Pero esto que es?!?!?!?!?
HASTA LOS NIรOS AL REDEDOR DEL MUNDO SE EMPIEZAN A BURLAR DE ARGENTINA, MESSI Y FIFA.
Bravo ๐๐ผ @FIFAcom@FIFAWorldCup habรฉis logrado convertir una competiciรณn en una burla, un meme.
A Argentina y Messi ya ni te digo..
๐จ Argentina in their last 13 matches:
๐ธ๐ฆ Saudi Arabia: Penalty awarded
๐ฒ๐ฝ Mexico: โ
๐ต๐ฑ Poland: Penalty awarded
๐ฆ๐บ Australia: โ
๐ณ๐ฑ Netherlands: Penalty awarded, red card avoided, and opponent sent off
๐ญ๐ท Croatia: Penalty awarded
๐ซ๐ท France: Penalty awarded and an irregular goal
๐ฉ๐ฟ Algeria: Messi spared a red card
๐ฆ๐น Austria: Penalty awarded
๐ฏ๐ด Jordan: Penalty awarded
๐จ๐ป Cape Verde: Irregular goal
๐ช๐ฌ Egypt: Penalty awarded, opponent's goal disallowed, offside goal allowed, and penalty not awarded to the opponent
๐จ๐ญ Switzerland: Opponent sent off
Argentina keep getting favorable call after favorable call. ๐ฆ๐ท๐ค
Bill Gates bet $500 million on Tesla dying - then texted Elon Musk asking him to donate to his climate charity. Musk leaked the receipts and told him to get lost.
"do you still have a half billion dollar short position against Tesla?"
Gates: "sorry to say I haven't closed it out. I would like to discuss philanthropy possibilities."
"sorry, but I cannot take your philanthropy on climate change seriously when you have a massive short position against Tesla - the company doing the most to solve climate change"
a short pays out most only if the company goes bankrupt. the world's biggest climate philanthropist was betting on the death of the biggest EV maker on earth.
"once he heard I'd shorted the stock, he was super mean to me. but he's super mean to so many people, so you can't take it too personally" - Gates
he never closed it. the $500 million bet became a reported $1.5โ2 billion loss as Tesla ran 19x.
Musk's reply to the leak was a meme of Gates captioned "in case u need to lose a boner fast.
"if Gates hasn't fully closed out the crazy short position he has held against Tesla for ~8 years, he had better do so soon"
two of the richest men alive, a half-billion-dollar grudge, leaked private texts, and a $2 billion hole โ
โ๏ธ Anthropic tried to charge a Korean user who was on the free plan with zero API usage $16.6 million. A day earlier, the same invoice was $1.67 million, so it grew roughly 10x overnight.
The user says he suspected phishing at first, then found the sender and payment link were Anthropic's official domain. His bank declined the charge attempts for exceeding the card's per-transaction limit...
Last month auditing startup Vaudit told it found about $1.7 million in overcharges across $34 million in AI invoices, mostly tied to Claude Code, and after months of GitHub reports about contradictory Anthropic billing emails.
Millions of parents are sitting out Trump Accounts because of one misconception.
"It's only for newborns."
Wrong. Any child under 18 qualifies. Contributions open July 4th. The portal opens July 5th.
Here's everything you need to know before the window opens: โ
Meta's Chief AI Officer:
"People will have one, maybe two agents they rely on for everything.
More and more of your personal life and work."
In a few years "do you have an agent" will sound like "do you have an email address."
The clearest 20 minutes you'll find on where AI agents are headed.
Watch it, then read the guide on how to create your own AI agent step by step below.
MIT just quietly dropped a free AI curriculum that puts $50,000 university courses to shame.
12 books.
Zero tuition.
From the same institution that produced the people building the models everyone is talking about.
FOUNDATIONS
1. Foundations of Machine Learning โ https://t.co/Un6UbjJ3Xo
2. Understanding Deep Learning โ https://t.co/UQxZmyESdn
3. Machine Learning Systems โ https://t.co/YAgrLVGAXt
ADVANCED TECHNIQUES
4. Algorithms for ML โ https://t.co/YlBk59o8Hp
5. Deep Learning โ https://t.co/KMO1uWPyk1
REINFORCEMENT LEARNING
6. RL Basics (Sutton & Barto) โ https://t.co/sOZlDXzu41
7. Distributional RL โ https://t.co/uOkviYiAq7
8. Multi-Agent Systems โ https://t.co/Dx9caJVx1d
9. Long Game AI โ https://t.co/K9Qm2TjAQ6
ETHICS & PROBABILITY
10. Fairness in ML โ https://t.co/MgkLdRvicO
11. Probabilistic ML Part 1 โ https://t.co/Zz33gQi1vG
12. Probabilistic ML Part 2 โ https://t.co/qBe776EjCg
This is a complete MIT-level AI education.
Not a YouTube playlist.
Not a Twitter thread full of fluff.
Textbooks written by the researchers who built the field.
The people who actually study this will not just understand AI better than their peers.
They will understand it better than most people currently getting paid to work in it.
Most people will bookmark this and never open it.
The ones who open it tonight are the ones who show up in 12 months having built something nobody around them understands yet.
Bookmark this.
Open the first one tonight.
Creators of Claude Code:
"I thought Claude Code was the thing that makes engineers go faster...
loop makes engineers go way faster "
"I have loops running for days, weeks. one has been running for a month.
it checks in every day, checks the data, sends bug fixes. I just see the pull requests coming in"
65% of PRs in Anthropic's product org are now written by loop and it's climbing
"two years ago I was using typeahead.
now Claude writes the feature, runs entire experiments end-to-end, does my data analyses - two leaps in 2 years "
bookmark and watch this new workshop โ
An ex-Google engineer covers agent loops, harness, and evals in 20 minutes.
Gives you more than any $500 course.
Log every run.
Send it to an LLM for judgment.
Find what went wrong.
Fix it.
Ship the new version.
That cycle makes agents better each time.
The stack: loops + memory + harness + evals.
Watch the video, then use the framework below.
CLAUDE IS OFFERING 13 AI COURSES & CERTIFICATES.
ALL FREE. START LEARNING NOW.
* Claude 101. Learn Claude for everyday work.
https://t.co/UAgugPyy7Y
* AI Fluency: Frameworks & Foundations.
https://t.co/ovZY49ad80
* Introduction to Agent Skills.
https://t.co/Y5JvILgkis
* Building with the Claude API.
https://t.co/tZb7NgfKhY
* Claude Code in Action.
https://t.co/opFLlDSSE0
* Intro to Model Context Protocol.
https://t.co/9xAgmZVnZZ
* MCP: Advanced Topics.
https://t.co/43QXYmkt2d
* AI Fluency for Students.
https://t.co/9x8urphrXf
* AI Fluency for Educators.
https://t.co/nCBNp0p8Wc
* Teaching AI Fluency.
https://t.co/5A9RnzqPEl
* AI Fluency for Nonprofits.
https://t.co/sAK5lRHNVt
* Claude with Amazon Bedrock.
https://t.co/8gnvefJ7p6
* Claude with Google Cloud's Vertex AI.
https://t.co/fKqLQTMYKs
BOOKMARK TO SAVE IT FOR LATER
โป๏ธ Repost this so others get free AI education.
this is f*cking gold
Andrej Karpathy joined Anthropic five weeks ago.
A friend on his team just showed me the exact Claude.md file he actually uses.
I dropped it into my setup. The very first response was different.
Not slightly different. Completely different.
Claude stopped giving generic answers and started working exactly the way I think.
Bookmark it before it gets lost in your feed.
Read it now, then check the article below.
Met a guy making $1.4 million a year as a prompt engineer.
I asked him how he learned prompting so well.
He sent me a video that was never supposed to get out. Andrew Ng's 2 hour prompting course.
You wont find anything better about prompting than this video.
I watched it last night.
Halfway through, I realized I have been using Claude completely wrong for years.
Bookmark and watch this today.
Anthropic Managed Agents Lead:
"At Anthropic, >90% of our engineers are building with self-improving loops. In 4-6 months, it will be 100%.
my agentic loops can run for hours without spending hundreds of dollars."
in this 40-minute podcast, an Anthropic team lead reveals how to build effective agents from scratch.
Agent โ harness โ loops โ memory = modern agent
This one video will replace 10 paid courses on vibe-coding.
Watch it today, then explore the same setup in the article below.