Better prompts = better AI outputs • Structured → precision
• Analytical → research
• Conversational → ideas
• Planning → execution Great prompts are frameworks, not guesses. Via Giuliano Liguori (
@ingliguori
) #AI #Prompts #GenAI
@ingliguori
-

Better Prompts Are Frameworks Not Guesses
By
–
-

AI tool usage at scale: ChatGPT leads with 4.7B monthly visits
By
–
AI tool usage at scale is here. ChatGPT: 4.7B monthly visits (Jan 2025)
Canva: 887M
Google Translate: 595M
DeepSeek: 268M (massive surge) http://
Character.AI: 226M
Perplexity: 133M
Gemini: 118M
Claude: 105M AI isn’t a trend anymore — it’s infrastructure. What’s your #1 -

AI isn’t magic: it’s an 8-step process
By
–
AI isn’t magic. It’s a process. 8 steps:
define problem
collect/prepare data
choose model
train
evaluate
fine-tune
deploy
ensure ethics & safety Real value comes from running this loop well. #AI #MachineLearning #DataScience #ResponsibleAI -

AI Adoption Accelerates But Governance Missing, Risks Rise
By
–
AI adoption is accelerating.
So are the cybersecurity risks behind it. Companies are integrating AI into CRM, sales, operations and customer experience faster than ever. But many organizations are still missing a critical point: AI without governance creates exposure. -

Market Moving from AI Pilots to AI Operations with Governance
By
–
AI maturity is no longer about how many copilots a company has deployed. It is about whether AI can operate inside real workflows with: Identity Policy Workflow Audit The market is moving from AI pilots to AI operations. Governance is the scaling layer. The key
-

AI Maturity Shifts from Pilots to Operations with Governance Scaling
By
–
AI maturity is no longer about how many copilots a company has deployed. It is about whether AI can operate inside real workflows with: Identity Policy Workflow Audit The market is moving from AI pilots to AI operations. Governance is the scaling layer. The key
-

AI Agents as Orchestration Layers: Skills, MCP, Subagents, Hooks, Memory
By
–
AI agents are more than LLMs • Skills → expertise
• MCP → external connections
• Subagents → delegated tasks
• Hooks → automation
• Memory → persistent context Real AI systems are orchestration layers. Via Giuliano Liguori (
@ingliguori
) #AI #AIAgents #MCP -

Claude Mythos suggests better research directions 64% of the time
By
–
The most interesting result in Anthropic's latest paper isn't the 8x increase in code output.
It's this:
Claude Mythos Preview suggested a better research direction than humans 64% of the time.
We're moving beyond AI that writes code.
We're approaching AI that helps decide -

AI confidence vs accuracy: a humbling reality check
By
–
AI Reality Check
User: "Are you sure?"
AI: "Absolutely."
User: "Can you verify it?"
AI: "Absolutely."
User: "Can you show the source?"
AI: "…"
Confidence ≠ Accuracy.
What's the most confidently wrong AI answer you've ever received?
#AI #LLM #GenerativeAI -

LLM Wiki: future AI memory replaces retrieval with compilation
By
–
RAG is already becoming the “old way” The future of AI memory is not retrieval.
It’s compilation. Here’s the shift in one sentence: From searching information To structuring knowledge The new model? LLM Wiki Instead of: Chunking documents Running similarity