45bg8833

[まだ面白い @madaomoshiroi]

周りはどんどん居なくなっていくのに、何故か生き残り続ける主人公

[Chitlin Nationalist 🇺🇲 ⚫🔱🔴 @ChitlinPapppi]

Saw this video a couple months ago and ever since then I've began to see the writing on the wall

[Dhanian 🗯️ @e_opore]

If you are SERIOUS about Learning PYTHON in 2026,

Learn here in 1 min ⬇️:

[Aadit Sheth @aaditsh]

Andrej Karpathy shares a 3-step blueprint on how to master anything

[Neo Kim @systemdesignone]

If you want to get ahead of 99% of software engineers, star & bookmark these 9 GitHub repos:

[Ophelia Sinclaire @GayNoumena]

this video makes me genuinely emotional in a way i can’t really describe and ive watched it several times in the last few months alone

[𝚋𝚛𝚘𝚠𝚜𝚎 𝚑𝚘𝚛𝚛𝚘𝚛�� @BrowseHorror]

Guys if youre a fan of those Adult Swim shorts like Too Many Cooks, Unedited Footage of a Bear, or just internet analog horror in general, you NEED to check this out.

What starts out as a monotonous barrage of vintage style commercials shown one after the other, sprouts a deceptively subtle storyline about a Buffet restaurant that may be more than it seems. Its truly a well made analog horror that I would love to see deep dived on by some content creators.

[James @jamescoder12]

🚨NotebookLM + Google Antigravity is one of the most powerful combo available right now—and almost no one is using it.

If you’re not taking advantage of this, you’re missing out on serious leverage.

Here’s how to set it up in 2 minutes + what it can do 👇

[Min Choi @minchoi]

Less than 34 hours ago, Google dropped Gemini Omni.

Minds are blown. And people are already coming up with wild use cases.

10 examples:

[Guillermo Casaus @_guillecasaus]

No necesitas leer 50 PDFs para entender un tema complejo.

Ahora puedes combinar NotebookLM y Claude para resumir, conectar ideas y analizar cientos de páginas mucho más rápido.

Aquí tienes 8 prompts para sacarles todo el partido.

🔖 Guárdalo, lo agradecerás.

[Carnival of Horror @HorrorCarnival]

Mad God (2021) is a dark, surreal stop-motion nightmare brought to life by legendary visual effects artist Phil Tippett, known for his groundbreaking work on Star Wars and Jurassic Park. Meticulously handcrafted over the course of 30 years, the film stands as one of the most ambitious stop-motion projects ever created.

[Ajit kumar @ajitcodes]

These 9 lectures from Stanford University are the BEST for anyone wanting to learn and understand LLMs in depth

Lecture 1 - Transformer: https://t.co/6wl1VXyQxS

Lecture 2 - Transformer-Based Models & Tricks: https://t.co/rFoGOnsOY2

Lecture 3 - Tranformers & Large Language Models: https://t.co/t8H8UebPg0

Lecture 4 - LLM Training: https://t.co/KZxOEL0ezz

Lecture 5 - LLM tuning: https://t.co/PapIUSlToT

Lecture 6 - LLM Reasoning: https://t.co/dr02iTGXHs

Lecture 7 - Agentic LLMs: https://t.co/10EQm5iCBp

Lecture 8 - LLM Evaluation: https://t.co/eOKwCn3LBo

Lecture 9 - Recap & Current Trends: https://t.co/MQAGVGlqiX

Start understanding LLMs in depth from the experts. Go through each step-by-step video

Start understanding LLMs in depth from the experts. Go through each step-by-step video

[ً @pipeshotgun]

Taking the current Animation Twitter discourse as an opportunity to once again recommend these adult animated shows by the recently created studio Green Street Pictures

[Elias @iam_elias1]

It is probably the best Claude Design tutorial under 32 minutes

It is by UI Collective Academy

[lis @lisaknowsai]

GOOGLE REGALÓ TODAS SUS SKILLS OFICIALES Y AHORA TODOS PUEDEN ACCEDER A ELLAS?????

[Vivo @vivoplt]

15 AI related accounts you should follow on Twitter:

1. @karpathy
2. @fchollet
3. @ylecun
4. @AndrewYNg
5 @rasbt
6. @dair_ai
7. @lilianweng
8. @jeremyphoward
9. @simonw
10. @_akhaliq
11. @ID_AA_Carmack
12. @gwern
13. @goodside
14 @drfeifei
15 @demishassabis

Let me know who I missed guys

[yourclouddude @yourclouddude]

The 6-month roadmap to become hireable in tech:

[Dishant Miyani @dishantwt_]

here's the link https://t.co/IVBzFaIOBW

[xIA @xiathis]

El jefe de Claude Code acaba de hacer un podcast que enseña más sobre vibe-coding que muchos cursos de pago.

No es humo: muestran cómo piensan y hacia dónde va la IA antes que nadie.

[Suraj Sharma @suraj_sharma14]

If I had 6 months to become an ML Engineer.

I’d do this.

Stage 1: Python + Data Engineering pandas, numpy, SQL, Parquet/Arrow, API ingestion, data validation.

Stage 2: ML Fundamentals + Statistics linear algebra, probability, bias/variance, supervised/unsupervised, evaluation metrics.

Stage 3: Deep Learning + Frameworks PyTorch, training loops, backprop, CNNs/Transformers basics, optimizers, schedulers.

Stage 4: Feature Engineering + Pipelines feature stores, preprocessing, data versioning, DVC, Airflow/Prefect, dbt.

Stage 5: Experiment Tracking + Tuning MLflow/Weights & Biases, hyperparameter optimization, cross-validation, reproducibility.

Stage 6: MLOps + Model Deployment FastAPI, Docker, model registries, batch vs real-time inference, CI/CD for ML.

Stage 7: Scaling + Cloud Infrastructure AWS/GCP ML stacks, distributed training, GPU orchestration, autoscaling, cost tracking.

Stage 8: Monitoring + Drift Detection data/concept drift, performance metrics, structured logging, alerting, automated retraining.

Stage 9: Model Optimization + Serving quantization, ONNX/TensorRT, pruning, edge deployment, latency/budget tradeoffs.

Stage 10: Testing + Reliability data/model unit tests, shadow deployments, A/B testing, canary releases, rollback strategies.

Stage 11: Open Source + Portfolio ship end-to-end ML systems publicly, write architecture docs, record demos, publish benchmarks.

Stage 12: Apply ML Engineer, MLOps Engineer, AI Infrastructure Engineer, Data Science Engineering roles.

Most people stay stuck watching tutorials.

Builders get hired.