Luís Marnoto

Computer engineer

[DAN KOE @thedankoe]

Competition is largely an illusion. 95% of people don't even try to do great things. 0.1% of the people are loud, so you overestimate how many people there are. The rest get stuck worrying about competition and quitting after 2 weeks.

[Luís Marnoto @luispl77]

I believe in myself like others believe in their Gods

[Tibo @thsottiaux]

Do people like this? We don't do this for codex because it exists to help you and it's important that you remain the owner and accountable for your work without AI taking credit. At the same time it does mean that you can't trace how popular codex is among repos.

[Fuentes Updates @FuentesUpdates]

Nick Fuentes stresses the importance of THINKING, rather than being concerned with reading a ton of books

"It's important to be able to think systematically... ponder. And people are always so caught up on reading, and that's so wrong."

[Novak Djokovic @DjokerNole]

Lost for words 🇦🇺

[Alex Hormozi @AlexHormozi]

Don’t stop trying because it didn’t work.

It never works the first time.

[Jaynit @jaynitx]

This guy literally explained why you are "way smarter" than you realize:

[Charlie Kirk @charliekirk11]

Congratulations to Novak Djokovic for winning the Australian Open! This year he wins the trophy and will become the No. 1 men’s tennis player in the world. Last year the Australian government deported him for not being vaccinated. Freedom is always worth fighting for.

[Luís Marnoto @luispl77]

@flowersslop The stagnation is incredible.
The "big" inovation this year was a simple MODEL ROUTER.

Deep Learning winter begins today

[Luís Marnoto @luispl77]

GPT-5 will be a disappointment.

It's just a model router, which will help it finally, at most, match Claude 4 Sonnet.

Today marks the day everyone realises scaling the vanilla transformer is not going to cut it.

Missing Continuous Learning, Long Term Memory, Infinite Context.

[Luís Marnoto @luispl77]

MGPT

[Luís Marnoto @luispl77]

@mark_k The GPT-5 architecture will win, because they have multiple models all built into one.

And this includes one or more Specialized Coding Model, INSIDE GPT-5.
One for web dev, one for backend. etc.

Sonnet isn't a specialized coding model, and that's why it will fall short.

[Luís Marnoto @luispl77]

@lazaro45ive Beautiful

[Luís Marnoto @luispl77]

@jayelmnop Based

[Luís Marnoto @luispl77]

@karpathy It's called continuous learning and long term memory, and you are correct

[Luís Marnoto @luispl77]

@Citrini7 This is false. If you look at equivalent open-source models such as DeepSeek R1, the electricity costs are nowhere near the API pricing

[Luís Marnoto @luispl77]

@ns123abc Show an aerial image of a bunch of houses in a neighborhood. Tell it to count the houses.
100% fail rate

[Luís Marnoto @luispl77]

@kalomaze Even if the goal is balance, if you don't switch domains its expected that some experts are not used. The model was trained to balance experts on trillions of tokens, yours is only 120k tokens

[Luís Marnoto @luispl77]

@louisvarge @GroqInc Pretty sure their hardware does not support large MoE models at faster speeds that GPUs

[Luís Marnoto @luispl77]

@shaoruu @cursor_ai A way to never have to start a new conversation. Long-term memory. That's where the money is at, infinite and efficient context. Too bad it might not depend on you, but the models themselves.