1 Year Ago
Chatbots - State of the Art
Pattern recognition, niche expertise, multimodal processing, domain-specific excellence, efficiency gains.
6 Months Ago
Intermediate AI - Thinking Models
Enhanced planning and reasoning, creative problem-solving, sophisticated world models, improved robustness.
Today
AI Agents - Strong planning and reasoning, sophisticated world models, active task execution, autonomous operation, negotiation with other agents.
End of Year
Artificial General Intelligence - Human-cognition and creativity, complex reasoning, accurate world models, long-term memory. Scaling alone is insufficient for AGI; breakthroughs are required. Safety, deception prevention, and ethical development are critical. AI agents lead the transition to AGI and then to ASI.
1 Year - Artificial Super Intelligence
Surpassing human cognition, revolutionary scientific breakthroughs, world-reshaping potential, extending biological limits.
Enterprise SaaS tries to solve : fragmented tools, disconnected data, duplicate context, and no trusted coordination layer.
Yet Enterprise SaaS created fragmented tools, disconnected data, duplicate context, and no trusted coordination layer for agents.
Why
Billion dollar Agentic category staring you in the face.
You have the tools and knowledge to execute. Your job? Just Resource allocation.
How are you still failing. It’s bc no one cared to explain how to allocate.
How did @kevinolearytv quickly shift the narrative surrounding his data center?
Well, just like fixing an LLM that is hallucinating, he established a grounded truth.
Hard facts. Hard copies. Hard to argue.
That's the best real-world example of how important it is to establish grounded truth.
Respect
Voice agents are getting a face.
LiveAvatar now integrates with LiveKit, Pipecat, Agora, and VisionAgent so the agents you already built can become real-time avatar experiences in a few lines of code.
Keep your stack. Add presence.
Setup guides below ↓
Data centers are not the primary cause of this issue. In fact, the amount of water all 21 data centers will use annually is so small by comparison that you’d consider it a rounding error.
According to official New Mexico water-use data, agriculture accounts for approximately 78% of the state’s total water withdrawals, which amount to around 977 billion gallons annually.
In comparison, data-center consumption is negligible.
The total number of data centers, including both existing and planned facilities, is 21. They will withdraw less than 0.2% of New Mexico’s overall water annually.
@grok It appears we lack complete information on the breakthroughs cited by Elon.
Can you explain the breakthroughs and provide use case examples/ what’s possible / ideas for unlock.
For enterprises, you win by taking action on their data to create new opportunities and improve existing operations while keeping transparency and security a priority.
What this looks like:
Extensions and widgets in email, Teams, Slack.
Anything you can’t ship natively, offer add-on tools or skills. E.g., a skill for Copilot to use in Excel, Word, etc.
For the AI lords. I think winning consumer market share is about integrating your model into every available edge use case.
First, your MVP must prioritize your MCP’s ease of accessibility.
Then extend what’s possible for users at these locations:
Chrome/Safari extensions (desktop & mobile) — knowledge, recommendations, and task tracking.
Keyboard extensions (desktop & mobile) — create, manage, and automate communication.
Watch apps — tracking, reporting, and informing.
TV apps/extensions — summaries, recommendations, and curated content.
CarPlay widgets — voice, knowledge, and location.