Not too bad a season. Despite making so many mistakes 🌎 OR ~20k (20,397) 🇮🇳 ~1K (1,012) 👹 ~4.5K (4,432 ManUtd) Top of the three mini leagues that matter the most :-) See you next season #FPL Shout out to the amazing #fplcommunity #latepost

Creatively not getting ambushed by FIFA you'd think. Way to go @LEVIS marcom team!

Every manager at least once in life wanted to be like Jose and just worry about the result. Not every one has the balls and the skin and the faith to do so. That’s what make Jose, Jose Mourinho.

🏆 139 years. 0 European Cups. Some things never change 😏 #MUFC

Arsenal created just 0.01(xG) between 45 6’ and 120’

Literally burning tokens 🤓

Have you seen England’s final squad for the World Cup though?

Think it’d take some time to graduate from labs to the product suite. It ask too much berifying questions and nudges. Verification is the boggiest token guzzler in cd right now. I think it was carrying the published (default) design system for me even if I do not name

My man! Know shit-teta ball when he sees one.

This is great. Another player who played for them on loan and had a stellar season is now priced £50mil

And then Carlo said Bayern are so dead. I need you at Everton.

Bragging about how much software you’re shipping with AI is like holding down the shutter button and bragging about how many photos you took.

Token costs will become a dominant topic in enterprises going forward with AI. Just got out of a dinner with many Fortune 500 enterprise CIOs and this was the most heated topic. A mix of strategies are being employed, but basically no one feels like they have the right solution. A mix of: figuring out how to prioritize workloads to different models, giving out access to better or worse agents by user type, setting different spend caps by team, having teams justify AI by their use-case, and some just having unfettered access. Everyone is trying to figure out a semi/predictable model right now in a world where the underlying tech and cost models are constantly evolving.

A dinosaur 🦖 in the making. You’re an engineer. Recently joined an IT company with a ₹4–5 lakh CTC. After one year, you take a bike loan and start paying a ₹9,000 EMI. Another ₹3,000 goes into online food orders from Swiggy and Zomato. Most evenings disappear into YouTube, JioHotstar, scrolling, and endless consumption. Now look at the other side. The maid working in your house earns ₹4,000 from each home and works in 5 houses — ₹20,000 a month. Her son works as a Swiggy delivery partner earning another ₹20,000. Her husband drives an auto-rickshaw and brings home around ₹30,000. No fancy degrees. No education loan burden. No lifestyle EMI pressure. Your household income: ₹30,000. Their household income: ₹70,000. But leave the numbers aside for a moment. Every rupee you spend as a consumer becomes someone else’s income. Your food delivery pays the delivery boy. Your mobile recharge enriches telecom giants. Your streaming subscriptions feed billion-dollar businesses. One class creates wealth, takes risks, builds assets, and compounds value. Another class rises steadily through collective family effort and hard work. And you? Trapped in consumption, lifestyle inflation, and the illusion of status. Spending to impress, while slowly losing financial strength, relevance, and freedom.

First day of the season. Just as a reminder.

It’s kind of crazy that we used to write code for free. You just opened an text editor and typed in some words completely at no cost Same with designs. Every rectangle and shape was free

Goalscorer. Assist provider. Award winner. Presenting @TheOfficialFWA Footballer of the Year for 2025/26: @B_Fernandes8! 🏆❤️

Tough day for folks (DM me if I can help!) but if I found myself suddenly laid off from a company that cited AI as a cause, this is what I’d do: - download codex and Claude/code - say: “this was my job and how I spent my day, how can you help me automate it w skills” - push a dozen of those skills to GitHub - open up Claude design and make a portfolio site, with an “agent” per skill explaining how you built it, what tools it interacts with, etc.” give to lovable or v0 or whatever to publish - post that site and link to GitHub on LinkedIn - search “ai for <job>” and try all the new startups, form an opinion, message their founders - try something scary like openclaw, form an opinion - take a course in tactical AI in your field - build, share, build The gap in AI adoption is getting bigger. Start reskilling now while it’s early. The time is now.

Fancode I want my money back

The obvious path for designers in the AI age is to move closer to code. But the more valuable path may be upstream: closer to the customer, the business, and the problem. If everyone can prompt agents to code, the scarce skill becomes knowing why, what, and how to build.

Slowest Formula 2 time in qualyfing: 1:41.157 Fastest Aston Martin time in the sprint qualy: 1:41.311