Lets be Honest Nobody knows where will market top, Market will give you opportunities if you survived. Invest where you have greater reward than your risk Call me idiot if you feel like, I am not scared I am just being reasonable... Be happy take profits.

I often thing who will be among us on the right side of the history, in Islam. Which country , group or sect

My prediction was also that schematics would be solved way before routing. That’s pretty much the case. A model can now create a schematic that is human readable, not that far from what I would make. But routing? Safe for a bit longer. Check out KiStack! github.com/American-Embedded…

Maybe I am wrong, lets see who solves Cad. I dont see it being solved yet. Only actual way I can see it being solved is every company in every niche starts building and focusing on automation and eventually have enough data to train AI models on..

I am not sure if I am right or wrong, but My rule of today life is to never agree with majority, if the enire globe is against someone that someone is doing probably somethinf right.. Also I look at the intellect of majority, like does even there remarks or vote matters or not

My entire livelihood depends on the success of $ETH and I wouldn’t have it any other way The Ethereum ecosystem retired me from my 9-5 years ago. I could’ve sold all my $ETH and moved on I’d probably feel great about it for a bit But I know it would end up being the biggest regret of my life And to think I’d perfectly time pivots into the AI trades is just naive. I don’t go there Selling before we reach trillions is a fool’s game $ETH will ultimately outperform the greatest AI stocks by orders of magnitude I know what I hold. I’m sitting on a field of pristine, scarce digital oil

Revolut, a leading fintech with 80 million customers globally, is launching a Euro stablecoin on Ethereum. Welcome to @Ethereum, EURR.

Morgan Stanley just published an @ethereum primer. Not an ETH price target or a trading thesis. A primer on Ethereum as infrastructure for stablecoins, tokenized assets, payments, settlement, lending, and financial applications. Assets converge where the liquidity is. Liquidity converges where the assets are. Institutions converge where both already exist. Ethereum has spent a decade compounding all three. Those network effects can't be replicated. Institutions building the future of finance are choosing Ethereum.

Just to tell u that I am going to be the very best in my field..

Majority of parents around the globe be it 1st 2nd or 3rd world largely underestimated the tech/computers/software and got left behind..they can read write on a paper but are decades behind digitally. They only use it as entertainment purpose and seeks help for anything else.

I ve learned to not inderestimate the new tech... I ll be learning everything about AI in next few month as I can...maybe not about building them but using them for useful purposes and not as a google search engine..

Ok so we are so back....not becoz price is up or I bought lower...but becoz on my timeline i can see the life back....so many bullish/bearish posts.... If price was on ATH rn i would be bearish ...but prices are very much down from ATH...only logical path is upwards only

Now I Love you duck

If I had 6 months to become an AI Engineer, I'd do this. Stage 1 — Programming Fundamentals (Weeks 1–2) Learn Python, Git, Linux, SQL, APIs, OOP, NumPy, and Pandas. Stage 2 — Math & ML Foundations (Weeks 3–4) Master linear algebra, probability, statistics, calculus, regression, classification, clustering, and evaluation metrics. Stage 3 — Deep Learning (Weeks 5–6) Learn neural networks, backpropagation, CNNs, RNNs, PyTorch, TensorFlow, and model training. Stage 4 — LLM Fundamentals (Weeks 7–8) Understand transformers, attention, tokens, embeddings, context windows, prompting, and function calling. Stage 5 — RAG & Vector Databases (Weeks 9–10) Learn embeddings, chunking, retrieval, reranking, LangChain, LlamaIndex, FAISS, Chroma, Pinecone, and Qdrant. Stage 6 — AI Agents (Weeks 11–12) Build agents using LangGraph, CrewAI, MCP, tool calling, memory, planning, and multi-agent workflows. Stage 7 — Fine-Tuning & Open Models (Weeks 13–14) Learn LoRA, QLoRA, PEFT, Unsloth, Hugging Face, model quantization, and inference optimization. Stage 8 — Multimodal AI (Weeks 15–16) Work with vision models, OCR, speech-to-text, text-to-speech, image generation, and document understanding. Stage 9 — Production AI Engineering (Weeks 17–20) Master FastAPI, Docker, Redis, PostgreSQL, authentication, caching, queues, monitoring, logging, and cloud deployment. Stage 10 — AI Evaluation & MLOps (Weeks 21–22) Learn LangSmith, W&B, hallucination testing, latency, cost optimization, CI/CD, Docker, Kubernetes, and model monitoring. Stage 11 — Build a Portfolio (Weeks 23–24) Ship: Production RAG Assistant AI Coding Agent Customer Support SaaS Multimodal Document Parser AI Research Agent AI Workflow Automation Deploy every project publicly with a live demo, README, and architecture diagram. Stage 12 — Job Preparation Practice Python, SQL, LeetCode basics, system design, ML concepts, LLM interviews, and AI engineering case studies. Apply for: +AI Engineer +GenAI Engineer +Machine Learning Engineer +Applied AI Engineer +AI Platform Engineer +AI Software Engineer Don't spend 6 months watching AI tutorials. Spend 6 months building AI systems people would actually use.

Ethereum💫

So I chosed Eangineering. Becoz someday i would need a reason beyond money.

MOST OF IT SHOULDN'T BE AI MOST OF IT SHOULDN'T BE AI MOST OF IT SHOULDN'T BE AI MOST OF IT SHOULDN'T BE AI Shoutout to every AI automation agency that I had to fire for overkilling AI slop all over the place when it should've been solid processes and solid enterprise tech.

I am doing and earthing studies for EHV/HV/MV Substation. Meet u guyz in 5 years