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NSFW: null, trappable Here’s ‘01’, another trying-things-out suit based on a fun design by @BoxCatDrawings linked below. Maybe the heads for 00 and 01 could be swapped for proportion- also fleece was not forgiving on the breast/arm cuff shape but just more improvements for 02.

Stoof ➡️ ASC

11,999 subscribers

94,027 views • 2 years ago •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

10 Comments

Stoof2 years ago

Not remotely the same level of cuteness and shininess as the original drawing, but based on tests about the same levels of immobility and fun. Hope I get to mess around with more designs 💦 like this soon, thanks @BoxCatDrawings!

CLEO COW 🎀🐮 ➡️ ANTHRO NEW ENGLAND 20252 years ago

@BoxCatDrawings This is amazing I would love to be in that 🥰🐶

Phlegmy 😶‍🌫️2 years ago

@BoxCatDrawings *01 sheep struggling* My lil guys defending the open window: 👁️👁️ 👁️👁️ 👁️👁️ 👁️👁️ 👁️👁️

hazynights.bsky.social2 years ago

@BoxCatDrawings Long been after something like this but latex and pony flavored.

Seeker of Belly Rubs, Big Town Bailey2 years ago

@BoxCatDrawings You're such a fucking artist

Suu Suraimu2 years ago

@BoxCatDrawings Snuggable!

Blaze Doll2 years ago

@ZedSqueaks @BoxCatDrawings Where can I get one?

🔞🔞🔞Ewens The Balloonogen 🎈2 years ago

@BoxCatDrawings i dont need it.. i dont need it... i dont need it....

Pup Toffee 🐾2 years ago

@ZentaiRenamon @BoxCatDrawings Oh wow. Would love to be trapped in

the cuddles fox2 years ago

@BoxCatDrawings What am I looking at?

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NSFW: null, trappable Oop, accidentally deleted the post so here’s some more footage. This is null ‘00’, experiment to upscale a plush pattern into a suit. One piece with zippers, the intent was originally to walk on all fours with hind stilts but the hardware needs more work.

Sensitive content

NSFW: null, trappable Oop, accidentally deleted the post so here’s some more footage. This is null ‘00’, experiment to upscale a plush pattern into a suit. One piece with zippers, the intent was originally to walk on all fours with hind stilts but the hardware needs more work.

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54,327 views • 7 months ago

By blaming Israel for literally everything you actually hurt your own argument when they do bad things that should be called out and discussed. Maybe let’s focus more on the left that’s actively trying to harm us on a daily basis.

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Emily Saves America

285,191 views • 1 year ago

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29,406 views • 11 months ago

Yoshua Bengio thinks he knows how to make provably safe superintelligent agents. Bengio built the foundations of modern AI and is the most cited living scientist. He believes his alternative training setup would: 1. Guarantee honesty 2. Prevent unintended goals 3. Produce capable agents 4. Port over most data and techniques from current LLMs 5. Not be inherently more expensive, and perhaps be more intelligent Bengio claims the honesty and lack of unintended goals can be proven mathematically, at least given particular assumptions. And his new organization, LawZero, is aiming to build a scrappy prototype as soon as possible. The architecture is called 'Scientist AI' and it's based on training a model to explain empirical observations, including what people say, rather than training AIs that mimic human behaviour or seek our approval. (Bengio's frank assessment is that "reinforcement learning is evil" and that allowing AIs to independently train their successors is "the most crazy, dangerous bet that unfortunately we are on track to do.") But skeptics question whether Scientist AI really does solve the fundamental problem of 'eliciting latent knowledge' from AI models. And with the commercial race for superintelligence so intense, it's not clear whether the proposal will be able to compete or have time to bear fruit, even if it's sound in theory. On The 80,000 Hours Podcast, links below – enjoy! • Making AI honest and safe (00:00:00) • Scientist AI in plain English (00:02:27) • How Scientist AI differs from LLMs (00:06:32) • How the training data works (00:14:02) • Can this become an agent? (00:21:02) • Why Yoshua is now more optimistic (00:32:11) • Why companies can’t stop racing (00:36:35) • A working prototype won't take long (00:49:15) • Scientist models might be more capable (00:53:34) • “Reinforcement learning is evil” (01:01:27) • Scientist AI from guardrail to agent (01:08:37) • Can safe AI still be competent? (01:12:38) • How much will this cost? (01:19:29) • Can it generalise beyond maths and science? (01:23:26) • A multi-national push for superintelligence (01:39:19) • Want to work with or fund Yoshua? (01:51:16) • Why smart people ignore AI risk (01:54:45) • Don’t let AI build the next AI (02:01:33) • Why politicians miss the real risks (02:12:28) • Why Yoshua changed his mind about AI risk (02:21:27)

Yoshua Bengio thinks he knows how to make provably safe superintelligent agents. Bengio built the foundations of modern AI and is the most cited living scientist. He believes his alternative training setup would: 1. Guarantee honesty 2. Prevent unintended goals 3. Produce capable agents 4. Port over most data and techniques from current LLMs 5. Not be inherently more expensive, and perhaps be more intelligent Bengio claims the honesty and lack of unintended goals can be proven mathematically, at least given particular assumptions. And his new organization, LawZero, is aiming to build a scrappy prototype as soon as possible. The architecture is called 'Scientist AI' and it's based on training a model to explain empirical observations, including what people say, rather than training AIs that mimic human behaviour or seek our approval. (Bengio's frank assessment is that "reinforcement learning is evil" and that allowing AIs to independently train their successors is "the most crazy, dangerous bet that unfortunately we are on track to do.") But skeptics question whether Scientist AI really does solve the fundamental problem of 'eliciting latent knowledge' from AI models. And with the commercial race for superintelligence so intense, it's not clear whether the proposal will be able to compete or have time to bear fruit, even if it's sound in theory. On The 80,000 Hours Podcast, links below – enjoy! • Making AI honest and safe (00:00:00) • Scientist AI in plain English (00:02:27) • How Scientist AI differs from LLMs (00:06:32) • How the training data works (00:14:02) • Can this become an agent? (00:21:02) • Why Yoshua is now more optimistic (00:32:11) • Why companies can’t stop racing (00:36:35) • A working prototype won't take long (00:49:15) • Scientist models might be more capable (00:53:34) • “Reinforcement learning is evil” (01:01:27) • Scientist AI from guardrail to agent (01:08:37) • Can safe AI still be competent? (01:12:38) • How much will this cost? (01:19:29) • Can it generalise beyond maths and science? (01:23:26) • A multi-national push for superintelligence (01:39:19) • Want to work with or fund Yoshua? (01:51:16) • Why smart people ignore AI risk (01:54:45) • Don’t let AI build the next AI (02:01:33) • Why politicians miss the real risks (02:12:28) • Why Yoshua changed his mind about AI risk (02:21:27)

Rob Wiblin

65,088 views • 4 months ago