Prashant Rabary

Turning complexity into product clarity. AI, growth & markets. 🇮🇳 ➡️ 🌍 | Writing at

[Prashant Rabary @prashantrabary]

This makes me wonder, should one use data to eliminate risk or deliberately assume risk(which your competition is too brittle to handle)

[Prashant Rabary @prashantrabary]

Risk: eliminate or absorb?

A contrarian perspective on how taking on more risk unlocks innovation

[Prashant Rabary @prashantrabary]

By having ownership of batteries on a large scale, Nio closely monitors the thermodynamic and degradation data of its fleet. It enables Nio to predict the lifecycle value of its batteries and to manage grid charging times to manage energy costs effectively.

[Prashant Rabary @prashantrabary]

@JamesMelville The problem is that we are trying to run computationally heavy neural nets on an inefficient architecture. The Von Neumann Architecture is hitting the Memory wall! Shuttling data back and forth between the memory and the processor consumes more energy than actual computation.

[Prashant Rabary @prashantrabary]

@femiiiszn People value quick convenience. The Scale of Social Media proves this longing for instant gratification.

[Prashant Rabary @prashantrabary]

AI boom: Conjecture or Uncertainty?, by @PrashantRabary https://t.co/Iwatr3JaUS

[Prashant Rabary @prashantrabary]

Why LLMs hallucinate?, by @PrashantRabary https://t.co/Weg5WwbrCo

[Prashant Rabary @prashantrabary]

Ethics of Disruption: My take on OpenAI Governance drama and its evolution over time. https://t.co/DTnOlS4ev0

[Prashant Rabary @prashantrabary]

Governance by design 2: rouge agent vs ambiguous human https://t.co/RncU01n7mi

[Prashant Rabary @prashantrabary]

This report analyses the position of LexisNexis, which is a US-based risk and legal services firm, some ways LN should evolve, followed by strategic insights LN can leverage to fasten up its AI-based tool’s adoption and win consumer trust in AI

https://t.co/ps2JNgbAhi

[Prashant Rabary @prashantrabary]

@imthepk Claude

[Suryansh Tiwari @Suryanshti777]

🚨Breaking: Most people will still be “learning AI” in 2026.

A small group will be shipping, automating, and replacing workflows with it.

These 9 skills decide which side you’re on 👇

• Prompt Engineering
(ChatGPT, Claude, Gemini)

• AI Workflow Automation
(Zapier, Make, n8n)

• AI Agents
(CrewAI, AutoGen, LangGraph)

• RAG (Retrieval-Augmented Generation)
(LangChain, LlamaIndex, Vectara)

• Fine-tuning & Custom GPTs
(OpenAI GPT Builder, Hugging Face, Cohere)

• Multimodal AI
(GPT-4, Gemini, Grok)

• AI Video Generation
(Runway, Pika, OpusClip)

• AI Tool Stacking
(Notion, Zapier, ClickUp)

• LLM Evaluation & Management
(Helicone, TrueLens, PromptLayer)

Hot take:
If you’re only “using ChatGPT”, you’re already behind.

The real leverage is systems, not prompts.

Save this.
Revisit it in 6 months.
You’ll thank yourself.

♻️RT if you’re building, not just experimenting.
Follow @Suryanshti777 for real-world AI workflows.

[Prashant Rabary @prashantrabary]

@Suryanshti777 AI

[Prashant Rabary @prashantrabary]

@godofprompt Claw

[Prashant Rabary @prashantrabary]

@Axel_bitblaze69 It is an interesting theory. But, These wallets that Agents will use, wont they be tied to a LEI(Legal Entity Identifier)? Basically a human in the loop ?
Also AI consumes shit ton of energy (electricity) will current grids support such spike in consumption?