AI's made its name in the digital space. But thanks to Archetype AI, it's broken away from its silicon prison to learn about our physical world. Archetype's Newton, a Large Behaviour Model, is currently crunching data from sensors like cameras and radars to create a unified representation of the physical environment. This allows for real-time insights and predictions, enabling applications such as smarter homes, safer vehicles, and improved industrial processes. Archetype is currently working to make Newton accessible to everyone, allowing individuals and businesses to utilise its capabilities through an API and various applications.

Imagine a world where a doctor, armed with an AI-powered assistant, can diagnose diseases like pancreatic cancer earlier, potentially saving thousands of lives annually.

This isn't science fiction; it's the reality Microsoft is building through its AI for Health program.

This program, like a master conductor, is orchestrating an AI symphony with tools like cutting-edge imaging analytics, allowing AI to identify tumours often missed by the human eye.

It's not just about improving diagnoses, it's about improving access to healthcare too. Imagine a virtual health village, accessible 24/7, where AI-powered chatbots like 'Quitbot' can help people quit smoking or guide them through symptom triaging.

This vision is becoming a reality with Azure Health Bot, which can be easily customised to support a wide range of healthcare scenarios.

The power of these breakthroughs lies in the integration of diverse data types - medical imaging, genomic data, clinical records - all analysed by AI models in Azure AI Studio.

It's like having a super-powered detective, capable of analysing millions of clues at once, uncovering hidden patterns and insights that could revolutionise healthcare. This could lead to more personalised treatment plans, faster drug discovery, and a deeper understanding of complex health issues.

Microsoft is building a future where healthcare is more accessible, efficient, and effective - a future where AI empowers both patients and medical professionals to achieve better health outcomes.

Imagine your marketing team brainstorming hundreds of genuinely inspired ideas in seconds.

That's the potential of Thought Preference Optimisation (TPO), a new AI technology from Meta.

TPO is like giving your AI a brain. Unlike standard AI, which rushes to spit out the first answer, TPO takes time to 'think' things through. It generates internal thoughts, invisible to you, and uses them to refine its responses before presenting the best one.

This is a big development for marketing. In trials, TPO outperformed standard AI on key marketing and creative writing benchmarks.

Think of it as your AI team going through rounds of internal brainstorming and presenting you with only the most polished, effective ideas.

Here's a quick example:

Prompt: Write a tagline for a new brand of sustainable sneakers made from recycled ocean plastic.

Standard LLM Output:

Walk with the ocean.

TPO Output:

1. Internal Thoughts:

The tagline should be concise and impactful.

It should highlight the sustainability aspect.

It should appeal to the target audience who care about the environment and style.

Possible themes: ocean conservation, recycled materials, stylish and eco-conscious.

2. Tagline: Style that tides the world.

The standard LLM output is quick and direct, but lacks depth and creativity. It fails to convey the unique selling proposition.

The TPO output demonstrates a more deliberate and thoughtful process. The internal thoughts reveal how the AI considers different factors and explores potential themes before arriving at a tagline that is more creative, memorable, and relevant to the brand's mission.

When can you get your hands on this? While still under development, TPO builds on the latest AI research from Meta and OpenAI.

Find out more on the latest episode of AI Today...

Former Deloitte consultant Varun Kulkarni spent 8 months honing his application strategy to score a huge payday as a senior AI product manager gig with Cisco. On today's show we explore how he did it - so you can, too...

AI is a paradigm shift for thinking and understanding. Our old frameworks and models are being challenged into obscurity by a new way of looking at the world. And even the things we used to think of as a human-centred endeavour - inventing previously inconceivable things to change lives - can now be generated by our digital colleagues. Today's show is designed to be challenging; stick around to have your mind blown...

Spotify chiefs say 'work isn't where you are. It's what you do.' While Dell and Amazon say RTO - or GTFO.

The COVID-19 pandemic forced companies and employees to work remotely. In the wake of this disruption, employees and employers have found that remote work presents exciting opportunities.

For workers, remote work can provide greater flexibility, improved work-life balance, and a shortened commute. Employers can also benefit from reduced overhead costs, increased productivity, and access to a wider pool of talent.

However, remote work also poses some serious challenges. One of the biggest is maintaining communication and creating a sense of community among remote workers. Another challenge is ensuring that remote workers are not exploited and that their rights are protected.

This is the crux of the issue. When it comes to remote work, employees can feel more disposable since employers do not build the same level of empathy and relationships as they do with office workers. This is because remote workers are often "out of sight, out of mind." As a result, the lines between employee and contractor can become blurred.

Despite the challenges, remote work is here to stay. It is therefore vital to find ways to make it work for both employers and employees. This includes establishing clear communication channels, creating a sense of community, and ensuring that remote workers' rights are protected.

On today's AI Today we review an important discussion piece by Dario on the future of this world-changing technology.

What's the big idea? The one key message for business leaders from Dario Amodei's essay is to boldly embrace AI as a tool for accelerating positive change across diverse areas of human endeavour.

Amodei argues that AI, particularly the kind he calls "powerful AI", possesses immense potential to solve complex problems and improve human lives.

This message is interwoven throughout his discussions on curing diseases, alleviating poverty, improving governance, and even finding new sources of meaning in a rapidly changing world.

Amodei challenges business leaders to think beyond the typical applications of AI such as automation and data analysis.

He envisions AI as a proactive agent that can work alongside humans to design experiments, develop groundbreaking technologies, and even reshape economic models to create a more equitable society.

Amodei's vision of a "compressed 21st century," where decades of potential progress are achieved in a few short years, is a call to action for business leaders to be at the forefront of this transformative wave.

He stresses the need for collaboration between AI companies, governments, and civil society to ensure that these benefits are accessible to everyone.

While acknowledging potential risks and challenges, Amodei maintains an optimistic outlook on AI's potential to bring about a future marked by longer, healthier lives, greater economic opportunity, and a more democratic and just world.

This optimism is not naive; it is rooted in a deep understanding of the transformative power of previous technological revolutions and a belief in humanity's ability to steer technological progress towards positive ends.

Amodei's vision challenges business leaders to be not merely participants in the AI revolution, but architects of a future where AI serves humanity's highest aspirations.

Read Machines of Loving Grace by Dario Amodei: https://darioamodei.com/machines-of-loving-grace

On the latest episode of AI Today we're connecting the bots with OpenAI's Swarm, a breakthrough framework creating teams of AI agents to complete complex business tasks.

Discover how this innovative technology can revolutionise your customer service, boost efficiency, and unlock new levels of innovation.

10 things you'll learn by listening to the show...

Specialised AI "Agents" Working Collaboratively: Swarm employs a team of AI agents, each with unique skills, working together seamlessly on specific tasks.

Seamless "Handoffs" between Agents: As a task progresses, agents intelligently transfer it to the most suitable agent, ensuring optimal handling without human intervention.

Enhanced Customer Service: Swarm can intelligently route customer queries to the right specialist, eliminating frustrating transfers and improving satisfaction.

Increased Efficiency and Productivity: By automating tasks and streamlining workflows, Swarm allows human employees to focus on strategic, high-level work.

New Opportunities for Creativity and Innovation: Swarm empowers businesses to automate routine tasks, freeing up resources for creative exploration and innovation.

AI as a Partner, Not a Replacement: Swarm emphasises AI as a collaborative partner, augmenting human capabilities rather than replacing them.

Democratisation of AI: Swarm's lightweight design makes it accessible to businesses of all sizes, enabling them to build custom AI solutions.

Personalisation: Swarm has the potential to create truly personalised AI experiences that learn and adapt to individual preferences and needs.

Privacy and Control: Swarm's "stateless" nature (unless programmed otherwise) ensures that each interaction is treated as a fresh start, protecting user privacy.

Reliability Through "Graceful Degradation": Even if one agent encounters an error, the system continues functioning, handing off tasks or providing partial results.

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