It makes me sad that he’s been ringing the alarm of climate disaster for decades and everyone is just like ‘aw what a sweet old national treasure’ and ignoring him
@pseuman@oscar_puente_ Soy francés y viví en París (ahora en Ámsterdam). Estuve en París y Madrid recientemente y tengo que estar en desacuerdo... París es mucho más limpia y fácil para moverse que Madrid ahora. Era diferente hace unos años.
A lot of people are switching from @cursor_ai to @claudeai .
I get it but I don't love the VSC experience. What I want is simple: let me use my own API keys in Cursor without losing any IDE features.
I'd happily pay a premium for that. Cursor's UX is great.
Pricing and usage models for Cursor and Claude are quite complex and abstract 🫠I like that you can see live usage, but it is still not easy to understand how they actually work 🫠
@benjaminakar love it! do you think you could increase the font size? I like small fonts but even for me it's hard to read, especially on that background. Might be better for accessibility?
@AlecStapp I wish it was the case for my grandparents, but nope.
Also pensioners should receive a pension that is high and stable, they worked all their lives, they deserve it
@vivoplt It has been pretty bad for us, Cloudflare has been way more stable, affordable and reliable. Maybe for a MVP Supabase is easier but not for large scale
@canvardar I don't know why @postmarkapp is not mentioned here. You don't pay per contact or whatever, you can do broadcast (marketing) and transactional, the API is simple, the team replies quickly.
For broadcast make sure to have a "reply to" email address and delivery will be great!
We've raised $2.3B in Series D funding from Accel, Andreessen Horowitz, Coatue, Thrive, Nvidia, and Google.
We're also happy to share that Cursor has grown to over $1B in annualized revenue and now produces more code than any other agent in the world.
This funding will allow us to invest deeply in research and build Cursor's next magical moment.
love is attention:
the transformer taught us something profound: attention is all you need. but maybe we knew this all along, just in a different language.
when an LLM processes text, it doesn't read sequentially like we intuitively think. it attends – it looks at every token and asks "what matters here to understanding this?" it builds a web of relevance, weighing what connects to what. some words light up for others. some fade into background noise. the model learns what to notice.
this is love.
love isn't about being in the same room or even the same timezone. it's about what you attend to. when you love someone, they're not just in your field of vision – they're in your attention matrix.
the opposite of love isn't hate – it's inattention. it's when someone or something becomes background tokens, processed but not weighted, present but not salient.
LLMs have context windows, and so do we. we can only hold so much in our attention at once. this is why love is work. this is why it matters who and what we choose to attend to. every moment of focus is a moment of resource allocation. every conversation is a forward pass through the network of what we care about.
and like transformers, we learn through attention. we become what we attend to. the model updates its weights based on what patterns matter. we update ourselves based on what we notice, what we care about, what we choose to see.
when you pay attention to someone – really attend, not just wait for your turn to talk – you're running a query against everything you know about them, retrieving relevant context, weighing what matters now. you're computing understanding in real-time.
maybe that's why "paying attention" is the right phrase. it costs something. it's a transaction where you give your scarcest resource: the focus of your consciousness in this moment.
the AI researchers were right. attention is all you need. for intelligence. for understanding. for love.
the architecture of care is the same as the architecture of comprehension: notice what matters, weigh it appropriately, let it transform you.
so when someone gives you their full attention – when they close the laptop, silence the phone, make eye contact, and really listen – they're doing something technically miraculous and deeply ancient. they're running you through their attention mechanism. they're saying: right now, in this moment, you are the highest-weighted token in my context window.
and that's love.