Library Path

Books • Learning • Self Growth • Wisdom

[Library Path @LibraryPath]

15 Deep Philosophy and Psychology Quotes that Will Make you Think:

1.

[Library Path @LibraryPath]

@AriaWestcott EAGLE-4 is bringing some serious performance improvements.

[Library Path @LibraryPath]

@AIHighlight Inference speed keeps getting more exciting.

[Library Path @LibraryPath]

@AIFrontliner 961 tokens per second is seriously impressive.

[Library Path @LibraryPath]

@FutureStacked That’s a huge step forward for faster AI.

[Aria Westcott @AriaWestcott]

I wish more AI projects would let developers look behind the scenes instead of just showing off big numbers.

That's what caught my attention about EAGLE-4, because beyond the impressive results in its launch paper, there's a GitHub repository where developers can actually explore the implementation and try it for themselves.

I'm genuinely curious to see how well it holds up when people start testing it on their own workloads.

I'd love to hear what developers think about this. Take a look at the project and share your thoughts: https://t.co/kC2znFcQlk

[AI Highlight @AIHighlight]

Three AI inference methods went head-to-head, and EAGLE-4 came out ahead in the reported test.

Its launch paper shows 961.6 tokens per second for EAGLE-4, compared to 672.6 for DFlash 2 and 618.6 for DSpark on four NVIDIA B300 GPUs.

That's roughly 1.43x and 1.55x their throughput, respectively, showing what its improved token prediction method can deliver under the same benchmark conditions.

The numbers are worth a closer look. Explore the full benchmarks and GitHub repository: https://t.co/UkN8xWO1be

[AI Frontliner @AIFrontliner]

Everyone wants better AI models, but what about fixing the technology running them. 

EAGLE-4 is taking a different approach with EAGLE-Harness, which adjusts how tokens are predicted based on the hardware and workload, while its Efficient LM Head cuts draft-model overhead by over 40%.

 Instead of just throwing more computing power at the problem, it's finding smarter ways to use what's already there.

Curious about the engineering behind it? Dive into EAGLE-4 and see how it works: https://t.co/fQNWpmX6VA

[Future Stacked @FutureStacked]

If AI models are the rock stars, the engineers building the infrastructure deserve a standing ovation.

EAGLE-4 just gave us another reason to be bullish, with its launch paper reporting 4x the throughput of regular decoding in its tested setup. 

The next wave of AI could get very interesting when improvements like this reach more developers.

See what EAGLE-4 is building: https://t.co/i7pNqoGeqb

[The AI Colony @TheAIColony]

Everyone wants the next big AI model, but what if the real winners are the people making existing ones work better?

EAGLE-4 is proving why that matters, with its launch paper reporting 4x the throughput of regular decoding in its tested setup.

The next wave of AI might be built by teams working behind the scenes, and I'm bullish on where this is heading.

See how EAGLE-4 handles the pressure. Check out the benchmarks and code: https://t.co/2JlW8NbxmI

[The AI Colony @TheAIColony]

You can now make up to $50,000/month editing videos without knowing how to edit.

Claude can now handle the editing for you.

Here are ways you can make money with it:

[mika kilpelainen @mikakilpelaine1]

Call me crazy… but I will keep repeating this

Claude + instagram is going to make more millionaires in 2026 than crypto ever did in 2014

[Aria Westcott @AriaWestcott]

Ever remember something you need to do right when you're in the middle of something else?

Like replying to an email while you're working on a project, and knowing you'll probably forget if you don't write it down.

That's what I find interesting about SpeakON. You can capture the thought by voice, then use its AI agent to help with things like reminders and emails.

One less thing to keep in your head.

[AI Frontliner @AIFrontliner]

The annoying thing about most AI assistants is that you still have to do half the work yourself.

You ask, it answers, then you’re back to opening apps and sorting things out.

SpeakON is taking a different approach.
You speak, and its personal AI agent can help with things like emails, reminders, and scheduling.

That’s the kind of AI we’d actually want in our daily routine.

[The AI Colony @TheAIColony]

Could voice become a more natural way to interact with AI?

Imagine remembering an email you need to send or a meeting you need to schedule.

You say what you need, and SpeakON’s personal AI agent can help with supported everyday tasks like these.

That’s an interesting direction for personal AI.

[Library Path @LibraryPath]

@TheAIColony 100%, less typing means more time for the work itself.

[Mike Cleans @cleanwithmike]

If you got laid off tomorrow & had to replace your salary ASAP, here's exactly what to do:

1. Set up a simple website with AI before the week is over. Not next month. Not after you "research more." This week.

[Gedam Tekle @gedamtekle]

If you have $5k in the bank:

• Don't get the new iPhone
• Don't blow it on vacation
• Don't buy a fancy watch

Instead, buy 10 of these little machines & let them make money while you sleep.

Here's exactly how they work:

[Alexander Lari @imalexanderlari]

Nvidia CEO Jensen Huang:

"AI will create more millionaires in 5 years than the internet did in 20."

But he didn't stop there...

He revealed exactly how it'll happen and how you can capitalize on it:

[Rocket Agency @ounojo]

30 days until GRAND THEFT AUTO VI.

[AI Frontliner @AIFrontliner]

Can we get this kind of movement, but with our character?” That's a very different challenge from simply generating a clip. 

Motion capture in Dreamina Canvas lets you use character motion and spatial depth from a reference video to help create a new scene. 

And for just $1.50, Dreamina Basic gives you a full month to explore different creative directions.

Dreamina 2.0 is canvas-first, the new way AI video is made. https://t.co/pXmhmmj5vW

#Dreamina #DreaminaPartner