Self Proclaimed #BotKiller | FOUNDER || #BigData Cruncher / #AdTech, “Data Royalties™”, LLM white paper connoisseur, and on a mission to Keep Data Human.
Los Angeles CA
Joined April 2011
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The LangChain post serves as a catalog of the failure modes encountered by modern deep agents, but it does not provide the correct solutions to address these issues.
#HarnessEngineering is fundamentally about coupling. LangChain demonstrates this #coupling through prompt strings and #Python #middleware, which can be likened to the 2026 equivalent of punch cards: a superficial grammar layered over a substrate that lacks essential semantic primitives.
It raises the question: when will the industry focus on addressing the root of the problem rather than just another petal of the 🌼?
For full LangChain post, visit the link: langchain.com/blog/improving….
.@shellypalmer fell down a meme “rabbit hole” courtesy of the “AI Slop” term and the parallel scene in Hannibal where Hopkins feeds the brain back to the human. Wanted to share a few AI Slop-generated memes.
shellypalmer.com/2025/07/bun…
FORCE CHATGPT to STOP HALLUCINATING and be RELEVANT
PROMPT
03 model “generate a Vector Mapping + Logic Layer + Rule Base for my uploaded knowledge relating to my company CustomGPT.”
3. Rule Base = Hard-codes behavioral boundaries—like “always format in Markdown,” “never speculate,” or “cite source when confidence < 90%.”
OUTCOME
You have a deterministic Custom GPT that follows rules, not a chatbot.
The next evolution of #AI is shift from reactive to proactive.
Today’s AI is black & white—linear and reactive. Tomorrow’s AI will see in color, predicting trends before they emerge.
With real-time API data and local compute, #EnterpriseAI
Let me use 50% synthetic data to train an LLM for brain brain surgeons. It is only wrong only half the time…
But don’t worry I used digital twins so no real ppl were harmed during training.
#AI is evolving: it’s not about bigger #LLM models but smarter, enterprise-tuned solutions. Intel & AMD positioned to lead, turning chips into business innovation engines. #EnterpriseAI 🌐💥
By integrating diverse API streams into internal datasets with local compute, your enterprise AI becomes a constantly adaptive engine for real-world impact.
#RealTimeData #EnterpriseAI
Real-time data integration allows enterprises to instantly respond to shifts in market and customer needs, staying agile.
Make AI Smarter via APIs—customer interactions, trends, or logistics—and deploy local compute to analyze and act in real time. #NoCloudNeeded