Just published my Day 1 highlights from the AI Engineer World's Fair 2025! 
Key takeaways:
Swyx's "SPADE" for AI's Standard Model
Sarah Guo on "Cursor for X"
Simon Willison's "pelican test"
Model Context Protocol (MCP)
Greg Brockman & Swyx on AI Engineering
Full recap: https://craftycto.com/blog/aiewf2025-my-day-1-highlights/
Just published my Day 1 highlights from the AI Engineer World's Fair 2025!
Key takeaways: Swyx's "SPADE" for AI's Standard Model Sarah Guo on "Cursor for X" Simon Willison's "pelican test" Model Context Protocol (MCP) Greg Brockman & Swyx on AI Engineering
Full recap: https://craftycto.com/blog/aiewf2025-my-day-1-highlights/
Maximizing AI Potential: A Comparison of Multi-Agent and Single-Agent Systems
Not sure whether your product needs a multi-agent or single-agent system? Bluebash helps you decode the pros and cons of each so you can design smarter, more scalable AI solutions. From performance gains to real-world use cases—we've got you covered.
Ready to make informed AI decisions?
Get the full breakdown here: https://www.bluebash.co/blog/multi-agent-vs-single-agent-systems/
#MultiAgentSystem #SingleAgentSystems
#AIArchitecture
#ArtificialIntelligence
#AIDevelopment
#AIEngineering
#AutonomousAgents
#AIStrategy
#USA
#Bluebash
5,000 AI agent failures.
42% now predicted before they happen.
Downtime slashed by 57%.
Discover how agentic AI systems are evolving to forecast their own breakdowns—before executing a single action. A system-aware cognitive loop could be the future of intelligent decision-making.
#AI #AgenticAI #LLM #PredictiveAnalytics #FailureForecasting #CognitiveSystems #AIEngineering #MLOps #AIAgents
https://medium.com/@rogt.x1997/5-000-failures-later-what-we-learned-about-forecasting-ai-agent-crashes-in-real-time-9219a8e60881
Part1: #dailyreport #conference #ai #aitrends #techtrends #tech
#programming #science #systems #aiengineering #learing
I was at advertising meetup of biggest tech universities:
Skolkovo and CentralUn. (New articles is week and
military oriented.)
Highlights:
- Science history:
1) Theory ~25 centuries
2) Experiment ~5 cent.
3) Computational science ~0.7 cent.
4) Big data Science ~0.2 cent.
- Active learing (AL) as part of advanced LLM systems.
- Pruning and reducing large LLMs to increase speed in
tasks.
- Optimization as the core of most modern algorithms.
- Topological Autoncoders is cool tool for 3D and
audio simplification for AI training.
AL Sampling Scenarios:
- *Stream-based* We check every new instance, which
carries the risk of missing informative examples.
- *Pool-based* We have a pool of instances to choose
$3.83 Billion by 2025? That’s the MLOps market powering GenAI at scale.
Discover the 5-stage blueprint keeping LLMs from going rogue – from hallucination drift to real-time prompt correction. 
#GenAI #MLOps #AIEngineering #ModelOps #LLM #AIStack
https://medium.com/@rogt.x1997/3-83-billion-by-2025-why-mlops-is-becoming-the-backbone-of-scalable-ai-c9571db4e66b
Falling behind in fast-changing software? 
Early Bird ends TOMORROW for #InfoQDevSummit Munich (Oct 15-16)! Learn from peers, no hidden sales pitches.
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Building Local AI Agents: Semantic Kernel and Ollama in C#
https://laurentkempe.com/2025/03/01/building-local-ai-agents-semantic-kernel-and-ollama-in-csharp/
My latest post at @TheNewStack -> Meta has released the Llama Stack to make it easier for developers to build with Llama LLMs. It's an attempt to standardize AI engineering. https://thenewstack.io/llama-stack-released-to-help-developers-build-agentic-apps/ #AIEngineering #LLMs #Developers
Read Now:
Bringing 3+? Email info@qcon.ai for group discounts.
