this is pure f*cking treasure
how to build your first ai agent (complete walkthrough)
if someone handed me this a year ago, i would’ve launched my first agent in a single day instead of burning two weeks
with the right person behind it, this rewrites the whole game:
try: https://t.co/4rEItVdKAW
There are 2 career paths in AI right now:
The API Caller:
Knows how to build with LLMs.
The Architect:
Knows how LLM systems are built.
If you want to move toward the second, Stanford has one of the best free LLM engineering playlists on YouTube:
CS336: Language Modeling from Scratch.
The 2026 course has 19 lectures covering almost the entire LLM stack -
➡️ Build the model: Tokenization, Transformers, architectures, MoE
➡️ Understand the hardware: FLOPs, memory, GPUs, TPUs
➡️ Make it fast: Triton, GPU kernels, parallelism, distributed training
➡️ Train it: Scaling laws, data collection, filtering, deduplication
➡️ Run it: Inference, evaluation
➡️ Post-train it: SFT, RLHF, RLVR
Plus multimodality.
And you don’t only watch lectures.
> You implement the tokenizer, Transformer and optimizer.
> You write FlashAttention2 in Triton.
> You build memory-efficient distributed training.
> You turn raw Common Crawl dumps into pretraining data.
> You fit a scaling law.
> You use SFT + reinforcement learning to train a language model for mathematical reasoning.
Stanford says students write at least an order of magnitude more code than in most other AI classes.
Stanford CS336. Spring 2026. 19 lectures. Free on YouTube.
Choose your path.
(Playlist in the comments.)
♻️ Repost to save someone $$$ and a lot of confusion.
Kimi K3's weights are free to download. Almost nobody on earth can actually run them.
2.8 trillion parameters. The download is the easy part.
Open weights used to mean you could self-host. At this scale it means you can read the file.
So people download it and call the API anyway. Daily revenue up at least 6x since launch.
Openness stopped being the opposite of a business model. It became the top of the funnel.
The license says the quiet part. Past $20M in revenue you negotiate a contract. Past 100M users you display their name.
Free for the developer. A contract for anyone the model actually earns from.
And publishing the weights kills the argument before it starts. Nobody can claim the benchmarks were cooked.
Independent indexes put K3 top three overall and first in frontend coding, with no one taking Moonshot's word for it.
That's the whole trade. Give away the artifact, keep the infrastructure, get the audit for free.
Check the last open model you praised. Ask whether you could serve it, or only download it.
your ai agent tested 1,262 trading strategies overnight. by morning it had forgotten every one of them.
so tonight it tests some of them again. next week, again.
everything it learned is sitting in a log file that nothing reads. every run starts on the same blank page.
that's why it keeps handing you the idea that already died in a crash, with a new name on it, and you pay to find out twice.
ai agent already does everything a fund does.
finds the idea, writes the code, tests it against years of history, puts it live, reads what went wrong afterwards.
all of it runs tonight for nothing.
the one thing it can't do is remember. what got tried, what failed, in which market. nobody has built that part yet.
that's the whole gap. not better models. a notebook.
whoever builds it first gets a system that improves every week without them touching it.
read the article below and save it. it's the full guide to how an ai trading agent is built, and how to make it remember every strategy it has already tested.
I have finished my AI Engineering journey, from Python and ML fundamentals to LLMs, RAG, agents, model evaluation, AI security, and AI governance.
It took me almost 50 days.
Now I am going to revise everything and share what I learn here on X, so it can hopefully help others who are also learning or preparing for AI Engineering roles.
I am also actively applying for AI related roles now. So along with my revision journey, I will be sharing relevant AI only job opportunities I come across.
If you are also looking for opportunities in AI, ML, or GenAI, feel free to follow along.
From 4.84 to 4.68 in 1.5 months
Chennai, when I refuse tips, this is what I get
I already tip extra if I don't get ride in rapido
Dear rapido are you going to do anything about it and tell me
@rt_Kalle@KiranKS Now ask north Indian to do it
Never seen some thing from them
What's use??.... everyone in world knows 99% of South Indians respect and live in land they go
Do u see telugu people insulted in USA, no. Because we go legally and we respect
@ame_cHiRaG@siriharusha@BHKslams Show 1000 north Indians who adjust to land they settle in south
100% of South Indians learn and embrace.
But u force ur fanatic Hindi and then u insult because we don't celebrate diwali
Uncle ji leave it, ur mother or ur wife will never teach sons to embrace like we do
@ame_cHiRaG@siriharusha@BHKslams Uncle ji forget that u come here and force us to learn Hindi and then insult us
It's not local language, it's called respect and adjust in land u settle....we South Indians have it, our mother taught us
Did ur mother, or ur wife will teach ur son
U force hindi on our throats
@kaizadghadiali@siriharusha@BHKslams But ur asking as to learn Hindi and adjust as per u
Uncle ji, stop it.... south Indian's will learn n respect
U come here, force and insult to learn Hindi and adjust as per u...it's okay uncle u don't remember that u force