Moosa Sikkander

Data Science 📖 Football ⚽️ Poker ♦️

[David de Gea @D_DeGea]

Manchester is and always will be RED! 🔴🔴

[Moosa Sikkander @CatchMoosa]

Heading to the World AI Summit in Montreal tomorrow! If you're attending, let's catch up.

[Manchester United @ManUtd]

This is chaos...

Amad scores late on, gets a second yellow for taking his shirt off and Bruno is playing at centre-back.

MAYHEM!!!

[Manchester United @ManUtd]

AFTER OVER 120 MINUTES OF BREATHLESS FOOTBALL...

WE'RE THE FAMOUS MAN UTD AND WE'RE GOING TO WEMBLEY!!! 🏟️

#MUFC || #FACup

[Stretford Paddock @StretfordPaddck]

GET IN!! 🔥🔥🔥

[Manchester United @ManUtd]

AMMMMMMMMAAAAAAAAADDDDDDDDDD WHAT IS GOING ON

[Bojan Tunguz @tunguz]

Machine Learning can be an overwhelming field when you first start out. But with years of study, experience, and hard work you'll realize that you know even less than you had thought.

[Jeff Dean @JeffDean]

Gemini 1.5 Pro - A highly capable multimodal model with a 10M token context length

Today we are releasing the first demonstrations of the capabilities of the Gemini 1.5 series, with the Gemini 1.5 Pro model. One of the key differentiators of this model is its incredibly long context capabilities, supporting millions of tokens of multimodal input. The multimodal capabilities of the model means you can interact in sophisticated ways with entire books, very long document collections, codebases of hundreds of thousands of lines across hundreds of files, full movies, entire podcast series, and more.

Gemini 1.5 was built by an amazing team of people from @GoogleDeepMind, @GoogleResearch, and elsewhere at @Google. @OriolVinyals (my co-technical lead for the project) and I are incredibly proud of the whole team, and we’re so excited to be sharing this work and what long context and in-context learning can mean for you today!

There’s lots of material about this, some of which are linked to below.

Main blog post:
https://t.co/QAsDKXBdao

Technical report:
“Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context”
https://t.co/CTzTHNDCdo

Videos of interactions with the model that highlight its long context abilities:
Understanding the three.js codebase: https://t.co/yq7d6OSD6c
Analyzing a 45 minute Buster Keaton movie: https://t.co/adyMgDYHoK
Apollo 11 transcript interaction: https://t.co/Pqvq3Eac1R

Starting today, we’re offering a limited preview of 1.5 Pro to developers and enterprise customers via AI Studio and Vertex AI. Read more about this on these blogs:
Google for Developers blog:
https://t.co/x73Vun0kVS
Google Cloud blog:
https://t.co/OlaTW6PYGn

We’ll also introduce 1.5 Pro with a standard 128,000 token context window when the model is ready for a wider release. Coming soon, we plan to introduce pricing tiers that start at the standard 128,000 context window and scale up to 1 million tokens, as we improve the model.

Early testers can try the 1 million token context window at no cost during the testing period. We’re excited to see what developer’s creativity unlocks with a very long context window.

Let me walk you through the capabilities of the model and what I’m excited about!

[Moosa Sikkander @CatchMoosa]

@ManUtd ❤️❤️

[Manchester United @ManUtd]

👑👑👑

[AI4Bharat @ai4bharat]

📣 📣 📣 New instruction-tuned LLM! 📣 📣 📣

Today, we announce an initial release of "Airavata", an instruction-tuned LLM for Hindi.

Blog: https://t.co/JtmVZIpVS9

Model: https://t.co/MVpTA0UWEZ

Datasets: https://t.co/avtGcvYT2v

(1/N)

[Bojan Tunguz @tunguz]

Open AI.

[Sundar Pichai @sundarpichai]

Seeing some qs on what Gemini *is* (beyond the zodiac :). Best way to understand Gemini’s underlying amazing capabilities is to see them in action, take a look ⬇️

[Geiger Capital @Geiger_Capital]

Some of the best of Charlie Munger:

“Every time you hear EBITDA, just substitute it with bullshit”. Absolute legend. 🐐

[Castro1021 @Castro1021]

Alejandro Garnacho; my fucking starboy. 💫🥹

[Manchester United @ManUtd]

Speechless.

[(fan) Trey @UTDTrey]

For any rival fan planning to laugh tonight.

We have receipts

[Moosa Sikkander @CatchMoosa]

@ravihanda After seeing today’s earnings from zomato, do you still think she should have sold?

[Moosa Sikkander @CatchMoosa]

Insane numbers and a huge milestone for delivery platforms in India

What remains to see is if they can sustain this growth while remaining profitable

But for now 📈📈

[Deepinder Goyal @deepigoyal]

Out now - Our Q1FY24 Report: https://t.co/C7AScxXN3A

If you have any further questions or feedback, please email us at [email protected]. Always listening!

Quick snapshots of how we’re powering India’s changing lifestyles 🧵

[Moosa Sikkander @CatchMoosa]

@elonmusk @fentasyl