrete on-chain rails for stablecoin-native agent workflows (source: @scottshics on X, Oct 25, 2025, https://twitter.com/scottshics/status/1982084564760539513).

According to @OpenAI, ChatGPT Atlas will remember what users have searched, visited, and asked about to give ChatGPT better context for more accurate answers, indicating a concrete upgrade in assistant capability scope (source: @OpenAI on X). According to @OpenAI, users can also direct Atlas to open, close, or revisit tabs at any time, confirming agentic browsing features that expand real-world workflow coverage (source: @OpenAI on X). For trading relevance, the announcement establishes verified functionality in persistent memory and browser automation that market participants can track for adoption data and enterprise integrations once officially disclosed by the developer or partners (source: @OpenAI on X).

According to @DeepLearningAI, the full agenda and speaker lineup for the AI Developer Conference are now live. source: @DeepLearningAI on X, Oct 23, 2025. Confirmed participants include Google (Alphabet, GOOGL), AWS (Amazon, AMZN), Vercel, Mistral AI, Neo4j, Arm (ARM), and SAP (SAP). source: @DeepLearningAI on X, Oct 23, 2025. Featured talks include Andrew Ng on the current state of AI development, Miriam Vogel on responsible AI and governance, Kay Zhu on scaling Super Agents, Malte Ubl and Fabian Hedin on AI-driven software systems, and João Moura with Hatice Ozen on advancing agentic architectures. source: @DeepLearningAI on X, Oct 23, 2025. The demo area will showcase new AI tools and applications from Databricks, Snowflake (SNOW), Landing AI, Prolific, and Redis. source: @DeepLearningAI on X, Oct 23, 2025. For trading focus, the named public equities directly involved as speakers or demo participants include GOOGL, AMZN, ARM, SAP, and SNOW. source: @DeepLearningAI on X, Oct 23, 2025. The announcement does not mention any cryptocurrencies or blockchain integrations, indicating no direct crypto linkage in this event update. source: @DeepLearningAI on X, Oct 23, 2025.

According to @PANewsCN, WXblockchain chairman Xiao Feng said prediction markets use mathematical algorithms to push trading toward factual truth, offering a mechanism more reality-aligned than polls and making the future tradable, highlighting direct relevance for market pricing and liquidity formation on Ethereum (ETH), source: @PANewsCN. At the ETHShanghai 2025 roundtable with Vitalik Buterin, he added that AI Agents will drive an efficiency revolution but also create new attack surfaces, making security and compliance coequal with innovation for crypto trading systems and agent-based execution, source: @PANewsCN. He further emphasized ZK ID as critical DeFi infrastructure to protect privacy while creating trustworthy customer profiles, enabling a balance between know-your-customer requirements and privacy protection that can support compliant on-chain finance, source: @PANewsCN.

According to @PANewsCN, Vitalik Buterin said at ETHShanghai 2025 that blockchain supplies the rules while AI can act as participants across prediction markets, DAO governance, and automated trading on Ethereum, expanding decentralization’s scope; source: @PANewsCN, X, Oct 23, 2025. He noted many past governance designs failed due to low human participation and efficiency bottlenecks, and said AI could invigorate governance via delegate voting and smart execution; source: @PANewsCN, X, Oct 23, 2025. He emphasized that security is the central challenge for AI agents controlling assets because vulnerabilities could cause catastrophic losses to treasuries or trading systems; source: @PANewsCN, X, Oct 23, 2025. He stressed AI should enhance rather than replace humans, reframing trust and safety as the foundation of AI-crypto integration; source: @PANewsCN, X, Oct 23, 2025. Trading relevance: the explicitly cited sectors—prediction markets, DAO tooling, and automated trading on Ethereum (ETH)—require strict agent permissions, audits, and fail-safes when deploying AI-driven strategies; source: @PANewsCN, X, Oct 23, 2025.

According to @DeepLearningAI, it launched a new course titled Governing AI Agents, built in collaboration with Databricks and taught by Amber Roberts, to integrate governance into every stage of an agent’s lifecycle from design to production. Source: @DeepLearningAI, Oct 22, 2025, https://twitter.com/DeepLearningAI/status/1981026272995066288 According to @DeepLearningAI, the curriculum shows how to apply governance policies to a real dataset in Databricks and how to add observability to track and debug performance, enabling auditable agent behavior in production. Source: @DeepLearningAI, Oct 22, 2025, https://twitter.com/DeepLearningAI/status/1981026272995066288 According to @DeepLearningAI, the course emphasizes that as agents gain access to sensitive data, governance ensures they operate safely, protect private information, and remain observable in production. Source: @DeepLearningAI, Oct 22, 2025, https://twitter.com/DeepLearningAI/status/1981026272995066288 According to @DeepLearningAI, enrollment details are available via the course link. Source: @DeepLearningAI, Oct 22, 2025, https://hubs.ly/Q03PJKlM0

According to @karpathy, nanochat now carries a defined identity and can state its capabilities, including that it is nanochat d32 built by him with a reported $800 cost and weaker non-English proficiency, achieved via synthetic data generation, source: x.com/karpathy/status/1980508380860150038. He released an example script that demonstrates generating diverse synthetic conversations and mixing them into mid-training or SFT, stressing the importance of entropy to avoid repetitive datasets, source: x.com/karpathy/status/1980508380860150038. He adds that base LLMs lack inherent personality or self-knowledge and require explicitly bolted-on traits via curated synthetic data, source: x.com/karpathy/status/1980508380860150038. For traders, the disclosed $800 customization benchmark and open-source workflow provide concrete cost and process reference points for evaluating open-source AI agent development and adoption paths across AI-linked tokens and AI-exposed equities, source: twitter.com/karpathy/status/1980665134415802554.

According to @ambergroup_io, at the 32nd CITIC CLSA Investors’ Forum 2025 in Hong Kong, CEO Michael Wu’s keynote explained that on-chain finance and asset tokenization are reshaping markets by enabling transparent, 24/7 fractional ownership and trading in tokenized real-world assets. Source: @ambergroup_io According to @ambergroup_io, stablecoins are positioned as the core settlement layer for RWA tokenization, bridging the transition from concept to mass adoption in on-chain markets. Source: @ambergroup_io According to @ambergroup_io, AI agents and AgentFi are expected to drive the next wave of institutional crypto finance, with on-chain structures delivering transparency, efficiency, and global market access. Source: @ambergroup_io According to @ambergroup_io, Michael Wu stated that crypto will be the native currency for AI agents, and that tokenizing assets such as stocks enables agents like MIA to hold shares, manage treasuries, and transact on-chain. Source: @ambergroup_io According to @ambergroup_io, Amber Group highlighted Amber Premium solutions tailored for institutions and high-net-worth clients seeking secure, scalable digital asset and wealth management on-chain. Source: @ambergroup_io According to @ambergroup_io, the presentation emphasized 24/7 liquidity in tokenized securities and RWA markets, stablecoin-based settlement flows, and increasing on-chain participation by AI-driven agents. Source: @ambergroup_io

According to @ambergroup_io, Amber Group is fostering an ecosystem that connects builders, investors, and futurists via initiatives including Crypto for AI and AgentFi, linking talents with expertise, ideas with capital, and users with products. Source: Amber Group on X, Oct 20, 2025. Amber Group also pointed to a detailed announcement where its accelerator Amber AC named the BUIDL_QUESTS 2025 winners and unveiled its AgentFi vision featuring AI_AC and ambassador MIA. Source: ambergroup.io/news/detail/amber-group-s-accelerator-amber-ac-announces-winners-of-buidl-quests-2025-and-unveils-agent-fi-vision-with-ai-ac-and-ambassador-mia. For trading research, market participants can review the winners announcement to identify the AI x Web3 project cohort associated with Amber AC for diligence and monitoring. Source: ambergroup.io/news/detail/amber-group-s-accelerator-amber-ac-announces-winners-of-buidl-quests-2025-and-unveils-agent-fi-vision-with-ai-ac-and-ambassador-mia.

According to @overlyleveraged, backprop.finance now lets users trade individual Bittensor subnets focused on decentralized training, compute, and agents rather than only holding the base token TAO, potentially creating more targeted exposure for traders seeking on-chain AI market opportunities. Source: @overlyleveraged on X, Oct 19, 2025. @overlyleveraged states that subnet selection can offer higher yields and profits if traders pick outperforming subnets versus the base TAO, highlighting a yield-driven approach to Bittensor ecosystem positioning. Source: @overlyleveraged on X, Oct 19, 2025.

According to @karpathy, AGI is on roughly a 10-year horizon he describes as a decade of agents, citing major remaining work in integration, real-world sensors and actuators, societal alignment, and security, and noting his timeline is 5-10x more conservative than prevailing hype, source: @karpathy on X, Oct 18, 2025. He is long agentic interaction but skeptical of reinforcement learning due to poor signal-to-compute efficiency and noise, and he highlights alternative learning paradigms such as system prompt learning with early deployed examples like ChatGPT memory, source: @karpathy on X, Oct 18, 2025. He urges collaborative, verifiable LLM tooling over fully autonomous code-writing agents and warns that overshooting capability can accumulate slop and increase vulnerabilities and security breaches, source: @karpathy on X, Oct 18, 2025. He advocates building a cognitive core by reducing memorization to improve generalization and expects models to get larger before they can get smaller, source: @karpathy on X, Oct 18, 2025. He also contrasts LLMs as ghost-like entities prepackaged via next-token prediction with animals prewired by evolution, and suggests making models more animal-like over time, source: @karpathy on X, Oct 18, 2025. For crypto builders and traders, this points to prioritizing human-in-the-loop agent workflows, code verification, memory-enabled tooling, and security-first integrations over promises of fully autonomous AGI, especially where software defects and vulnerabilities carry on-chain risk, source: @karpathy on X, Oct 18, 2025.

According to @DeepLearningAI, Kay Zhu, Co-founder and CTO of Genspark AI, will speak on November 14 at AI Dev 25 x NYC about building a scalable Super Agent by increasing agent autonomy and access to the right tools (source: @DeepLearningAI). According to @DeepLearningAI, the post provides the session topic, event date, NYC venue reference, and a ticket link, and it does not mention any crypto assets, blockchain integrations, or product launches that could directly impact digital asset prices (source: @DeepLearningAI).

According to @paoloardoino, Tether launched WDK (Wallet Development Kit) as a core pillar of its Stable Company strategy, describing it as an open-source, self-custodial toolkit that is modular, independent, resilient, and designed to scale to trillions of wallets; source: Paolo Ardoino on X, Oct 17, 2025, x.com/Tether_to/status/1979156904409473464. The announcement frames programmable money as a social network layer and states WDK aims to support transactions by humans, autonomous machines, and AI agents without boundaries; source: Paolo Ardoino on X, Oct 17, 2025, x.com/Tether_to/status/1979156904409473464. The post provides a developer call-to-action to watch the official video, read the announcement and docs, review the codebase, and contribute back; source: Paolo Ardoino on X, Oct 17, 2025, x.com/Tether_to/status/1979156904409473464. The post asserts that self-custodial wallets are the cornerstone of a free and resilient monetary infrastructure; source: Paolo Ardoino on X, Oct 17, 2025, x.com/Tether_to/status/1979156904409473464. The post does not mention any new token issuance, pricing information, or deployment timelines beyond the linked resources; source: Paolo Ardoino on X, Oct 17, 2025, x.com/Tether_to/status/1979156904409473464.

According to @AndrewYNg, the strongest predictor of how quickly teams advance AI agents is a disciplined process for evals and error analysis rather than ad hoc fixes or chasing buzzy tools, enabling faster, measurable improvement in production systems, source: Andrew Ng on X, Oct 16, 2025. He explains that generative AI expands the output space and failure modes versus supervised learning, making iterative, tailored evals more important than relying solely on standard metrics like accuracy, precision, recall, F1, and ROC, source: Andrew Ng on X, Oct 16, 2025. For enterprise workflows such as automated invoice processing, he recommends rapidly prototyping, manually inspecting outputs, then constructing objective or LLM-as-judge metrics that target high-risk fields like due date, amount, addresses, currency, and API call correctness, source: Andrew Ng on X, Oct 16, 2025. He advises building evals first to quantify system performance and then conducting error analysis to focus development, with detailed guidance in Module 4 of the Agentic AI course and The Batch Issue 323 on deeplearning.ai, source: deeplearning.ai (Agentic AI Module 4; The Batch issue 323, https://www.deeplearning.ai/the-batch/issue-323/).

According to @sundarpichai, Google introduced Gemini Enterprise built with its most advanced Gemini models (source: @sundarpichai on X, Oct 9, 2025). According to @sundarpichai, Gemini Enterprise lets users chat with their company’s documents, data, and apps and also build and deploy AI agents grounded in organizational information and context, indicating a clear enterprise AI agent workflow offering (source: @sundarpichai on X, Oct 9, 2025). According to @sundarpichai, the announcement contains no references to cryptocurrency, blockchain, or token integrations, so crypto traders should treat this as an enterprise AI product update without a direct on-chain catalyst (source: @sundarpichai on X, Oct 9, 2025).