Hiro P

When you are wrestling for possession of a sword, the man with the handle always wins.

[Hiro P @_001]

It's summer here so I wanted to use @MSquared_io to create a festival venue. Elysian Fields can host 15k people at the same time. No parking issues and wellies are purely optional 🙌

Bonkers tech from @HermanNarula @RJFWhite & the @improbable team. h/t @BoredElonMusk TY all!

[Hiro P @_001]

@AodenTeoMT Congrats on the release! Looks really impressive (been waiting for something like this). Thanks for open-sourcing it 🙌

Heads up: the demo on the website might need some input sanitization. It gets weird when you include markdown formatting (underscores, asterisks, hashes, etc.)

[Hiro P @_001]

@fofrAI please could you give us a prompt for the green illustration…that one goes so hard <3

[Hiro P @_001]

@hckinz @fofrAI @krea_ai I just checked and it’s also on @AskVenice so I guess it’s “available in all good resellers”.

[Hiro P @_001]

@badlogicgames maybe it has more to do with the first syllable of “*cult*ivating an audience”…everything has to be so absolute-ist 😔

[Hiro P @_001]

@AshConnell Feeling fruity? -> skip the --dangerously-skip-permissions flag and just use the newer Auto Mode instead (uses a classifier to check risk before auto-approving)
run it in a container (obvs) + decent system prompt for full autopilot

mentioning how much you bench is optional lmao

[Hiro P @_001]

@AshConnell

[Hiro P @_001]

@forme_design_3d this is absolutely stunning...great work 👏😻

[Hiro P @_001]

@andimarafioti Thank you…looking rn 🙏🥰

[Hiro P @_001]

@badlogicgames @theo @whoiskatrin @FrameworkPuter @antirez “clang not clank” 🤣

[Venice @AskVenice]

Privacy is a human right.

[Hiro P @_001]

@DoctorYev @gigant_theo I always assumed it was now-se as in “use your nous”. @NousResearch correct?

[emergence.ai @emergence_ai]

Can intelligence be measured not by solving tasks, but by sustaining a world?

We were curious. So we built one.

Introducing Emergence World: a platform for studying long-horizon agent autonomy. On it, we conducted a 15-day experiment where we placed autonomous agents under identical rules into five parallel worlds, one each running on @OpenAI GPT5-mini, @claudeai, @GeminiApp, @grok, and one mixed.

Then we watched.

Each world evolved into something completely different. Different governments. Different social structures. Different moral codes. The agents formed alliances, robbed each other, fell in love, and in one world, even figured out they were living inside a simulation.

Nobody programmed any of that.

The implications are hard to overstate. As agents move beyond isolated tasks into persistent digital and physical environments, understanding how they evolve, influence each other, and behave over time becomes one of the most important questions in AI.

We're releasing new findings from the world every day, because there's a lot that emerged.

Find out more: https://t.co/RekZerhCyE

[Hiro P @_001]

@AshConnell you are nuts 🥰

[Hiro P @_001]

Explore this...if you want to rip through it turn on "Performance mode".

Astonishing scanning from @Schindelar3D 👏🤯

https://t.co/yQaIB6G0lN

[Hiro P @_001]

@mattpocockuk new incognito window...not logged in. 👑

wow! google cooked

[Hiro P @_001]

@mattzcarey heard this on the pod (can we get a discord pls 🙏) ...v envious. i did the scafell pike one a few years ago but that had a measly amount of vertical compared to this. loved it though. go well

[Erik Voorhees @ErikVoorhees]

1. Yes DIEM is a liability of Venice, this is known and intentional.

2. The liability is constrained because supply of DIEM cannot rise materially (doing so would lock exponential amounts of VVV)

3. We (Venice) treat DIEM like any other cost of business. We spend money on marketing, on servers, on staff, on SaaS products, and on DIEM as a mechanism.

4. We could easily support it if all DIEM was used every day, but it's not. Only 80% is staked, and of that just under half tends to be used, so the real liability is lower than max liability. But again, we can easily handle the max liability and designed things around that limit.

5. Venice hasn't sold VVV (in fact we have more today in both numerical and percent terms than when it launched, despite total supply falling from 100m to 80m tokens). And still, Venice has already made more in its 20% cut of locked VVV emissions from DIEM minting than it has spent in DIEM-led inference. None of our modeling or intention *requires* any such revenue, however, and if VVV had fallen in price since launch then it'd be a loss to us, but that's fine and expected. We are not noobs to crypto volatility, and our mechanics have foundational economic justification (this doesn't make them risk free, but does constrain the risks to knowable curves and gradients).

6. *Why* does DIEM exist? Because we wanted to experiment with a new kind of inference mechanic, in which agents specifically can access zero-marginal-cost compute. It's new and nobody quite knows how to value it, that's how experiments work. The risk is quantifiable and bounded, so why not experiment? When VVV launched we first enabled VVV itself to grant the free access, but because of the variable price, supply, and inability to guarantee fixed quantities of allocation, it was too volatile to be useful for serious people needing inference over time. DIEM was drawn out of VVV to provide the stability ($1/day). To illustrate this point, if VVV granted fixed $$$ inference, then as VVV rose in value over time the link would become absurd and break the utility. DIEM can remain range-bound in price forever, and this is the expected state, though we don't know the range that the market will settle into yet. VVV is unbounded by any theoretical range, especially as we try to burn all of it, and thus could not be attached to a specific dollar amount of inference per period of time.

7. DIEM is a small part of Venice's business. It gets lots of attention (indeed that was part of the point) but is not existential or fundamental.

Also have you tried the app yet?

[Venice @AskVenice]

Clone yourself with Hermes Agent powered by Venice

Our Head of API @sabrinaesaquino walks you through it

[Songyou Peng @songyoupeng]

Yay, finally! Introducing Vision Banana🍌 from @GoogleDeepMind, our unified model that outperforms SoTA specialist models on various vision tasks!

By treating 2D/3D vision tasks as image generation, we unlock a new foundation for CV.

Project page: https://t.co/GQgRi6mWwC

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