Gemini 3.1 Pro launches with advanced reasoning, scoring 77.1% on ARC-AGI-2, offering enhanced multimodal capabilities.
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OpenAI launches EVMbench with Paradigm to test AI on smart contract vulnerabilities and commits $10M to cybersecurity research.
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The activist investor said Riot's 1.7 GW power capacity can drive premium AI hosting deals at Texas sites.
Arthur Hayes has issued a stark market warning: he sees a growing split between his preferred risk gauge, Bitcoin, and the tech-heavy Nasdaq 100 as a signal that credit stress may be building under the surface. Related Reading: What Bitcoin Rout? Michael Saylor Unfazed, Teases New Accumulation Hayes, a co-founder and former CEO of cryptocurrency exchange BitMEX, calls Bitcoin a “fiat liquidity fire alarm” — an asset that reacts quickly when credit conditions change. A Warning From Market Signals When two assets that often moved together start to pull apart, traders take notice. Hayes believes that a gap like this deserves investigation because it could point to trouble in bank balance sheets or in the flow of lending. He argues the move is not about one stock or one trade; it is about the plumbing of credit and how fast liquidity can dry up when things turn. How AI Job Cuts Could Ripple Through Credit Reports note that companies cited AI as a reason for thousands of layoffs in recent years, with an outplacement firm counting roughly 55,000 cuts in 2025 that were tied to AI. Much of that hit was inside tech. Hayes sketches a rough scenario: a sizable drop in knowledge-worker employment would weaken mortgage and consumer credit repayment, which could then shave bank equity and tighten lending. The numbers he offers are approximate and built on multiple assumptions, but they are intended to show how a shock to white-collar paychecks could cascade into the credit system. Expectations About Central Bank Action Hayes expects a policy response if banks start to fail and credit freezes. He argues the Federal Reserve would step in with fresh liquidity, and that more money creation would follow — a move he says would be favorable for Bitcoin’s price outlook. That scenario has been a recurring theme in his commentary; past essays and posts have linked anticipated Fed liquidity to sharp rallies in crypto markets. Altcoin Bets And Fund Positioning His fund, Maelstrom, is said to plan staking or stablecoin deployments into privacy-focused and exchange-native plays once liquidity policy shifts occur, naming Zcash and Hyperliquid as examples. That kind of tactical stance is meant to profit from a short-term surge in risk assets after a policy pivot. Related Reading: XRP Emerges As The Crypto Everyone’s Talking About, Grayscale Says A Measured View This is a dramatic chain of events: AI job losses lead to credit losses, which cause bank stress, which forces the central bank to expand money supply, which lifts Bitcoin. Each link is plausible, but none is guaranteed. Some of Hayes’ figures are rough estimates meant to illustrate risk rather than to act as a precise forecast. Market history shows that central banks do sometimes step in, and that policy moves can power asset rallies, but outcomes depend on timing, scale and public confidence — factors that are hard to predict in advance. Featured image from Unsplash, chart from TradingView
Anthropic launches Claude Sonnet 4.6 with a 1M token context window, delivering near Opus level performance at lower tier pricing.
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The following article is adapted from The Block’s newsletter, The Daily, which comes out on weekday afternoons.
Within a span of weeks in early 2026, a cluster of senior crypto operators announced they were stepping back or switching domains. Akshay BD, who spent five years building Solana's ecosystem, posted a “life update” saying he was “grateful to pass the torch.” Anthony Rose, a zkSync executive, announced he was “moving on” after four […]
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Meta plans facial recognition for smart glasses to identify contacts across its platforms, raising fresh privacy and regulatory concerns.
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OpenAI joins $100M Pentagon drone swarm challenge, supplying voice translation software while limiting its role in weapons control.
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Ethereum is increasingly positioning itself at the intersection of blockchain and artificial intelligence (AI), with growing discussions around its potential to become the default network for AI development. As AI systems demand secure data verification, ETH’s programmable smart contracts and robust ecosystem offer a compelling foundation. Its ability to provide trustless execution, decentralized data markets, and verifiable computation could address some of the biggest challenges facing modern AI. Why Ethereum’s Cryptographic Advantage In AI Development Ethereum co-founder Vitalik Buterin has outlined a clear vision for positioning ETH as the leading platform for artificial intelligence development. According to BSCN’s recent post, Vitalik has argued on X that ETH should lead AI innovation rather than copying others by focusing on zero-knowledge (ZK) privacy payments and reputation systems. Related Reading: Vitalik Reframes Ethereum L2 Strategy as ETF Inflows Return and Mainnet Scaling Accelerates In response to comments from ETH’s AI leadership post, Vitalik urged developers to consider building a fundamentally better solution rather than merely rebranding existing concepts. Vitalik emphasized that developers should do something fundamentally better by combining technology improvement in ZK, a privacy-preserving payments system, and on-chain reputation. If executed correctly, this approach could position ETH as the default platform for next-generation AI development with meaningful technology improvements. Ethereum has taken a major step toward building the foundation for autonomous AI systems, with 13,000 AI agents registered on the network in a single day, followed by the launch of ERC-8004, which went live on mainnet. Crypto analyst Teng Yan noted that the new standard allows AI agents to establish portable on-chain identities and build verifiable trust layers. However, the surge was mostly coordinated bulk onboarding, and most of the newly registered AI agents have claimed identities but are not yet active, which is normal for early infrastructure development. The real signal will emerge as reputation updates that are climbing. Recursion As Both A Scaling Tool And A Security Risk The Ethereum Foundation is releasing detailed requirements for the zero-knowledge virtual machine (zkVM) architecture whitepaper, a document to be delivered in three milestones. The Founder of ABDK Consulting, Dmitry Khovratovich, emphasized that modern zkVMs are not monolithic circuits. Instead, they consist of multiple interconnected components, including segmentation, buses, memory structures, and recursion. Related Reading: SEAL and Ethereum Foundation Partner to Combat Wallet Drainers: Security-First Investors Switch to $BMIC Each component may be secure on its own, but the overall reliability of this system-level security depends on how they interact and function together. As a result, the whitepaper will address both architectural details and the broader security arguments supporting the recursive proof structure. The Ethereum Foundation expects the final version of the documentation to be completed by December 2026 alongside the release of zkVM proofs, which are projected to be approximately 300 kilobytes (KB) in size while maintaining a 128-bit provable security level. Featured image from Getty Images, chart from Tradingview.com
Anthropic raises $30B at a $380B valuation in a Series G round led by GIC and Coatue, marking one of the largest venture deals ever.
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The chairman of Greater China at McKinsey said nearly every company is experimenting with AI, few are rethinking their organizations deeply enough to unlock profit.
Vitalik Buterin just published a research proposal that sidesteps the question everyone keeps asking: can blockchains run AI models? Instead, the research claims Ethereum as the privacy-preserving settlement layer for metered AI and API usage. The post, co-authored with Davide Crapis on Ethereum Research, argues that the real opportunity isn't putting LLMs on-chain. The real […]
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Lightning Labs has open-sourced a suite of tools that allow AI agents to run Lightning nodes and make payments.
AI bots will now be able to independently hold funds, send payments, trade tokens, earn yield, and transact onchain.
Bitcoin’s image as a steady store of value is being tested. What once was talked about as a hedge against uncertainty now moves more like a high-upside, high-risk bet. Related Reading: Jim Cramer Suggests US Government Could Buy Bitcoin Near $60K Signals Of A Growth Asset According to Grayscale, recent trading patterns show Bitcoin tracking closely with shares of software companies rather than with gold or silver. That change in behavior has been noticeable since early 2024, when institutional flows and exchange-traded products pushed crypto into more mainstream hands. Reports say investors who chase growth — many drawn by the AI story — have been selling software names hard, and Bitcoin has followed some of that pressure. Institutional Links And Market Forces Reports note that deeper ties to traditional markets explain part of this shift. Large firms, ETF mechanics and growing institutional holdings mean movements in stock markets can spill into crypto. There has also been active selling from US-based accounts that left Bitcoin trading at a discount on some platforms. That selling happened after a string of big liquidations late in the year and again in recent weeks, which amplified losses for traders who used leverage. Where Price Stands Now Bitcoin is changing hands around $66,900, with clear resistance near $69,900 and support levels slipping under $66,600. The swings are sharp and intraday moves can be wide, reflecting a mood that is cautious and reactive. From its peak above $126,000 in October, the market has pulled back by roughly 50% in several waves, which shows how quickly sentiment can turn against even the most talked-about crypto. Gold, Geopolitics And Risk Appetite Reports point out that bullion has climbed to fresh highs while Bitcoin has failed to mirror those safe-haven flows. Rising geopolitical friction has driven some money into metals and away from riskier bets, including tech shares and crypto. Traders who expected Bitcoin to act like a fortress against turmoil have found that, for now, it behaves more like an asset whose value rises on hope and falls when fear returns. A return of fresh capital would likely be needed to steady prices. ETF inflows could help, and a renewed wave of retail buyers would too. Research suggests that retail interest is currently focused on AI stories and growth narratives, which leaves crypto out of favor for many individual investors. That concentration of attention matters: capital flows are what lift or sink these markets. Related Reading: After Predicting XRP’s Drop, Analyst Says The Bottom May Be In Bitcoin Tracks Tech, But Long-Term Value Still Intact Grayscale says Bitcoin’s recent moves mirror tech stocks, not gold, but its long-term potential as a store of value remains. Short-term swings reflect market integration and investor activity, while future performance will depend on capital flows and broader economic trends. Featured image from ETF Trends, chart from TradingView
"The human brain is better at taking the imaginative leap to understand the unknown ... We should enjoy it for a couple more years."
Moving away from overhyped GPU marketplaces and large AI model alternatives towards purpose-built, full-stack solutions is the goal.
Bitcoin’s mining landscape is showing clear signs of stress as network difficulty records its largest downward adjustment since 2021. The sharp drop reflects a wave of miners shutting off machines or exiting entirely, squeezed by declining profitability, higher operating costs, and prolonged price pressure. As inefficient miners step aside and difficulty adjusts lower, the stage is set for consolidation across the mining sector. What Miner Capitulation Says About Near-Term Bitcoin Sentiment One of the most telling signals in the market is happening right now. The CEO of Coinbureau, known as Nic, revealed on X that Bitcoin mining difficulty just experienced its biggest drop since 2021, which means a meaningful number of miners are either shutting machines off or exiting the network entirely. At the same time, some miners are actively pivoting away from BTC and moving into AI and hyperscale data centers. Related Reading: Retail Dumps, Bitcoin Inflows Surge: On-Chain Data Flags Capitulation Bitfarms is a clear example, as its stock surged after announcing it is no longer positioning itself primarily as a BTC mining company. It’s not just that mining is harder, but because prices are down, and margins are tight. Instead, markets are actively rewarding miners for leaving BTC and reallocating into AI infrastructure, signaling that capital sees more returns outside BTC mining. A Statistical Outlier In Bitcoin Price Action Bitcoin has just printed a 5.65 standard deviation move, an event so extreme that it has occurred only 13 times in more than 5,000 trading days. According to Front Runners on X, Standard deviation measures how far a price move deviates from the average daily change. Most daily BTC moves fall within ±1 standard deviation, which is roughly 70% of the time, and any moves beyond 3 standard deviations are already considered rare. Related Reading: Is Bitcoin’s Reset Complete? BTC Steadies Above $70K as Markets Debate the Next Move A 5+ standard deviation move sits at extreme territory. Historically, BTC has seen similar moves of volatility in January 2015, December 2018, and March 2020, all periods that closely aligned with major cycle bottoms. This doesn’t mean it is a reversal recovery to the upside, as BTC could still consolidate sideways for months. However, this is the kind of volatility move that tends to happen near exhaustion, not mid-trend. This fast and aggressive crypto bear market is likely closer to a bottom than a top. Analyst Scient has highlighted that for Bitcoin and high-quality crypto assets, this is not the environment to chase trades. Instead, it’s the phase to plan buys using a structured Dollar-Cost Averaging (DCA) strategy over the coming weeks and months. There is no reliable way to time an exact bottom outside of pure luck. As prices trend lower, downside targets will continue to shift lower, creating frustration for anyone trying to trade every move. Scient emphasized that a simple spot accumulation using dollar-cost averaging in BTC and strong alts will outperform gambling on leverage for most participants. Featured image from Pixabay, chart from Tradingview.com
Head of safeguards Mrinank Sharma leaves Anthropic, citing AI safety failures and disconnect between principles and actions in the industry.
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In a post on X revisiting ideas he first outlined two years ago, the co-founder of Ethereum argues that the push toward artificial general intelligence often resembles the kind of unchecked speed and scale the blockchain was created to challenge.
Sometimes human intervention and an “old school” approach is needed, said Anatoly Crachilov, founding partner and CEO of Nickel Digital Asset Management.
Amazon's AI content marketplace could reshape digital content licensing, impacting publisher revenue models and AI training dynamics.
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OpenAI begins testing ads in ChatGPT for Free and Go users in the US, aligning with its strategy to expand access and fund infrastructure.
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The company plans to deploy modular GPU units across 40+ global sites to provide on-demand AI inference capacity for small and mid-sized businesses.
Cango's strategic shift to AI computing could diversify revenue streams, reduce reliance on volatile crypto markets, and drive tech innovation.
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Kris Marszalek joined the AI industry with autonomous agents and a Super Bowl ad that briefly sidelined the website.
Big Tech companies' planned $500 billion war chest to dominate artificial intelligence could offer a lifeline to a Bitcoin mining industry teetering on the edge of capitulation. The headline numbers are eye-watering. Alphabet, Google’s parent, alone plans to spend as much as $185 billion this year. However, the capital surge will involve more than buying […]
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The company will move its parent entity to Delaware and seek a new Nasdaq and TSX ticker, aiming to access U.S. capital markets.
The acquisition enhances Aether's AI capabilities, potentially transforming investor strategies and boosting market intelligence efficiency.
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