OpenAI-backed robot can clean your own home

Welcome, AI enthusiasts.

OpenAI-backed 1X Technologies just unveiled NEO Beta, essentially the most realistic AI-powered robot yet, designed for on a regular basis home assistance.

With the humanoid preparing for business use next 12 months, are we on the point of having robot butlers in our homes? Let’s get into it…

In today’s AI rundown:

• 1X’s NEO robot acts similar to a human

• Amazon’s Alexa gets a Claude power-up

• Tips on how to use Claude’s recent ‘Explain‘ feature

• Train AI with your own home computer

• 5 recent AI tools & 4 recent AI jobs

• More AI & tech news

Read time: 4 minutes

LATEST DEVELOPMENTS

1X TECHNOLOGIES

🤖 1X’s NEO robot acts similar to a human

The Rundown: 1X Technologies just unveiled essentially the most realistic AI-powered humanoid yet: NEO Beta, a sophisticated robot designed for on a regular basis home assistance with human-like capabilities in movement, interaction, and task performance.

The main points:

• NEO Beta stands 5 feet 5 inches tall, weighs 66 kilos, and may walk at 2.5 miles per hour and run at 7.5 miles per hour.

• The robot has a carry capability of 44 kilos and may operate for two to 4 hours on a single charge.

• NEO Beta uses embodied artificial intelligence to grasp its environment and learn from past interactions.

• It’s designed to perform a wide selection of tasks, from household chores to providing companionship and support for people with mobility challenges, and it will possibly be remotely operated by a human if needed.

Why it matters: The race to an inexpensive robot butler is officially underway and 1X Technologies just boosted itself into the identical conversation as China’s AGIBOT fleet and Tesla’s Optimus. NEO is so realistic and smooth that 1000’s of individuals on X (Twitter) were debating if it was an individual in a suit.

TOGETHER WITH GOOGLE DEEPMIND

🎙️ Find out about AI from Google DeepMind

The Rundown: Google DeepMind’s podcast, hosted by Professor Hannah Fry, offers exclusive insights from leading AI researchers, exploring groundbreaking developments which are shaping our technological future.

Within the series, you’ll explore:

• The role of gaming in the event of agentic AI

• How AI can push the boundaries of mathematics, digital biology, and material sciences

• Upcoming innovations from Google, including Project Astra and Gemini

• The critical importance of AI safety and alignment

Watch or listen now on YouTube, Spotify, Apple Podcasts – or wherever you get your podcasts.

AMAZON

📦 Amazon’s Alexa gets a Claude power-up

The Rundown: Amazon’s upcoming “Remarkable” version of Alexa is ready for release next month and can reportedly use Anthropic’s Claude AI models reasonably than Amazon’s in-house technology.

The main points:

• Initial versions using Amazon’s in-house AI struggled with slow response times and poor performance.

• Amazon turned to Anthropic’s Claude AI because it outperformed the corporate’s models, an unusual move for the enormous which generally prefers to make use of its own tech.

• The upgraded Alexa goals to supply more complex conversations, shopping advice, and improved home automation.

• Amazon plans to charge $5 to $10 monthly for the brand new AI-powered Alexa version, with the “Classic” version remaining free.

Why it matters: This decision highlights the complexity and challenges that even tech giants face in developing advanced AI systems. Google is developing its own AI, but Apple turned to OpenAI and similarly, Amazon is now turning to Anthropic.

AI TRAINING

💡 Tips on how to use Claude’s recent ‘Explain‘ feature

The Rundown: Claude’s newest ‘Explain‘ feature allows users to immediately get an evidence on any highlighted text (or code) inside an artifact — enabling a brand new approach to learn and understand complex topics.

Step-by-step:

1. Access Claude AI and begin a conversation that generates a code artifact.

2. Click on the artifact to enter the code view.

3. Highlight any portion of the code, then click “Explain” for immediate clarification or “Improve” to suggest changes.

4. Take a look at the chat for the reason or the Artifact for the updated version.

Pro tip: Try highlighting different parts of components to achieve a deeper understanding of how they work!

AI RESEARCH

🌐 Train AI with your own home computer

The Rundown: Nous Research recently introduced DisTrO, a brand new approach to train large AI models that drastically reduces the necessity for super-fast web connection, potentially allowing training on regular home computers and web connections.

The main points:

• DisTrO cuts down the quantity of knowledge that should be shared between computers by 857 to 3000x during pre-training, and as much as 10,000x during fine-tuning.

• The strategy is architecture-agnostic and network-agnostic, working with various model types and network setups.

• In tests, DisTrO successfully trained a 1.2B parameter language model with performance on par with traditional methods.

• The researchers suggest this might enable decentralized AI training that might be done from home.

Why it matters: Without delay, training state-of-the-art AI models is proscribed to big tech firms with massive computing resources. DisTrO could democratize AI training by allowing on a regular basis people and smaller organizations to take part in AI development using regular computers and web connections.

NEW TOOLS & JOBS

Trending AI Tools

• 💻 Vercel v0 – Generate UI with easy text prompts and pictures

• 📞 Bland – Automate phone calls with AI

• 🎥 Creatify 2.0 – Create and edit viral social media videos

• 🗣️ OpenHome – Conversational voice SDK for any platform

• 🎓 CheatSheet AI – Create visual cheat sheets on any topic

Recent AI Job Opportunities

• 📱 Mistral AI – Mobile Engineer

• 👩‍💻 Luma AI – Senior Software Engineer, Frontend

• 🥽 Meta – Research Scientist, Reality Labs

• 🎨 Cohere – Senior Product Designer

QUICK HITS

Google partnered with Indian startup Salcit Technologies to develop AI that detects tuberculosis and other diseases from cough sounds.

Amazon hired Covariant AI robotics experts and licensed their foundation models to advance warehouse automation capabilities.

Oprah Winfrey announced a primetime ABC special exploring AI’s societal impact, featuring interviews with tech leaders like Sam Altman and Bill Gates.

Stanford Medicine researchers developed nuclei.io, an AI tool helping pathologists discover diseased cells more quickly and accurately.

Coinbase executed its first AI-to-AI cryptocurrency transaction, demonstrating AI agents’ ability to make use of digital wallets for autonomous trading.

Tom Hanks warned followers about fraudulent AI-generated ads using his likeness without consent to advertise unauthorized products.

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