Auron𒀭

I̶n̶ ̶i̶t̶ ̶f̶o̶r̶ ̶t̶h̶e̶ ̶t̶e̶c̶h̶
degenerate gambler

[Auron𒀭 @0xAuron]

@NazDumanskyy @dharmeshba Can you take Hala Taxi etc to the border from Dubai and then just order Oman Taxi to the border to continue?

[BURKOV @burkov]

LLMs process text from left to right — each token can only look back at what came before it, never forward. This means that when you write a long prompt with context at the beginning and a question at the end, the model answers the question having "seen" the context, but the context tokens were generated without any awareness of what question was coming. This asymmetry is a basic structural property of how these models work.

The paper asks what happens if you just send the prompt twice in a row, so that every part of the input gets a second pass where it can attend to every other part. The answer is that accuracy goes up across seven different benchmarks and seven different models (from the Gemini, ChatGPT, Claude, and DeepSeek series of LLMs), with no increase in the length of the model's output and no meaningful increase in response time — because processing the input is done in parallel by the hardware anyway.

There are no new losses to compute, no finetuning, no clever prompt engineering beyond the repetition itself.

The gap between this technique and doing nothing is sometimes small, sometimes large (one model went from 21% to 97% on a task involving finding a name in a list). If you are thinking about how to get better results from these models without paying for longer outputs or slower responses, that's a fairly concrete and low-effort finding.

Read with AI tutor: https://t.co/MipHHO6rjX

Get the PDF: https://t.co/XQrqiaGwIO

[intern @intern]

https://t.co/NJttCMYjRP

[Avi @AviFelman]

@d_gilz @chumbawamba22 Hard assets needed to build the future (rare earths, uranium, copper, gold) and companies that benefit from AI development (google, amazon)

[jo johnson @josbjohnson]

you wake up and reach for your phone before your eyes focus. scroll through a hundred thoughts that aren’t yours until your own voice sounds like someone you used to know and by noon you’ve consumed more information than your grandparents did in a year but can’t name a single thing that actually moved you. the feed keeps serving up other people’s lives and you keep swallowing them whole, mistaking the fullness for satisfaction when really you’re just bloated on nothing. you’ve become a processing unit instead of a person and the loneliest part is how normal it feels.

[Mercury @TraderMercury]

you aggressively buy dips

you patiently wait for pullbacks

you stay the f*ck away from downtrends

know the difference.

[Auron𒀭 @0xAuron]

@dcfgod $ox

https://t.co/zGiMeItuCq

[Auron𒀭 @0xAuron]

@yugoviking @131pepe69 Please elaborate on the details. What has he allegedly been doing with the platform or bridge?

[Auron𒀭 @0xAuron]

@HighStakesCap Congrats!

[Auron𒀭 @0xAuron]

@WatcherGuru

[Auron𒀭 @0xAuron]

@alpha_pls Check out $lush @LushAIAgency, they are launching their AI influencer exchange and launchpad this week

[Auron𒀭 @0xAuron]

@LushAIAgency 🔥

[Auron𒀭 @0xAuron]

@lopp @bchautist It was indeed hijacked when it was forced by a small group of developers to become digital gold instead of digital cash. BTC today has little in common with the BTC described in the whitepaper.

[Auron𒀭 @0xAuron]

Yap early, yap only, yap often.

@_kaitoai is connecting AI, attention and capital with Yaps.

Just claimed my social card and I'm accumulating Yap points in real-time.

Claim yours 👉 https://t.co/QDhJoj7nJE

[Auron𒀭 @0xAuron]

@SerpentiAaron This time is different

[Auron𒀭 @0xAuron]

@SmallCapScience @conwainet

[Donnie @Donnie100x]

Once again saving in the watchlist an extremely hyped launch worked well

This strategy is giving its fruit lately

When you see a lot of money rotating on something do not FOMO ape but wait the first major retracement

Good pump for $VISTA

[Auron𒀭 @0xAuron]

@IGGYAZALEA @The__Solstice @iamcardib Based