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- Norwegian startup 1X unveiled NEO Beta
Norwegian startup 1X unveiled NEO Beta
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TOGETHER WITH
Good morning, human brains, and welcome back to your daily munch of AI news.
Here’s what’s on the menu today:
Meet NEO: The robot butler 🏠 🔥
Norwegian startup 1X unveiled NEO Beta.
Create AI tutorial videos instantly 🎥 🕺
Guidde offers effortless video documentation.
Fast, smart, and multilingual models 🤖 💕
Cohere announced updates to its AI models.
Sponsor Bot Eat Brain and reach over 20,000 readers.
(Now 50% off)🤯
Peep today's ‘What Would You Do?’ at the bottom. 👇
MAIN COURSE
Meet NEO: The robot butler 🏠 🔥
On Wednesday, Norwegian startup 1X unveiled NEO Beta. It’s a humanoid robot designed to assist in home environments.
What can NEO do?
It can retrieve and hand over objects (like backpacks), unpack and handle delicate items (like wine glasses, eggs), interpret human gestures and voice commands, lift up to 44 lbs, walk at 2.5 mph and jog at 7.5 mph.
What makes NEO special?
It features silent operation (unlike its noisy competitors), human-like dexterity with five-fingered hands, is 5.41 feet tall and weighs 66 lbs, uses “muscle-inspired” anatomy instead of rigid hydraulics, and employs embodied AI for continuous learning and adaptation.
Why should I care?
NEO could revolutionize home assistance and elder care. 1X is already testing NEO in real homes for feedback.
Where did 1x come from?
1X raised $100 million in January. Backers include OpenAI, Tiger Global, and EQT Ventures. NEO builds on lessons from 1X's previous robot, EVE.
Is it too good to be true?
Perhaps. Some on social media accused the demo videos of being fake.
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SIDE SALAD
A fast, smart, and multilingual model 🤖 💕
On Wednesday, Cohere announced significant updates to its Command R and Command R+ AI models. It enhances their enterprise-level capabilities.
What's new?
The newest model has a 50% increase in throughput and a 20% reduction in latency. The hardware footprint is halved, it contains support for 23 languages, and boasts improved coding, math, and logical reasoning skills.
Why does it matter?
It provides faster, more cost-effective AI operations for businesses. It boasts reduced AI hallucinations with accurate, multilingual citations. It features enhanced structured data analysis for better decision-making, customizable AI governance and new Safety Modes.
Key features:
Multilingual RAG (Retrieval-Augmented Generation).
Seamless planning, tool querying, and question-answering in the user's language.
Improved Structured Outputs for better JSON generation.
Reduced sensitivity to non-semantic prompt changes.
Safety first:
It contains new “Strict” and “Contextual” safety settings:
Strict Mode: Rigorous content guardrails for corporate use
Contextual Mode: More flexible for creative and academic applications
What's the damage?
It comes in two models:
command-r-08-2024: $0.15 per million input tokens, $0.6e0 per million output tokens
command-r-plus-08-2024: $2.50 per million input tokens, $10.00 per million output tokens
Where can I get it?
It’s available via Cohere's hosted API and Amazon SageMaker. Cohere plans to expand to additional cloud platforms.
YOUR DAILY MUNCH
Cool Tools ⚒️
This is Bill:
Bill is the business owner of a small business that generates ten million dollars in revenue. Bill had his cousin Chad do all the IT work in his office.
Sure, it's messy, but it gets the job done.
Until today…
Today, Bill is explaining to his staff that Chad forgot to back up their networks. There was also a hack last night where their client credit card information was leaked.
All of this could have been prevented if Bill chose Reppert Factor to outsource his IT department.
So tell us… who's your Chad?
Think Pieces 🧠
Leeds University developed Find-HF. It uses patient data to predict the risk of heart failure, potentially allowing for earlier treatment.
Startup News 💰
Amazon hired Covariant executives. It’s a new AI platform designed to enable robots to interpret and execute human-like commands.
Research 👨🔬
BaichuanSEED — an open-source 7B large language model trained on 3 trillion tokens using a transparent data processing pipeline.
WavTokenizer — compresses and reconstructs audio signals using only a single quantizer, achieving state-of-the-art performance with minimal tokens.
FURRY FRIENDS
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MEMES FOR DESSERT
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WHAT WOULD YOU DO?
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