Jaylen Brown:
“Sports is a mechanism of control. If people didn’t have sports they would be a lot more disappointed with their role in society. There would be a lot more anger or stress about the injustice of poverty and hunger. Sports is a way to channel our energy into something positive. Without sports who knows what half of these kids would be doing?”
(Via https://t.co/huf8wPxtmA)
I’m in love with this sentence:
“The degree to which a person can grow is directly proportional to the amount of truth he can accept about himself without running away.”
I’ll try and compress 20 years of experience into 30 seconds
Startups have a GREAT FILTER that kills almost everyone. It’s there to weed out the people who aren’t meant to build companies
The good news is it can be beaten - even with little or no capital. Once you beat it, you can do it again. You can choose to stay at the current level or attempt to level up
The level boss is always the same: if you quit, you fail
I can’t stress this enough: almost every skill can be learned. Never stop improving. You can acquire new skills, hire better people, change the product, pivot the strategy, or rethink your assumptions
You’ll hit the wall. Most will quit. But just keep going
If something isn’t working, change course. Change your vector: reassess your hypothesis, measure the results, and keep iterating
Also working hard compounds. The more quality work you can put in, the better your odds. There is no balance
Almost nobody succeeds on their first attempt
If you want it badly enough, you can bend the future in your direction
Just start. And keep pushing
Hard truth: The gym isn't hard. Getting to the gym is hard. The conversation isn't hard. Starting the conversation is hard. The project isn't hard. Opening the document is hard. The activation energy is where 90% of resistance lives. Once you're in motion, the task is easy. The start is everything.
i'm in love with this quote:
"if you're persistent, you'll get it. if you're consistent, you'll keep it. and if you're grateful, you'll attract more of it."
Most LMS vendors sell AI features. What L&D teams actually need is AI architecture.
Before you sign, don't ask "does it have AI." Ask where the AI lives in the stack. The answer is in the connector lines.
It’s crazy how we found a way to purify literal rocks into 99.9999999% pure silicon, then have magicians pull it into crystals, then etch a trillion little runes on it, put some electricity into it, and now it has 130 IQ
and the most common thing to do with this miracle is email
Doom scrolling but make it educational 🤓
Introducing Short Video Overviews in NotebookLM! Turn your most complex sources into 60-second, vertical videos that deep dive into any concept.
Rolling out now to Google AI Ultra and Pro subscribers on mobile & web (free users soon!)
turns out, reading a lot, exercising, loving people without expecting anything back, protecting your alone time, focusing only on improving yourself, and sometimes staying out late with friends who make you laugh until it hurts is a pretty good way to live.
We’re sharing the next major milestone in our non-invasive brain-to-text decoder research: Brain2Qwerty v2.
Building on v1, which was published today in @Nature, Brain2Qwerty v2 is the highest-performing end-to-end pipeline capable of real-time sentence decoding from raw brain signals. It advances beyond character-level performance to decoding words and semantics, enabling accuracy for overall communication.
We believe this research has the potential to make a real difference for the millions of people who suffer from brain lesions or disorders that prevent them from communicating.
🧵👇
Your top performer earned a certification. Their next employer can't verify it without calling you.
Credentic fixes that. Every certificate gets a unique URL and QR code. Verifiable in under 10 seconds, anywhere on the planet.
The FTF Difference.
As engineering, product, design, DS, etc. melt into a new kind of role, I was reflecting on what roles might look like in the future. For example, when I look at the Claude Code team I see what I think is five archetypes:
1. Prototyper: comes up with brand new ideas; churns out many ideas, most of which don't ship
2. Builder: quickly turns a prototype/idea into production-grade product/infra
3. Sweeper: cleans up the UI, simplifies the code and system, unships, optimizes performance
4. Grower: takes a product that has been built and iterates on it to improve Product-Market Fit
5. Maintainer: owns a mature system to make it secure, reliable, fast, and efficient as it scales
Many people span across 2 roles, and sometimes 3 roles. I also notice that these roles are not really tied to job function -- eg. across Anthropic, some designers match category 1, some 2, some 3; same for engineers, PM, DS.
A healthy team needs a mix of these, depending on the product:
- A product that is new and pre-PMF needs people that are strong at 1+2+3
- A product that is growing and has found PMF needs 2+3+4 and some 5
- A product that has strong PMF needs 3+4+5 and some 2
Maybe product roles of the future will look more like this, and less like the domain-specific roles of today?
I’m convinced that the most underrated trait in a romantic partner is that they bring peace into your life. Days are filled with enough chaos and uncertainty. Being able to come home to someone who defaults to emotional consistency, who creates a peace, is massively underrated.
18 years ago today, Jaÿ-Z became the first rapper to headline Glastonbury and trolled Oasis when they said rap had no place there. He came on stage playing their song Wonderwall then flipped it into 99 Problems and destroyed the stage.
this is the weirdest possible demo of a very serious idea:
objects are about to explain themselves.
OpenAI took a normal houseplant and gave it a camera, memory, optional moisture/light sensors, and realtime voice.
so now you can ask the plant how it's doing, and it can answer from its actual environment.
here's how it works:
1. webcam sees the plant
2. ChatGPT analyzes the image
3. optional cheap sensors check soil moisture + light
4. the app saves recent observations
5. realtime voice turns the whole thing into a conversation
so "are you thirsty?" becomes:
it looks at the plant, checks the soil, remembers recent history, and answers in plain english
the plant is a small example but there are infinite use-cases if you think about it