No lo veremos en Europa (lo ha dicho la propia Toyota).
Un GR Corolla venido a más con sólo dos asientos, pensado "por y para" el Nordschleife de Nürburgring.
El aparato, a nivel de ingeniería, es un espectáculo.
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Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.
Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.
Introducing Composer 2.5, our most powerful model yet.
It's more intelligent, better at sustained work on long-running tasks, and more reliable at following complex instructions.
For the next week, we’re doubling the included usage of the model.
Joined a new AI-native company this week and it’s kind of wild how different it feels already.
The laptop arrived, I logged in, and an agent basically took over from there. It set up my dev env, pulled repos, fixed dependency issues, got permissions approved, pointed me at the backlog, linked the architecture docs, and surfaced the Slack debates I actually needed to read before touching production.
When I needed context on something, I asked the agent and it found the exact thread from months ago explaining why a decision was made, who owned it, the related Linear issues, and the PRs connected to it.
I’ve only been here 3 days but it honestly feels like I’ve worked here for a year because the usual friction and scavenger hunt for context just isn’t there anymore.
We should probably stop calling this “onboarding” and rename it to “mounting” because this feels a lot more like mounting a distributed filesystem called “institutional memory” than slowly getting drip-fed context over 6 months.
Been heads down on this for months. Today, we share the first real case study, with a recording of how @PredictableCode works on an actual codebase.
The first beta with real teams is around the corner, and that's the part I've been waiting for. ❤️
Gestionar hasta 15 personas y programar a la vez. La nueva exigencia de Silicon Valley a sus mánagers y por qué tendrá efectos en cascada en el sector.
https://t.co/yDZiVXUtCp
Some of the best engineers I know, from the personal and professional point of view, is doing interviews (I can't hire him)
He got rejected many times because the interviews are looking into particular stuff instead of asking for principles.
I could understand that if you are looking for a super well defined role, but most of these companies are still figuring out things, they need people with the ability to move in between layers of abstraction, eat shit, manage uncertanty.
That means those companies put processes and people without understanding what they are hiring.
Please, fix your interview processes because you are hiring people that trained to pass interviews.
#FlashbackFriday: From this month in 1987, here's my cover of Iron Man #218, featuring my third specialty suit, the Undersea Armor. (co-plot and interior art by me, as well) @Marvel@Iron_Man
Today is a hard day. I shared this note with the @linear team today: We’ve made the difficult decision to increase our workforce. This is not a cost-cutting exercise or a reflection of anyone’s performance. We’re simply reimagining every role for the agentic AI era. We’re hiring. We’re sorry about that.
The most successful European startup journey:
1. Have an idea
2. Get six co-founders, ideally in their 50s
3. Spend four months to set up a legal entity
4. Apply to Y Combinator, get rejected
5. Write angry LinkedIn post about tech bro culture in the US
6. Raise €50k for 75% equity from top European VCs
8. Do external GDPR audit before users sign up
9. Co-founder leaves to do a second PhD
10. Apply for an EU grant
11. Move headquarters to Estonia for e-residency
12. Launch product, get four users
13. Pivot to sustainability consulting
14. Become the AI innovation advisor to EU Parliament
Silicon Valley simply cannot comprehend what we are building here