According to @StockMKTNewz, NVIDIA NVDA CEO Jensen Huang said Perplexity’s use of multiple models to answer questions was very smart, source: @StockMKTNewz on Jan 5, 2026. The post provides no additional context such as product details, metrics, or financial guidance beyond the quoted remark, source: @StockMKTNewz. For trading context, the only verified datapoint here is positive CEO commentary on multi-model AI that traders can log for sentiment tracking on NVDA and AI-exposed equities; the source does not report any immediate market reaction, source: @StockMKTNewz.

According to @StockMKTNewz, NVIDIA (NVDA) CEO Jensen Huang said OpenAI models are about six months behind the frontier models and are catching up quickly. Source: @StockMKTNewz. This remark provides a concrete six-month benchmark for AI model progress that traders can track as a timeline for capability upgrades across leading systems. Source: @StockMKTNewz.

According to @StockMKTNewz, Jensen Huang’s keynote is scheduled to start in 1.5 hours and he is on-site early for the event (Source: @StockMKTNewz on X, Jan 5, 2026). According to @StockMKTNewz, a full week-ahead catalyst watch is available, indicating an active trading calendar and highlighting the imminent keynote as a time-specific event for monitoring (Source: @StockMKTNewz on X, Jan 5, 2026). Based on @StockMKTNewz’s timing, equity and crypto traders tracking the AI narrative can align their event-driven watchlists around the keynote start to manage headline timing and liquidity windows (Source: @StockMKTNewz on X, Jan 5, 2026).

According to @StockMKTNewz, Amazon (AMZN) is launching an Alexa.com website that allows some users to chat with its AI assistant via their browser, as reported by CNBC (source: CNBC via @StockMKTNewz).

According to @CNBC, Nvidia partner Foxconn reported a 22% revenue surge as AI buildout ramps up (source: CNBC). Nvidia and Foxconn previously announced a partnership to build AI factories and manufacture AI servers, tying Foxconn’s revenue exposure to Nvidia’s AI compute ecosystem (source: Nvidia). AI-linked cryptocurrencies have shown sensitivity to Nvidia-driven news, with Reuters reporting broad gains in AI tokens following Nvidia earnings, highlighting potential spillover into crypto when AI infrastructure activity increases (source: Reuters).

According to @CNBC, Anthropic co-founder Daniela Amodei said the company’s “do more with less” strategy has kept it at the AI frontier in an interview published January 3, 2026, highlighting an efficiency-led approach. source: CNBC For traders, on-record leadership emphasis on compute and efficiency is a headline catalyst to monitor for short-term sentiment in AI-exposed equities and AI-related crypto assets, with attention to liquidity and volatility shifts around the interview window. source: CNBC The post does not include financial metrics, product timelines, or formal guidance, so position sizing and risk controls should account for headline-driven moves until more detailed disclosures are available. source: CNBC

According to @DeepLearningAI, Andrew Ng introduced the Turing-AGI Test in the New Year issue of The Batch to evaluate AI systems on real, economically useful work rather than hype, published Jan 2, 2026, on X. According to @DeepLearningAI, the same issue highlights six practical perspectives tied to enterprise adoption: IBM’s David Cox on Open Source Wins, Princeton’s Adji Bousso Dieng on AI for Scientific Discovery, Microsoft’s Juan M. Lavista Ferres on education that works with AI, Allen Institute’s Tanmay Gupta on moving from prediction to action, UC San Diego’s Pengtao Xie on multimodal models for biomedicine, and AMD’s Sharon Zhou on community-building chatbots. Using the themes outlined by @DeepLearningAI, traders can align screens toward measurable utility: open-source and enterprise AI exposure in IBM and MSFT equities, compute demand signposts in AMD, and for digital assets, apply the same utility-first lens to AI infrastructure tokens and data protocols to prioritize real-world usage over hype, based on the source’s emphasis on economically useful work.

According to @StockMKTNewz, the average Wall Street price target for Nvidia (NVDA) is around $277 per share, providing a clear consensus reference level for trade planning and risk management. Source: @StockMKTNewz.

According to @KobeissiLetter, three of the S&P 500's top four performers in 2025 were data storage stocks as AI-driven spending accelerated, with Sandisk (SNDK) up 559%, Western Digital (WDC) up 284%, and Seagate (STX) also among the leaders (source: @KobeissiLetter). For traders, this underscores momentum and relative-strength setups in AI infrastructure beneficiaries, with WDC and STX remaining primary watchlist names for continuation on pullbacks to prior breakout zones and on fresh AI capex headlines (source: @KobeissiLetter). Cross-asset, crypto participants tracking the AI narrative can monitor whether risk-on flows from AI-equity rallies spill over into AI-linked tokens and broader market beta during headline spikes (source: @KobeissiLetter).

According to @CNBC, Bernie Sanders and Ron DeSantis spoke out against the AI data center boom, and CNBC described this as a bad sign for the AI industry, source: CNBC tweet on Jan 1, 2026. According to @CNBC, this headline frames a negative signal for companies reliant on rapid AI data center expansion, which traders may treat as adverse sector sentiment as characterized by CNBC, source: CNBC tweet on Jan 1, 2026. According to @CNBC, the post did not reference cryptocurrency markets or tokens, source: CNBC tweet on Jan 1, 2026.

According to @CNBC, Alphabet (GOOGL, GOOG) was the big AI winner of the year, highlighting the company’s prominence among AI-linked megacap stocks for traders tracking momentum and sector leadership. Source: @CNBC. According to @CNBC, the report explains how Alphabet’s stock could also have a great 2026, flagging a constructive forward outlook that market participants may evaluate when positioning around AI equity exposure. Source: @CNBC.

According to @CNBC, Apple needs to deliver an AI-charged Siri compelling enough to get older iPhone users to upgrade, positioning AI features as the practical catalyst for device replacement decisions (source: @CNBC). For traders, @CNBC’s framing makes AAPL particularly sensitive to Siri AI feature announcements, rollout timelines, and early upgrade-intent signals among legacy iPhone cohorts as potential near-term catalysts (source: @CNBC). Crypto impact: @CNBC’s emphasis on consumer AI integration indicates Apple’s AI-related events could act as sentiment cues for AI-linked risk assets, warranting monitoring of AI narrative flows around major Siri updates (source: @CNBC).

According to @StockMKTNewz, Google/Alphabet’s Waymo stated it has received authorization from Nevada and begun autonomous testing with a driver at the wheel in Las Vegas, directly tying the development to GOOGL for stock traders, source: @StockMKTNewz on X. The post is dated December 30, 2025, providing a precise timestamp for intraday event tracking on GOOGL, source: @StockMKTNewz on X. The post does not reference any cryptocurrencies, so any crypto-market relevance would be via broader AI and autonomous driving sentiment rather than direct token links, source: @StockMKTNewz on X.

According to @StockMKTNewz, Nvidia (NVDA) is trading at about half the forward P/E of Costco (COST), creating a measurable valuation differential that traders can track as a forward P/E spread for timing and risk management. source: @StockMKTNewz Traders can use this observation to build a relative-value or pair-trade watchlist with alerts for spread convergence or divergence; the source does not cite any direct crypto market impact. source: @StockMKTNewz

According to @CNBC, Dan Ives has shared his top AI stock picks for the new year, with details available via a CNBC article, source: CNBC (Dec 30, 2025 post). The post does not list the tickers in-line, so traders should review the linked CNBC article to compile a names-and-levels watchlist before the next session, source: CNBC (link provided in the post). Given the Dec 30, 2025 timestamp, traders can prepare by monitoring premarket liquidity, spreads, and relative strength in AI-related equities at the next U.S. market open, source: CNBC (post timing reference).

According to @CNBC, Corti’s CEO said the company will go public but not in 2026, confirming there will be no Corti IPO catalyst in the 2026 calendar year (source: CNBC tweet dated December 30, 2025). Based on @CNBC, this means no Corti IPO allocations, lockup schedules, or index-addition flows in 2026, directing traders to focus near term on other AI-healthcare equity events for liquidity and momentum (source: CNBC tweet dated December 30, 2025). For crypto traders, @CNBC’s report implies fewer immediate AI IPO headline catalysts spilling into AI-themed token sentiment, keeping narratives tied more to macro and major AI earnings than to a Corti listing in 2026 (source: CNBC tweet dated December 30, 2025).

According to CNBC, UK-based Octopus Energy will spin off its AI platform unit Kraken at an $8.65 billion valuation. According to CNBC, this provides a concrete valuation datapoint for AI software within the energy and utilities vertical that equity and digital-asset traders can reference for relative-value comps and sentiment screens. According to CNBC, the shared snippet does not include details on listing venue or timing, so traders should review the full CNBC report for deal structure and capital-raising terms before positioning. According to CNBC, no cryptocurrencies were mentioned, implying any crypto impact is indirect via the broader AI narrative rather than direct token exposure.

According to @CNBC, Meta has acquired intelligent agent firm Manus, with the outlet describing the deal as capping a year of aggressive AI moves by the company (Source: CNBC). CNBC’s post did not include deal size, timing, or integration details, which means traders will likely look for official Meta updates to assess any concrete catalysts for positioning in AI-exposed equities (Source: CNBC). CNBC did not reference crypto assets in the update; any crypto-market read-through would be narrative-based rather than a direct linkage from this announcement (Source: CNBC).

According to @StockMKTNewz, Nvidia’s December market cap rose from $1.2B in 1999 to $20B in 2007, collapsed to $4.5B in 2008, and rebounded to $55B by 2016, highlighting distinct cycles that traders can use to time entries and exits in AI-exposed equities. source: @StockMKTNewz The step-change from $18B in 2015 to $55B in 2016 aligned with Nvidia’s reported acceleration in Gaming and Datacenter revenue tied to AI workloads, reinforcing NVDA as a key gauge of AI compute demand for momentum and regime analysis. source: NVIDIA Form 10-K FY2017 and FY2018 For crypto, Nvidia acknowledged that cryptocurrency mining demand materially affected GPU channel inventories during 2017–2018, making NVDA’s cycle relevant for hardware-dependent miners before Ethereum ended GPU mining via The Merge in 2022. source: NVIDIA Q3 FY2019 results commentary; Ethereum Foundation

According to the source, an X post on Dec 29, 2025 states Elon Musk held a call with Israeli Prime Minister Benjamin Netanyahu to discuss developing artificial intelligence technology in Israel, source: X post linked in the content dated Dec 29, 2025. The post does not disclose any investment amounts, timelines, or company participation, limiting immediate, data-driven trading decisions, source: the same X post which provides no further details beyond the headline claim. Until verifiable follow-ups from official channels provide specifics, traders can only monitor for confirmations that could materially affect AI-related equities and the crypto AI narrative, source: the lack of quantifiable information in the cited X post.