🚨 A MASS SHOOTING AT A HINDU TEMPLE NEAR CHICAGO WAS BEING PLANNED BY A WHITE SUPREMACIST.

THIS SHOULD TERRIFY EVERY AMERICAN.

19 year old Alexandros Paporakis allegedly planned to massacre Hindu worshippers. Police recovered a rifle, loaded magazines, HUNDREDS of rounds of ammunition, body armor, and a manifesto expressing HATRED toward Indians.

Imagine taking your children to a temple on a Sunday morning, completely unaware that someone may be preparing to SLAUGHTER your family simply because of your ethnicity or religion.

THIS IS HOW DEADLY RACIAL HATRED CAN BECOME.

For YEARS, HATE INFLUENCERS have turned demonizing Indians into a PROFITABLE BUSINESS.

Millions of impressions. Endless dehumanization. Racism disguised as political commentary.

ONLINE HATE DOES NOT STAY ONLINE.
IT CAN and HAS TURNED INTO REAL-WORLD TERRORISM.

We must HOLD these hate influencers ACCOUNTABLE for the hatred they push and normalize.

DO WE REALLY HAVE TO WAIT UNTIL INNOCENT INDIAN AMERICAN FAMILIES ARE MASSACRED BEFORE THIS COUNTRY TAKES ANTI-INDIAN HATRED SERIOUSLY?

ENOUGH IS ENOUGH.

we now have flying cars, self landing rockets, self driving taxis, humanoid robots, brain chips, frontier ai, quantum computers, gene editing, satellite wifi, nuclear fusion breakthroughs and an abundance of food and water

most of these are courtesy elon musk

usa was, is and always will be the greatest country on the planet 🇺🇸

The situation was quite like 9/11.

Terrorist trained to be a pilot, looks for an opportunity to enter the cockpit, and then kill the captain to eventually take control of the plane & crash it.

This plan was even more foolproof. The terrorist was the co-pilot, no need of announcing a hijack, had an axe instead of a box-cutter, and just had to neutralise one pilot instead of two.

Imagine the bravery of the Indian pilot, who was relentlessly being attacked by an axe, yet managed to relay the signal of a hi jack. And MOST IMPORTANTLY opened the cockpit door so that others can enter. Saved 100+ lives.

The Gujarati pilot, Smit deserves the biggest bravery award. 🙏

$META just unveiled $1,299 VR glasses weighing only 100g by moving the battery and compute into an external pack.

Bigger shift is that Muse becomes the interface because Zuck says you can “just talk to it” while any flat surface can become a keyboard.

IIT Bombay, the institute Prof Doolla gave his life to, knew this. And yet it retracted its original statement now corroborated by the CCTV footage, dismissed Prof Doolla from deanship, sent him on indefinite leave, and never once condemned the FIR on him under the SC/ST act.

woah this is pretty awesome

500+ helpful prompts to turn muse into the best chief of staff, best marketer, best PM…

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I just built the largest collection of helpful prompts (500+) to turn Muse into the best chief of staff, best marketer, best PM you've ever had.

@Muse can be so much more than a glorified admin assistant. There are hundreds of ways to use it at your job.

Completely free, check it out: museatwork.app

RT @pravesh: did my B.Tech at IIT Bombay and my PhD at IIT Delhi. I've been a professor for 14 years now. In 22 years of w…

There are so many seasoned software executives who are completely out of their element with the types of products that will breakout in the next few years.

Over the last 20 years, their brains were wired to build apps that deliver value by outputting deterministic results, but AI produces value from probabilistic results. This is such a different way to approach how something should work.

Young people who are thinking in this way from the outset will be at a significant advantage -- in the same way they were advantaged when thinking about how products could be social in 2010.

My favorite use cases for Muse / Instinct so far:

1. Submit FOIA requests to request data from the US government
2. Creating spend-limited Privacy cards to spend on subscriptions without having them recur
3. End to end filed an entire visa form for a country
4. Responded to a coordination mail for a wedding by finding the flight and hotel details
5. Look for reservations for restaurants or concerts when they open and purchase them immediately

A lot of the web was designed with dark patterns: increase friction to prevent enough humans from doing something, and now those walls are completely broken.

At this point, I feel like I’m squarely limited by creativity and understanding what is possible.

After trying a bunch, my current favorite non-frontier coding setup is Opencode+Muse. The Muse model is slightly less intelligent than others, but better at talking normally instead of in its own invented language, and less likely to do ten things I didn't want. Also cheap!

btw, I also run an engineering "newspaper" curating blogs, articles, and papers on system design, databases, and applied AI.

I keep it updated every day. It publishes with a 2-day delay, but is heavily curated.

It is called tdd.cat, you might find it helpful. High signal, low noise, always :)

“One day you will wake up and there won't be any more time to do the things you've always wanted. Do it now.”

— Paulo Coelho

This paragraph by Richard Feynman hits so hard:

“Fall in love with some activity, and do it! Nobody ever figures out what life is all about, and it doesn’t matter. Explore the world. Nearly everything is really interesting if you go into it deeply enough. Work as hard and as much as you want to on the things you like to do the best. Don’t think about what you want to be, but what you want to do. Keep up some kind of a minimum with other things so that society doesn’t stop you from doing anything at all.”

Google has an authorization system called Zanzibar that decides who can access what across products like Drive and YouTube. One of the most important services there...

One of the key pieces of Zanzibar is an index called Leopard Index, and that is what makes access checks faster. The idea behind it is the core; let's dig deeper...

In any Google product, authorization comes in two fragments. It has notions of users and groups. Users can be part of groups, and groups can even contain other groups.

Say Alice is in payments-team, which is within backend, which is inside engg. To check whether Alice is in engg, you have to walk up that chain one hop at a time. With deep nesting, that means many lookups across many machines on every access check.

Leopard's indexing system avoids the walk by doing the work in advance. It keeps two lookup tables.

1. member -> group - maps a user to the groups they belong to directly. Alice maps to payments-team.

2. group -> group - maps a group to every group nested under it, at any depth. engg maps to backend and payments-team, plus itself.

To check whether Alice is in engg, look up both sets and see if they share anything. Here, they share payments-team, so the answer is yes. That is two lookups and one overlap check, no matter how deep the nesting goes.

You would have guessed the trade-off that they are making here :) It is the classic.

Now, to stay fresh, the index combines a periodic full rebuild with a stream of recent changes, so new memberships show up quickly.

The cost is on the write side. Placing one group inside another means updating many precomputed entries. That is a good trade for authorization, since checks happen far more often than membership changes.

If you have a slow graph walk on a hot read path, precomputing the answers may be worth considering. A mental model worth remembering.

Hope this helps.

One of the greatest viruses of the modern man is looking at Instagram Stories. You will melt your brain looking at a barrage of outcomes—like vacations, parties, cars—with no visibility of the process that got them there.

Today's kids: iPhone Duo is peak design

Meanwhile phones in 2000s:

Anthropic’s Economics team is sharing a new model of how AI might affect economic growth, jobs, wages, and more by 2030.

Explore the scenarios, tell us what you think will happen, and see how your answers compare to more than 10,000 Americans. anthropic.com/institute/econ…

I resigned from Anthropic today. I spent the last three years doing pretraining research at both OpenAI and Anthropic. Neither company is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives. More thoughts below.