Alice W

Tech enthusiast, globe trotter, mom, foodie

[Alice W @alicesw]

OMG this is the unlock for the masses

[Claude @claudeai]

New in Claude Cowork: teach Claude a skill.

Record your screen while you do a task, talk through it as you go, and Claude turns it into a skill it can run again. Find it under Record a skill in the + menu of the Claude desktop app.

Available on Pro, Max, and Team plans.

[Alice W @alicesw]

@posthog Love this article so much! I’ve also experienced the magic of the onboarding wizard, I couldn’t believe it, thought for sure there were more steps to be done!

[Alice W @alicesw]

Use this

[Alice W @alicesw]

What a beautiful goal by Ivory Coast vs. Norway! So much skill on display...

[Alice W @alicesw]

@JJEnglert The most honest and useful write up so far on Fable 5! Thanks for sharing, JJ!

[Alice W @alicesw]

@clairevo Omg I need this for my son - could you please share if possible? What voice model are you using?

[Alice W @alicesw]

@teddy_riker Just brilliant

[Alice W @alicesw]

@buchan_sm So awesome!

[Alice W @alicesw]

@gregisenberg Oh finally I don’t have to keep the lid up

[Alice W @alicesw]

@clairevo You’re the best

[Alice W @alicesw]

@zarazhangrui I like this take

[Seb Goddijn @sebgoddijn]

https://t.co/rezmUVksXl

[Nikunj Kothari @nikunj]

https://t.co/vXJVfChB7z

[Alice W @alicesw]

@cursor_ai just blew my mind with its new cloud agents - it set up the coding environment, tested my app, recorded itself doing it, and embedded the video in the chat thread for me to watch it. All on my phone. Insane…

[Andrej Karpathy @karpathy]

Wow, this tweet went very viral!

I wanted share a possibly slightly improved version of the tweet in an "idea file". The idea of the idea file is that in this era of LLM agents, there is less of a point/need of sharing the specific code/app, you just share the idea, then the other person's agent customizes & builds it for your specific needs.

So here's the idea in a gist format: https://t.co/NlAfEJjtJV

You can give this to your agent and it can build you your own LLM wiki and guide you on how to use it etc. It's intentionally kept a little bit abstract/vague because there are so many directions to take this in. And ofc, people can adjust the idea or contribute their own in the Discussion which is cool.

[Alice W @alicesw]

💪

[Fuli Luo @_LuoFuli]

MiMo-V2-Pro & Omni & TTS is out. Our first full-stack model family built truly for the Agent era.

I call this a quiet ambush — not because we planned it, but because the shift from Chat to Agent paradigm happened so fast, even we barely believed it. Somewhere in between was a process that was thrilling, painful, and fascinating all at once.

The 1T base model started training months ago. The original goal was long-context reasoning efficiency. Hybrid Attention carries real innovation, without overreaching — and it turns out to be exactly the right foundation for the Agent era. 1M context window. MTP inference for ultra-low latency and cost. These architectural decisions weren't trendy. They were a structural advantage we built before we needed it.

What changed everything was experiencing a complex agentic scaffold — what I'd call orchestrated Context — for the first time. I was shocked on day one. I tried to convince the team to use it. That didn't work. So I gave a hard mandate: anyone on MiMo Team with fewer than 100 conversations tomorrow can quit. It worked. Once the team's imagination was ignited by what agentic systems could do, that imagination converted directly into research velocity.

People ask why we move so fast. I saw it firsthand building DeepSeek R1. My honest summary:

— Backbone and Infra research has long cycles. You need strategic conviction a year before it pays off.
— Posttrain agility is a different muscle: product intuition driving evaluation, iteration cycles compressed, paradigm shifts caught early.
— And the constant: curiosity, sharp technical instinct, decisive execution, full commitment — and something that's easy to underestimate: a genuine love for the world you're building for.

We will open-source — when the models are stable enough to deserve it.

From Beijing, very late, not quite awake.

[Alice W @alicesw]

@_LuoFuli Congrats!!

[Aaron Levie @levie]

Without getting into the specific numbers, this underlying concept and trend is going to be very real. For any worker who is able to wield AI agents effectively in an organization, their compute budgets are just going to monotonically go up over time.

This will of course start in engineering, where we already know developers can run multiple agents in parallel, or have projects going over night. But this eventually hit the rest of knowledge work as well. Lawyers that can create and review more drafts, marketed that can build more campaigns and test more ideals in parallel, sales reps that can reach out to more customers and process more leads.

Many of these activities will essentially be token-dependent in how much work a single person can do. These aren’t chatbot workflows answering a simple question, but agents that are running and processing through incredible amounts of data at scale, and generating all new forms of information.

Companies will have to figure out how they budget for this, and it likely won’t be an IT budget item over time, but ultimately owned and allocated by the business. Maybe the CFO is ultimately the head of AI :-).

[Alice W @alicesw]

@lennysan Ok I’m just gonna go open up my speakaeasy now 🍸

[Alice W @alicesw]

These are so good!

[claire vo 🖤 @clairevo]

Anthropic just needed a tiny touch of unhinged, and they nailed it here.

10/10