All articles tagged with #artificial intelligence
Samsung's Galaxy S26 lineup and Google's Gemini integration push AI from chatbots to proactive on-device assistants, enabling features like pre-emptive task handling and automated app actions. The shift points to a future where AI does more behind the scenes on phones, but whether consumers buy in depends on price, camera quality and overall practicality.
An AI stress-test by The Jerusalem Post asked four major AI platforms to predict a date for a US strike on Iran. Claude, Gemini, Grok, and ChatGPT varied from refusals to increasingly specific date windows (late Feb to early March 2026), illustrating how models can generate operational timing from public data under pressure, even as diplomats say the real timing remains uncertain and no action is predicted.
A Pew survey finds about half of U.S. teens use AI for schoolwork, and a majority believe their peers are using AI to cheat; more than 10% of teens use AI for emotional support or advice, and teens are more hopeful about AI than adults.
U.S. stock futures point to a higher open as investors await Nvidia's earnings and ride AI-driven market optimism, with the Dow, S&P 500 and Nasdaq set to rise despite lingering focus on President Trump's State of the Union address.
Asian shares rose after a rebound in U.S. stocks as investors wrestle with AI hype, with Nvidia’s upcoming results set to steer sentiment. Korea, Taiwan and Japan led gains while traders weighed Trump-era energy talk, a modest dip in the dollar, and nearby central-bank commentary.
Robert Hazen and Michael Wong argue that evolution is a universal process, not limited to biology, governed by a new natural law—the law of increasing functional information—that explains how complex systems from minerals to AI become more patterned as they generate and select for functional configurations. They describe a “second arrow” of time toward greater order despite entropy, outline three sources of selection (static persistence, dynamic persistence, novelty generation), and introduce functional information as a measure (based on Szostak). The concept has broad applications—from cancer to ecology and AI—and invites reflection on meaning and purpose within science, while highlighting humanity’s ability to accelerate evolution by imagining and testing countless configurations.
Nvidia is set to report its fourth-quarter and fiscal-2026 earnings after the bell, with investors watching AI demand trends, updates on the Rubin platform, and any news on U.S. export permissions for chips to China. As a leader in AI chips and AI infrastructure, Nvidia’s commentary and guidance could influence the stock and broader tech markets.
The Pentagon is pressing Anthropic to grant access to its AI technology, with Defense Secretary Pete Hegseth warning that the Defense Production Act could be invoked if the company does not accept terms favorable to the military by Friday.
Despite fears AI will destroy white-collar jobs, Anthropic is actively hiring—over 100 software engineers and hundreds of other roles across finance, marketing, legal, and sales—arguing that AI changes how work is done rather than eliminating it, a view echoed by industry leaders like Jensen Huang.
Anthropic says DeepSeek, Moonshot, and MiniMax used about 24,000 fraudulent accounts to generate over 16 million conversations with Claude to train their own chatbots via distillation, violating its terms and China restrictions. The claim, echoed by OpenAI, frames data harvesting for AI as a national-security risk and has spurred calls for rapid industry and policy action, amid related copyright lawsuits and Pentagon considerations.
Meta has struck a multibillion-dollar deal with AMD to buy 6 gigawatts of custom MI450 AI chips to accelerate its AI models, while AMD granted Meta a performance-based warrant to buy up to 160 million AMD shares at $0.01, with the first tranche due in H2 as the initial gigawatt ships; the arrangement could yield about a 10% stake in AMD over time, echoing OpenAI’s deal, and sent AMD stock higher pre-market. Meta plans to spend up to $135bn on AI infra this year and seeks to diversify beyond Nvidia, using the chips mainly for inference workloads that require 6GW; the warrant expires Feb 2031 and final tranche triggers at $600 per share.
Anthropic says three Chinese labs used a distillation technique to siphon Claude's capabilities through about 16 million exchanges and 24,000 fake accounts, circumventing export controls and raising national-security concerns; OpenAI has issued similar charges, prompting calls for coordinated industry and government action to counter illicit access and safeguard safety guardrails.
Under pressure from the Trump administration, the Pentagon summoned Anthropic CEO Dario Amodei to Washington to renegotiate a $200 million pilot for using its Claude AI on classified networks, aiming to enforce guardrails similar to those being negotiated with rivals Google Gemini and xAI. Anthropic says it is willing to loosen some limits but insists on safeguards to prevent mass surveillance and autonomous weapons without human oversight, noting it was the first company authorized for the military’s classified networks. The talks highlight the government’s effort to push for broader, lawful use of AI in defense while balancing safety concerns.
AI-driven disruption fears spurred a broad software-stock selloff, with the iShares Tech-Software ETF (IGV) sliding about 4.8% and wiping roughly $223 billion in market value from its components in a single session. Big names like IBM, DDOG, and CRWD were hit, while analyst commentary pointed to Citrini Research’s AI productivity scenario and Anthropic’s Claude updates as factors fueling caution. Investors remain cautious and want clearer AI headlines before stepping back into software stocks, amid warnings the move could be overdone.
Gary Marcus argues that generative AI has been wildly overstated and remains unreliable, often hallucinating and making errors; while it has some practical uses (for example, coding), it falls far short of expectations and could harm education, the information ecosystem, and the economy, a critique grounded in Washington Post reporting and his own analysis. The piece calls for scrutiny of hype surrounding AI and caution about its broader societal impact.