Braid Systems

[Andrew Ng @AndrewYNg]

The most important skills in Building and Deploying AI Applications. https://t.co/IyWIKLIzeM

[s3nh @s3nhxx]

They dont know about the GPU shortage and qwen3.8 here

[Hades @0xHvdes]

https://t.co/26ibXrwogg

[blueface @bluefacebleedem]

If you lonely start a business so you can have a some company

[Darius Dan @dariusdan]

I would definitely take this car for a ride anytime.😁

[Movez @0xMovez]

Anthropic engineer:

“80% of our engineers are using self‑improving loops. Now everyone is building agentic Graphs.

In 4-6 months, we’ll all be building graphs to orchestrate self‑improving agents. No more prompting.”

in a 20‑minute talk, Anthropic engineer explains how to build self‑improving agentic systems from scratch.

Worth more than a $500 agentic course.

Watch this video, then read the article below on how to become a graph architect.

[Lenny Rachitsky @lennysan]

My biggest takeaways from @Netflix's Chief Product and Technology Officer Elizabeth Stone:

1. Elizabeth believes that “systems thinking” is becoming the most important skill in the AI era. In engineering and product, this means people who can see across business domains and build the common capabilities that let many teams move quickly. In design, it means experience designers who create templates and design systems so that non-designers can ship work that stays coherent and on-brand. The underlying driver is velocity: when more people are doing more types of work at higher speed, you need to be good at building common scaffolding.

2. Systems thinking is learnable: zoom out one level from your specific problem. Given a task, step back one click—what bigger problem does this serve the business, will it scale across the product surface areas, should it become a platform capability? The companion habit: do your job in a way that helps your manager do theirs. This will force you to think about how all the pieces fit together.

3. Expect a storming phase before a forming phase. The role confusion people feel right now (“What is my job anymore?”) is the predictable middle of any transformative technology. Elizabeth’s advice: focus on high-quality source-of-truth data, guardrails on what ships, and constant internal reinforcement that humans own what they create.

4. The top AI labs converged on Netflix’s culture. High agency, high talent density, top-of-market pay, bottom-up thinking, fast experiments—the traits Lenny hears constantly from AI labs were in Netflix’s early culture deck. Elizabeth’s explanation: excellence comes from hiring exceptional people, trusting them to do great work, and holding them accountable.

5. Netflix’s culture is centered around building “excellence as an operating system.” High talent density, radical transparency, context not control, and the keeper’s test. These work together to create an environment of trust and accountability, without bureaucracy. But it’s also uncomfortable. It requires tolerating people making decisions you’d make differently, resisting the reflex to add process when things go wrong, and letting people carry the weight of their own choices. Elizabeth describes the hardest part as “being comfortable in that discomfort.”

6. The keeper’s test is as much about recognizing great people as it is about removing the wrong ones. The test—“If this person told me they were leaving, would I fight to keep them?”—is often cited in its difficult form: the moment you realize someone isn’t the right fit. But Elizabeth uses it predominantly as an entry point for honest performance conversations that are deeply positive. Most of the time the answer is “I would fight so hard to keep you,” which creates the opening to articulate strengths, discuss impact, and name what’s working. Good feedback hygiene needs a forcing function; the keeper’s test provides one.

7. Specialization is trending down—adaptable generalists are trending up. We’re shifting away from narrow stack-layer specialists (pure frontend, pure backend) toward people who can navigate fluidly across layers. The same logic applies to business domain knowledge: the mindset of “I’m a payments expert, full stop” is less valuable than “I know payments well enough and I’m willing to imagine what the future version of this looks like.” The meta-skill is learning to learn, not locking into a single lane.

8. Netflix’s approach to AI fluency is a universal principle, not a level-specific expectation. Rather than rewriting career ladders to specify what AI competence looks like at each level, Netflix added a single aspiration across all roles and levels: AI fluency. What fluency means varies by function and seniority, but the non-negotiable minimum is the same everywhere—an open-minded, experimental mindset, genuine curiosity, and comfort with ambiguity.

[Anduril Industries @anduriltech]

The modern battlefield is a robotic kill zone.

Attack helicopters and their crews face more sophisticated threats than ever before.

In this new era of maneuver warfare, we need eyes for what’s ahead and a shield for what we can’t afford to lose.

Thunder is a Group 5 autonomous attack rotorcraft, equipped with the payload capacity, range and speed required to deliver overwhelming effects to the deepest, most heavily-defended parts of the battlefield.

A first of its kind for attack aviation. A thunderous step forward for maneuver dominance.

[Lockheed Martin @LockheedMartin]

The MORFIUS™ X-Rotor is a portable, cost‑effective counter‑drone system that can neutralize up to 50 enemy drones in a single mission. Designed for rapid reuse and rapid deployment.

[Braid Systems @braidsystems]

Every story becomes part of a living historical record. New events are linked to earlier reporting, policy decisions, reversals, institutions, political actors and unresolved questions, using sources dating back over 20 years, to create a continuously updated model.

Take a look!

[Braid Systems @braidsystems]

Our first product, Lattice: a Nigerian news website that connects current events to their historical context and tracks how narratives evolve over time.

Now in beta on https://t.co/kRriEcX8Ta

[Braid Systems @braidsystems]

Lattice ingests reporting from Nigeria’s major newsrooms and social media, removes filler, entertainment, opinion, and partisan framing, then reconstructs each story as a concise sequence of material developments.