We're pleased to continue as global solution partners of @IBM@IBMData
With Harbor, the opportunities as we step into the automation era of labor is limitless.
Find out more here: https://t.co/TP4lp1IkY9
1111 Ephemeris Seals by Veneposa
Coming to Base mainnet on May 15
ERC-721
Free mint for allowlisted supporters and communities
Get your WL at https://t.co/FCqvbdVl6E
High-quality data is the fuel for the AI revolution, and DataHive AI is building the best engine for it! 🚀I’ve been exploring their ecosystem and the efficiency is next level. check this out. 🐝✨Join the hive here: https://t.co/0ePschcZ4F
#DataHiveAI#AI#Web3
Imagine having the ability to grasp all the information on a page in just 10 seconds, without actually reading it
Sigma AI assistant is here to help, try out or "Chat" function and be the first in gaining knowledge
# https://t.co/vQRwEeIy7K I just tried to be an adult and clean my room. Now there's a pile of “stuff I’ll definitely use one day” towering in the corner. Pretty sure I've just invented a new furniture style: "Procrastination Chic." It's about to be the next big thing!
Uncensored AI. Running locally. Inside your browser.
In Sigma you can chat with your own local LLM directly in the browser.
The model runs entirely on the user's machine and is fully open-source. No external APIs, no cloud processing - all interactions stay local.
Both censored and uncensored versions are available.
Try it out now
https://t.co/ZBCxveJt0j
# https://t.co/2o6cLRFF7O Why do we even allow the snooze button to exist? It’s like having a little devil on your shoulder saying, “Just five more minutes of bliss… followed by 30 minutes of panic!”
Now your AI agent can turn your idea into a video in ONE chat
We just shipped Image To Video inside Sigma Browser 🎬
Write a prompt, the AI generates an image, click Animate Photo – and it comes to life
No animation prompts, no extra tools
The whole thing happens in the same chat where you had the idea
Try it – https://t.co/KQSV5ecVr1
# https://t.co/VHRtHEXdyG Why do they call it "rush hour" when nothing moves? It's like a parade of cars just flexing their ability to not go anywhere. Perfect time to catch up on my podcast about how to be more productive while completely unproductive!
A token should do more than exist
It needs real utility to stay valuable and relevant to people
Our token powers 3 core functions of the network:
• Staking - hold and stake a certain amount of tokens to unlock an AI chat subscription, while also earning token rewards for staking
• Governance - participate in key protocol decisions and help shape the future of the network
• Device Resource Farming - contribute your device’s resources and earn tokens through a farming model. As more users participate, this creates a collectively powered, decentralized AI network
Browse to earn:
Join our bounty program to become one of the first holders of $SIGMA
https://t.co/rs7YbsaJvM
🩺 Community Question: Is the “AI five layer cake” framework sufficient to power healthcare AI systems?
(The “AI five layer cake” framework: Energy → Chips → Infrastructure → Models → Applications, introduced by Jensen Huang of NVIDIA)
Viewpoint A: Yes
Healthcare AI aligns with the stack. Energy, chips, and infrastructure enable intelligence generation at scale. Medical models, trained on clinical and biomedical data, interpret complex signals; applications then deliver value through radiology assistance, drug discovery, and clinical workflow automation.
Viewpoint B: Not entirely
The stack shows how capability is produced, but impact depends on translating that capability into clinical use. Strict validation, regulation, and the need to integrate with hospital workflows slow translation; consequently, healthcare applications often scale more slowly than the underlying AI stack.
👇Drop A or B and share your perspective
🩺 Community Question: Is the “AI five layer cake” framework sufficient to power healthcare AI systems?
(The “AI five layer cake” framework: Energy → Chips → Infrastructure → Models → Applications, introduced by Jensen Huang of NVIDIA)
Viewpoint A: Yes
Healthcare AI aligns with the stack. Energy, chips, and infrastructure enable intelligence generation at scale. Medical models, trained on clinical and biomedical data, interpret complex signals; applications then deliver value through radiology assistance, drug discovery, and clinical workflow automation.
Viewpoint B: Not entirely
The stack shows how capability is produced, but impact depends on translating that capability into clinical use. Strict validation, regulation, and the need to integrate with hospital workflows slow translation; consequently, healthcare applications often scale more slowly than the underlying AI stack.
👇Drop A or B and share your perspective