Beemorabi™

👨‍💻

[Aporia @aporia9n]

I think ambitious people should treat life in “seasons” rather than trying to balance everything every day.

A few years massively overallocated to work. A period getting seriously fit. A year or two nomading. Then family takes priority for a while. Then maybe at 35 you go completely insane again and spend four years building a new company, and so on.

The mistake is thinking every metric needs to stay green all the time. Most great outcomes (building a company, writing sth serious, training for an event) need uninterrupted runs, not daily moderation. Sometimes work should suffer cause you’re travelling, sometimes your social life should suffer cause you’re building, sometimes career progression should slow cause family matters more. That’s fine.

And tbh it probably makes life more fun too. You get actual chapters and completely different versions of yourself instead of spending 40 years maintaining the same perfectly optimised routine. A few intense years in one city, a weird nomad phase, an obsession that takes over your life, then something completely different. Probably much more memorable than one very long well-optimised Tuesday.

It's why I encourage everyone to think of balance in years, not days. A good life can look horribly unbalanced on some random Tuesday and still be very balanced over 10 years.

[Beemorabi™ @beemorabi]

I accept

[jack friks @jackfriks]

damn ok

[Andrej Karpathy @karpathy]

One pattern I find useful for working with LLMs is a nice long ramble session. Sometimes the LLM needs more bits to understand what you're trying to achieve, but you're too lazy to type them. In these cases I like to lean back, switch to /voice and just ramble for like 10 minutes, total mess, anything goes, full stream of consciousness. Sometimes I declare it up top, something like "switching to speech recognition sorry for any typos...". Sometimes I turn it into a small interview of a few turns. But I find that the LLMs are somehow very good at reconstructing long incoherent rambles and often their echo of your own tangle of thoughts comes out quite a bit cleaner than what you started with. The result is that you improve the mind meld and have to correct things less from that point on.

[Zongheng Yang @zongheng_yang]

Today, SkyPilot is out of stealth.

Building custom intelligence is now existential. We help frontier AI teams build intelligence faster by removing their biggest bottleneck: AI compute fragmentation.

Frontier teams like @appliedcompute, @AbridgeHQ, @hippocraticai, @hcompany_ai, and @nubank already run on SkyPilot, with 10x faster time-to-intelligence and double-digit increase in GPU utilization.

AI teams today get compute anywhere they can. They then firefight compute fragmentation across providers. Researchers burn time on workload setup. Infra gets paged when GPUs go down. Frontier teams build slowly even on the fastest compute.

@skypilot_org turns your fragmented compute into one AI supercomputer, so you run frontier workloads faster. Many users manage 10,000+ GPUs across providers with SkyPilot. GPU hours consumption has grown 6x in the last 6 months.

1/ We're launching SkyPilot Platform — the AI compute platform for frontier AI teams to manage large GPU fleets and accelerate building custom intelligence.

Optimized for fleet management, team governance, and frontier workloads — pretraining, post-training, multi-cluster serving, and sandboxes. SkyPilot open source users can switch to the platform with a server URL change.

2/ We've raised over $20M led by @Lux_Capital (@breeves08), with participation from @AmplifyPartners (@dauber, @lennypruss), @coatuemgmt, @FoundationCap (@ashugarg , @JayaGup10), @RaceCapital, @thehousefund, and top operators like @alighodsi (CEO, Databricks), @JeffDean (Chief Scientist, Google), @rauchg (CEO, Vercel), @amasad (CEO, Replit), @ClemDelangue (CEO, @huggingface) and more.

We're hiring across Engineering and GTM to deliver the platform for the next decade of AI.

Above all, I'm excited to be building with the incredible team we've assembled, along with my cofounders Zhanghao @Michaelvll1, Romil @bromil101, Scott, and Ion @istoica05.

If you firefight AI compute, let's build.

[Alexander Whedon @alex_whedon]

We had a great conversation with @sophiadew x on @MTSlive.
We talked about why scaling AI isn't just about bigger models, but better architecture and what we're building next at @subquadratic.
Check it out.

[Beemorabi™ @beemorabi]

@jamaal_tv I would say for now yes. Open source is going to catch up though. Also, I think you can spend time working on a harness to make even local models do decent coding assistant/thought partner

[Alexander Whedon @alex_whedon]

Join Subquadratic in SF for a casual gathering this Saturday (link in comments)!

We are a foundation model company building the most compute-, memory-, and sample-efficient foundation model architectures for the next era of AI computing! We love to chat about challenging base assumptions of the industry.

We are hiring folks to work on large-scale pre- and post-training, long-context modeling, model architectures beyond attention, world models, efficient inference and training, and more.

[Farza 🇵🇰🇺🇸 @FarzaTV]

We built an AI that can draw on your screen.

It's a true personal tutor.

Using Claude Opus we're able to draw polygons, point with pixel perfect accuracy, and walk users through complex steps directly on their screen.

Here's me learning Pythagorean Theorem + FL Studio.

Demo:

[Alexander Whedon @alex_whedon]

Here is the technical report on SubQ 1.1 Small.
https://t.co/bu8AEc4lsk

This is the second iteration on our Subquadratic Sparse Attention (SSA) model, and the first to be deployed with design partners in the coming weeks.

The results are compelling and verified by @AppenResearch.

- Near-perfect long-context retrieval up to 12M tokens on the needle-in-a-haystack test, with up to nearly 1,000x attention compute reduction.

- A balance of long-context optimization and general reasoning ability, with strong performance retained across knowledge, coding, and non-coding enterprise agent benchmarks.

- At 1M tokens, SubQ 1.1 Small requires 64.5x less compute than dense attention and runs 56x faster than FlashAttention-2.

These results highlight a significant scaling advantage thanks to the efficiency gains from the SSA architecture.

We included some details and learnings from the development process which may be helpful to the community.

Comment with questions, I’ll try to respond!

[Alexander Whedon @alex_whedon]

We've partnered with Appen to evaluate the benchmarks we published last week.

Results are in and we've actually improved across the board.

Link below to the full report.

[Alexander Whedon @alex_whedon]

We were a little slow on this, but we just got a technical blog post up with more details. Please take a look!

https://t.co/tPLzi0eNJR

We have a model card coming next week, and we are happy to take requests for any specific details there.

I am happy to answer any questions here!

[Alexander Whedon @alex_whedon]

Introducing SubQ - a major breakthrough in LLM intelligence.

It is the first model built on a fully sub-quadratic sparse-attention architecture (SSA),

And the first frontier model with a 12 million token context window which is:

- 52x faster than FlashAttention at 1MM tokens
- Less than 5% the cost of Opus

Transformer-based LLMs waste compute by processing every possible relationship between words (standard attention).

Only a small fraction actually matter.

@subquadratic finds and focuses only on the ones that do.

That's nearly 1,000x less compute and a new way for LLMs to scale.

[Beemorabi™ @beemorabi]

Check out something I've built for this ramadan: https://t.co/mLx4dmRntl

Here'a short video showing what it is

[Islamicize @islamicize]

A Palestinian father loses his son in an airstrike and the first thing begs Allah for is a return of the khilafa

This is what they’re afraid of

[Islamicize @islamicize]

"The fact that disbelievers rule over us and subject us to ignominy on every possible occasion shows that we are being punished for ignoring Islam-God's greatest gift to us."

📚: "Let us be Muslims", Maududi

[Eddie Deen @TheDeenShow]

Congratulations to Royce Gracie on embracing Islam! Stay grounded in your faith and let the strength of your convictions outweigh the noise of any negativity. Remember, your belief in absolutely One God ☝️, stay true to your beliefs that
Pulled you towards Islam(peace acquired by submission to the will of the Creator)

To the wider Muslim community, let us extend a heartfelt welcome to our brother, Royce Gracie. May we embrace him with open arms, love, and support him on his journey. Royce, wishing you continued success and blessings on this new and beautiful path.

It was a great pleasure meeting your son Khonry Gracie too. Look forward to welcoming you both back to The Deen Center soon.

[5Pillars @5Pillarsuk]

"Your God is only one God"

Quran verses have popped up at key train locations all across London as part of a major dawah push by @iERAorg.

The campaign is a response to a spike of public interest in Islam amid the Gaza genocide and wider global insecurity.

[Censored Men @CensoredMen]

🇵🇸🥊 UFC fighter, Umar Nurmagomedov, dedicates his win to the people of Gaza.

@UNmgdv