Inanimate

Sentient OS - Proactive Intelligence with on-device AI

An on-device LLM understands your entire life, then proactively offers to get your work done through computer use. Private by design. Free and open source.

Humanity-as-a-Service

Commoditizing the human touch in the age of AI

Anthropomorphism Is Breaking Our Ability to Judge AI

Tech Policy Press fellow James Ball asks, how should we interact with a technology designed to ‘speak’ with us on what appear to be human terms?

HUGE - Personal AI Agent

There is a future coming where technology doesn't demand your time and attention, it gives it back to you. Where an intelligent companion understands you, cares deeply about your wellbeing, and works tirelessly in the background to make your life more meaningful. This isn't science fiction. This is what were building at HUGE.

Extending Our Perception

The world is rich with information hidden from human senses and not captured by our algorithms. The next era of AI will require Hypersensory Intelligence — AI and novel sensors engineered together to perceive reality in fundamentally new ways, catalysing breakthroughs across disciplines.

Mirai Labs: Frontier On-Device AI Lab

Models, runtime & infrastructure to make on-device AI interactive, ambient & continuous.

The path to ubiquitous AI | Taalas

By Ljubisa Bajic Many believe AI is the real deal. In narrow domains, it already surpasses human performance. Used well, it is an unprecedented amplifier of human ingenuity and productivity. Its widespread adoption is hindered by two key barriers: high latency and astronomical cost. Interactions with language models lag far...

AI as a Tool for the Mental Load | Brittany Ellich | Offprint

AI didn't make me faster at tasks. It took over the tracking, the invisible remembering that runs a household, and gave me back creative energy I forgot I had

AI #179 Part 1: A Louder Fire Alarm for General Intelligence

What a week.

Where the flower grows

Air gapped intelligence, local LLMs, and the case for private AI

Socially Minded Intelligence: How Individuals, Groups, and Artificial Intelligence Can Make Each Other Smarter (or Not)

A core part of human intelligence is the ability to work flexibly with others to achieve goals. The incorporation of artificial agents into human spaces is making increasing demands on artificial intelligence (AI) to demonstrate and facilitate this ability. However, this kind of flexibility is not well understood because existing approaches to intelligence typically construe this either as an individual-difference trait or as a property of groups. We argue that by focusing either on individual or collective intelligence without considering their dynamic interaction, existing conceptualizations of intelligence limit the potential of people and AI systems. To address this impasse, we propose a new kind of intelligence, 'socially minded intelligence', that can be applied to both individuals and collectives. We outline how socially minded intelligence might be measured and cultivated within people, how it might be modelled in AI agents, and how it might be applied to other intelligent systems.

[AINews] Humanity's Last Gasp

a quiet day lets us reflect on work in the time of AI

Environments Hub: A Community Hub To Scale RL To Open AGI

RL environments are the playgrounds where agents learn. Until now, they’ve been fragmented, closed, and hard to share. We are launching the Environments Hub to change that: an open, community-powered platform that gives environments a true home.Environments define the world, rules and feedback loop of state, action and reward. From games to coding tasks to dialogue, they’re the contexts where AI learns, without them, RL is just an algorithm with nothing to act on.

What Does 'Human-Centred AI' Mean?

While it seems sensible that human-centred artificial intelligence (AI) means centring "human behaviour and experience," it cannot be any other way. AI, I argue, is usefully seen as a relationship between technology and humans where it appears that artifacts can perform, to a greater or lesser extent, human cognitive labour. This is evinced using examples that juxtapose technology with cognition, inter alia: abacus versus mental arithmetic; alarm clock versus knocker-upper; camera versus vision; and sweatshop versus tailor. Using novel definitions and analyses, sociotechnical relationships can be analysed into varying types of: displacement (harmful), enhancement (beneficial), and/or replacement (neutral) of human cognitive labour. Ultimately, all AI implicates human cognition; no matter what. Obfuscation of cognition in the AI context -- from clocks to artificial neural networks -- results in distortion, in slowing critical engagement, perverting cognitive science, and indeed in limiting our ability to truly centre humans and humanity in the engineering of AI systems. To even begin to de-fetishise AI, we must look the human-in-the-loop in the eyes.

What Does 'Human-Centred AI' Mean?

While it seems sensible that human-centred artificial intelligence (AI) means centring "human behaviour and experience," it cannot be any other way. AI, I argue, is usefully seen as a relationship between technology and humans where it appears that artifacts can perform, to a greater or lesser extent, human cognitive labour. This is evinced using examples that juxtapose technology with cognition, inter alia: abacus versus mental arithmetic; alarm clock versus knocker-upper; camera versus vision; and sweatshop versus tailor. Using novel definitions and analyses, sociotechnical relationships can be analysed into varying types of: displacement (harmful), enhancement (beneficial), and/or replacement (neutral) of human cognitive labour. Ultimately, all AI implicates human cognition; no matter what. Obfuscation of cognition in the AI context -- from clocks to artificial neural networks -- results in distortion, in slowing critical engagement, perverting cognitive science, and indeed in limiting our ability to truly centre humans and humanity in the engineering of AI systems. To even begin to de-fetishise AI, we must look the human-in-the-loop in the eyes.