logo
Google highlights AI over hardware upgrades in Pixel 10 smartphone launch

Google highlights AI over hardware upgrades in Pixel 10 smartphone launch

Alphabet's Google introduced on Wednesday a new line-up of Pixel smartphones and gadgets, intensifying its efforts to embed artificial intelligence across a wide ecosystem of products.
The products were launched at the annual 'Made by Google' event held in New York that diverged from its typical format to emphasise mainstream consumer appeal over technical details.
Talk show host Jimmy Fallon, the Jonas Brothers and other celebrities featured heavily across the presentation, as they helped demonstrate real-world applications of Google's AI integrations into the hardware.
As for the hardware itself, the upgrades were comparatively modest. 'There has been a lot of hype about (AI in phones) and frankly a lot of broken promises too, but Gemini is the real deal,' said Rick Osterloh, Google's senior vice-president of devices and services, referring to Google's AI chatbot and model.
At its developer conference in June, iPhone maker Apple toned down its AI promises a year after it failed to deliver AI upgrades to key products such as Siri. Apple is expected to unveil its new line of iPhones this autumn.
Google's Pixel 10 line-up. Photo: Reuters
While Google's hardware upgrades were modest compared with its bold refresh in 2024, the company maintained its forward progress on its stated ambition to develop a universal AI assistant.
Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

ByteDance unleashes open-source model to challenge AI systems from DeepSeek, Alibaba Cloud
ByteDance unleashes open-source model to challenge AI systems from DeepSeek, Alibaba Cloud

South China Morning Post

time4 hours ago

  • South China Morning Post

ByteDance unleashes open-source model to challenge AI systems from DeepSeek, Alibaba Cloud

Advertisement Seed-OSS-36B was designed with both general-purpose and reasoning capabilities, with support for long-context window processing and various developer-friendly features, ByteDance said in a statement. Despite a modest size of 36 billion parameters – the internal variables used by the system during training to improve its performance – Seed-OSS-36B offered competitive capabilities, the company said. Open-source AI models released by other Chinese companies have parameters dozens of times larger. Citing recent benchmark tests, ByteDance said its new AI model either matched or surpassed the capabilities of similar-sized offerings from competitors including Alibaba Cloud, Google and OpenAI , as well as the firm's own Seed 1.6 model. Alibaba Cloud is the AI and cloud computing arm of Alibaba Group Holding , owner of the South China Morning Post. ByteDance's Seed department oversees the social media giant's artificial intelligence research and large language model development. Photo: Shutterstock ByteDance's release of Seed-OSS-36B AI reflects how Chinese AI companies are continuing to narrow the gap with their US peers through the open-source approach, which makes the source code of AI models available for third-party developers to use, modify and distribute.

As AI revolutionises work, get ready for the ‘great compression'
As AI revolutionises work, get ready for the ‘great compression'

South China Morning Post

time4 hours ago

  • South China Morning Post

As AI revolutionises work, get ready for the ‘great compression'

Discussions of artificial intelligence (AI) often dwell on the disappearance of entry-level jobs. This focus misses a more consequential structural shift: AI does not merely remove the bottom rung; it compresses the career ladder into a single floor. By making baseline competence widely and quickly accessible, it narrows the gap between novices and veterans, eroding the traditional link between experience and excellence. When a three-month hire can match a seasoned professional, skill-based hierarchies lose their logic. This 'great compression' calls for a fundamental redesign of how institutions operate. For many years, organisational hierarchies rested on the premise that experience begets expertise and superior performance. AI weakens that link, much as Henry Ford 's assembly line reduced the premium on master artisans a century ago. A recent study at a Fortune 500 company illustrates the pattern. AI improved overall performance, but unevenly: the bottom 20 per cent – as defined by the study's skill index – underwent a productivity increase of more than 35 per cent, the middle group experienced modest gains and the top 20 per cent remained essentially unchanged. More strikingly, learning curves compressed – workers with three months of tenure performed about as well as those with a full year on the job. In effect, the dispersion of performance shrank: AI pulled the lower tail towards the mean while leaving the top essentially unchanged, creating a narrow band of solid, reliable output. Another recent study on Japanese taxi drivers shows a similar effect. AI navigation systems that anticipate demand reduced the time spent searching for the next fare. Low-skilled drivers improved by about 7 per cent, while veterans saw little change or even slight declines. The productivity gap between novices and veterans narrowed.

OpenAI finance chief sees firm selling AI data centre services to offset ChatGPT costs
OpenAI finance chief sees firm selling AI data centre services to offset ChatGPT costs

South China Morning Post

time9 hours ago

  • South China Morning Post

OpenAI finance chief sees firm selling AI data centre services to offset ChatGPT costs

OpenAI is considering eventually helping other businesses tap into the data centres and physical infrastructure needed for artificial intelligence, potentially creating a new revenue line that could offset some of the ChatGPT maker's immense costs. Advertisement The service would be loosely inspired by the success found renting out its spare cloud computing capacity to companies, OpenAI chief financial officer Sarah Friar said in an interview Wednesday. OpenAI was not 'actively looking' at such an effort today because it was focused on securing computing capacity for its own operations, she said, but 'I do think about it as a business down the line, for sure.' In recent years, OpenAI has gained expertise on how to design and set up data centres to optimise workloads for AI. The company now sees an opportunity to capitalise on that know-how. It also wants to become more directly involved in the process rather than rely solely on third-party vendors. 'If all we do is buy from others, all we're doing is giving them our IP because they're learning how to build AI infrastructure,' Friar said. OpenAI CEO Sam Altman. Photo: Reuters OpenAI has raised tens of billions of dollars to pay for advanced chips and data centres to build and operate cutting-edge AI services. The company is also working with SoftBank Group and Oracle on an ambitious infrastructure venture called Stargate, with plans to build massive data centres in the US and abroad.

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store