joe

physics & ai | “ad astra pro sapientia.” | @NanarchTech

[joe @xjoepec]

I see a lot of people have the right answer but let me explain further.

The Brachistochrone curve, is used for solving for the fastest descent under gravity.

In General Relativity, geodesics reduce spacetime intervals, a.k.a serving as the shortest paths through curved spacetime.

Spacetime engineering such as creating wormholes, alters metrics to reshape these geodesics, providing more efficient routes.

Vacuum engineering extends this concept by modifying fundamental electromagnetic properties, such as permittivity and permeability, to influence the speed and dynamics of light and matter propagation. (Introduce Ken Shoulders)

These changes can alter effective refractive indices or spacetime curvature, effectively allowing for traversal wormholes (Einstein-Rosen bridges).

[Henrijs Dandzbergs @henrijsdan]

Launching @polemos_inc (YC F26) today.

Precision strike was built for a different era: expensive, slow to produce and fielded in small numbers. Polemos is building it for the war that’s actually coming, with networked launch systems that strike in mass and AI guidance carrying every round through the terminal phase. It’s all designed to be mass-produced from day one, to protect us from the warfare of tomorrow.

Precision, at scale.

Shoutout to @zeroonecreative for the video

[elie @eliebakouch]

inkling 2 small is extrememly impressive

it's a new pre train from scratch (17B active 594B total param), train fully in only a few dozen of days, with much much much less compute and data (only 12T token!) than any other model they are competing with. the base model ppl loss on their internal code is lower than Kimi K3.1 (they even "base-recovered" the model to make a fair comparison!!)

the benchmark are super strong overall and they also optimize for metric and domain that they care, like finetunability and domain like finance

huge congrats, imo one of the most impressive release in the open weight western ecosystem this year

https://t.co/ceHO9OQ5ln

[joe @xjoepec]

@Na_thanks a must watch ‼️

[Chubby♨️ @kimmonismus]

The world's most significant corporations - worth billions or trillions of dollars - are publicly squabbling for all the world to see. Craziest time we are witnessing.

[Andrew Côté @Andercot]

A bonus surprise speaker has joined the lineup, none other than Hal Puthoff

Hal joins @Jason_Jorjani , @StuartHameroff , Thomas Brophy, James Tagg and @MaxDerakhshani

I think this is shaping up to be one of the most interesting and frontier events @deeptechweek has ever hosted

thanks again to @M31Capital for making it possible

[joe @xjoepec]

@MTSlive https://t.co/6FM6UCoIzh

[joe @xjoepec]

@MTSlive https://t.co/6FM6UCoIzh

[Wall St Engine @wallstengine]

OPENAI HAS LARGELY AUTOMATED TRAINING OF NEW EXPERIMENTAL AI MODELS

OpenAI’s internal AI models can now handle much of the process of building and training experimental models, including writing GPU kernels and optimizing the code used to run them.

Researchers can reportedly give an AI a single example of the optimization they want, then let it work for weeks implementing and testing similar improvements.

OpenAI employees also say internal agents increasingly collaborate with each other to solve problems without involving their human users.

The capability has improved significantly in just the last few months, while OpenAI’s growing access to compute is allowing researchers to test ideas much faster. Employees said some experiments that previously could have taken years can now be carried out in about a week.

Source: The Information

[joe @xjoepec]

john steed vibes

[TBPN @tbpn]

Amazon Ban Hammer, Augustus Makes It Rain, Vinod Khosla Joins, Aaron Levie Breaks His Silence, Ben Hylak IRL! https://t.co/U1f78EltHT

[joe @xjoepec]

https://t.co/o2xfd7EJLg

[joe @xjoepec]

https://t.co/cuAAkxpxCx

[hunter @HunterALanier]

I finished studying a little early last night and figured I had about 30 minutes before bed to check out Nuclear Design Bureau

Idk why I’m like this but I achieved 1mT total yield with 850kT fusion yield this morning between 3-4AM and have 1 hour of sleep today

[joe @xjoepec]

the Teller–Ulam design

conventional fission bombs simply explode and emit large amounts of x-rays, however ..

in 1951 Edward Teller and Stanislaw Ulam at Los Alamos, proposed that the x-rays of a fissionable device themselves (since they travel faster than the explosion itself) can be channeled or lensed back within a special casing to compress the 2nd stage faster than the heat of the blast can destroy it

pressure crushes the thermonuclear fuel (such as lithium-6 deuteride) and triggers a spark plug, **initiating nuclear fusion and releasing a far more impressive blast** (!!)

[joe @xjoepec]

@PalmerLuckey @micsolana mogging the tl like always

[joe @xjoepec]

yeah , this Ulam.

[joe @xjoepec]

the Teller–Ulam design

conventional fission bombs simply explode and emit large amounts of x-rays, however ..

in 1951 Edward Teller and Stanislaw Ulam at Los Alamos, proposed that the x-rays of a fissionable device themselves (since they travel faster than the explosion itself) can be channeled or lensed back within a special casing to compress the 2nd stage faster than the heat of the blast can destroy it

pressure crushes the thermonuclear fuel (such as lithium-6 deuteride) and triggers a spark plug, **initiating nuclear fusion and releasing a far more impressive blast** (!!)

[joe @xjoepec]

that’s MY quant

[Polymarket Traders @PolymarketTrade]

We gave a fly $100 to trade on Polymarket.

It already called today’s pump in the "25 bps increase" on Fed Decision polymarket.

Every second, its next move is decided by 166,700 neurons.

[joe @xjoepec]

brutal

little guy can do it all

[Danielle Fong 🔆 @DanielleFong]

did any body notice their fly quantized lately

[joe @xjoepec]

you can tell this is dan winter within a fraction of a second due to the characteristic phrasing and use of the CAPS lol

winters work will age like wine

[AstroquantPhysics @quant_astro]

Some weird spacetime stuff

[joe @xjoepec]

@OpenAI i wonder which DARPA MHD papers it trained on

[joe @xjoepec]

@alchemaxxing better than whatever model they use for chat title summaries, innit?