Don't spend much time here. Find me on LI or Substack.
✍️ Fractional CMO, Content Marketer
🎤 Host, Authentic Influence
🇦🇺 Sydney
🌏 Visited 28+ countries
Jay Leno says a widow tried to sell him a Ferrari for $350,000, so he helped her turn it into $3,750,000 instead.
“I get enough free stuff like that, that’s right, that’s very nice. You don’t need to start screwing people over.”
“I said, ‘If I can get you close to 4 million for that car, will you bake me some cookies?’ And she said, ‘Why? It’s not worth that much.’ I go, ‘It’s worth that much.’”
“I don’t like it when I hear people tell me a story how they screwed some old guy out of a car. I hate those kind of stories. I like these kind of stories.”
Imagine getting surprised at your wedding with a video of your love story across eras 🥹
It ends with how they actually met.
Insanely cool use case for AI video - the groom's friends made it for him (he's on IG at pure.sagyna).
The engineer who built Claude Code just dropped a 28-minute video on how to write prompts that actually work.
I've seen $300 courses that don't cover what he shows in the first 10 minutes.
CLAUDE.md files, memory shortcuts, parallel sessions, prompting patterns.
Watch it, then read the guide below on the Claude features 99% of users never find.
Human brains have remained the same for 100,000 years. But language has changed what we do with them unrecognizably. We care, we express ourselves, we inherit the revolutions of past humans through language.
Victor Wembanyama (in French) is asked what he is looking to improve on over the summer:
🇫🇷: Victor, after these Finals, what do you want to improve the most this summer? On the court or off the court, what area of improvement have you identified for yourself before next season?
👽: I'm going to work even harder, obviously, to be even more durable and, above all, to keep a fresh mind and maintain control of the game at all times. That's what really stands out about Jalen Brunson, for example. There are too many moments—and it doesn't come from bad intentions—but there are too many moments where I'm passive, where I don't have the control over the game that I'd like to have, and it ends up costing us.
#GoSpursGo #PorVida
🇺🇸I cannot believe what just happened! Unreal! Extremely tough loss. Now time to lick wounds and try again. No alternatives. 😓
🇦🇷No puedo creer el partido que perdimos! Extremadamente doloroso! Ahora a lamerse las heridas y volver a intentarlo. No queda otra. 😓
@OraklioLeo@manuginobili yeah and not resting Wemby when the Spurs have a massive lead, and then he's gassed in the critical part of the game, can't defend properly and misses key free throws...
@manuginobili They needed you to jump in there and kick their asses Manu. When you miss 3 in a row and have a big lead, and you know the opposing team are great at erasing leads - STOP shooting 3-pointers! And why didn't the coach jump in and stop them? Inexcusable self-implosion, Spurs.
You have noticed it. ChatGPT feels dumber than it used to. Your prompts that worked six months ago produce worse results now. The writing sounds flatter. The ideas sound safer. The internet itself feels like it is shrinking. Every article reads the same. Every email sounds the same. Every answer sounds like it was written by the same voice.
You thought it was you. It is not you.
Researchers at Oxford and Cambridge published a paper in Nature proving what is happening. They call it Model Collapse.
Here is the mechanism in one sentence. AI trained on AI-generated data gets dumber every generation until it forgets what real human data looked like.
The internet is filling with AI-generated content. Blog posts. Articles. Reviews. Comments. Social media. AI companies scrape the internet to train the next generation of models. Which means the next generation of AI is being trained on the output of the current generation.
Each cycle loses information. Not randomly. It loses the rarest, most unusual, most creative parts first. The researchers call these the "tails of the distribution." The weird ideas. The unexpected perspectives. The things that made the internet feel human. Those disappear first.
What remains is the average. The safe. The expected. The bland.
Then the next generation trains on that. And loses more. And the next generation trains on that. And loses more. The researchers proved this is not a slow decline. Major degradation happens within just a few iterations. Even when some of the original human data is preserved.
They tested it on large language models. On image generators. On statistical models. The pattern was the same every time. The output converges toward a narrow, flattened version of reality that looks nothing like the original data.
The lead researcher put it plainly. "Large language models are like fire. A useful tool. But one that pollutes the environment."
The pollution is invisible. You cannot see which sentence on the internet was written by a human and which was written by AI. Neither can the AI that is about to train on it. And once the tails are gone, they do not come back. The damage is irreversible.
This is not a prediction anymore. It is a diagnosis.
The internet you grew up on was built by humans writing things no algorithm would have written. Strange, personal, imperfect, alive. That internet is being diluted. One generation of AI at a time. And the models trained on what remains are learning a smaller and smaller version of the world.
Model Collapse is not a technical problem. It is a cultural one. The thing that made the internet worth reading is the thing that disappears first.
Victor Wembanyama when asked in French about what needs to happen to stop being a reactionary team who only finds solutions after running into problems
"Definitely. I completely agree. I think it's due to both our lack of experience and our youth, especially since we're playing against experienced teams. To me, the two best examples are Minnesota and New York.
They understand how fortunate they are to be in the Finals, and they know it's not guaranteed they'll ever get another chance like this. As for us, we're kind of like spoiled kids. For some of us, it's our first season-or one of our first seasons -and we're already in the Finals. We don't fully realize it yet. And to me, the team that appreciates the position we're in the most will be the one that wins."
Via the Redditor u/Jec1027:
https://t.co/ucPalxiHRr
Leila and Alex Hormozi just wrote an internal memo to kill AI slop in their company.
Here's what they said:
———————
"I’m going to be direct: I am SO sick of reading AI slop. Especially in memos.
So I would like to explain how you can immediately tell whether a memo is written by AI or a human.
At the end, I will tell you what you can do instead to write your memos.
THE TOP 5 PHRASES THAT INSTANTLY TELL ME AI WROTE YOUR MEMO:
1. “Delve into” / “Unpack”
Let’s delve into the Q1 results and unpack what this means for our strategy.
Nobody says “delve” in real life. You’d say “look at” or “break down.”
2. “This signals that” / “This underscores”
“This signals a shift in customer behavior and underscores the need for a revised approach.”
That’s AI connecting two ideas for you because it has no actual opinion.
A human would say, “Customers are doing X, so we need to change Y.”
3. “Navigate the complexities of” / “In an ever-changing landscape”
“As we navigate the complexities of scaling in an ever-changing landscape...”
This says absolutely nothing. What complexities? What’s changing?
4. “Synergies” / “Leverage our learnings” / “Holistic approach”
“By leveraging our learnings, we can unlock synergies across teams and take a more holistic approach.”
This is corporate bologna. It sounds profound and means NOTHING.
A human would say: “Here’s what worked, here’s what didn’t, here’s what we’re changing.”
THE TOP 5 THINGS CHATGPT DOES THAT GIVE IT AWAY IMMEDIATELY:
1. The transition words. Every paragraph opens with “Moreover,��� “Furthermore,” “That said,” “Additionally,” or “Importantly,” Read your draft out loud. If you wouldn’t say it, don’t write it.
2. Bold word: colon: explanation built points. Example: Clarity: Ensure your memo is clear and concise. Alignment: Make sure all stakeholders are on the same page. Execution: Focus on actionable next steps.
3. The corporate therapist voice. This is a powerful opportunity to lean into our strengths and foster a culture of accountability.
4. The neat little bow at the end. “Ultimately, the goal is to build a more resilient and agile organization.” If your conclusion could apply to any company on earth, it’s wasted words.
5. The “says everything, means nothing” BS. You read an entire paragraph, it sounds smart, and then realize you can’t summarize what it said.
That’s because AI is pattern-matching language, NOT THINKING.
SO HERE’S WHAT I WANT YOU TO DO INSTEAD:
1. Use voice dictation to write your first draft. Talk through your idea out loud, in your own words, with your OWN voice. That’s your raw material, and it already sounds human because it came from one.
2. Use AI to make it better, not to replace your thinking. Ask: “What’s missing?” “Where is my language unclear?” “Help me tighten this without changing my voice.” “Does my argument flow logically?”
3. Do NOT paste in a topic and ask AI to write the memo for you. Also urants to add: forced negation (“not this but that”), staccato repetitions, and excessive adverbs like “quietly underscores.” All AI slop.
TLDR: The bullets you sent to AI to write your memo are arguably more valuable than the memo. I’d rather get those than the slop."
Stop paying for AI courses.
Some major tech companies are already offering everything for free.
Not YouTube compilations, not $999 courses recorded with a webcam.
Anthropic → https://t.co/BDdghOEHvP
OpenAI → https://t.co/AgET8Na3hM
NVIDIA → https://t.co/N2BYc5jKdF
Google → https://t.co/N9lerMk7aq
Meta → https://t.co/QMBG0tKV26
Microsoft → https://t.co/IGdZ5DloKO
IBM → https://t.co/2mYT0ZpCoD
AWS → https://t.co/TeARPQq9IX
DeepLearning AI → https://t.co/XmqViORM3s
Is this information helpful?
Dylan Harper is mature years beyond his age.
Castle was about to snap, and a tech or ejection changes everything.
For a rookie to have this kind of presence of mind to play peacemaker and protect his teammate like this is insane.
Julian:
"I thought it was over. I ain't gonna lie to you. Getting waived with no warning, no nothing, explanation or anything, it was tough. Big, big shout out to the San Antonio Spurs taking an opportunity to a kid from Brooklyn"