Apple’s Tim Cook was viewed as a worthy successor to Steve Jobs when he took over as CEO in August 2011, two months before Jobs’ death.
Apple products became successful (and profitable) in many ways due to his success as COO, where he whipped company operations and supply chains into shape. Cook expanded the company’s product portfolio into new devices such as the Vision Pro and Apple Watch, rolled out a plethora of profitable services, and cut off failed projects like the rumored Apple car.
But Cook, who announced this week he will step down as CEO on Sept. 1 to become executive chairman, has one major blemish on his legacy. He missed perhaps one of the most important moments in computing history — the AI revolution.
Apple could still win AI war, and it now falls on incoming CEO John Ternus, formerly Apple’s senior vice president of hardware engineering, to play catch-up with AI rivals Google, Microsoft and OpenAI.
When ChatGPT took the world by storm in late 2022, Apple was years
Apple will open the doors to developers at its Worldwide Developer Conference (WWDC) next week. Beyond a big push on AI and new OSes focused on stability and performance, what should developers expect? Mostly it’s about new APIs, Foundation Models, and App Intents; here’s what I’ve been able to figure out so far.
Foundation Models
Apple has been building new Apple Intelligence APIs. One way it is achieving this is to take models made with Google Gemini, then distill and shrink them to fit inside (and run on) its devices. The progression will be to introduce these as a new crop of Foundation models developers can use in their apps. There’s more:
New APIs mean developers will be able to run Apple Intelligence tools such as summarization directly on the customer device, all offline, all private.
Developers that use Apple’s standard text editing/entry views will gain access to improved Apple-developed tools inside their apps without custom-coding.
Because intelligence takes place on the us
The post Nvidia Unveils Its New RTX Spark Chip For Windows Laptops And Desktops appeared on BitcoinEthereumNews.com.
Topline Nvidia on Monday unveiled its new RTX Spark chip for consumer Windows laptops and desktops, which it touted as being capable of running “personal AI agents,” marking the company’s first foray into making a fully integrated consumer chip as it looks to take on the likes of Intel, AMD, Apple and Qualcomm. Nvidia CEO Jensen Huang introduces the RTX Spark laptop during his keynote speech at Computex 2026 in Taipei. AFP via Getty Images Key Facts The RTX Spark is a cut-down version of the chips Nvidia uses on its AI supercomputers and the company claims it will be able to run powerful local AI agents, along with popular games and productivity software like Adobe’s Photoshop. Nvidia has been making consumer laptops and desktop GPUs for decades, but unlike the RTX Spark—which uses the AI giant’s own custom-made CPU—those computers had to be paired with either an Intel o
Nvidia's new superchip democratizes AI computing, reducing costs and enabling broader access to powerful AI capabilities for businesses and developers.
The post Nvidia unveils GB10 Grace Blackwell Superchip to challenge Apple and Intel in PC market appeared first on Crypto Briefing.
Apple's AI-focused smart glasses could redefine wearable tech, challenging competitors and influencing future AI integration in consumer devices.
The post Apple targets late-2027 launch for smart glasses with AI focus over augmented reality appeared first on Crypto Briefing.
The post Bitcoin Faces Prolonged Downtrend Through 2027, Analyst Warns appeared on BitcoinEthereumNews.com.
They say journalists never truly clock out. But for Christian, that’s not just a metaphor, it’s a lifestyle. By day, he navigates the ever-shifting tides of the cryptocurrency market, wielding words like a seasoned editor and crafting articles that decipher the jargon for the masses. When the PC goes on hibernate mode, however, his pursuits take a more mechanical (and sometimes philosophical) turn. Christian’s journey with the written word began long before the age of Bitcoin. In the hallowed halls of academia, he honed his craft as a feature writer for his college paper. This early love for storytelling paved the way for a successful stint as an editor at a data engineering firm, where his first-month essay win funded a months-long supply of doggie and kitty treats – a testament to his dedication to his furry companions (more on that later). Christian then roamed the world of jo
Bitcoin’s market cap has dropped to roughly $1.46 trillion, pushing it below several major technology companies and commodities in global asset rankings. Related Reading: Unknown Wallet Destroys $8.5 Million In Bitcoin In Shocking Burn Gold Holds Top Spot As BTC Slides Gold remains the world’s most valuable asset at nearly $31 trillion, with Nvidia, Apple, Alphabet, Microsoft, Amazon, TSMC, Broadcom, Saudi Aramco, Tesla, and Meta Platforms all ranked above Bitcoin. The drop reflects mounting pressure on the cryptocurrency from multiple fronts — including rising inflation, geopolitical conflict, and weakening investor sentiment. Ki Young Ju, chief executive of crypto analytics firm CryptoQuant, now says the bear market could stretch into early 2027. His assessment is based on an on-chain profitability model that tracks how long investor losses typically drag on once profit-taking begins to unwind. Once profit-taking cascades, Bitcoin investors’ PnL typically falls for about 18 months. S
More than 172,000 traders were liquidated in a single day as Bitcoin’s losses piled up, pushing the cryptocurrency out of the world’s top 10 largest assets by market cap. Bitcoin now sits at 13th place, trailing gold, NVIDIA, Apple, Microsoft, and silver, among others. Related Reading: Unknown Wallet Destroys $8.5 Million In Bitcoin In Shocking Burn Longs Take The Brunt Total crypto liquidations reached $921 million within 24 hours, with Bitcoin alone accounting for $352 million. Ethereum followed at $241 million, while XRP, ZEC, HYPE, SUI, DOGE, and NEAR recorded the remaining losses. Long positions made up more than 90% of all liquidations, a sign that traders had bet on a price recovery that never came — resulting in forced selling rather than new bearish bets. Four-hour liquidations hit $95 million, with longs at $55 million and shorts at $39 million. Across exchanges, Hyperliquid and Bybit saw heavy long liquidations, OKX leaned toward short liquidations, and Binance recorded equa
