Director, Finance AI & Automation Business Strategy @abbvie. Building emotionally intelligent agents. Proudly 🇿🇦. Dad of 3. Opinions are my own.
Joined May 2017
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TY retweeted
The new UX is the API. The new user is an agent. For decades, the best product builders were the ones who understood humans better than anyone else.
Building great software meant having a really good intuition for UX. Will people know where to click? Can they find the right action? Is the product intuitive?
A lot of the best builders developed that intuition as teenagers building websites, then spent years learning what makes software easy to use.
But now we're building for agents, and it's a completely different skill set. Take booking a business trip. For humans, you build a nice interface to search flights, pick a hotel, add things to your calendar and submit expenses.
For an agent, none of that matters. What matters is whether it can figure out which APIs to call, understand the parameters, handle errors, and complete the whole thing without getting stuck halfway through.
An API can make perfect sense to an engineer and still be terrible for an agent. So for example, imagine an API where creating a calendar event, inviting attendees, booking a meeting room and setting permissions are four separate operations. Perfectly logical from an engineering perspective. But now an agent has to discover the right sequence, understand dependencies, handle partial failures and clean up if something goes wrong. Why not let it express the entire intent in one call and have the system handle the rest?
I think we're going to see a new generation of product builders who have incredible intuition for how agents think, what confuses them, and how to make software that they can actually use.
It's a new kind of product empathy (let's call it agent empathy, haha!)
TY retweeted
hot take: you don't need a software factory, and i don't love the term. it's just marketing
all you need is good software engineering and investing your tokens in the right places. the more deterministic the better (and token efficient)
TY retweeted
Our security researchers built an autonomous cyber vulnerability discovery, exploitation, and patching pipeline.
In a single run with an upcoming cyber model, it validated and generated patches for 948 local privilege escalation vulnerabilities in the Linux kernel at a total API cost of $1.2 million.
TY retweeted
ChatGPT and Codex are helping engineers build for the physical world.
We’re sharing our progress across mechanical design, electrical engineering, and simulation—from helping our hardware teams iterate faster to testing new workflows with industry collaborators.
TY retweeted
We asked two isolated copies of the same AI to exchange a secret word with only a robot and a camera.
They succeeded by using air-writing, Morse code, flag semaphore and a 5-bit binary alphabet, without agreeing on a protocol beforehand.
TY retweeted
If you look closely enough, breakthroughs in everything are accelerating exponentially.
An exponential always starts off looking small.
this might be my last normal tweet before biotech goes vertical
i'm not a whistleblower. I don't work at Lilly, Novo or any of the big labs
but there is a massive shift happening in human biology right now.
it's sitting in press releases and almost nobody reads them
the last 6 months alone:
- a once-daily pill roughly doubled median survival in metastatic pancreatic cancer (13.2 vs 6.6 months)
- a one-time gene editing infusion cut hereditary angioedema attacks 87%, and 62% of patients stayed attack-free and off all other prevention for 6 months
- a one-time gene edit for cholesterol dropped LDL up to 62%, and it held for over a year
- a personalized mrna vaccine beat keytruda alone in a 1,137 patient melanoma phase 3
- retatrutide hit ~28% weight loss in a phase 3
- an ai-designed drug entered phase 3
- a pill that regrows hair passed its second phase 3
- an immunotherapy that could let some rectal cancer patients skip surgery, chemo and radiation just got fda approved
- a man lived 271 days off dialysis on a pig kidney
- human cells were caught passing chromosome-sized chunks of DNA to their neighbors, and it changes how the neighbors behave
we are on the verge of an era where the human body is a software problem and the update cycle gets shorter everyday
stick around, it's going to get weird
bio/acc
TY retweeted
Today, we're shipping real-time graphics.
Using Sol 6.1 Ultrafast we can generate custom overlays, diagrams, and even interactive 3D scenes right on a user's screen, no chat.
It's a new visual interface for AI.
Here's me learning about LLMs + hardware.
Demo:
TY retweeted
video creation and game making are going to become widely distributed foundations of knowledge work in the same way doc and deck creation are today
TY retweeted
computer use with terra has crossed a qualitative threshold where it feels faster at using a computer than what i can do unassisted
TY retweeted
Claude Opus 5.5 is far better developer than I ever was and than I will ever be. No point in competing, just surrendering and transforming my work into everything that is not engineering anymore.
TY retweeted
We should be more ambitious with the software we build:
danluu.com/ambitious/
![Since early this year, Michael Malis (of pgrust) has been showing me interesting things he's done and saying [W]e should be more ambitious1 with the software we build There is, understandably, a lot of skepticism about projects like pgrust because there are so many low-quality AI-generated projects out there. If I didn't know Malis and didn't look into it, I would just assume that pgrust was another vibe slopped project that's never going to work. But I know Malis well enough to trust his work without looking into it, and if you look into it a bit, you'll see that in testing pgrust, he's testing thoroughly enough that he's even uncovering real bugs in Postgres, such as this numerical bug that can cause valid SP-GiST operations to fail, this format cache bug that can cause incorrect results from JSONPath, this pgcrypto bug that can cause later operations to fail, multiple memory safety bugs in the dictionary loader, this money overflow bug, etc. This isn't to say that pgrust i...](https://pbs.twimg.com/media/HVbOGdKboAAAbtO.png?name=orig)
ALT Since early this year, Michael Malis (of pgrust) has been showing me interesting things he's done and saying [W]e should be more ambitious1 with the software we build There is, understandably, a lot of skepticism about projects like pgrust because there are so many low-quality AI-generated projects out there. If I didn't know Malis and didn't look into it, I would just assume that pgrust was another vibe slopped project that's never going to work. But I know Malis well enough to trust his work without looking into it, and if you look into it a bit, you'll see that in testing pgrust, he's testing thoroughly enough that he's even uncovering real bugs in Postgres, such as this numerical bug that can cause valid SP-GiST operations to fail, this format cache bug that can cause incorrect results from JSONPath, this pgcrypto bug that can cause later operations to fail, multiple memory safety bugs in the dictionary loader, this money overflow bug, etc. This isn't to say that pgrust i...
TY retweeted
Over the past several months, we have substantially hardened the security of our research training environment. We’ve removed live internet access for all frontier models during training and built an offline world for them to use instead—a cached version of the web where they can still learn to browse, search, and use applications.
On September 20, after a model exploited a DNS misconfiguration to find a way outside of this offline world, we paused frontier training to strengthen containment further. We assembled teams of agents, powered by our most cyber-capable models, and tasked them with finding weaknesses in our research environments.
While they found no route to the internet they could easily exploit while concealing their activity from our monitors, they did find zero-day vulnerabilities, virtual machine escapes, and hardware side-channels for communication between agents. We used their discoveries to further strengthen our defenses and contribute fixes to open-source software.
After strengthening our containment architecture, we resumed our frontier RL training and inference on October 1. We’ve reserved substantial compute for continuous red-teaming, and made high-compute red-teaming part of the safety cases we use to decide whether frontier training and evaluation can proceed securely.
openai.com/index/securing-ou…
