SPANISH NEVER DIE 😤🇪🇸
After saving match points in the quarters, @carlosalcaraz defeats Shelton to secure a first-ever #RolexParisMasters title!
🤖 Made with AI
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The poor are addicted to entertainment.
The ambitious are addicted to information.
The rich are addicted to execution.
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We Muslims are celebrating when Muslims win elections in the United States and other Western countries. And rightly so.
The West has given us freedom, accepted us, allowed us to practise our religion, and even given Muslims the opportunity to hold important positions in government.
But let me ask a simple question:
Can Christians or other non-Muslims enjoy the same opportunities in countries governed by Sharia?
In some of these countries, we struggle to tolerate their houses of worship. We don't even allow them to openly preach their Gospel, let alone imagine giving them equal opportunities to participate in government.
Yet we celebrate religious freedom when it benefits us in the West.
Religious freedom cannot be something we demand for ourselves but deny others.
If we want the West to respect our rights, we must also be willing to respect the rights of others.
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Remember all the promises about AI? Almost every one of them was a lie. Here are the 11 biggest:
1. AI will create solo billionaire entrepreneurs. Lie. The smarter the models get, the less a product is worth, no matter how good the marketing is. Software is gradually becoming as ordinary as a cup of coffee from a coffee shop. And coffee shop owners don't become billionaires either. To get rich, you have to build something technically complex and unique. But AI models have strict filters that won't let you do any of that
2. People will make major scientific discoveries thanks to AI. Lie. AI labs will make scientific discoveries. For ordinary people, any serious scientific research is blocked by strict filters. Try discussing genetic engineering with Claude and you'll get your account banned right away
3. Engineers and programmers will be in higher demand as AI develops, because someone has to maintain it all. Lie. In two years, a software engineer will be on the same level as a barista selling coffee. The smarter the models get, the fewer people are needed to maintain systems. And this applies to more than just programmers
4. Thanks to AI, people will work less and rest more. Lie. If your employer used to expect five tasks a day from you, now they'll expect fifty. AI won't give you free time. It'll just raise the minimum bar for your productivity, especially when a large staff is no longer needed
5. AI will reduce economic inequality. Lie. The most powerful models require massive computing resources, capital, and infrastructure. The more important intelligence becomes to the economy, the more power goes to the handful of companies that control its production and distribution. We were promised democratization, and instead we got the groundwork for a new tech oligopoly
6. AI will let small companies compete with corporations. Lie. If one person with AI can build a product in a week, a corporation with a thousand employees and the same AI can build a thousand such products
7. AI will make us smarter. Lie. When people stop writing, analyzing, coding, and solving problems on their own, they risk gradually losing those skills. We're building the most powerful intellectual tool in history while gaining the option to completely stop training our own intelligence
8. AI will make technology accessible to everyone. Lie. You won't be given access to technology, but to rented intelligence. With limits, censorship, subscriptions, and rules that can change tomorrow. You control nothing
9. AI will give everyone a perfect education. Lie. We're already seeing serious degradation of human intelligence, of the education system, and of the need for a college degree. And nobody has yet figured out what to do with the hundreds of millions of students worldwide who, two years from now, will graduate with degrees nobody needs anymore. Intelligence has become free. Education is no longer needed
10. AI will kill advertising and pushy marketing. Lie. Advertisers used to buy a banner to influence your choice. Now they'll be able to pay your personal AI assistant, the one you trust more than your own wife. Advertising won't disappear. It'll become your best friend
11. AI will rid humanity of bureaucracy. Lie. One AI will draft the documents, a second will check them, a third will find violations, and a fourth will write appeals. Bureaucracy will finally be able to grow endlessly, without needing people at all
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Change is possible,
Let us flip the control of our country from this corrupt regime to leaders who care about the welfare of the Kenyan people.
Leaders committed to ending corruption and theft of public money.
Leaders committed to bringing down the cost of living.
It is possible.
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running a company nowadays feels kinda dystopian
my team is 50+ people in 12 countries, but i talk to my agents more than my human teammates
- voice note to grokbot
- mattpocock/skills /grill-me so the agent interrogates the idea before anything gets built
- spec drops into linear through the linear mcp
- exa + firecrawl agent reads every competitor site, pricing page and changelog
- ideabrowser.com to find ideas and trends
- apify pulls g2, reddit and app store reviews
- prompt: "find the 10 complaints that show up most and quote the users"
- context7 so the agent reads the latest docs before it touches any api
the design
- claude code + paper mcp
- 4 versions of every screen before a single line of code
- pick pieces from 2, it merges them. diverge then converge
- frontend-design skill from anthropic/skills + our own design system skill
- cleanshot screenshots of any ui i like go straight in with "make it feel like this"
the build
- pingdotgg/t3code as the control surface for every agent, from my phone too
- stablyai/orca runs a fleet of agents in parallel, each in its own git worktree
- graphify maps the whole codebase into a knowledge graph so agents navigate instead of guess
- headroom compresses tool outputs before they hit the model, so tokens go 20-95% further
- lsp plugins so the agent sees types and errors like an ide does
- security guidance hook flags risky edits before they land
- supabase mcp for the database, stripe for billing
- github mcp opens the pr, vercel spins up a preview
- loops run overnight, i check what shipped over coffee
the user testing
- lightpanda as the headless browser, way lighter than chromium so you can run hundreds at once
- agents click every flow on the preview like a first-time user
- one persona is impatient, one is confused, one is on a phone
- playwright + chrome devtools mcp for regression tests
the bugs
- sentry mcp catches the error
- agent reads the stack trace and opens a fix pr in under 10 minutes
- human just approves
the data
- posthog mcp cron at 7am on yesterday's funnel
- any step that drops more than 10%, the agent watches 20 session replays and tells me why
- stripe mcp pulls every cancellation reason into one doc every monday
the agents' tools
- orgo so every agent gets its own computer
- agentmail so every agent gets its own inbox
- agentphone so i can call them from the car
- composio connect-apps for every other connector
- akitaonrails/ai-memory, a git-backed markdown wiki so they remember what we decided last week
the skills
- wshobson/agents so skills work across claude code, codex and opencode
- my writing voice
- our design system
- how we write specs
- skill creator so the agents write new skills themselves
some helpful tricks
- one agent per platform. the x agent never touches email
- cheap model for triage, opus for anything that ships
- every output gets scored 1-10 by an llm judge. under 8 goes back
- every agent writes a 5-line log at night so i can read the whole company in 2 minutes
- every agent mistake becomes a new skill, so it only happens once
the team
- humans get version 5, not my voice note which they are happy about lol
- their job is creative feedback, relationships and telling the agents what they got wrong
a human pm reviews the funnel once a week. this reviews it every morning
running a company is now voice notes and inference
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Transparency, Accoubtability, sustainable development. The #LindaMwananchiMovement promise is to make all project contracts available to the public in conformity with these three Constitutional Values. We all know why the Ruto regime hides these agreements. From Bomas to Talanta to Rironi highway to Lamu refinery, we are being robbed blind.
#LindaKatiba
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Fellow Kenyans, our economic problem is corruption and wastage.
Billions of hard-earned tax-payers money stolen in broad-daylight.
Fellow Kenyans, you know me well.
When I say my government will have zero tolerance to corruption. I mean it.
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Kenyans are supporting the payment of 723M to Bayern and Ajax and not this schools.
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I am actually sick and tired of non-Kenyans on this platform asking why Kenyans “complain” about that man.
Either you don’t do your research (derogatory), or you’re just plain dull.
People ACTUALLY DIED. Mind your country’s business.
WANTAM 🤷🏾♀️
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🚨 BREAKING NEWS: State House announces major breakthrough in tackling Kenya’s cost-of-living crisis.
Bayern Munich will play Ajax in a new stadium.
Citizens are advised to eat the circus. Bread will be provided at a later date.
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Imagine your kids are starving with no clothes, and as a father you buy a 65-inch TV so they can watch Cocomelon in HD.
That's exactly what this government is doing.
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I have been looking at 2 kings 19,where King Hezekiah received a letter from the king of Assyria. It was full of threats, fear, and intimidation. Everything around him suggested that defeat was certain.
But Hezekiah did something many of us forget to do.
The Bible says,
"Hezekiah received the letter from the messengers and read it. Then he went up to the temple of the Lord and spread it out before the Lord." 2 Kings 19:14
He did not argue with the letter. He did not let fear make the decision. He took the matter straight to God.
And God answered!
He sent a word through the prophet Isaiah, promising to defend Jerusalem. That very night, the angel of the Lord struck down 185,000 Assyrian soldiers. The same king who had threatened Hezekiah went back home in shame, and his reign ended in defeat. God fought the battle that Hezekiah could never have won on his own.
Tonight, take your letter to the temple.
Spread before God the report that has stolen your peace. The rejection. The unpaid bills. The doctor's report. The family battle. The delay. The burden you have carried in silence.
Do not end this day holding what God is waiting to handle.
Your victory may not begin with a strategy. It may begin with surrender.
The letter is not the final word. Heaven is.
The battle changed the moment Hezekiah entered the temple. Yours can change tonight.
May the God who answered Hezekiah answer you before the sun rises.
Declare it in faith:
Heaven has the final word over my life!
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Fellow Kenyans, as we continue pushing for a transparent electoral process, please do your part. @Reforms_Ke
Register to vote #Tukokadi
2M young Kenyans between 18 and 24 are not registered voters. Tomorrow we are having a #Tukoakadi mass voter registration at Anniversary Towers from 8:00 AM. Share this video with them. Help me repost/share/quote. Let's mobilise.
Iterate.. retweeted
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
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No functioning streetlights in sight, start there
Night safety compliance checks within Nairobi City County. Drive responsibly.
#FikaSalama #MsimuBilaAjali #UsalamaBarabarani
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Experian, a $35 billion business with roots dating back to 1826, is surprisingly AI-native.
Its new Chief AI Officer, Vijay Mehta, broke down the credit bureau’s end-to-end AI strategy.
Complete list of notes...
Big takeaways:
• Experian is well past proof of concept, with AI capabilities running in production throughout the company.
• The next stage is what Mehta calls "reimagination." Redesigning how work gets done through delegation to agents vs. prompting chat bots.
• Adoption is close to universal. 85% of employees actively use the company's AI tools, 88% of developers use coding assistants, and employees built more than 6,000 custom GPTs by the first half of fiscal 2026.
• They're seeing real ROI. It's measured in time savings, time to value, quality, velocity and traditional before and after financial metrics, not in adoption or token use.
How they built the foundation:
• Within months of ChatGPT's launch, they trained thousands of employees and put AI policies and guardrails in place.
• AI traffic was routed through a control plane that gives them observability, monitoring and security.
• They wrote a GenAI risk framework and built the Experian GenAI Platform, an internal system that lets employees build internal-facing & and customer-facing apps, while accessing company data securely.
• They rolled out a coding assistant to their large developer base and built their own Experian GPT into products like a digital financial assistant and their Ascend platform.
• They created a GenAI Center of Expertise, which now sits under Mehta's AI office.
• Since then, AI has spread across software development, analytics and business operations.
AI inside the employee experience:
• MyCareer platform recommends learning and career moves and helps managers spot skills gaps.
• Nadia, an internal AI coach, helps employees set goals, build development plans and prepare for performance reviews.
• Nadia also gives leaders personalized coaching and 360-degree feedback.
On models and cost:
• "Not everybody needs the most advanced frontier model. Most workloads can be done with a free or very low-cost model."
• He compares reaching for a frontier model by default to using a sledgehammer on a job that needs a much smaller tool.
• They run a mix of open-weight models adapted to their own environment and frontier models accessed through AWS Bedrock.
• The control plane routes each workload to a model based on the task, language, region and regulatory requirements.
On agent safety:
• Guardrails are designed into the architecture from the beginning instead of being added later.
• Their Agent Operating System runs on that control plane, so it can sandbox, monitor and stop an agent process when necessary. "The ability to kill a process, the ability to kill a process, I will repeat that, we've got all of that built in."
• Their risk profile differs from the frontier labs' because their systems work over a defined body of financial and identity data, without broad access to the internet. "We start with our corpus of data and we put controls around that. And we know exactly how the data is moving."
What the CAIO role actually is:
• Experian is a big company split into many business units. His job is one common AI strategy and direction: "to make sure that we are all marching in the same direction."
• He accelerates the AI agenda both internally and externally.
• Risk, security, compliance and partner choices all come together in the AI office.
AI as the new middleman:
• Consumers increasingly start their financial journey inside an AI assistant instead of going to Experian or a bank, so Experian is meeting them there.
• It's the first personal finance app integrated with Google's Gemini. US consumers who connect their Experian accounts can ask Gemini about their FICO credit rating and what's affecting it.
• Inside ChatGPT it has launched personal loan shopping, credit card shopping and an insurance marketplace.
• On the enterprise side, ServiceNow is the first integration partner for its Agent Operating System. Under a multiyear partnership, ServiceNow agents tap Experian's Ascend data and decisioning from inside enterprise workflows.
• It also launched Agent Trust, which verifies that an AI agent is actually connected to the consumer it claims to represent.
• Could agents eventually skip Experian and get the data somewhere else? He says they can't reproduce it. Decades of longitudinal financial and identity data, plus its provenance and regulatory standing, are what matter when the output drives consequential decisions. "In order to be able to make a decision, you've got to have that trusted data source."
His advice if you're early:
• Train employees.
• Set guardrails before deployment. "So much of safety and responsibility comes from the person interacting with the system."
• Route AI traffic through a controlled gateway where usage can be observed and policies enforced.
Which AI leader should I learn from next?






























