Artificial Intelligence

Artificial Intelligence
China's Moonshot ships largest-ever open AI model
Beijing-based Moonshot AI unveiled Kimi K3 on 17 July, a 2.8 trillion-parameter open-weight model the company says matches or beats several leading American systems, at a fraction of the price. The release landed on the eve of Shanghai's World Artificial Intelligence Conference. Moonshot, backed by Alibaba Group Holding and Tencent Holdings, built K3 as the flagship of a three-tier lineup that also includes K2.7 Code, a specialised coding model, and K2.6, a general-purpose option.What K3 actually doesK3 is the largest open-weight model released by anyone to date at 2.8 trillion parameters, more than double the size of its predecessor, Kimi K2, which shipped at 1 trillion parameters in July 2025. Context windows across the three-model lineup run to 256,000 tokens or above, and K3 offers the full 1-million-token version, enough to process an entire codebase or a lengthy document in a single pass. Moonshot claims K3 performs competitively against Anthropic's Fable 5 and beats OpenAI's GPT-5.6 on several published benchmarks, though those figures come from the company itself. An independent ranking on Arena.AI reportedly put K3 at the top of current model performance. The model shows particular strength in front-end
Artificial Intelligence
How falling AI token prices are becoming more expensive
Per-token prices have collapsed since 2022, yet enterprise AI bills keep climbing. And it's the gap between the two where the next phase of the AI trade could be won or lost. Anyone still telling their board that artificial intelligence is getting cheaper has half the story, because at present, the price of a single token - the unit of text a model reads or writes - has been in freefall. McKinsey's Andreessen Horowitz reckons the cost of running a model of equivalent capability drops roughly tenfold every year. Epoch AI, which tracks this more granularly, puts the decline anywhere between ninefold and 900-fold annually depending on the task, with a median around 50 times a year. And yet the bills landing on chief financial officers' desks are getting bigger, not smaller? That's because, in reality, cheaper tokens have not made companies spend less, but instead made them ask the tech to do vastly more, and the cost of finishing a job has climbed even as the cost of each token has fallen. Microsoft chief exec Satya Nadella named this early last year, dusting off a 160-year-old piece of economics - the Jevons paradox, where efficiency gains drive consumption up rather than down. The signal is not the token price
Artificial Intelligence
SK Hynix surges in debut amid investor AI demand
SK hynix Inc shares jumped in their debut on the United States stock market as the South Korean memory chip maker tapped into continued investor enthusiasm for artificial intelligence (AI) companies. In one of the largest foreign share offerings in U.S. market history, the American depositary receipts (ADRs) of SK Hynix rose 13% on their first day of trading on Friday (Saturday AEST) on the NASDAQ market after the company raised US$26.5 billion from investors. The strong initial market performance demonstrates the demand for companies positioned to benefit from the rapid expansion of AI infrastructure and was despite recent weakness in semiconductor stocks. SK hynix’s ADRs (NASDAQ: SKHYV) closed at $168.01, up $19.01 (12.76%) from the $149 offer price, and capitalising the company at US$1.15 trillion (A$1.65 trillion). “I’d like to thank our investors and customers for their trust and support,” Chief Executive O Kwak Noh-Jung said in a news release. “Through continuous innovation, we will push the boundaries of what memory can achieve while empowering our employees to reach even greater accomplishments.” The offering was heavily oversubscribed, reflecting strong appetite from global investors seeking exposure to
Artificial Intelligence
Memory, not speed, defines Apple's next AI chip push
Apple is designing a chip carrying up to 1.5TB of unified memory, roughly double the capacity planned for this year's M5 Ultra, according to Bloomberg's Mark Gurman. Rumour has it the M7 Ultra is due in 2028 and is being engineered to handle workloads closer to dedicated AI accelerators such as Nvidia's Blackwell than to a typical desktop processor. It will underpin a server platform Apple is developing, targeted for roughly 2029, following an earlier M5 Ultra-based server generation expected to arrive first, per a report from MacRumors. However, Apple has no track record selling compute infrastructure at scale. Will it be competing in server hardware requires networking, cooling systems and an orchestration layer that Nvidia, AMD and the major cloud operators have spent a decade refining? Apple's Neural Engine lineage originated in the abandoned Project Titan self-driving program and later migrated into consumer silicon, including the A11 Bionic chip in 2017.Memory bottleneckWhether Apple ships the full 1.5TB configuration depends on the state of the memory market, where a persistent supply shortage has driven component costs higher. The same shortage is reportedly complicating Apple's broader component sourcing
Artificial Intelligence
Apple sues OpenAI over alleged trade secrets theft
Apple has filed a lawsuit in the United States alleging OpenAI orchestrated a campaign to obtain confidential information to accelerate its entry into the consumer hardware market. The lawsuit against OpenAI, which also names two former Apple employees, marks a significant escalation in tensions between the two technology companies that had previously worked closely together. The lawsuit filed in the District Court for the Northern District of California alleges OpenAI systematically acquired Apple's trade secrets through former employees, recruiting practices and supplier relationships. Apple claims the information was used to support OpenAI's efforts to develop artificial intelligence (AI)-powered consumer devices that could eventually compete with products such as Apple’s iPhone. “This case is about Apple’s former employees stealing Apple’s trade secrets for the benefit of OpenAI. Apple brings this suit to put a stop to it,” Apple said in the filing. Apple said significant evidence had emerged suggesting OpenAI employees wrongfully took Apple's secret and confidential information about unreleased technologies, processes and products. "We will always defend our teams' hard work and innovations, and we are takin

Artificial Intelligence
MasTec buys Superior for US$1.65bn
MasTec Inc is buying Superior Group for US$1.65 billion (A$2.38 billion) in cash and stock to expand its capabilities in the fast-growing market for data centre and other mission-critical infrastructure. The United States-based infrastructure engineering and construction company said the price consisted of $1.175 billion in cash and $475 million in stock, with an additional earnout tied to Superior's financial performance over the three years after the deal closes. MasTec said the acquisition would strengthen its position in the buildout of artificial intelligence (AI)-driven data centres by adding electrical systems expertise to its power generation, transmission, substations and communications infrastructure capabilities. Chief Executive Officer Jose Mas said Superior expanded MasTec’s ability to serve the ongoing buildout of data centre, power and mission-critical infrastructure, which he described as one of the most compelling infrastructure opportunities in the market. “Together, we will be able to provide customers with a broader suite of self-perform capabilities spanning power generation, transmission, substations, civil infrastructure, communications and inside-the-fence electrical systems, enhancing our abili
Artificial Intelligence
South Korea unveils US$576bn AI chip plan
South Korea has unveiled more than US$576 billion (A$834.8 billion) worth of investments in artificial intelligence and semiconductor manufacturing, with President Lee Jae Myung outlining an ambitious strategy to strengthen the nation's leadership in advanced chips while expanding industrial development beyond the Seoul metropolitan area. The announcement, made on Monday, represents Lee's most significant policy initiative to date aimed at combining South Korea's AI and semiconductor ambitions with his pledge to reduce regional economic disparities and revitalise areas outside the capital. Lee was joined by the heads of Samsung Electronics and SK Hynix, the world's two largest memory chip manufacturers, during the televised announcement. “We must secure the core elements of AI faster than any other country,” the president said. “Semiconductors, physical AI, and AI data centres are the triple axis for our great leap forward.” Under the plan, Samsung Electronics and SK Hynix, together with their suppliers, will invest 800 trillion won (US$517.87 billion) to construct two new semiconductor fabrication plants each in South Korea's southwestern region. In addition, Lee said Gwangju and South Jeolla province will contribu
Artificial Intelligence
Google caps Meta's access to Gemini amid compute shortage
Meta Platforms’ access to Google’s Gemini artificial intelligence (AI) models has reportedly been restricted due to limits on computing capacity. Google, owned by Alphabet Inc, placed a limit on Meta’s access after the social media company, which owns Facebook, sought more computing capacity than Google could provide, according to a story in the Financial Times (FT) newspaper. Although other Google clients had also been affected, the impact on Meta was greater because of its exceptionally high demand for Google’s models, the FT wrote. Meta had encouraged employees to use AI resources more efficiently as the shortfall disrupted and delayed some of its internal AI projects. “The decision by Google to cap a large customer’s access to its models offers a rare glimpse into the infrastructure pressures and bottlenecks building across the AI industry,” the FT wrote. “Despite spending tens of billions of dollars on chips, data centres and power, even the largest tech companies are struggling to secure enough computing power to support surging demand for advanced models and AI services.” Google and Meta declined to comment, according to media reports, including from Reuters, which noted it could not independently verify
Artificial Intelligence
Onsemi gets physical with US$7bn Synaptics acquisition
ON Semiconductor Corp (onsemi) has agreed to buy fellow semiconductor company Synaptics for about US$7 billion (A$10.2 billion) as it seeks to expand beyond power and sensing technologies into artificial intelligence-powered (AI) systems. The United States-based company will offer 1.35 of its shares for each Synaptics share, representing a 19% premium to the volume-weighted average closing prices of onsemi and Synaptics over the last 10 trading days. Onsemi said Synaptics’s AI compute platform, human-machine interface technology, and connectivity solutions would help it meet demand for increasingly capable AI solutions that can interact with the physical world. The combined platform was intended to position onsemi at the centre of so-called physical AI, which refers to AI embedded in devices and machines, with the potential to expand onsemi’s total addressable market by $30 billion to $243 billion by 2030. “By adding Synaptics’ differentiated Edge AI compute franchise and strong portfolio of human-machine interface and wireless connectivity solutions, onsemi is expected to extend its capabilities beyond power and sensing to intelligent systems, delivering greater value to a broad range of end markets,” the companies s

Artificial Intelligence

China's Moonshot ships largest-ever open AI model

How falling AI token prices are becoming more expensive

SK Hynix surges in debut amid investor AI demand

Memory, not speed, defines Apple's next AI chip push

Apple sues OpenAI over alleged trade secrets theft

MasTec buys Superior for US$1.65bn

South Korea unveils US$576bn AI chip plan

Google caps Meta's access to Gemini amid compute shortage

Onsemi gets physical with US$7bn Synaptics acquisition

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