Will de Torvy-Ballou

aspiring polymath, in synthesis 🔁🧠✍🏾 | data + ai | podcaster | ✝️

[Will de Torvy-Ballou @willos__]

I've made a 𝑓𝑟𝑒𝑒 special report on how to graft cultural norms into your UX and UI design process.

Upgrade for access to the version with the step-by-step implementation guide from the 'Cultural Considerations in UI Design' link down below.

Reviews and feedback are welcomeI've made a 𝑓𝑟𝑒𝑒 special report on how to graft cultural norms into your UX and UI design process.

Upgrade for access to the version with the step-by-step implementation guide from the 'Cultural Considerations in UI Design' link down below.

Reviews and feedback are welcome.

[Science girl @sciencegirl]

When engineers get bored

[Ram Goel @theramgoel]

Meta be hiring like crazy in BLR

[Brendan Jowett @jowettbrendan]

🚨 BREAKING: Google just launched the most powerful coding agent we’ve ever seen.

It’s called Jules.

It reads your codebase, makes a plan, builds features, writes tests and pushes the PR.

No need to co-pilot. Jules just ships.

Here’s how it works 👇

[Will de Torvy-Ballou @willos__]

“My code from 7 years ago — cringe” by William de Torvy-Ballou https://t.co/bcpvVjfmwX

[Will de Torvy-Ballou @willos__]

@ZubyMusic @ChrisWillx 💯

[Will de Torvy-Ballou @willos__]

v. exciting news! 🔥

[Satya Nadella @satyanadella]

A couple reflections on the quantum computing breakthrough we just announced...

Most of us grew up learning there are three main types of matter that matter: solid, liquid, and gas. Today, that changed.

After a nearly 20 year pursuit, we’ve created an entirely new state of matter, unlocked by a new class of materials, topoconductors, that enable a fundamental leap in computing.

It powers Majorana 1, the first quantum processing unit built on a topological core.

We believe this breakthrough will allow us to create a truly meaningful quantum computer not in decades, as some have predicted, but in years.

The qubits created with topoconductors are faster, more reliable, and smaller.

They are 1/100th of a millimeter, meaning we now have a clear path to a million-qubit processor.

Imagine a chip that can fit in the palm of your hand yet is capable of solving problems that even all the computers on Earth today combined could not!

Sometimes researchers have to work on things for decades to make progress possible.

It takes patience and persistence to have big impact in the world.

And I am glad we get the opportunity to do just that at Microsoft.

This is our focus: When productivity rises, economies grow faster, benefiting every sector and every corner of the globe.

It’s not about hyping tech; it’s about building technology that truly serves the world.

[Aaron Levie @levie]

The physician + AI does meaningfully better than a physician using traditional resources. And this is now with an older AI model. A doctor not using AI in the future will almost be malpractice. h/t @EricTopol

[Subbu Athikunte @athikunte]

After years with #Postman, I'm now testing APIs by chatting with AI - validating endpoints and modifying payloads through conversation. Unlike Postman this can install its own tools and fix things 🤷

Wild to see a core dev tool potentially becoming obsolete. The dev toolkit evolution continues, but this time it's different. Faster. More impactful.

Watch the video.

#AI #DeveloperLife #APITesting

[Will de Torvy-Ballou @willos__]

deepseek-r1’s interpretability is just as refreshing as the outputs but i wonder if that makes an easier target for adversarial attacks by competitors.

[Ole Lehmann @itsolelehmann]

NVIDIA just lost $500B+ in market cap.

Tech stocks are in freefall.

VCs are in panic mode.

All because a $6M Chinese AI startup just achieved what Silicon Valley said was impossible.

Here's why DeepSeek's new model changes everything we thought we knew about AI 🧵:

[DeepSeek @deepseek_ai]

🚀 DeepSeek-R1 is here!

⚡ Performance on par with OpenAI-o1
📖 Fully open-source model & technical report
🏆 MIT licensed: Distill & commercialize freely!

🌐 Website & API are live now! Try DeepThink at https://t.co/v1TFy7LHNy today!

🐋 1/n

[Xiaoyin Qu @quxiaoyin]

1/ 🚀 Excited to introduce https://t.co/iYggmFE718—the world’s first AI engineer for non-coders, backed by @OpenAI Startup Fund! 🎉 @heybossAI
Entrepreneurs, creators, educators—anyone with an idea—can type it in, and our AI builds apps, websites, or games in minutes.
Need changes or features? Your Heyboss AI engineer is available 24/7 to make it perfect.

[Matt Clifford @matthewclifford]

1/ Today the Prime Minister published my AI Opportunities Action Plan for the UK and committed to implement all its recommendations. A quick thread on why this is important, what we need to do now - and how you can help

[Santiago @svpino]

Software Engineering is changing right before our eyes.

Today's software is fundamentally defined as a set of rules implemented through code. This is all we've known for many decades.

The future, however, looks very different.

Modern software combines code, data, and models. This is a huge shift that requires a completely new approach to how we build software.

AI is not killing software engineering; it's transforming it.

I don't want to stand still while the AI/ML revolution sweeps the world under my feet. I've been trying to adapt, learn, and do things differently.

3 recommendations I'm currently following:

1. Learning how to bend computers to our will is—and will continue to be—a fundamental skill. In 2024, this involves learning how to write code aided by AI.

2. The ability to build scalable software solutions is still one of the most valuable skills in the world. Understanding how to go from "it works on my computer" to "a million people are using this" is a competitive advantage very few humans have.

3. Few things are more valuable than our ability to think objectively and critically about novel problems. Don't outsource your basic understanding of how software works to an AI model. Learn the fundamentals.

What else can we do to stay competitive for the next 10 years?

[Will de Torvy-Ballou @willos__]

Not everything that makes you feel good is actually good for you.

[Ilya Sutskever @ilyasut]

I am starting a new company:

[Sam Altman @sama]

and for coding!

[Aravind Srinivas @AravSrinivas]

It is sad that in order to be able to pursue deep hard tech over a long time horizon, (mostly) you need to have had a quicker financial success of some magnitude in your career once before, mostly with something that’s not really hard tech. Musk, Bezos, etc. It makes you assume you cannot do it directly. The world is out there to lecture you that you cannot. “No one is going to invest, so you better make some money to invest in yourself on your own, or have a track record to keep raising money forever…”, and so you resort to doing something that optimizes for quick wins, to be able to do the real thing later. But that just delays the real thing more. This realization makes you respect the career of someone like Jensen a hell lot more. To play the long game in your first and only startup over decades is just painfully hard. And he did. And now has reaping the benefits for that focus.

[Peter H. Diamandis, MD @PeterDiamandis]

AI for the People: The Urgent Case for Open and Decentralized Systems
https://t.co/6f0JIFOz2l

[Will de Torvy-Ballou @willos__]

Your mood affects your thoughts.

So if you work on that bit first,

Your work might be done.