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Category: mobile phones – Page 5

In today’s AI news, Mark Zuckerberg announced a huge leap in Meta Platforms’s capital spending this year to between $60 billion to $65 billion, an increase driven by artificial intelligence and a massive new data center.

Zuckerberg plans to increase the company’s capital expenditures by as much as roughly 70% over 2024.

In other advancements, Hugging Face has achieved a remarkable breakthrough in AI, introducing vision-language models that run on devices as small as smartphones while outperforming their predecessors that require massive data centers. The company’s new SmolVLM-256M model, requiring less than one gigabyte of GPU memory, surpasses the performance of its Idefics 80B model from just 17 months ago — a system 300 times larger.

And, Anthropic has launched a new feature for its “Claude” family of AI models, one that enables the models to cite and link back to sources when answering questions about uploaded documents. The new feature, appropriately dubbed “Citations,” is now available for developers through Anthropic’s API.

Meanwhile, can AI agents reliably click on all images showing motorcycles or traffic lights for us? It might be too early to tell, considering that a robot will essentially have to tell a website that it is not a robot. However, it looks like at least one of OpenAI’s Operator users was able to have the AI agent beat CAPTCHAs for him.

S strategic radar. Disruptions aren Then, In this special episode of Lightcone, the Y Combinator hosts are joined by YC partner and creator of Gmail Paul Buchheit to dig into some of the latest trends in the world of AI startups. They recorded their conversation at a recent retreat where 300 of the top AI founders in the world gathered to share expertise and make predictions about how this technology will shape our future.

And, What new kinds of jobs will AI bring that we never could have imagined before? In this special two-part episode, Reid Hoffman and Aria Finger explore this question and more with Sierra co-founder and OpenAI chairperson Bret Taylor.

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I was recently a co-author on a paper about anticipatory governance and genome editing. The lead author was Jon Rueda, and the others were Seppe Segers, Jeroen Hopster, Belén Liedo, and Samuela Marchiori. It’s available open access here on the Journal of Medical Ethics website. There is a short (900 word) summary available on the JME blog. Here’s a quick teaser for it:

Transformative emerging technologies pose a governance challenge. Back in 1980, a little-known academic at the University of Aston in the UK, called David Collingridge, identified the dilemma that has come to define this challenge: the control dilemma (also known as the ‘Collingridge Dilemma’). The dilemma states that, for any emerging technology, we face a trade-off between our knowledge of its impact and our ability to control it. Early on, we know little about it, but it is relatively easy to control. Later, as we learn more, it becomes harder to control. This is because technologies tend to diffuse throughout society and become embedded in social processes and institutions. Think about our recent history with smartphones. When Steve Jobs announced the iPhone back in 2007, we didn’t know just how pervasive and all-consuming this device would become. Now we do but it is hard to put the genie back in the bottle (as some would like to do).

The field of anticipatory governance tries to address the control dilemma. It aims to carefully manage the rollout of an emerging technology so as to avoid the problem of losing control just as we learn more about the effects of the technology. Anticipatory governance has become popular in the world of responsible innovation and design. In the field of bioethics, approaches to anticipatory governance often try to anticipate future technical realities, ethical concerns, and incorporate differing public opinion about a technology. But there is a ‘gap’ in current approaches to anticipatory governance.

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TSMC is aiming to begin mass production of Apple’s A-series chips for the iPhone as soon as this quarter at its Arizona plant.

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When sound waves reach the inner ear, neurons there pick up the vibrations and alert the brain. Encoded in their signals is a wealth of information that enables us to follow conversations, recognize familiar voices, appreciate music, and quickly locate a ringing phone or crying baby.

Neurons send signals by emitting spikes—brief changes in voltage that propagate along nerve fibers, also known as . Remarkably, can fire hundreds of spikes per second, and time their spikes with exquisite precision to match the oscillations of incoming sound waves.

With powerful new models of human hearing, scientists at MIT’s McGovern Institute for Brain Research have determined that this is vital for some of the most important ways we make sense of auditory information, including recognizing voices and localizing sounds.

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Microsoft has shed light on a now-patched security flaw impacting Apple macOS that, if successfully exploited, could have allowed an attacker running as “root” to bypass the operating system’s System Integrity Protection (SIP) and install malicious kernel drivers by loading third-party kernel extensions.

The vulnerability in question is CVE-2024–44243 (CVSS score: 5.5), a medium-severity bug that was addressed by Apple as part of macOS Sequoia 15.2 released last month. The iPhone maker described it as a “configuration issue” that could permit a malicious app to modify protected parts of the file system.

“Bypassing SIP could lead to serious consequences, such as increasing the potential for attackers and malware authors to successfully install rootkits, create persistent malware, bypass Transparency, Consent and Control (TCC), and expand the attack surface for additional techniques and exploits,” Jonathan Bar Or of the Microsoft Threat Intelligence team said.

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Bill Gates worries that kids today may miss out on a key advantage he had. The billionaire credits his successful career, in part, to having the freedom, and free time, in his youth to explore the world around him, to read and to think deeply without more modern distractions like smartphones and social media.

Today’s kids spend less time outside, exploring and playing with friends, than previous generations, thanks to the ubiquity of smartphones and social media.

That switch from a “play-based childhood” to one that’s “phone-based” has triggered a cultural shift that’s behind rising rates of mental health issues in younger generations, along with other negative effects on kids’ ability to learn and socialize, according to social psychologist Jonathan Haidt’s 2024 best-selling book “The Anxious Generation.”

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Imagine a future where your phone, computer or even a tiny wearable device can think and learn like the human brain—processing information faster, smarter and using less energy.

A new approach developed at Flinders University and UNSW Sydney brings this vision closer to reality by electrically “twisting” a single nanoscale ferroelectric domain wall.

The domain walls are almost invisible, extremely tiny (1–10 nm) boundaries that naturally arise or can even be injected or erased inside special insulating crystals called ferroelectrics. The domain walls inside these crystals separate regions with different bound charge orientations.

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