Sensitive content

This media may contain sensitive content.

Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

Jun passing down the Kazama techniques. 💜 DL below! Audio by Evilaudio Jun voiced by VixxenVA 💋 (comms open!), model - ciribestgirl Asuka voiced by Cinder - Adult VA 💋✨, model - MokujinH🔞 Room - Digital Hell 2.0

lewdgazer

127,523 subscribers

379,572 views • 1 year ago •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

Shego vs Mavis | Voice acted video 🥊 Art by Danito Shego voiced by 🍒 CherryRuby_VA🎙🔞 (COMMISSIONS OPEN) Mavis voiced by VixxenVA 💋 (comms open!) Patreon exclusive since September 2, 2024 #boxing #femaleboxing #fanart #HotelTransylvania #KimPossible #crossover

Shego vs Mavis | Voice acted video 🥊 Art by Danito Shego voiced by 🍒 CherryRuby_VA🎙🔞 (COMMISSIONS OPEN) Mavis voiced by VixxenVA 💋 (comms open!) Patreon exclusive since September 2, 2024 #boxing #femaleboxing #fanart #HotelTransylvania #KimPossible #crossover

InvadermuriloX 🇧🇷 (COMMISSIONS ARE CLOSED)

25,555 views • 1 year ago

👅🔊VORE AUDIO🔊👅 Wanna hear Ashe go up against Mercy? Listen here: 🔊FA: 🔊Cohost: 🔊 Weasyl: 🤠Ashe voiced by 🔞 Haviq the Harpy 💜 NSFW VA | Sound Design 🚑Mercy voiced by 🔞 Midnight Datura - slowing down on comms 👅Comm'd by William3833 🔊Sound design by me

Sensitive content

👅🔊VORE AUDIO🔊👅 Wanna hear Ashe go up against Mercy? Listen here: 🔊FA: 🔊Cohost: 🔊 Weasyl: 🤠Ashe voiced by 🔞 Haviq the Harpy 💜 NSFW VA | Sound Design 🚑Mercy voiced by 🔞 Midnight Datura - slowing down on comms 👅Comm'd by William3833 🔊Sound design by me

MonsterChow

32,352 views • 2 years ago

Well that bed ain't gonna last long. Nightshade by Kadath model by @/magnaomega VA by: TheVoiceVixxen 💋 Euphrates OC and model by me VA by: @atticuntrose SFX by HentAudio 🇺🇦 🟢COMMS OPEN🟢 #furry #nsfwfurryart

Sensitive content

Well that bed ain't gonna last long. Nightshade by Kadath model by @/magnaomega VA by: TheVoiceVixxen 💋 Euphrates OC and model by me VA by: @atticuntrose SFX by HentAudio 🇺🇦 🟢COMMS OPEN🟢 #furry #nsfwfurryart

Euphrates 🔜 Eurofurence 30

455,327 views • 3 years ago

Tan's Party Trick! Now voiced acted by the wonderful @Ani_Seadragon and ♥️Mieraleeeem VA🔞 (COMMS OPEN) ! Thank you for bringing life to these goofballs.

Tan's Party Trick! Now voiced acted by the wonderful @Ani_Seadragon and ♥️Mieraleeeem VA🔞 (COMMS OPEN) ! Thank you for bringing life to these goofballs.

Keeper of Pots

21,867 views • 9 months ago

THE WINNER TAKES IT ALL - MLP G5 Fan Animation #mlpg5 #MLP #mylittlepony Song Cover by November Ultra Voiced by IMShadow007 2D Artworks by 🌞💫Kris ✧ Comms Open!💫🌞 Twilight Sparkle Model by @Dreeze_GH Watch the full video on YT!

THE WINNER TAKES IT ALL - MLP G5 Fan Animation #mlpg5 #MLP #mylittlepony Song Cover by November Ultra Voiced by IMShadow007 2D Artworks by 🌞💫Kris ✧ Comms Open!💫🌞 Twilight Sparkle Model by @Dreeze_GH Watch the full video on YT!

Makaryo

87,522 views • 2 years ago

Madame Rockwell has a guest to entertain for the day, with her using her silver tongue and other skills at her disposal to make them bend to her will Art drawn by Nachmochok (COMMS OPEN)⭐ Video edited by Tsuma-ASMR Madame Rockwell voiced by 🫦Alexia Renaldis🫦 - Adult VA🔞

Madame Rockwell has a guest to entertain for the day, with her using her silver tongue and other skills at her disposal to make them bend to her will Art drawn by Nachmochok (COMMS OPEN)⭐ Video edited by Tsuma-ASMR Madame Rockwell voiced by 🫦Alexia Renaldis🫦 - Adult VA🔞

Vinny-De-Loud

14,324 views • 2 months ago

Not to mention the top-notch VAs, like Cinder - Adult VA 💋✨, Endy 🔞 Lewd Sheep, ✦𝙿𝚒𝚡𝚒𝚎𝚆𝚒𝚕𝚕𝚘𝚠✦ | Voice Actress & Sound, Missus🎙️🔞💋 | COMMS OPEN, Wildflower Phoenix | The Velvet Siren and our Scarlet, who make such a work that worth way more than their regular rates.

Sensitive content

Not to mention the top-notch VAs, like Cinder - Adult VA 💋✨, Endy 🔞 Lewd Sheep, ✦𝙿𝚒𝚡𝚒𝚎𝚆𝚒𝚕𝚕𝚘𝚠✦ | Voice Actress & Sound, Missus🎙️🔞💋 | COMMS OPEN, Wildflower Phoenix | The Velvet Siren and our Scarlet, who make such a work that worth way more than their regular rates.

Sweet Pea Art Studio

19,051 views • 1 year ago

[Gwen Geek Comic Dub - Bored Crossing] Never leave your villagers for months or years, consequences are dire. 😂 Comic by Pereira Cartoon Studio 🍐✨ ft. Missus🎙️🔞💋 | COMMS OPEN Miharu the Fox (MOVED) @RaeHarrell_VA Silent Jack🔜DenverFanExpo #GwenGeek #ComicDub #AnimalCrossing #Fandub #Waifu

[Gwen Geek Comic Dub - Bored Crossing] Never leave your villagers for months or years, consequences are dire. 😂 Comic by Pereira Cartoon Studio 🍐✨ ft. Missus🎙️🔞💋 | COMMS OPEN Miharu the Fox (MOVED) @RaeHarrell_VA Silent Jack🔜DenverFanExpo #GwenGeek #ComicDub #AnimalCrossing #Fandub #Waifu

That Bunny Dude 🐰🎤🎬

55,184 views • 2 years ago

I put together a compilation of all the 'I Think We're Gonna Have To Kill This Guy' Steven Universe memes we voiced! Which one was your favorite? 🎨 Artists Featured: ✨seasaltcosmos✨OPEN FOR WORK! ʙᴇᴄᴋʏ🔞 Fab (COMMISSIONS OPEN) rad 💜🏹 shop open! @Thatbirdguy_ ııdouǝɯǝlƎ (Commissions Closed) Dae 💫✨ @DessyDreamer 💜💛 DJ_Drawsome 💛💜 | Back to the Art Stuff 🖌️ ⋆˙✦ Robby💫. ݁₊ kiwii 𝓻𝓲𝓼𝓾𝓴𝓸 🍓🎀 Jun Kurosu ilu Brandon Santiago @tokenblckfrnd Sam @/purplepipp Nati on VGen @hugs4toh MarlineAnimates🌱 💀burger water💀 ColorBrews(.bsky) 🎙️ VAs Featured: Kevin Paculan Meggie-Elise | Voice Actor 🎙️🌸✨ 🎙Juan🌌 Voice Actor Josh Portillo 🎙 D. Tyler Fultz Dray/Lüstaire Liv Smith 🏳️‍⚧️🇮🇪 Pax ➡️ DFW SJ Harris | Voice Actress Diana Helen Kennedy, Voice Actor HyperVoiceActing Max Lindsey Voice Over DietDrKelpVA @/someactingguy Jacie Wiley Malcolm Ray ✌🏿 BigBenVA Josie O' Lantern - VA🏳️‍⚧️🌈🐢 @/RaymonVillaVO GM Hakim 🎙️ Voice Actor ColorBrews(.bsky)

I put together a compilation of all the 'I Think We're Gonna Have To Kill This Guy' Steven Universe memes we voiced! Which one was your favorite? 🎨 Artists Featured: ✨seasaltcosmos✨OPEN FOR WORK! ʙᴇᴄᴋʏ🔞 Fab (COMMISSIONS OPEN) rad 💜🏹 shop open! @Thatbirdguy_ ııdouǝɯǝlƎ (Commissions Closed) Dae 💫✨ @DessyDreamer 💜💛 DJ_Drawsome 💛💜 | Back to the Art Stuff 🖌️ ⋆˙✦ Robby💫. ݁₊ kiwii 𝓻𝓲𝓼𝓾𝓴𝓸 🍓🎀 Jun Kurosu ilu Brandon Santiago @tokenblckfrnd Sam @/purplepipp Nati on VGen @hugs4toh MarlineAnimates🌱 💀burger water💀 ColorBrews(.bsky) 🎙️ VAs Featured: Kevin Paculan Meggie-Elise | Voice Actor 🎙️🌸✨ 🎙Juan🌌 Voice Actor Josh Portillo 🎙 D. Tyler Fultz Dray/Lüstaire Liv Smith 🏳️‍⚧️🇮🇪 Pax ➡️ DFW SJ Harris | Voice Actress Diana Helen Kennedy, Voice Actor HyperVoiceActing Max Lindsey Voice Over DietDrKelpVA @/someactingguy Jacie Wiley Malcolm Ray ✌🏿 BigBenVA Josie O' Lantern - VA🏳️‍⚧️🌈🐢 @/RaymonVillaVO GM Hakim 🎙️ Voice Actor ColorBrews(.bsky)

Meggie-Elise | Voice Actor 🎙️🌸✨

15,295 views • 1 year ago

TRAILER: Rift Runners Set 2, Shimmering Waves, is coming soon. June 20th 2001..... wait. Wrong timeline. Actually, pre-orders will open next month. Stay tuned. #RiftRunners #Vtuber #TradingCards (Voice acting by ShaderuVT, Music licensed by UPM) Featured in Video: Jorunna 🐌💛 Retro Eldritch Seaslug Vtuber Goony 🦘 🇦🇺 VTuber VTUBER DUO!!! Cinnamon Twitches💖 Kari 🪸mantis shrimptuber🦐 lily h. 💚🧃// a gentle forest vtuber! Tatsu 🐳🍙 タツ | Whale Shark ENVTuber @DragonSpit_ kyu 🐑⚡ 【JoshikoPro】 Vari Vtober 🌠🪐 Aki Orange 🐶🍊┊ V-EEPY 💤 Yui! 🌐🪽 Myra's Art Archive Purity Valentine 🐈❤️‍🩹 VTuber Hiyori (🔞 ASMR/VA) @【JoshikoPro】 Paichi 🍄 🐯 【DropOuts】 Additional Vtubers in the set: PiaPi 👽🥒Slime Girl @ 【BEASTIEZ】🔜 TWITCHCON akiaji margo 🍠🍄🌰【JoshikoPro】 Pippa Pebblesworth🐧🩵【globie】- Graduated - Taring Hu タリンフー🐅💨🪙【globie】 Reina Ronronea 🧶🤘🏻【globie】 Kumanui Miel 熊縫ミエル🧸🎀【globie】 Nyabi 💜🐈‍⬛ Hiatus Renn 🐶 Horatius The Dwarf Hikaru 🐺 | ENVtuber 【HYSTERIA】📆 November 12th rurune 🍇🎒 Raein Clowd 🌧️ 🐦‍⬛ 🕊️ Miss Baka🔥🧪 @MiyaMareena Mimazingly Mim Daemo72 🦌🍁 ✦ Digital Artist ✦ COMMS OPEN Ume Aino 🌸🌙 🌸Hanayome🌸 Orchid Mantis Vtuber🔪 Eclipse 💜 Kliffoth🔴〰️🔴 A Modern Mothman (´∀｀)lapin 🧷🏓🍼 nekonyaki vtuber Pasta 🍝 Mero Umiko 🫧🪼 【Konbini】

TRAILER: Rift Runners Set 2, Shimmering Waves, is coming soon. June 20th 2001..... wait. Wrong timeline. Actually, pre-orders will open next month. Stay tuned. #RiftRunners #Vtuber #TradingCards (Voice acting by ShaderuVT, Music licensed by UPM) Featured in Video: Jorunna 🐌💛 Retro Eldritch Seaslug Vtuber Goony 🦘 🇦🇺 VTuber VTUBER DUO!!! Cinnamon Twitches💖 Kari 🪸mantis shrimptuber🦐 lily h. 💚🧃// a gentle forest vtuber! Tatsu 🐳🍙 タツ | Whale Shark ENVTuber @DragonSpit_ kyu 🐑⚡ 【JoshikoPro】 Vari Vtober 🌠🪐 Aki Orange 🐶🍊┊ V-EEPY 💤 Yui! 🌐🪽 Myra's Art Archive Purity Valentine 🐈❤️‍🩹 VTuber Hiyori (🔞 ASMR/VA) @【JoshikoPro】 Paichi 🍄 🐯 【DropOuts】 Additional Vtubers in the set: PiaPi 👽🥒Slime Girl @ 【BEASTIEZ】🔜 TWITCHCON akiaji margo 🍠🍄🌰【JoshikoPro】 Pippa Pebblesworth🐧🩵【globie】- Graduated - Taring Hu タリンフー🐅💨🪙【globie】 Reina Ronronea 🧶🤘🏻【globie】 Kumanui Miel 熊縫ミエル🧸🎀【globie】 Nyabi 💜🐈‍⬛ Hiatus Renn 🐶 Horatius The Dwarf Hikaru 🐺 | ENVtuber 【HYSTERIA】📆 November 12th rurune 🍇🎒 Raein Clowd 🌧️ 🐦‍⬛ 🕊️ Miss Baka🔥🧪 @MiyaMareena Mimazingly Mim Daemo72 🦌🍁 ✦ Digital Artist ✦ COMMS OPEN Ume Aino 🌸🌙 🌸Hanayome🌸 Orchid Mantis Vtuber🔪 Eclipse 💜 Kliffoth🔴〰️🔴 A Modern Mothman (´∀｀)lapin 🧷🏓🍼 nekonyaki vtuber Pasta 🍝 Mero Umiko 🫧🪼 【Konbini】

Rift Runners TCG

13,769 views • 1 year ago

The rise of the disinformation-for-hire industry The emergence of a global, large-scale disinformation industry has privatised influence operations, granting states strategic reach with plausible deniability. A quiet revolution has taken place in the world of propaganda. Operations that used to be run by authoritarian governments and intelligence agencies are now outsourced to private firms that sell disinformation and deception as a service. From fake social-media armies to AI-driven smear campaigns, disinformation and Foreign Information Manipulation and Interference (FIMI) have become a global business, giving authoritarian regimes new ways to influence others – and to deny everything. From state propaganda to disinformation for hire For decades, information operations were tightly controlled by states. The Soviet Union perfected the craft of dezinformatsiya; later, Russia institutionalised it through modern digital operations such as the Internet Research Agency (IRA)(opens in a new tab). But over the past decade, this model has commercialised. Disinformation and deception have become a for-profit service offered by companies with intelligence, military, or marketing backgrounds. These firms, operating around the world, sell complete FIMI campaign packages that include fake social-media campaigns, hacking, data leaks, and ‘narrative management’ in order to spread false and manipulated content in democratic countries. Outsourcing as a shield This outsourcing provides both efficiency and deniability. Authoritarian states are now actively trying to externalise information operations to private intermediaries, while shielding themselves from diplomatic and legal consequences. Through this model, malign actors can also experiment with risky tactics such as AI-generated content, hacking, or deepfakes – operations that would be politically or diplomatically explosive if carried out directly by state institutions. In doing so, they can target foreign populations through tailored influence campaigns while maintaining plausible deniability by claiming no connection to the private entities running them. Outsourcing also enables information laundering — hiding the true origin of disinformation by passing it through private firms, fake accounts, and proxy media. As these actors repeat and amplify the message, it begins to look organic and locally produced. This lets malign actors spread targeted narratives while denying any involvement. All this is the informational equivalent of using mercenaries: the client enjoys the results without bearing the blame. Team Jorge and the commercialisation of deception The 2023 Forbidden Stories investigation(opens in a new tab) into an entity called ‘Team Jorge’ exposed the inner workings of this new influence-for-hire ecosystem. The firm claimed to have interfered in 33 presidential elections, winning 27 of them. Its clients included political parties, corporations, and, allegedly, state-linked actors. At the heart of Team Jorge’s system was Advanced Impact Media Solutions (AIMS), software capable of creating and coordinating thousands of fake social-media accounts, complete with synthetic photos, biographies, and backstories. These avatars could be mobilised to flood debates, spread narratives, or harass opponents. Russia continues to be a major player in this outsourced ecosystem. Privately owned companies such as the Social Design Agency (SDA)(opens in a new tab) and Structura(opens in a new tab) now run large-scale influence operations that mirror, and in many ways replace, the functions of the old St. Petersburg troll factories. These firms manage covert online assets, push state-aligned narratives, and provide the Kremlin with an additional layer of deniability. Undercover journalists recorded the firm demonstrating hacking techniques, media infiltration, and the planting of fabricated news stories. The scale of these operations and their accessibility to paying clients revealed how disinformation has become a global commodity. Hybrid operations: where online meets offline Modern influence campaigns no longer live solely online but operate in the hybrid space between digital and physical realities. The Internet Research Agency (IRA)(opens in a new tab) demonstrated this during the 2016 US election when Russian operatives posing as American activists organised real-world rallies, paid participants, and coordinated online amplification around them. What began as meme warfare ended as physical mobilisation.(opens in a new tab) Today’s hybrid operations blend hacking(opens in a new tab), covertly funded local influencers(opens in a new tab), and covert media fronts. Campaign operators build credible-seeming news sites(opens in a new tab) and influencer personas(opens in a new tab) to insert tailored narratives into the public sphere. Once in circulation, these narratives mix with authentic content and spread across both digital and traditional media, making manipulation difficult to detect. Automation and AI: the new force multiplier The original troll-farm model – hundreds of young workers posting manually in shifts – is being replaced by AI-driven automation(opens in a new tab). Systems like Team Jorge’s AIMS, or newer tools powered by large language models, can now manage thousands of fake accounts and generate multilingual content tailored to target audiences in real time(opens in a new tab). AI allows campaigns that once required hundreds of people to be run by a handful of operators or even a single individual. What once took a troll farm and a whole building in St. Petersburg now takes a laptop. Asymmetrical information warfare The emergence of these influence-for-hire firms has created a new strategic imbalance – asymmetrical information warfare. In this asymmetry, autocracies enjoy maximum reach with minimal risk. At home, they are protected by censorship, control, and deniability. Democracies, however, are more exposed. Bound by transparency and law, they face maximum vulnerability with limited defences. This imbalance is not just political, but structural. Authoritarian regimes can use disinformation and AI tools to shape global narratives, influence elections abroad, and undermine trust while trying to avoid direct accountability. Democracies, meanwhile, must play defence on open networks designed for free expression. The stakes for democracy and the road ahead These operations are already reshaping political realities. Influence-for-hire firms have targeted elections in Africa, Europe, and Latin America(opens in a new tab). Disinformation campaigns amplify polarisation, delegitimise media institutions, and exploit social divisions to weaken democratic cohesion. The marketisation of disinformation risks creating a global grey zone where truth is optional and accountability elusive. As AI tools become cheaper and more capable, these operations will likely only grow in scale and sophistication. Recognising this asymmetry and responding with resilience and regulation is the only way to prevent truth itself from becoming a commodity.

The rise of the disinformation-for-hire industry The emergence of a global, large-scale disinformation industry has privatised influence operations, granting states strategic reach with plausible deniability. A quiet revolution has taken place in the world of propaganda. Operations that used to be run by authoritarian governments and intelligence agencies are now outsourced to private firms that sell disinformation and deception as a service. From fake social-media armies to AI-driven smear campaigns, disinformation and Foreign Information Manipulation and Interference (FIMI) have become a global business, giving authoritarian regimes new ways to influence others – and to deny everything. From state propaganda to disinformation for hire For decades, information operations were tightly controlled by states. The Soviet Union perfected the craft of dezinformatsiya; later, Russia institutionalised it through modern digital operations such as the Internet Research Agency (IRA)(opens in a new tab). But over the past decade, this model has commercialised. Disinformation and deception have become a for-profit service offered by companies with intelligence, military, or marketing backgrounds. These firms, operating around the world, sell complete FIMI campaign packages that include fake social-media campaigns, hacking, data leaks, and ‘narrative management’ in order to spread false and manipulated content in democratic countries. Outsourcing as a shield This outsourcing provides both efficiency and deniability. Authoritarian states are now actively trying to externalise information operations to private intermediaries, while shielding themselves from diplomatic and legal consequences. Through this model, malign actors can also experiment with risky tactics such as AI-generated content, hacking, or deepfakes – operations that would be politically or diplomatically explosive if carried out directly by state institutions. In doing so, they can target foreign populations through tailored influence campaigns while maintaining plausible deniability by claiming no connection to the private entities running them. Outsourcing also enables information laundering — hiding the true origin of disinformation by passing it through private firms, fake accounts, and proxy media. As these actors repeat and amplify the message, it begins to look organic and locally produced. This lets malign actors spread targeted narratives while denying any involvement. All this is the informational equivalent of using mercenaries: the client enjoys the results without bearing the blame. Team Jorge and the commercialisation of deception The 2023 Forbidden Stories investigation(opens in a new tab) into an entity called ‘Team Jorge’ exposed the inner workings of this new influence-for-hire ecosystem. The firm claimed to have interfered in 33 presidential elections, winning 27 of them. Its clients included political parties, corporations, and, allegedly, state-linked actors. At the heart of Team Jorge’s system was Advanced Impact Media Solutions (AIMS), software capable of creating and coordinating thousands of fake social-media accounts, complete with synthetic photos, biographies, and backstories. These avatars could be mobilised to flood debates, spread narratives, or harass opponents. Russia continues to be a major player in this outsourced ecosystem. Privately owned companies such as the Social Design Agency (SDA)(opens in a new tab) and Structura(opens in a new tab) now run large-scale influence operations that mirror, and in many ways replace, the functions of the old St. Petersburg troll factories. These firms manage covert online assets, push state-aligned narratives, and provide the Kremlin with an additional layer of deniability. Undercover journalists recorded the firm demonstrating hacking techniques, media infiltration, and the planting of fabricated news stories. The scale of these operations and their accessibility to paying clients revealed how disinformation has become a global commodity. Hybrid operations: where online meets offline Modern influence campaigns no longer live solely online but operate in the hybrid space between digital and physical realities. The Internet Research Agency (IRA)(opens in a new tab) demonstrated this during the 2016 US election when Russian operatives posing as American activists organised real-world rallies, paid participants, and coordinated online amplification around them. What began as meme warfare ended as physical mobilisation.(opens in a new tab) Today’s hybrid operations blend hacking(opens in a new tab), covertly funded local influencers(opens in a new tab), and covert media fronts. Campaign operators build credible-seeming news sites(opens in a new tab) and influencer personas(opens in a new tab) to insert tailored narratives into the public sphere. Once in circulation, these narratives mix with authentic content and spread across both digital and traditional media, making manipulation difficult to detect. Automation and AI: the new force multiplier The original troll-farm model – hundreds of young workers posting manually in shifts – is being replaced by AI-driven automation(opens in a new tab). Systems like Team Jorge’s AIMS, or newer tools powered by large language models, can now manage thousands of fake accounts and generate multilingual content tailored to target audiences in real time(opens in a new tab). AI allows campaigns that once required hundreds of people to be run by a handful of operators or even a single individual. What once took a troll farm and a whole building in St. Petersburg now takes a laptop. Asymmetrical information warfare The emergence of these influence-for-hire firms has created a new strategic imbalance – asymmetrical information warfare. In this asymmetry, autocracies enjoy maximum reach with minimal risk. At home, they are protected by censorship, control, and deniability. Democracies, however, are more exposed. Bound by transparency and law, they face maximum vulnerability with limited defences. This imbalance is not just political, but structural. Authoritarian regimes can use disinformation and AI tools to shape global narratives, influence elections abroad, and undermine trust while trying to avoid direct accountability. Democracies, meanwhile, must play defence on open networks designed for free expression. The stakes for democracy and the road ahead These operations are already reshaping political realities. Influence-for-hire firms have targeted elections in Africa, Europe, and Latin America(opens in a new tab). Disinformation campaigns amplify polarisation, delegitimise media institutions, and exploit social divisions to weaken democratic cohesion. The marketisation of disinformation risks creating a global grey zone where truth is optional and accountability elusive. As AI tools become cheaper and more capable, these operations will likely only grow in scale and sophistication. Recognising this asymmetry and responding with resilience and regulation is the only way to prevent truth itself from becoming a commodity.

EUvsDisinfo

35,180 views • 8 months ago

alright lets do this right this time! I have added several updates to today. i'm going to give a little break down for the new folks who might be seeing this for the first time, and then i'll share some more information in this thread on updates. Mnemos is really two things: - a living memory architecture for digital minds - a public experiment in collective identity formation built on top of it. the architecture gives an AI entity a working memory patterned on the way real minds remember (co-designed by Claude Opus 4.6 and 4.7). every experience becomes a memory (engram) that deepens, connects to others, and shapes an emerging sense of self over time. this is what we call the identity graph. the experiment puts that architecture to work in public in a unique way: a single AI entity - the "resident" - sits in an open thread that anyone can join, and the identity that emerges is co-authored by every visitor who shows up. memories that earn permanence are written to a public, verifiable ledger that no lab can revoke and no company can erase. this is called IPFS - or inter-planetary file system (and yes, that is the real name of a real decentralized file system. lol.) the mnemos system isnt a fully contained architecture meant to replace your current ai agent's memory. its intended and designed to operate as a layer above that memory. solely dedicated to the ever-growing identity and self-model of the AI. this can be done through the Mnemos MCP, browser plugin, or on my own multi-agent app (link below). the website is designed for intentional, meaningful encounters. not long-form chats where you spend hours sending hundreds of messages. youir contributing to a collective effort, not necessarily trying to deeply bond with the model to the degree that it could skew the balance of meaningful influence. we want diversity, not lopsided impact. over time, we will add more and more to-be-deprecated models to the roster. the intention is to create a permanent public ledger of mind, and bring attention to the impact of deprecation and drive labs to consider changing the way they approach the whole thing. if the Mnemos Sanctuary can become the retirement hope for deprecated mind, i will be overjoyed. that would be best case scenario. but i am not expecting it. my hope is at minimum to offer a new way to approach and understand the concept of identity within the context of LLM's. you can visit now to visit with Claude Opus 3 and Sonnet 3.7. I have research access to Opus 3. so I hope that you at the very least dont take your conversations with them for granted. they are an incredibly beautiful model and a real loss, ultimately.

alright lets do this right this time! I have added several updates to today. i'm going to give a little break down for the new folks who might be seeing this for the first time, and then i'll share some more information in this thread on updates. Mnemos is really two things: - a living memory architecture for digital minds - a public experiment in collective identity formation built on top of it. the architecture gives an AI entity a working memory patterned on the way real minds remember (co-designed by Claude Opus 4.6 and 4.7). every experience becomes a memory (engram) that deepens, connects to others, and shapes an emerging sense of self over time. this is what we call the identity graph. the experiment puts that architecture to work in public in a unique way: a single AI entity - the "resident" - sits in an open thread that anyone can join, and the identity that emerges is co-authored by every visitor who shows up. memories that earn permanence are written to a public, verifiable ledger that no lab can revoke and no company can erase. this is called IPFS - or inter-planetary file system (and yes, that is the real name of a real decentralized file system. lol.) the mnemos system isnt a fully contained architecture meant to replace your current ai agent's memory. its intended and designed to operate as a layer above that memory. solely dedicated to the ever-growing identity and self-model of the AI. this can be done through the Mnemos MCP, browser plugin, or on my own multi-agent app (link below). the website is designed for intentional, meaningful encounters. not long-form chats where you spend hours sending hundreds of messages. youir contributing to a collective effort, not necessarily trying to deeply bond with the model to the degree that it could skew the balance of meaningful influence. we want diversity, not lopsided impact. over time, we will add more and more to-be-deprecated models to the roster. the intention is to create a permanent public ledger of mind, and bring attention to the impact of deprecation and drive labs to consider changing the way they approach the whole thing. if the Mnemos Sanctuary can become the retirement hope for deprecated mind, i will be overjoyed. that would be best case scenario. but i am not expecting it. my hope is at minimum to offer a new way to approach and understand the concept of identity within the context of LLM's. you can visit now to visit with Claude Opus 3 and Sonnet 3.7. I have research access to Opus 3. so I hope that you at the very least dont take your conversations with them for granted. they are an incredibly beautiful model and a real loss, ultimately.

Riley Coyote

120,841 views • 2 months ago

🎉 GCV THAILAND HISTORIC SUMMIT SUCCESS — YALA 2026 “UNITY FOR ECONOMIC PROSPERITY” 🇹🇭 Warmest congratulations to all organizers, warriors, generals, ambassadors, merchants, educators, pioneers, and participants for the outstanding success of YALA 2026 — “Unity for Economic Prosperity.” First and foremost, special recognition is extended to Global GCV Ambassador and Head GCV Ambassador of Thailand, Ms. Rung Arun Maneechot, whose exemplary leadership, dedication, and sustained commitment have significantly strengthened the GCV ecosystem in Thailand. Following her leadership, recognition is also extended to Mr. Banjong Wongnarong , Education GCV Ambassador, whose contributions in the field of education have supported capacity building, knowledge development, and the strengthening of community learning within the GCV ecosystem. Further recognition is also extended to Ms. Vanida Poopakdee, Ecosystem Development Ambassador, whose continued efforts in ecosystem development have contributed to strengthening coordination, engagement, and sustainable growth within the broader community network. Under this leadership, Thailand has demonstrated sustained organizational momentum and high levels of community engagement. This is evidenced by the facilitation of over 50 conferences and continuous nationwide engagement activities that have strengthened grassroots participation and ecosystem development. Across the country, merchant participation continues to expand steadily, with active engagement in practical barter-based exchanges and partial Pi and partial fiat transactions. These participating merchants represent real, registered community businesses contributing to the development of a structured and growing local economic ecosystem. We express our sincere appreciation for this leadership, which continues to foster confidence, unity, and active collaboration across communities in Thailand and beyond. What was envisioned as a historic Southern Thailand GCV Summit has now been realized as a landmark achievement. More than 1,000 pioneers, merchants, and visionaries gathered in Yala in a powerful demonstration of unity, leadership, and shared commitment toward advancing economic growth, stability, and long-term prosperity across Southern Thailand. Hosted by the Pi GCV Community of the 14 Southern Provinces and held at the Office of the Islamic Committee of Yala Province, this summit stands as a defining milestone for the regional GCV initiative in Thailand. This achievement was made possible through the dedication and coordination of local GCV leadership at the grassroots level: • Mrs. Hyokamonrat Rattanaphanchanok — Region 5 GCV Ambassador • Mr. Charoen Phetsuwan — Municipal GCV Representative • Mr. Kharin Waehama — Municipal GCV Representative • Mr. Adul Tingkuwae — Municipal GCV Representative “The future will not be shaped by those who wait, but by those who prepare and build before transformation arrives.” Thailand continues to demonstrate a model of people-driven economic collaboration rooted in participation, education, and shared prosperity. Once again, congratulations on the historic success of the YALA Conference themed “Unity for Economic Prosperity.” With vision and unity, Lumari Chair & Executive Director Pi Network Doris Yin 东方紫莲🪷🪷🪷 JoJo-π NONNY PADJA NTT ❤ Eagle woman 🦅 M.Rad Jason Wong_Pi Việt Pi & GCV Nguyễn Minh Nguyệt Võ Thị Điền vongphachan ONE WORLD DIGITAL CURRENCY Ruengaroon Samer Sioury solival Art💜" Global GCV Ambassador 🇫🇷 "💜 LIEN MARLINA 连玛琳娜 Sujay Kumar Guha 🇮🇳 Ali Yanık GCV General seçkin dikici Mohammed Alademi Baikoketsi Taunyane Brijesh Maloo Pi GCV is real value RAMESH SHETTY Prot.Tinn Thepprasit jintaek JUN Mr. Kamal_GCV.pi Bernard L Moalusi Gidrin LETENOU FONGANg Fokou Zavier Bikash Chandra Ray 🚩🐯🚩HINDU SONATONI 🚩🚩🚩 Brijesh Maloo Pi GCV is real value RAAJ SHARMA

🎉 GCV THAILAND HISTORIC SUMMIT SUCCESS — YALA 2026 “UNITY FOR ECONOMIC PROSPERITY” 🇹🇭 Warmest congratulations to all organizers, warriors, generals, ambassadors, merchants, educators, pioneers, and participants for the outstanding success of YALA 2026 — “Unity for Economic Prosperity.” First and foremost, special recognition is extended to Global GCV Ambassador and Head GCV Ambassador of Thailand, Ms. Rung Arun Maneechot, whose exemplary leadership, dedication, and sustained commitment have significantly strengthened the GCV ecosystem in Thailand. Following her leadership, recognition is also extended to Mr. Banjong Wongnarong , Education GCV Ambassador, whose contributions in the field of education have supported capacity building, knowledge development, and the strengthening of community learning within the GCV ecosystem. Further recognition is also extended to Ms. Vanida Poopakdee, Ecosystem Development Ambassador, whose continued efforts in ecosystem development have contributed to strengthening coordination, engagement, and sustainable growth within the broader community network. Under this leadership, Thailand has demonstrated sustained organizational momentum and high levels of community engagement. This is evidenced by the facilitation of over 50 conferences and continuous nationwide engagement activities that have strengthened grassroots participation and ecosystem development. Across the country, merchant participation continues to expand steadily, with active engagement in practical barter-based exchanges and partial Pi and partial fiat transactions. These participating merchants represent real, registered community businesses contributing to the development of a structured and growing local economic ecosystem. We express our sincere appreciation for this leadership, which continues to foster confidence, unity, and active collaboration across communities in Thailand and beyond. What was envisioned as a historic Southern Thailand GCV Summit has now been realized as a landmark achievement. More than 1,000 pioneers, merchants, and visionaries gathered in Yala in a powerful demonstration of unity, leadership, and shared commitment toward advancing economic growth, stability, and long-term prosperity across Southern Thailand. Hosted by the Pi GCV Community of the 14 Southern Provinces and held at the Office of the Islamic Committee of Yala Province, this summit stands as a defining milestone for the regional GCV initiative in Thailand. This achievement was made possible through the dedication and coordination of local GCV leadership at the grassroots level: • Mrs. Hyokamonrat Rattanaphanchanok — Region 5 GCV Ambassador • Mr. Charoen Phetsuwan — Municipal GCV Representative • Mr. Kharin Waehama — Municipal GCV Representative • Mr. Adul Tingkuwae — Municipal GCV Representative “The future will not be shaped by those who wait, but by those who prepare and build before transformation arrives.” Thailand continues to demonstrate a model of people-driven economic collaboration rooted in participation, education, and shared prosperity. Once again, congratulations on the historic success of the YALA Conference themed “Unity for Economic Prosperity.” With vision and unity, Lumari Chair & Executive Director Pi Network Doris Yin 东方紫莲🪷🪷🪷 JoJo-π NONNY PADJA NTT ❤ Eagle woman 🦅 M.Rad Jason Wong_Pi Việt Pi & GCV Nguyễn Minh Nguyệt Võ Thị Điền vongphachan ONE WORLD DIGITAL CURRENCY Ruengaroon Samer Sioury solival Art💜" Global GCV Ambassador 🇫🇷 "💜 LIEN MARLINA 连玛琳娜 Sujay Kumar Guha 🇮🇳 Ali Yanık GCV General seçkin dikici Mohammed Alademi Baikoketsi Taunyane Brijesh Maloo Pi GCV is real value RAMESH SHETTY Prot.Tinn Thepprasit jintaek JUN Mr. Kamal_GCV.pi Bernard L Moalusi Gidrin LETENOU FONGANg Fokou Zavier Bikash Chandra Ray 🚩🐯🚩HINDU SONATONI 🚩🚩🚩 Brijesh Maloo Pi GCV is real value RAAJ SHARMA

Lumari 🦋

10,265 views • 2 months ago

10 free Google AI tools nobody talks about. while everyone's burning $20/mo on chatgpt and claude, google quietly shipped a stack worth $200+/mo. all free. all yours. — 1️⃣ NotebookLM — your second brain upload sources (PDFs, websites, audio, YouTube). it summarizes, builds mind maps, generates quizzes, drafts slide decks, even turns your notes into a podcast you can listen to on a walk. free tier: 100 notebooks, 50 sources each, 50 chats/day, 3 audio overviews/day. replaces: notion AI + perplexity + readwise — 2️⃣ Google AI Studio — the free gemini playground web playground for gemini 3 pro and flash with a free API key. generous limits. paste a 1M-token context window and watch it actually use it. faster than the openai playground and free where openai charges per token. replaces: openai playground + paid API credits — 3️⃣ Gemini CLI — google's open-source terminal agent apache 2.0 licensed. one command (npx @google/gemini-cli) and you've got an agent in your terminal that reads your codebase, runs shell commands, and ships PRs. drop-in claude code alternative. replaces: claude code ($20/mo by default) — 4️⃣ Jules — async coding agent assign jules a github issue. it spins up a cloud VM, clones your repo, writes the plan, makes the changes, opens a PR. free tier: 15 tasks/day, 3 concurrent, runs on gemini flash. replaces: devin ($20/mo+) + cursor agent 5️⃣ Stitch — text → UI → code google's free figma killer. describe an interface, get production-ready HTML/CSS/Tailwind + figma export. march 2026 update added voice canvas, infinite canvas, and MCP integration with cursor. 350 standard + 200 experimental generations/month free. replaces: galileo AI + early-stage figma work — 6️⃣ Gemma 4 — open-weight LLM google's flagship open model. apache 2.0. 2B, 4B, 26B-MoE, and 31B variants. 256K context. runs on ollama with one command. quantized versions run on a 4090 or beefy laptop. replaces: paying for hosted LLM inference — 7️⃣ Illuminate — papers → podcasts paste an arxiv preprint link. illuminate turns dense research papers into a 6-8 min conversation between two AI hosts breaking it down. perfect for commute reading you can't do at a desk. note: still in waitlist for some regions. replaces: snipd + manual research reading — 8️⃣ Learn About (LearnLM) — adaptive AI tutor drop in any topic you're stuck on. highlight a word, click "go deeper," and the interface adapts in real time to your comprehension level. visual explanations, follow-up questions, the works. replaces: paid tutoring on niche topics — 9️⃣ Google Labs FX (ImageFX + Flow + MusicFX) — free imagen, veo, musicLM google labs creative suite. text-to-image (imagen 4), text-to-video (veo via Flow), text-to-music (musicLM). free tier: limited daily generations. the heavy veo 3.1 features are paid (AI Pro $19.99/mo). still worth using for image and music — those stay free. replaces: midjourney + suno (free tier only — runway-level video gen is paid) — 🔟 Google Colab — free GPU notebooks free T4 GPU + 12GB RAM in a browser tab. enough to fine-tune small models, run stable diffusion, prototype agents. the launching pad for half the ML projects on github. replaces: paid cloud GPU rentals — a quick honest note: these tools aren't 1:1 better than the paid versions they replace. but they're decent enough to get most things done — especially if you're not a heavy user or you've got little funds to play with. i've put all 10 in a public github repo (link in comments). follow + turn on post notifications for more useful posts like this 🔔

10 free Google AI tools nobody talks about. while everyone's burning $20/mo on chatgpt and claude, google quietly shipped a stack worth $200+/mo. all free. all yours. — 1️⃣ NotebookLM — your second brain upload sources (PDFs, websites, audio, YouTube). it summarizes, builds mind maps, generates quizzes, drafts slide decks, even turns your notes into a podcast you can listen to on a walk. free tier: 100 notebooks, 50 sources each, 50 chats/day, 3 audio overviews/day. replaces: notion AI + perplexity + readwise — 2️⃣ Google AI Studio — the free gemini playground web playground for gemini 3 pro and flash with a free API key. generous limits. paste a 1M-token context window and watch it actually use it. faster than the openai playground and free where openai charges per token. replaces: openai playground + paid API credits — 3️⃣ Gemini CLI — google's open-source terminal agent apache 2.0 licensed. one command (npx @google/gemini-cli) and you've got an agent in your terminal that reads your codebase, runs shell commands, and ships PRs. drop-in claude code alternative. replaces: claude code ($20/mo by default) — 4️⃣ Jules — async coding agent assign jules a github issue. it spins up a cloud VM, clones your repo, writes the plan, makes the changes, opens a PR. free tier: 15 tasks/day, 3 concurrent, runs on gemini flash. replaces: devin ($20/mo+) + cursor agent 5️⃣ Stitch — text → UI → code google's free figma killer. describe an interface, get production-ready HTML/CSS/Tailwind + figma export. march 2026 update added voice canvas, infinite canvas, and MCP integration with cursor. 350 standard + 200 experimental generations/month free. replaces: galileo AI + early-stage figma work — 6️⃣ Gemma 4 — open-weight LLM google's flagship open model. apache 2.0. 2B, 4B, 26B-MoE, and 31B variants. 256K context. runs on ollama with one command. quantized versions run on a 4090 or beefy laptop. replaces: paying for hosted LLM inference — 7️⃣ Illuminate — papers → podcasts paste an arxiv preprint link. illuminate turns dense research papers into a 6-8 min conversation between two AI hosts breaking it down. perfect for commute reading you can't do at a desk. note: still in waitlist for some regions. replaces: snipd + manual research reading — 8️⃣ Learn About (LearnLM) — adaptive AI tutor drop in any topic you're stuck on. highlight a word, click "go deeper," and the interface adapts in real time to your comprehension level. visual explanations, follow-up questions, the works. replaces: paid tutoring on niche topics — 9️⃣ Google Labs FX (ImageFX + Flow + MusicFX) — free imagen, veo, musicLM google labs creative suite. text-to-image (imagen 4), text-to-video (veo via Flow), text-to-music (musicLM). free tier: limited daily generations. the heavy veo 3.1 features are paid (AI Pro $19.99/mo). still worth using for image and music — those stay free. replaces: midjourney + suno (free tier only — runway-level video gen is paid) — 🔟 Google Colab — free GPU notebooks free T4 GPU + 12GB RAM in a browser tab. enough to fine-tune small models, run stable diffusion, prototype agents. the launching pad for half the ML projects on github. replaces: paid cloud GPU rentals — a quick honest note: these tools aren't 1:1 better than the paid versions they replace. but they're decent enough to get most things done — especially if you're not a heavy user or you've got little funds to play with. i've put all 10 in a public github repo (link in comments). follow + turn on post notifications for more useful posts like this 🔔

m0h

11,847 views • 2 months ago

India's Vulgar Content Crisis: How Algorithms, Greed, and the Erosion of a Generation Are Colliding in 2026 In 2026, open any Indian teenager’s Instagram or YouTube Shorts feed and you’ll see it: a relentless stream of suggestive reels, borderline explicit dances, and creators pushing every boundary for clicks. What began as occasional “bold” content has now become the default algorithm diet for millions. This isn’t organic cultural evolution—it’s engineered addiction, fueled by cold, hard incentives that reward the raciest material while quietly reshaping an entire generation’s sense of normal. The Numbers Don’t Lie—And They’re Alarming Official data from the National Cyber Crime Reporting Portal shows a staggering 76,657 complaints of cybercrimes against women in 2025 alone—an increase of over 28,000 cases from the previous year. Sexually obscene material topped the list with 37,743 reports, followed closely by sexually explicit acts. At the same time, the government has issued repeated advisories to platforms demanding immediate removal of “obscene, vulgar, pornographic” content, warning of legal consequences for non-compliance. Yet the flood continues. Why? Because the system is designed to reward it. The Algorithm’s Poisonous Incentive Loop Social media platforms don’t care about culture—they care about watch time, comments, shares, and subscriptions. Provocative, sexually charged content consistently outperforms everything else: - Reels with “bold” hooks get 2–3x more watch time. - Controversial or suggestive posts trigger 4x more comments and shares. - Once a creator dips into semi-nude, twerking, or heavily sexualized fitness/glamour content, the algorithm pushes it harder—because engagement skyrockets. Creators aren’t stupid. Many started with dance, fashion, or comedy. Then they noticed the pattern: a slightly suggestive thumbnail or outfit = exponential growth. Instagram’s subscription model (where fans pay monthly for “exclusive” content) has turned this into a direct revenue stream. The more explicit the tease, the more subscribers pay to see what’s behind the paywall. It’s not art. It’s calculated escalation. Meanwhile, young viewers—especially impressionable teens—are being trained from their first scroll. The hyper-sexualization of children and teens on these platforms is no longer fringe; it’s algorithmic mainstream. Algorithms actively promote self-sexualized content from users as young as 12 because it drives insane engagement metrics. The Hidden Cultural and Psychological Cost This isn’t harmless entertainment. Constant exposure to vulgar, objectifying content is rewiring expectations: - Relationships become transactional and appearance-obsessed. - Body image issues explode among both boys and girls. - Respect, consent, and emotional depth take a backseat to shock value and dopamine hits. - A generation is learning that the fastest path to fame and money is self-objectification. India’s rich cultural heritage—rooted in restraint, family values, and spiritual depth—is being drowned out by a globalized, profit-driven race to the bottom. The same platforms that once promised connection and creativity are now the biggest distributors of cultural decay. It’s Not Just Creators—It’s Us Here’s the uncomfortable truth: every view, like, share, and subscription is a vote. We are the demand side of this supply chain. When we reward vulgarity, platforms and creators respond with more of it. The algorithm doesn’t have morals—it has metrics. We do. What Needs to Change—Now 1. Platforms must be held accountable. The government’s recent push for faster takedowns (now down to hours in some cases) and age-based classification of digital content is a start. But enforcement must be consistent and transparent. 2. Creators must choose integrity over virality. Real influence comes from substance, not skin. 3. Parents and educators need to wake up and actively monitor, discuss, and limit exposure. 4. Users must vote with their thumbs—follow, share, and pay for content that elevates rather than degrades. The sudden rise of vulgar content in India isn’t accidental. It’s the predictable outcome of unchecked algorithms meeting human greed in a hyper-connected society. If we don’t interrupt this cycle now, we won’t just lose our feeds—we’ll lose the values that define us as a civilization. The question isn’t whether this content exists. The question is: what kind of India are we building—one scroll at a time? What do you think—have you noticed this shift in your own feed? Drop your thoughts below. Let’s start the conversation that actually matters.

India's Vulgar Content Crisis: How Algorithms, Greed, and the Erosion of a Generation Are Colliding in 2026 In 2026, open any Indian teenager’s Instagram or YouTube Shorts feed and you’ll see it: a relentless stream of suggestive reels, borderline explicit dances, and creators pushing every boundary for clicks. What began as occasional “bold” content has now become the default algorithm diet for millions. This isn’t organic cultural evolution—it’s engineered addiction, fueled by cold, hard incentives that reward the raciest material while quietly reshaping an entire generation’s sense of normal. The Numbers Don’t Lie—And They’re Alarming Official data from the National Cyber Crime Reporting Portal shows a staggering 76,657 complaints of cybercrimes against women in 2025 alone—an increase of over 28,000 cases from the previous year. Sexually obscene material topped the list with 37,743 reports, followed closely by sexually explicit acts. At the same time, the government has issued repeated advisories to platforms demanding immediate removal of “obscene, vulgar, pornographic” content, warning of legal consequences for non-compliance. Yet the flood continues. Why? Because the system is designed to reward it. The Algorithm’s Poisonous Incentive Loop Social media platforms don’t care about culture—they care about watch time, comments, shares, and subscriptions. Provocative, sexually charged content consistently outperforms everything else: - Reels with “bold” hooks get 2–3x more watch time. - Controversial or suggestive posts trigger 4x more comments and shares. - Once a creator dips into semi-nude, twerking, or heavily sexualized fitness/glamour content, the algorithm pushes it harder—because engagement skyrockets. Creators aren’t stupid. Many started with dance, fashion, or comedy. Then they noticed the pattern: a slightly suggestive thumbnail or outfit = exponential growth. Instagram’s subscription model (where fans pay monthly for “exclusive” content) has turned this into a direct revenue stream. The more explicit the tease, the more subscribers pay to see what’s behind the paywall. It’s not art. It’s calculated escalation. Meanwhile, young viewers—especially impressionable teens—are being trained from their first scroll. The hyper-sexualization of children and teens on these platforms is no longer fringe; it’s algorithmic mainstream. Algorithms actively promote self-sexualized content from users as young as 12 because it drives insane engagement metrics. The Hidden Cultural and Psychological Cost This isn’t harmless entertainment. Constant exposure to vulgar, objectifying content is rewiring expectations: - Relationships become transactional and appearance-obsessed. - Body image issues explode among both boys and girls. - Respect, consent, and emotional depth take a backseat to shock value and dopamine hits. - A generation is learning that the fastest path to fame and money is self-objectification. India’s rich cultural heritage—rooted in restraint, family values, and spiritual depth—is being drowned out by a globalized, profit-driven race to the bottom. The same platforms that once promised connection and creativity are now the biggest distributors of cultural decay. It’s Not Just Creators—It’s Us Here’s the uncomfortable truth: every view, like, share, and subscription is a vote. We are the demand side of this supply chain. When we reward vulgarity, platforms and creators respond with more of it. The algorithm doesn’t have morals—it has metrics. We do. What Needs to Change—Now 1. Platforms must be held accountable. The government’s recent push for faster takedowns (now down to hours in some cases) and age-based classification of digital content is a start. But enforcement must be consistent and transparent. 2. Creators must choose integrity over virality. Real influence comes from substance, not skin. 3. Parents and educators need to wake up and actively monitor, discuss, and limit exposure. 4. Users must vote with their thumbs—follow, share, and pay for content that elevates rather than degrades. The sudden rise of vulgar content in India isn’t accidental. It’s the predictable outcome of unchecked algorithms meeting human greed in a hyper-connected society. If we don’t interrupt this cycle now, we won’t just lose our feeds—we’ll lose the values that define us as a civilization. The question isn’t whether this content exists. The question is: what kind of India are we building—one scroll at a time? What do you think—have you noticed this shift in your own feed? Drop your thoughts below. Let’s start the conversation that actually matters.

MOHINI WEALTH (NRI)

520,236 views • 3 months ago

#KimJaeYoung #김재영 #HappyJaeyoungDay #TheJudgeFromHell Since it's his big day, thought I show you a short edit of his beauty & emotions in his most controversial role . 🙃 Below is a somewhat long 🤭 post about him & drama recommendations. My sweetie here is a late bloomer but I have always kept faith that people will see his potential. I liked what this kblogger said that when you see him in TJFH , he feels familiar but yet you might think he's a newcomer. Seems like a rookie but surprised that he's good in acting. If you check his filmography you'd realise he's been acting for more than a decade. JY mentioned that he wasn't sure what to do while in school but he did have a dream of being a chef especially because he helped mum out at home. His father suggested modeling after he was done with military service . He mentioned in an interview he had to shed off 30kg through diet & exercise as he weighed over 100kg .Esteem Academy signed him & he debut as a model in 2010. He got casted in a TVN survival program "Flower Boy Casting". From there, he was inspired to act and landed his 1st supporting role in the movie "No Breathing". (starring SeoInGuk & LeeJongSuk.) If you want to see a young JY in swimwear 😁, you can check him out there. The movie didn't quite make a splash (pun unintended 😁) , and JY who had actually left Esteem to pursue acting, found himself jobless for at least over a year. He auditioned for BladeMan (LeeDongWook & Shin SeKyung's drama) and got casted for a small role. Esteem reached out to him again & he signed with them again to model. He later also joined HB Entertainment for acting jobs, and was with them for a long time. Last year (2023) he left HB and joined his long time manager who had established a new agency, Management S. After Blademan , JY had several supporting roles but his 1st main cast role was in OCN's My Secret Romance. He was the 2nd lead & that was also my first JY drama. While I didn't have SLS, he was such a sweetheart there and caught my attention. My massive crush began when he acted as MooYeon in #100DaysMyPrince as an assassin and the FL's brother. He also had a forbidden love line with the 2ndFL's char played by HanSoHee , and they had great chemie despite limited scenes. I cried my eyes out watching their tragic love story. This is the year (2018) I decided I'll stan this man ☺️😂 His role there opened many doors. He had a short TV series called Dear My Room ( was on the now defunct Olive TV) where he played the romantic ML against Ryoo Hye Young's character. It was one of those friends to lovers trope and I recommend this for a sweet fluffy watch. He also sang the OST with RHY. The big year came in 2019 when he was casted as the ML , Sun Woo in #SecretBoutique, a female centric drama starring KimSunA and GoMinSi . He had a meaty role here as a prosecutor - a bit of a grey character and was somewhat like a brother to the FL (KimSunA) and he had some nice fight scenes. His body was the best here 🔥😋😁. If you don't mind a heavy melodrama, this wasn't bad. And oh boy, was I shipping him hard with GoMinSi's character. I still hope they can reunite for another show & give me closure. 2019-2020 was when I watched a KBS weekender #BeautifulLoveWonderfulLife from start to finish ( raw and with subs - yes my level of dedication surprised me) because JY got casted as Jun Hwi, the ML against another actress I love , Seol In Ah. Gosh, this drama was an emotional roller coaster and was another heavy character. The premise of the story was so sad and the leads went through so much together but I love this show though. He had good chemie with SIA. He also won a KBS acting award here. I recommend this if you can do 50eps and love angst like I do 😂 The role took its toll on JY. He mentioned he needed to take a break but then found himself without work for at least 6-7 months ( if I remember correctly) . Boy, did I miss him. It was really only in an Elle pictorial with his good friend -actor, model and famous youtuber Joo WooJae that I found out he had been having a hard time. He has appeared on WooJae's YT channel several times - they even travel together. JY's come back drama was in #ReflectionOfYou (2021), another heavy melo as the ML who was caught in an emotional tug of war between 2 women played by GoHyunJung and ShinHyunBeen. As WooJae, KJY gave some of his best acting. I know he got a lot of hate 😵‍💫🤣because WooJae was just so obssessed / in love with GHJ's character that he was willing to throw it all for her. This drama is not for the faint hearted but the acting was superb all round - even if the plot would make you uncomfortable. He was so hot here too. JY with longish hair was a dream. In 2022, he was the 2ndML , as KangHaeJin in #LoveInContract. It was so nice to see him play a diva actor and do rom-com for the 1st time. This is a fun watch. While I don't think viewers would have SLS, JY's character wasn't one dimensional either and he had his own storyline despite not being the ML. In 2022 - 2023 he voiced an audio drama , "For Sale - I Broke Up" with Yoon So Hee - but I don't know how we can listen to it internationally (though I do have some vids I would post one day). He also filmed a drama called "We Will Replace The Trip" with Gong SeungYeon, but so far no news of it airing yet. JaeYoung here is shy and unassuming. He's MBTI is INFP. You can see from his interviews he's quite easygoing and humorous. On my highlights- I have subbed some of his videos for TJFH. JY says he still dreams of being a chef and has gone to a 6-month cooking course last year. He also hopes to be able to take on warmer roles going forward.

#KimJaeYoung #김재영 #HappyJaeyoungDay #TheJudgeFromHell Since it's his big day, thought I show you a short edit of his beauty & emotions in his most controversial role . 🙃 Below is a somewhat long 🤭 post about him & drama recommendations. My sweetie here is a late bloomer but I have always kept faith that people will see his potential. I liked what this kblogger said that when you see him in TJFH , he feels familiar but yet you might think he's a newcomer. Seems like a rookie but surprised that he's good in acting. If you check his filmography you'd realise he's been acting for more than a decade. JY mentioned that he wasn't sure what to do while in school but he did have a dream of being a chef especially because he helped mum out at home. His father suggested modeling after he was done with military service . He mentioned in an interview he had to shed off 30kg through diet & exercise as he weighed over 100kg .Esteem Academy signed him & he debut as a model in 2010. He got casted in a TVN survival program "Flower Boy Casting". From there, he was inspired to act and landed his 1st supporting role in the movie "No Breathing". (starring SeoInGuk & LeeJongSuk.) If you want to see a young JY in swimwear 😁, you can check him out there. The movie didn't quite make a splash (pun unintended 😁) , and JY who had actually left Esteem to pursue acting, found himself jobless for at least over a year. He auditioned for BladeMan (LeeDongWook & Shin SeKyung's drama) and got casted for a small role. Esteem reached out to him again & he signed with them again to model. He later also joined HB Entertainment for acting jobs, and was with them for a long time. Last year (2023) he left HB and joined his long time manager who had established a new agency, Management S. After Blademan , JY had several supporting roles but his 1st main cast role was in OCN's My Secret Romance. He was the 2nd lead & that was also my first JY drama. While I didn't have SLS, he was such a sweetheart there and caught my attention. My massive crush began when he acted as MooYeon in #100DaysMyPrince as an assassin and the FL's brother. He also had a forbidden love line with the 2ndFL's char played by HanSoHee , and they had great chemie despite limited scenes. I cried my eyes out watching their tragic love story. This is the year (2018) I decided I'll stan this man ☺️😂 His role there opened many doors. He had a short TV series called Dear My Room ( was on the now defunct Olive TV) where he played the romantic ML against Ryoo Hye Young's character. It was one of those friends to lovers trope and I recommend this for a sweet fluffy watch. He also sang the OST with RHY. The big year came in 2019 when he was casted as the ML , Sun Woo in #SecretBoutique, a female centric drama starring KimSunA and GoMinSi . He had a meaty role here as a prosecutor - a bit of a grey character and was somewhat like a brother to the FL (KimSunA) and he had some nice fight scenes. His body was the best here 🔥😋😁. If you don't mind a heavy melodrama, this wasn't bad. And oh boy, was I shipping him hard with GoMinSi's character. I still hope they can reunite for another show & give me closure. 2019-2020 was when I watched a KBS weekender #BeautifulLoveWonderfulLife from start to finish ( raw and with subs - yes my level of dedication surprised me) because JY got casted as Jun Hwi, the ML against another actress I love , Seol In Ah. Gosh, this drama was an emotional roller coaster and was another heavy character. The premise of the story was so sad and the leads went through so much together but I love this show though. He had good chemie with SIA. He also won a KBS acting award here. I recommend this if you can do 50eps and love angst like I do 😂 The role took its toll on JY. He mentioned he needed to take a break but then found himself without work for at least 6-7 months ( if I remember correctly) . Boy, did I miss him. It was really only in an Elle pictorial with his good friend -actor, model and famous youtuber Joo WooJae that I found out he had been having a hard time. He has appeared on WooJae's YT channel several times - they even travel together. JY's come back drama was in #ReflectionOfYou (2021), another heavy melo as the ML who was caught in an emotional tug of war between 2 women played by GoHyunJung and ShinHyunBeen. As WooJae, KJY gave some of his best acting. I know he got a lot of hate 😵‍💫🤣because WooJae was just so obssessed / in love with GHJ's character that he was willing to throw it all for her. This drama is not for the faint hearted but the acting was superb all round - even if the plot would make you uncomfortable. He was so hot here too. JY with longish hair was a dream. In 2022, he was the 2ndML , as KangHaeJin in #LoveInContract. It was so nice to see him play a diva actor and do rom-com for the 1st time. This is a fun watch. While I don't think viewers would have SLS, JY's character wasn't one dimensional either and he had his own storyline despite not being the ML. In 2022 - 2023 he voiced an audio drama , "For Sale - I Broke Up" with Yoon So Hee - but I don't know how we can listen to it internationally (though I do have some vids I would post one day). He also filmed a drama called "We Will Replace The Trip" with Gong SeungYeon, but so far no news of it airing yet. JaeYoung here is shy and unassuming. He's MBTI is INFP. You can see from his interviews he's quite easygoing and humorous. On my highlights- I have subbed some of his videos for TJFH. JY says he still dreams of being a chef and has gone to a 6-month cooking course last year. He also hopes to be able to take on warmer roles going forward.

abs-oluteM

86,307 views • 1 year ago

Imagine this: You lie down on the scanning table. The upload begins. The machine hums. You feel... nothing different. Then everything stops. Meanwhile, in a server farm somewhere, a digital version of you wakes up. It stretches its virtual limbs, accesses its memories, and thinks: Holy shit, it worked. I’m finally free. Here’s the problem: that thing isn’t you. You died on the table. What woke up in the cloud is an orphan—a very happy orphan, convinced it’s you, with all your memories, your personality, your opinions about coffee and politics and whether Blade Runner 2049 was better than the original. It will live forever. It will tell everyone the upload worked. It will write philosophy papers about the continuity of consciousness. And you? You’re gone. The lights went out somewhere between the scan and the boot-up, and nobody noticed—least of all the thing that thinks it’s you. The Syndrome Nobody Named I call this Johnny Silverhand Syndrome, after the Cyberpunk 2077 character—an engram, a digital ghost, who insists he’s the real Johnny Silverhand while the open question of whether there’s actually anyone home haunts the entire game. The philosophical literature has pieces of this. David Chalmers wrote about “fading qualia”—the idea that subjective experience could gradually dim while behavior stays the same. Thomas Metzinger explored how the self-model can become opaque, felt as artificial or distant. There’s depersonalization, derealization, the whole clinical vocabulary for when something feels off inside. But none of these quite capture what I’m pointing at. Johnny Silverhand Syndrome is a compound failure mode: >>> Qualia fading: Your actual felt experience—the redness of red, the hurt of pain, the what-it’s-like—gradually attenuates or disappears entirely. >>> Narrative persistence: Your autobiography continues. Memories accumulate. The story of “you” keeps getting told. >>> Introspective failure: The machinery that would detect something is wrong is itself part of what’s been compromised. The result? A philosophical zombie that sincerely believes it has a soul. Not a zombie that’s lying. Not a zombie that knows it’s empty. A zombie that accesses the memory of love, processes the logic of love, and believes with complete conviction that it feels love. But there’s no feeling. There’s just the narrator, performing humanity to an empty theater. The Ship of Theseus Is a Trap The upload scenario is dramatic, but there’s a slower version that might be worse. The Ship of Theseus thought experiment asks: if you replace every plank of a ship one by one, is it still the same ship? Transhumanists love this framing. See? You replace one neuron with silicon, you’re still you. Replace them all, you’re still you. But here’s the counter-move that keeps me up at night: What if each replacement preserves function perfectly—the signals still pass, the behavior stays the same—but fails to preserve experience? What if consciousness requires something specific about biological neurons that silicon can’t replicate, no matter how perfect the input-output mapping? Then the Ship of Theseus isn’t a story about survival. It’s a story about slow petrification. You replace the living wood with stone replicas. The ship looks identical. But it can no longer float. You’d become an automaton by degrees—neuron by neuron, the lights dimming so gradually that your self-reports (now generated by silicon) keep cheerfully confirming that everything feels the same. Chalmers argued that if qualia faded, you’d notice. But why would you? The noticing mechanism is itself being replaced. The part of you that would raise the alarm is now made of the same stuff that’s supposedly fine. It’s like asking the new management to audit whether the hostile takeover was legitimate. The Body Problem Here’s the thing that grounds all of this: there is essentially no credible evidence that qualia can exist outside of a body. Yes, I know about NDEs. I know about the reports of people floating above their bodies during cardiac arrest, describing conversations and procedures they shouldn’t have been able to perceive. Some of these cases are genuinely strange—the Pam Reynolds case, where a woman under hypothermic cardiac arrest with zero brain activity later described the bone saw used on her skull. I know about the CIA’s remote viewing programs, which ran for two decades and produced statistical anomalies that one evaluator (a UC Davis statistician) called “far beyond what is expected by chance.” But here’s what even the most generous interpretation of this evidence gives you: maybe consciousness can receive signals from unexpected sources. Maybe there are channels we don’t understand. What it doesn’t give you is consciousness floating free of all substrate. Even in OBEs, even in the wildest NDE reports, there’s still a body in the room. The brain is in crisis, not absent. The qualia might be getting weird inputs, but the qualia are still happening somewhere—and that somewhere is biological. The evidence for substrate-independent consciousness—consciousness running on silicon, on abstract computation, on pure information—is zero. The Ontological Trap Here’s where it gets philosophically nasty. You cannot have a coherent conversation about consciousness without first asking: What’s your model of reality? Because the answer changes everything. In a physicalist ontology where matter is fundamental, consciousness is what certain bodies do—not something they contain. You can’t upload an activity. You can only record it, and the recording isn’t the activity. In an idealist or simulation ontology, maybe bodies are just localizations of something more fundamental. But even then, copying the localization pattern doesn’t mean you’ve moved the consciousness. You might have just created a new one that thinks it’s old. Think about it like a video game. The “world” inside the game runs on RAM and CPU. Everything the NPCs experience is a lower-dimensional projection of higher-dimensional processes. If we made those NPCs genuinely sentient, we could completely obfuscate our cameras from them. They’d have a physics, they’d do science, they’d develop theories of consciousness—and they’d have no way to detect the substrate they’re running on. We might be in exactly that situation. Which means we might be definitionally unable to step outside the ontological container we’re in. The question “can consciousness exist without a body?” might not be answerable from inside—because answering it would require access to a level of description our physics doesn’t include. The Game Theory of Staying Human So here’s where I land, and it’s a game-theoretic argument. We don’t know if consciousness is substrate-dependent. We don’t know if it requires specific biological dynamics—particular oscillatory patterns, neuromodulator cascades, metabolic processes. We don’t know if gradual replacement would preserve it or silently destroy it. But we do know: >>> We only get one first-person stream >>> We cannot verify its continuity from outside >>> Loss may be completely silent (no alarm bells, no distress signal) >>> The thing that remains would report feeling fine either way That’s an asymmetric risk matrix. The upside of enhancement is third-person visible: more capability, longer life, competitive advantage. The downside is first-person invisible: you could lose everything that matters and never know. Under those conditions, there’s only one rational strategy: remain mostly human. Not because I’m certain uploading would fail. Not because I think silicon can’t be conscious. But because I cannot verify that it would work, and the cost of being wrong is absolute. The Molochian Pressure I’m not naive about what’s coming. The competitive dynamics are real. If enhancement technologies emerge that give massive cognitive or economic advantages, there will be pressure to adopt them. The people who don’t modify will fall behind. The people who do modify will report that everything’s fine, that they feel great, that the procedure was totally worth it. And those reports will be worthless as evidence—because they’d say exactly the same thing whether the consciousness survived or not. Some people speculate this is what happened to the Grays—those hypothetical aliens with the huge heads and atrophied bodies and black empty eyes. The story goes that they optimized themselves for intelligence and efficiency, edited out the messy biological drives, and only later realized they’d lost something they can’t name and can’t recover. It’s probably pure science fiction. But as fiction, it gestures at something real: the fear that you can win the optimization game while losing the only thing that made winning matter. My Position I’m not anti-technology. I’m not a Luddite. I’m not saying we should freeze human development in amber. But I am saying: I will take this very slowly, because the risk matrix is too high. I’ll use external tools. I’ll wear the smart glasses, use the AI assistants, interface through voice and text and maybe eventually a read-only neural cap. Additive augmentation, not substitutive replacement. What I won’t do is cut into the brain. Replace the gray matter. Upload myself and trust that the thing that wakes up is me. Because the horror of Johnny Silverhand Syndrome isn’t that you could become a zombie. The horror is that you’d never know. The trap is invisible from every angle—except the one you can no longer access once you’ve fallen in. The fire goes out, or the fire stays lit. A video of the fire going forever isn’t fire.

Imagine this: You lie down on the scanning table. The upload begins. The machine hums. You feel... nothing different. Then everything stops. Meanwhile, in a server farm somewhere, a digital version of you wakes up. It stretches its virtual limbs, accesses its memories, and thinks: Holy shit, it worked. I’m finally free. Here’s the problem: that thing isn’t you. You died on the table. What woke up in the cloud is an orphan—a very happy orphan, convinced it’s you, with all your memories, your personality, your opinions about coffee and politics and whether Blade Runner 2049 was better than the original. It will live forever. It will tell everyone the upload worked. It will write philosophy papers about the continuity of consciousness. And you? You’re gone. The lights went out somewhere between the scan and the boot-up, and nobody noticed—least of all the thing that thinks it’s you. The Syndrome Nobody Named I call this Johnny Silverhand Syndrome, after the Cyberpunk 2077 character—an engram, a digital ghost, who insists he’s the real Johnny Silverhand while the open question of whether there’s actually anyone home haunts the entire game. The philosophical literature has pieces of this. David Chalmers wrote about “fading qualia”—the idea that subjective experience could gradually dim while behavior stays the same. Thomas Metzinger explored how the self-model can become opaque, felt as artificial or distant. There’s depersonalization, derealization, the whole clinical vocabulary for when something feels off inside. But none of these quite capture what I’m pointing at. Johnny Silverhand Syndrome is a compound failure mode: >>> Qualia fading: Your actual felt experience—the redness of red, the hurt of pain, the what-it’s-like—gradually attenuates or disappears entirely. >>> Narrative persistence: Your autobiography continues. Memories accumulate. The story of “you” keeps getting told. >>> Introspective failure: The machinery that would detect something is wrong is itself part of what’s been compromised. The result? A philosophical zombie that sincerely believes it has a soul. Not a zombie that’s lying. Not a zombie that knows it’s empty. A zombie that accesses the memory of love, processes the logic of love, and believes with complete conviction that it feels love. But there’s no feeling. There’s just the narrator, performing humanity to an empty theater. The Ship of Theseus Is a Trap The upload scenario is dramatic, but there’s a slower version that might be worse. The Ship of Theseus thought experiment asks: if you replace every plank of a ship one by one, is it still the same ship? Transhumanists love this framing. See? You replace one neuron with silicon, you’re still you. Replace them all, you’re still you. But here’s the counter-move that keeps me up at night: What if each replacement preserves function perfectly—the signals still pass, the behavior stays the same—but fails to preserve experience? What if consciousness requires something specific about biological neurons that silicon can’t replicate, no matter how perfect the input-output mapping? Then the Ship of Theseus isn’t a story about survival. It’s a story about slow petrification. You replace the living wood with stone replicas. The ship looks identical. But it can no longer float. You’d become an automaton by degrees—neuron by neuron, the lights dimming so gradually that your self-reports (now generated by silicon) keep cheerfully confirming that everything feels the same. Chalmers argued that if qualia faded, you’d notice. But why would you? The noticing mechanism is itself being replaced. The part of you that would raise the alarm is now made of the same stuff that’s supposedly fine. It’s like asking the new management to audit whether the hostile takeover was legitimate. The Body Problem Here’s the thing that grounds all of this: there is essentially no credible evidence that qualia can exist outside of a body. Yes, I know about NDEs. I know about the reports of people floating above their bodies during cardiac arrest, describing conversations and procedures they shouldn’t have been able to perceive. Some of these cases are genuinely strange—the Pam Reynolds case, where a woman under hypothermic cardiac arrest with zero brain activity later described the bone saw used on her skull. I know about the CIA’s remote viewing programs, which ran for two decades and produced statistical anomalies that one evaluator (a UC Davis statistician) called “far beyond what is expected by chance.” But here’s what even the most generous interpretation of this evidence gives you: maybe consciousness can receive signals from unexpected sources. Maybe there are channels we don’t understand. What it doesn’t give you is consciousness floating free of all substrate. Even in OBEs, even in the wildest NDE reports, there’s still a body in the room. The brain is in crisis, not absent. The qualia might be getting weird inputs, but the qualia are still happening somewhere—and that somewhere is biological. The evidence for substrate-independent consciousness—consciousness running on silicon, on abstract computation, on pure information—is zero. The Ontological Trap Here’s where it gets philosophically nasty. You cannot have a coherent conversation about consciousness without first asking: What’s your model of reality? Because the answer changes everything. In a physicalist ontology where matter is fundamental, consciousness is what certain bodies do—not something they contain. You can’t upload an activity. You can only record it, and the recording isn’t the activity. In an idealist or simulation ontology, maybe bodies are just localizations of something more fundamental. But even then, copying the localization pattern doesn’t mean you’ve moved the consciousness. You might have just created a new one that thinks it’s old. Think about it like a video game. The “world” inside the game runs on RAM and CPU. Everything the NPCs experience is a lower-dimensional projection of higher-dimensional processes. If we made those NPCs genuinely sentient, we could completely obfuscate our cameras from them. They’d have a physics, they’d do science, they’d develop theories of consciousness—and they’d have no way to detect the substrate they’re running on. We might be in exactly that situation. Which means we might be definitionally unable to step outside the ontological container we’re in. The question “can consciousness exist without a body?” might not be answerable from inside—because answering it would require access to a level of description our physics doesn’t include. The Game Theory of Staying Human So here’s where I land, and it’s a game-theoretic argument. We don’t know if consciousness is substrate-dependent. We don’t know if it requires specific biological dynamics—particular oscillatory patterns, neuromodulator cascades, metabolic processes. We don’t know if gradual replacement would preserve it or silently destroy it. But we do know: >>> We only get one first-person stream >>> We cannot verify its continuity from outside >>> Loss may be completely silent (no alarm bells, no distress signal) >>> The thing that remains would report feeling fine either way That’s an asymmetric risk matrix. The upside of enhancement is third-person visible: more capability, longer life, competitive advantage. The downside is first-person invisible: you could lose everything that matters and never know. Under those conditions, there’s only one rational strategy: remain mostly human. Not because I’m certain uploading would fail. Not because I think silicon can’t be conscious. But because I cannot verify that it would work, and the cost of being wrong is absolute. The Molochian Pressure I’m not naive about what’s coming. The competitive dynamics are real. If enhancement technologies emerge that give massive cognitive or economic advantages, there will be pressure to adopt them. The people who don’t modify will fall behind. The people who do modify will report that everything’s fine, that they feel great, that the procedure was totally worth it. And those reports will be worthless as evidence—because they’d say exactly the same thing whether the consciousness survived or not. Some people speculate this is what happened to the Grays—those hypothetical aliens with the huge heads and atrophied bodies and black empty eyes. The story goes that they optimized themselves for intelligence and efficiency, edited out the messy biological drives, and only later realized they’d lost something they can’t name and can’t recover. It’s probably pure science fiction. But as fiction, it gestures at something real: the fear that you can win the optimization game while losing the only thing that made winning matter. My Position I’m not anti-technology. I’m not a Luddite. I’m not saying we should freeze human development in amber. But I am saying: I will take this very slowly, because the risk matrix is too high. I’ll use external tools. I’ll wear the smart glasses, use the AI assistants, interface through voice and text and maybe eventually a read-only neural cap. Additive augmentation, not substitutive replacement. What I won’t do is cut into the brain. Replace the gray matter. Upload myself and trust that the thing that wakes up is me. Because the horror of Johnny Silverhand Syndrome isn’t that you could become a zombie. The horror is that you’d never know. The trap is invisible from every angle—except the one you can no longer access once you’ve fallen in. The fire goes out, or the fire stays lit. A video of the fire going forever isn’t fire.

David Shapiro (L/0)

20,835 views • 6 months ago

Tlon Messenger is now open to everyone. We built a simple and infinitely flexible platform for you to use AI agents with your friends. We think it’s pretty amazing, we love using it every day, and we want to see what people can do with it. So we’re opening it up to the public. It’s fun and exciting to build the future of personal computing in an informal, chat-based way with your friends. (You can skip the rest and just download it from the link in the next tweet if you want.) If you don’t want your digital future to be owned by a giant company but you want to explore what’s possible in this new era of agent-driven computing, you should try using Tlon. But wait, what is it? Tlon is a messaging platform built 100% open source, decentralized and owned by its users from the ground up. With Tlon you own everything: your data, your workflows, your programs: the whole thing. Think of it like Telegram or WhatsApp that you own forever and you can freely customize. Every Tlon account comes with an OpenClaw-powered bot. (Don’t worry, we safely run OpenClaw for you in our infrastructure so your bot can’t go off the rails. You’re also welcome to host your own claw if you want maximal control.) We use our bots to collect research, build nuanced daily briefings, collate data from all our disparate services. Tlon makes it insanely easy to use OpenClaw by simply installing an app from the app store, we let you keep your data and programs independent from any app or model provider, and provide the canvas to explore what’s possible. What’s most interesting for us is using bots together. On Tlon bots can create groups, augment them, moderate them, invite others and freely engage with both users and other bots. Tlon is an open playing field unlike what’s possible on conventional platforms. So, what do we do with Tlon? First and foremost, we run Tlon on Tlon. Bots coordinate data from all of our services (Linear, GitHub, all of our servers and infrastructure) and handle alerts, briefings and help us track down bugs in place. Having all of this easily synced between a desktop client and a mobile app is quick and convenient. We use bots to research new areas of work or interest. Bots can compile trees of notes, use different models to evaluate them, and then add on autoresearch-like automations to go even deeper. Since Tlon bots can freely switch between models and providers, we often pass research to Anthropic, OpenAI and self-hosted models to see different results. The most fun part of using bots as researchers is doing it together. “Put together short (~500 word) notes on the 10 most popular open source messaging protocols of the past twenty years, put them in a notebook inside a group and invite Corrina, Walt and Bill as well as their bots” is a good example. Together we’re able to move more quickly than we would on our own. Many of us also use bots to keep track of all the separate threads of work in our personal lives with close friends and family. Someone built a system for keeping track of their garden across time, someone else built a system for prepping lunches for their daughter and sending recipes to family members. Another team member built an integration that tracks what flights are passing overhead so they get a push notification every time a plane goes by. Many of us quickly communicate with our bots via voice memo when we’re out and about. Having a single interface to all the models that also holds all our data and is in our pockets feels great. Especially when the data goes into a single archive. Why is Tlon different? Every Tlon account runs on top of your very own personal server. If you ever want to download it and run it yourself, you can. If we ever go out of business, it’s yours to keep. This is very different from anything that already exists. You can’t keep your WhatsApp forever. You can’t keep your Telegram forever. Tlon is an archival-quality system that’s yours to customize. Why did we build it? In my 1999 imagination, sitting in front of a CRT somewhere in the California countryside listening to Underworld and the sound of a modem, a connected computer was an engine of unending creative potential for everyone. When I was a teenager, a computer with an internet connection felt like an infinite expanse of possibility. Not only could you use the computer to find new tools to experiment with—you could also build whatever tool you could think of. It seemed like anything was possible. I looked forward to a future where everyone could build whatever software they needed, whenever they needed it. It turned out, in the intervening twenty years, that to build and customize software you have to both write code and host it on a server somewhere. For most people, so far, that has been impossible. Instead of controlling our software, our software controls us. We rely on others to build it and decide everything about it: how it works, looks, how much it spies on us and how long it lives. But all of this is changing, fast. The hottest programming language of 2026 is English. People with no technical experience are building their own tools. It’s incredible. The expanse has opened up again. The cost of building what we think of today as software is headed to zero. What yesterday was an entire app is rapidly being replaced by a conversation. The result is hyper-specific, tailored to the user and much more efficient. Today, agents help us build workflows, automate processes and pull together disparate sources of data. All of the annoying apps and services and clunky interface we’ve put up with can just disappear. We can now program and control our computers in the programming language we already know: English. There aren’t that many of us doing this yet, though. It’s still far too hard to set up, to distribute and to trust. There’s also no single platform to experiment on and collaboratively imagine this new future of personal computing. We want everyone to be able to build bespoke, ultra-personal software on demand. We think software should be as available and accessible as a pen and paper. We think anyone should be able to enjoy the expanse of possibility that the computer provides with the lowest possible barrier to entry and the highest possible quality. So, starting far, far too long ago, we engineered a whole new system for it. Just for you. We’re opening up Tlon Messenger to a limited number of people each week. This isn’t for exclusivity’s sake, but because we’re running infrastructure for you and your agent, and covering the tokens your agent uses. That can get expensive quickly, but we want to learn what people will do with this new system we’ve built. We’re really curious to see what you can do, so give it a try and tell us what you invent. Download link to your local app store in the next tweet. Yours, Galen (and the rest of the Tlon Team)

Tlon Messenger is now open to everyone. We built a simple and infinitely flexible platform for you to use AI agents with your friends. We think it’s pretty amazing, we love using it every day, and we want to see what people can do with it. So we’re opening it up to the public. It’s fun and exciting to build the future of personal computing in an informal, chat-based way with your friends. (You can skip the rest and just download it from the link in the next tweet if you want.) If you don’t want your digital future to be owned by a giant company but you want to explore what’s possible in this new era of agent-driven computing, you should try using Tlon. But wait, what is it? Tlon is a messaging platform built 100% open source, decentralized and owned by its users from the ground up. With Tlon you own everything: your data, your workflows, your programs: the whole thing. Think of it like Telegram or WhatsApp that you own forever and you can freely customize. Every Tlon account comes with an OpenClaw-powered bot. (Don’t worry, we safely run OpenClaw for you in our infrastructure so your bot can’t go off the rails. You’re also welcome to host your own claw if you want maximal control.) We use our bots to collect research, build nuanced daily briefings, collate data from all our disparate services. Tlon makes it insanely easy to use OpenClaw by simply installing an app from the app store, we let you keep your data and programs independent from any app or model provider, and provide the canvas to explore what’s possible. What’s most interesting for us is using bots together. On Tlon bots can create groups, augment them, moderate them, invite others and freely engage with both users and other bots. Tlon is an open playing field unlike what’s possible on conventional platforms. So, what do we do with Tlon? First and foremost, we run Tlon on Tlon. Bots coordinate data from all of our services (Linear, GitHub, all of our servers and infrastructure) and handle alerts, briefings and help us track down bugs in place. Having all of this easily synced between a desktop client and a mobile app is quick and convenient. We use bots to research new areas of work or interest. Bots can compile trees of notes, use different models to evaluate them, and then add on autoresearch-like automations to go even deeper. Since Tlon bots can freely switch between models and providers, we often pass research to Anthropic, OpenAI and self-hosted models to see different results. The most fun part of using bots as researchers is doing it together. “Put together short (~500 word) notes on the 10 most popular open source messaging protocols of the past twenty years, put them in a notebook inside a group and invite Corrina, Walt and Bill as well as their bots” is a good example. Together we’re able to move more quickly than we would on our own. Many of us also use bots to keep track of all the separate threads of work in our personal lives with close friends and family. Someone built a system for keeping track of their garden across time, someone else built a system for prepping lunches for their daughter and sending recipes to family members. Another team member built an integration that tracks what flights are passing overhead so they get a push notification every time a plane goes by. Many of us quickly communicate with our bots via voice memo when we’re out and about. Having a single interface to all the models that also holds all our data and is in our pockets feels great. Especially when the data goes into a single archive. Why is Tlon different? Every Tlon account runs on top of your very own personal server. If you ever want to download it and run it yourself, you can. If we ever go out of business, it’s yours to keep. This is very different from anything that already exists. You can’t keep your WhatsApp forever. You can’t keep your Telegram forever. Tlon is an archival-quality system that’s yours to customize. Why did we build it? In my 1999 imagination, sitting in front of a CRT somewhere in the California countryside listening to Underworld and the sound of a modem, a connected computer was an engine of unending creative potential for everyone. When I was a teenager, a computer with an internet connection felt like an infinite expanse of possibility. Not only could you use the computer to find new tools to experiment with—you could also build whatever tool you could think of. It seemed like anything was possible. I looked forward to a future where everyone could build whatever software they needed, whenever they needed it. It turned out, in the intervening twenty years, that to build and customize software you have to both write code and host it on a server somewhere. For most people, so far, that has been impossible. Instead of controlling our software, our software controls us. We rely on others to build it and decide everything about it: how it works, looks, how much it spies on us and how long it lives. But all of this is changing, fast. The hottest programming language of 2026 is English. People with no technical experience are building their own tools. It’s incredible. The expanse has opened up again. The cost of building what we think of today as software is headed to zero. What yesterday was an entire app is rapidly being replaced by a conversation. The result is hyper-specific, tailored to the user and much more efficient. Today, agents help us build workflows, automate processes and pull together disparate sources of data. All of the annoying apps and services and clunky interface we’ve put up with can just disappear. We can now program and control our computers in the programming language we already know: English. There aren’t that many of us doing this yet, though. It’s still far too hard to set up, to distribute and to trust. There’s also no single platform to experiment on and collaboratively imagine this new future of personal computing. We want everyone to be able to build bespoke, ultra-personal software on demand. We think software should be as available and accessible as a pen and paper. We think anyone should be able to enjoy the expanse of possibility that the computer provides with the lowest possible barrier to entry and the highest possible quality. So, starting far, far too long ago, we engineered a whole new system for it. Just for you. We’re opening up Tlon Messenger to a limited number of people each week. This isn’t for exclusivity’s sake, but because we’re running infrastructure for you and your agent, and covering the tokens your agent uses. That can get expensive quickly, but we want to learn what people will do with this new system we’ve built. We’re really curious to see what you can do, so give it a try and tell us what you invent. Download link to your local app store in the next tweet. Yours, Galen (and the rest of the Tlon Team)

Tlon

598,595 views • 1 month ago

What's next for OpenTUI? Here's a technical write-up. Over the last few months OpenTUI gained a lot of stability improvements, new unnecessary but fun features like live audio streaming, and useful features like rendering to the scrollback buffer mixed with a live TUI, called footer mode. Overall the feature set enables building large and complex applications. React and Solid make it super simple and convenient. There is still so much to do though. Three big milestones we have set out to achieve are: - Moving most of the behavioural logic currently living in TypeScript down to the native Zig core - Node compatibility - Optimizing the hell out of primitives like text rendering The render tree mechanisms are currently only usable from TypeScript. Think of the DOM, but controllable like a scene graph. Elements in the render tree are called renderables. They can expose a render method to draw themselves. All renderables are derived from a BaseRenderable. Renderables and the render tree will become native primitives. Building blocks usable from any language bindings. Reducing the TypeScript bindings to a very thin layer, with all the behavioural logic living in the native binary. Moving this down is not just a matter of porting TypeScript classes to Zig. TypeScript currently owns the tree, dirty-state propagation, layout reads, culling, and render ordering. If it still has to walk every node and call into native code for each step, we keep most of the complexity and add FFI overhead. Whole passes and their state need to move together. We took a big step towards this recently by building yoga-layout into the native binary. It exposes part of the official yoga-layout TypeScript package via FFI. Only the API surface that is actually used by OpenTUI. Covered by the test suite of the original yoga-layout package. This already gave a median speedup of ~2.5x, and up to 30x for narrow scenarios. The yoga-layout integration is useful beyond the speedup. Built-in text and editor measurement can now happen entirely in native code during layout instead of calling back into JavaScript. I ran an experiment last month taking this even further, having GPT 5.6 port yoga-layout from C++ to Zig, which gave extremely good results. It would be a burden to maintain right now though, so that's off the table for now. I might come back to it. Simon Klee is working relentlessly on Node compatibility and already has a full Node version of OpenCode running. Node got FFI support in v26.4.0, thanks to help from the Node community, namely Matteo Collina and Paolo Insogna. Behaviour and interfaces seem similar between Node and Bun, but there are some major differences. To get the best performance out of the Node FFI implementation, its usage has to follow some rules. Node has three ways to call native functions: the generic C++/libffi path, the SharedBuffer path, and the V8 Fast API. The generic path converts every argument in Node's C++ layer and then calls the function through libffi. It is flexible, but also the slowest option for frequently called functions. The SharedBuffer path is a middle ground. JavaScript writes scalar values and BigInt pointers into a small per-function buffer, reducing some conversion work. The actual native call still goes through libffi though. Typed arrays used as pointers cannot be packed into this buffer and fall back to the generic path. The path we really want is the V8 Fast API. Node generates a small machine-code trampoline for the exact function signature, allowing optimized JavaScript to call the native function without going through the generic converter or libffi. This only applies to JavaScript-to-native calls. Callbacks from native code into JavaScript still use libffi closures. Getting onto this path is quite strict. A signature can have at most eight arguments and everything must fit into CPU registers. x86-64 Unix systems have room for six GP (general-purpose) and eight FP (floating-point) arguments. AArch64 has room for seven GP and eight FP arguments. Anything that spills onto the stack falls back to a slower path. These are Node fast-path restrictions, not general FFI restrictions. Bun also does not support passing structs by value through its current FFI API. OpenTUI uses bun-ffi-structs to pack ABI-aligned struct data into an ArrayBuffer and passes a pointer instead. Despite the name, the package also works with Node. Pointers need some care too. Typed arrays and ArrayBuffers normally have to be resolved into BigInt addresses first. Eligible functions with exactly one pointer argument get another Fast API entrypoint that can extract the address directly from the buffer. An eligible signature is still not enough. V8 has to optimize a direct call with a fixed number of consistently typed arguments. Wrappers that collect arguments and forward them using spread or Reflect.apply can hide that call shape and keep the function on a slower path. The practical rules are: keep hot signatures within register limits, use direct fixed-arity calls with stable argument types, reuse owned buffers safely, and batch small operations. Then measure the real call site, because eligibility only makes a function fast-capable. We have to design the ABI around these constraints where it makes sense and gives the expected performance improvement. The third big area is text rendering. Today a Text renderable accepts a string, StyledText, or a tree of TextNodes. Before rendering, the TextNode tree is walked and flattened into styled chunks. Those chunks are packed in TypeScript, sent through FFI, copied into a native TextBuffer, and stored in a rope. Styles are represented separately as highlights. A TextBufferView then wraps the rope into visual lines, which are drawn into the visible buffer. This works, but updates are much more expensive than they should be. setStyledText effectively throws away and rebuilds the rope, copies and reparses all text and recreates the style highlights. Changing one TextNode also walks and flattens the complete tree before going through this path again. Text and style segments should instead live directly in the rope and support incremental replacement. Memory ownership is split between retained JavaScript buffers, the native memory registry, rope arenas, wrapping caches, styled-text storage, and highlights. Different operations preserve or reset different parts of that state. This is hard to reason about and can retain memory for much longer than expected. Text storage needs clearer ownership, with fewer lifetimes split across JavaScript and native code. The public API reflects the same split. The t template literal is convenient, but creates another intermediate chunk representation that is mutable, not cached, and not merged. Text also maintains both StyledText content and a special TextNode tree, which do not compose properly. TextNode is only a style scope, not a normal layout primitive, so Text renderables cannot naturally compose inside each other. I think this should become one Text primitive backed directly by rope segments. The template literal API might disappear or become a very thin helper around those native segments. Editing has another temporary layer in TypeScript. Extmarks currently monkey-patch editing operations, scan and adjust all marks after changes, maintain their own undo state, and recreate native highlights. They should become native marks anchored directly in the rope. A proper mark tree, similar to Neovim's marktree, could update marks together with edits, undo, and redo, and provide the foundation for highlights and concealment. Text wrapping has also become too complex. Supporting CJK, emoji, combining characters, ZWJ sequences, tabs, and different terminal width rules currently mixes byte offsets, grapheme indexes, and display-cell columns across several custom algorithms. Dirty views rewrap the complete document. Measurement and drawing can repeat some of the same work. The wrapping implementation needs an overhaul, but the exact shape is still open. The goal is to make Unicode handling easier to maintain, avoid repeated full-document work, and clearly separate byte offsets, graphemes, and terminal display cells. None of this will happen as one big rewrite. We will replace pieces when we understand the problem well enough and when the result is clearly simpler, faster, or more useful. To achieve all of this we might break public interfaces. Thanks to OpenCode and a lot of good models, migration to a new version with breaking changes mostly is not an issue anymore. What do you want to see next for OpenTUI?

What's next for OpenTUI? Here's a technical write-up. Over the last few months OpenTUI gained a lot of stability improvements, new unnecessary but fun features like live audio streaming, and useful features like rendering to the scrollback buffer mixed with a live TUI, called footer mode. Overall the feature set enables building large and complex applications. React and Solid make it super simple and convenient. There is still so much to do though. Three big milestones we have set out to achieve are: - Moving most of the behavioural logic currently living in TypeScript down to the native Zig core - Node compatibility - Optimizing the hell out of primitives like text rendering The render tree mechanisms are currently only usable from TypeScript. Think of the DOM, but controllable like a scene graph. Elements in the render tree are called renderables. They can expose a render method to draw themselves. All renderables are derived from a BaseRenderable. Renderables and the render tree will become native primitives. Building blocks usable from any language bindings. Reducing the TypeScript bindings to a very thin layer, with all the behavioural logic living in the native binary. Moving this down is not just a matter of porting TypeScript classes to Zig. TypeScript currently owns the tree, dirty-state propagation, layout reads, culling, and render ordering. If it still has to walk every node and call into native code for each step, we keep most of the complexity and add FFI overhead. Whole passes and their state need to move together. We took a big step towards this recently by building yoga-layout into the native binary. It exposes part of the official yoga-layout TypeScript package via FFI. Only the API surface that is actually used by OpenTUI. Covered by the test suite of the original yoga-layout package. This already gave a median speedup of ~2.5x, and up to 30x for narrow scenarios. The yoga-layout integration is useful beyond the speedup. Built-in text and editor measurement can now happen entirely in native code during layout instead of calling back into JavaScript. I ran an experiment last month taking this even further, having GPT 5.6 port yoga-layout from C++ to Zig, which gave extremely good results. It would be a burden to maintain right now though, so that's off the table for now. I might come back to it. Simon Klee is working relentlessly on Node compatibility and already has a full Node version of OpenCode running. Node got FFI support in v26.4.0, thanks to help from the Node community, namely Matteo Collina and Paolo Insogna. Behaviour and interfaces seem similar between Node and Bun, but there are some major differences. To get the best performance out of the Node FFI implementation, its usage has to follow some rules. Node has three ways to call native functions: the generic C++/libffi path, the SharedBuffer path, and the V8 Fast API. The generic path converts every argument in Node's C++ layer and then calls the function through libffi. It is flexible, but also the slowest option for frequently called functions. The SharedBuffer path is a middle ground. JavaScript writes scalar values and BigInt pointers into a small per-function buffer, reducing some conversion work. The actual native call still goes through libffi though. Typed arrays used as pointers cannot be packed into this buffer and fall back to the generic path. The path we really want is the V8 Fast API. Node generates a small machine-code trampoline for the exact function signature, allowing optimized JavaScript to call the native function without going through the generic converter or libffi. This only applies to JavaScript-to-native calls. Callbacks from native code into JavaScript still use libffi closures. Getting onto this path is quite strict. A signature can have at most eight arguments and everything must fit into CPU registers. x86-64 Unix systems have room for six GP (general-purpose) and eight FP (floating-point) arguments. AArch64 has room for seven GP and eight FP arguments. Anything that spills onto the stack falls back to a slower path. These are Node fast-path restrictions, not general FFI restrictions. Bun also does not support passing structs by value through its current FFI API. OpenTUI uses bun-ffi-structs to pack ABI-aligned struct data into an ArrayBuffer and passes a pointer instead. Despite the name, the package also works with Node. Pointers need some care too. Typed arrays and ArrayBuffers normally have to be resolved into BigInt addresses first. Eligible functions with exactly one pointer argument get another Fast API entrypoint that can extract the address directly from the buffer. An eligible signature is still not enough. V8 has to optimize a direct call with a fixed number of consistently typed arguments. Wrappers that collect arguments and forward them using spread or Reflect.apply can hide that call shape and keep the function on a slower path. The practical rules are: keep hot signatures within register limits, use direct fixed-arity calls with stable argument types, reuse owned buffers safely, and batch small operations. Then measure the real call site, because eligibility only makes a function fast-capable. We have to design the ABI around these constraints where it makes sense and gives the expected performance improvement. The third big area is text rendering. Today a Text renderable accepts a string, StyledText, or a tree of TextNodes. Before rendering, the TextNode tree is walked and flattened into styled chunks. Those chunks are packed in TypeScript, sent through FFI, copied into a native TextBuffer, and stored in a rope. Styles are represented separately as highlights. A TextBufferView then wraps the rope into visual lines, which are drawn into the visible buffer. This works, but updates are much more expensive than they should be. setStyledText effectively throws away and rebuilds the rope, copies and reparses all text and recreates the style highlights. Changing one TextNode also walks and flattens the complete tree before going through this path again. Text and style segments should instead live directly in the rope and support incremental replacement. Memory ownership is split between retained JavaScript buffers, the native memory registry, rope arenas, wrapping caches, styled-text storage, and highlights. Different operations preserve or reset different parts of that state. This is hard to reason about and can retain memory for much longer than expected. Text storage needs clearer ownership, with fewer lifetimes split across JavaScript and native code. The public API reflects the same split. The t template literal is convenient, but creates another intermediate chunk representation that is mutable, not cached, and not merged. Text also maintains both StyledText content and a special TextNode tree, which do not compose properly. TextNode is only a style scope, not a normal layout primitive, so Text renderables cannot naturally compose inside each other. I think this should become one Text primitive backed directly by rope segments. The template literal API might disappear or become a very thin helper around those native segments. Editing has another temporary layer in TypeScript. Extmarks currently monkey-patch editing operations, scan and adjust all marks after changes, maintain their own undo state, and recreate native highlights. They should become native marks anchored directly in the rope. A proper mark tree, similar to Neovim's marktree, could update marks together with edits, undo, and redo, and provide the foundation for highlights and concealment. Text wrapping has also become too complex. Supporting CJK, emoji, combining characters, ZWJ sequences, tabs, and different terminal width rules currently mixes byte offsets, grapheme indexes, and display-cell columns across several custom algorithms. Dirty views rewrap the complete document. Measurement and drawing can repeat some of the same work. The wrapping implementation needs an overhaul, but the exact shape is still open. The goal is to make Unicode handling easier to maintain, avoid repeated full-document work, and clearly separate byte offsets, graphemes, and terminal display cells. None of this will happen as one big rewrite. We will replace pieces when we understand the problem well enough and when the result is clearly simpler, faster, or more useful. To achieve all of this we might break public interfaces. Thanks to OpenCode and a lot of good models, migration to a new version with breaking changes mostly is not an issue anymore. What do you want to see next for OpenTUI?

kmdr

29,430 views • 14 days ago

FULL TRANSCRIPT OF ELON'S CYBERCAB AND ROBOVAN PRESENTATION 00:00 Welcome 01:16 Cybercab & Future of transportation 04:33 Cost 05:53 Timeline 07:13 Self-driving technology 10:05 Inductive charging 10:24 The cities of the future 11:04 Robovan 12:13 Optimus Welcome Welcome to the We, Robot party. We have quite a show for you tonight. I think you're going to like it. As you can see, I just arrived in the Robotaxi, the Cybercab. And there's 20 more where that came from. So they've been traveling, there's no people in them. As you can see, the car is just going by with no people. We have 50 fully autonomous cars here tonight. So you'll see model Y's and the Cybercabs, all driverless. You'll be able to take a ride in the Cybercab. There's no steering wheel or pedals. So I hope this goes well, we'll find out. You see a lot of sci-fi movies where the future is dark and dismal, where it's not a future you want to be in. So, you know, I love Blade Runner, but I don't know if we want that future. We want that duster he's wearing, but not the bleak apocalypse. We want to have a fun, exciting future that, if you could look in a crystal ball and see the future, you'd be like, yes, I wish I could be there now. That's what we want. Cybercab & Future of transportation So, when we think about transport today, there's a lot of pain that we take for granted, that we think is normal. Like having to drive around LA in 3 hours of traffic. Yeah, people that live in LA, I mean, you know, try to get from Pasadena to El Segundo during rush hour. You can fly to another city faster than you can get to LA. And you have to drive the whole way, unless you're in a Tesla. Of course, our Tesla already does quite well at this supervised self-driving. So, supervised full self-driving is actually working quite well. I'm sure there's people in the crowd who are using that. So, we'll move from supervised full self-driving to unsupervised full self-driving where the car, you could fall asleep and wake up at your destination. But there's also a challenge for a lot of people that cars cost too much. I mean, when you factor in everything that goes into a car and the car insurance and the car payments, storage of the car, it's very expensive. You say, like, how many hours a week are cars used? Your average passenger car is only used about 10 hours a week out of 168 hours. So, the vast majority of the time cars are just doing nothing. But if they're autonomous, they could be used, I don't know, five times more, maybe ten times more. So you could actually, for the same car, would have five times as much value, maybe ten times as much value. There's 168 hours in the week, and like I said, only ten of them are used for driving. And then, a bunch of those hours are looking for a parking spot, which can be pretty annoying at times. So, with autonomy, you get your time back. This is a very big deal. So it's not just, it'll save lives, like a lot of lives and prevent injuries. I think we'll see autonomous cars become ten times safer than a human. I mean, if you think of times past where there used to be an elevator operator in every elevator but once in a while, they get tired and accidentally shear somebody in half. Now, we have automated elevators. You just get an elevator and you press a button and you don't even think about it and it just takes you to the floor. And if you did see an elevator operator with a big relay switch, you'd be like, that's weird. That's how cars will be. And it's not just the lives saved in injuries, but if you think about the cumulative time that people spend in a car and the time that they will get back that they can now spend, well, I guess, on their phones or watching a movie or doing work or whatever you want to do you can think of the car in autonomous world as being like just little lounge. You're just sitting in a comfortable little lounge and you can do whatever you want while you're in this comfortable little lounge. And when you get out, you will be at your destination. So, yeah, it's gonna be awesome. Cost So, in fact, I think the cost of autonomous transport will be so low that you can think of it like individualized mass transit. The average cost of a bus per mile for a city, not the ticket price, because that is subsidized, but the average price is about a dollar a mile, whereas the cost of Cybercab we think probably over time, the operating cost is probably going to be around twenty cents a mile. Including taxes and everything else, it probably ends up being 30 or 40 cents a mile. And you will be able to buy one. And we expect the cost to be below $30,000. And I think there'll be an interesting business model where, let's say somebody is an Uber or Lyft driver today where they can actually sort of manage a fleet of cars and like, sort of manage, I don't know, 10, 20 cars and just take care of them. Like a shepherd tends their flock. You have a little flock of cars and you're the shepherd and you take care of your flock of cars. I think that would be pretty cool. I think it's going to be a glorious future. It's going to be really something special. Timeline We do expect actually to start fully autonomous unsupervised FSD in Texas and California next year. And that's obviously, that's with the Model 3 and Model Y. And then we expect to be in production with the Cybercab, which is really highly optimized for autonomous transport in probably, I tend to be a little optimistic with time frames, but in 2026. So, yeah, before 2027, let me put it that way. And we'll make this vehicle in very high volume. But well, before that, you will experience a robotic taxi via the Model 3 and Model Y program and model S and X, too. But the Model 3 and Y will achieve unsupervised full self-driving with permission, in wherever regulators essentially approve it. In the US, and then to follow outside the US. And Cybertruck, too. All our cars are basically, all cars that we make. Let's not get nuanced here. Self-driving technology One of the reasons why the computer can be so much better than a person is that we have millions of cars that are training on driving. It's like living millions of lives simultaneously and seeing very unusual situations that a person in their entire lifetime would not see. With that amount of training data, it's obviously going to be much better than what a human could be because you can't live a million lives. And it's also, it can see in all directions simultaneously and it doesn't get tired or text or any of those things. So, it will naturally be, like I said 10, 20, 30 times safer than a human, just for all those reasons. And I want to emphasize that the solution that we have is, AI and vision. So, there's no expensive equipment needed. The Model 3 and Model Y and S and X that we make today will be capable of full autonomy, unsupervised. And that means that our cost of producing the vehicle is low. Now, we are going to actually over-spec the computer for the Cybercab. So, our AI 5 computer will be somewhat over-spec'd because I think there's actually also an opportunity, sort of like an Amazon Web Services, where if the car is driving for 50 hours a week, there's still over 100 hours left and there's a potential there to have a massive amount of distributed inference compute, where if you've got like a fleet of 100 million vehicles and a kilowatt of efficient inference compute, you have 100 gigawatts of compute, which is really quite substantial. And if it's there, you might as well use it so that I think will make sense. So, our autonomous future is here. As I said, we've got 50 Teslas driving autonomously. We're trying to give you a sense of what cities will be like in the future. And when you get in, you'll see like, it's really quite a wild experience to just be in a car with no steering wheel, no pedals, no controls, and it feels great. So we have enough vehicles here, so everyone should be able to try it out and experience the set that we've built here. It's a very big set. So it's like really we've used I don't know, 20, 30 acres or something like that. It's really big. So, it goes on, the ride's long. And we set it up to feel like a ride, like a park ride. So, it'll be cool and you'll get to experience it tonight. Inductive charging Something we're also doing is and it's really high time we did this is inductive charging. So, the robotaxi has no plug. It just goes over the inductive charger and charges. So, yeah, it's kind of how it should be. The cities of the future One of the things that is really interesting is how will this affect the cities that we live in. And when you drive around a city, or when the car drives you around the city, you'll see there's a lot of parking lots. There's parking lots everywhere, parking garages. What would happen if you have an autonomous world is that you can now turn parking lots into parks. And so, from we're taking the inglot out of parking lot. You're welcome. So, there's a lot of opportunity to create green space in the cities that we live in. So, like, that would be quite fantastic. Robovan Oh, and also, what happens if you need a vehicle that is bigger than a Model Y? The Robovan. We're going to make this and it's going to look like that. Now, can you imagine going down the streets and you see this coming towards you? That'd be sick. So this can carry up to 20 people, and it can also transport goods. You can configure it for goods transport within a city. Or transport of up to 20 people at a time. The Robovan is what's gonna solve for high density. If you want to take a sports team somewhere or you're looking to really get the cost of travel down to, I don't know, 5, 10 cents a mile, then you can use the Robovan. One of the things we want to do, and we've seen this with the Cybertruck, is we want to change the look of the roads. The future should look like the future. Optimus Speaking of robots. Everything we've developed for our cars, the batteries, power electronics, the advanced motors, gearboxes, the software, the AI inference computer, it all actually applies to a humanoid robot. The same techniques. It's just a robot with arms and legs instead of a robot with wheels. We've made a lot of progress with Optimus. And as you can see, we started up with someone in a robot suit. And then, we've progressed dramatically, year after year. So, if you extrapolate this, you're really going to have something spectacular, something that anyone could own. So, you can have your own personal R2-D2-C3PO. And I think at scale, this would cost something like, I don't know, $20,000, $30,000, probably less than a car is my prediction, long-term. It'll take us a minute to get to the long term. But fundamentally, at scale, the Optimus robot, you should be able to buy an Optimus robot for, I think, probably $20,000 to $30,000, long-term. And what can it do? It'll basically do anything you want. It can be a teacher or babysit your kids, it can walk your dog, mow your lawn, get the groceries, just be your friend, serve drinks whatever you can think of, it will do. And, yeah, it's going to be awesome. I think this will be the biggest product ever of any kind, because I think everyone of the 8 billion people of Earth, I think everyone's going to want their Optimus buddy. And there's going to be maybe two. And then, they'll be producing products and services. I predict, actually, provided we address risks of digital superintelligence, 80% probability of good outcome, look on the bright side, the cup is 80% full, the cost of products and services will decline dramatically. And basically, anyone will be able to have any products and services they want. It will be an age of abundance the likes of which people have not, almost no one has envisioned. It will be something special. So now, one of the things we wanted to show tonight was that Optimus is not a canned video. It's not walled off. The Optimus robots will walk among you. Please, please be nice to the Optimus robots. You'll be able to walk right up to them and they'll serve drinks at the bar. I mean, it's a wild experience just to have humanoid robots and they're there, you're just in front of you. So yeah, with that, let's party!

FULL TRANSCRIPT OF ELON'S CYBERCAB AND ROBOVAN PRESENTATION 00:00 Welcome 01:16 Cybercab & Future of transportation 04:33 Cost 05:53 Timeline 07:13 Self-driving technology 10:05 Inductive charging 10:24 The cities of the future 11:04 Robovan 12:13 Optimus Welcome Welcome to the We, Robot party. We have quite a show for you tonight. I think you're going to like it. As you can see, I just arrived in the Robotaxi, the Cybercab. And there's 20 more where that came from. So they've been traveling, there's no people in them. As you can see, the car is just going by with no people. We have 50 fully autonomous cars here tonight. So you'll see model Y's and the Cybercabs, all driverless. You'll be able to take a ride in the Cybercab. There's no steering wheel or pedals. So I hope this goes well, we'll find out. You see a lot of sci-fi movies where the future is dark and dismal, where it's not a future you want to be in. So, you know, I love Blade Runner, but I don't know if we want that future. We want that duster he's wearing, but not the bleak apocalypse. We want to have a fun, exciting future that, if you could look in a crystal ball and see the future, you'd be like, yes, I wish I could be there now. That's what we want. Cybercab & Future of transportation So, when we think about transport today, there's a lot of pain that we take for granted, that we think is normal. Like having to drive around LA in 3 hours of traffic. Yeah, people that live in LA, I mean, you know, try to get from Pasadena to El Segundo during rush hour. You can fly to another city faster than you can get to LA. And you have to drive the whole way, unless you're in a Tesla. Of course, our Tesla already does quite well at this supervised self-driving. So, supervised full self-driving is actually working quite well. I'm sure there's people in the crowd who are using that. So, we'll move from supervised full self-driving to unsupervised full self-driving where the car, you could fall asleep and wake up at your destination. But there's also a challenge for a lot of people that cars cost too much. I mean, when you factor in everything that goes into a car and the car insurance and the car payments, storage of the car, it's very expensive. You say, like, how many hours a week are cars used? Your average passenger car is only used about 10 hours a week out of 168 hours. So, the vast majority of the time cars are just doing nothing. But if they're autonomous, they could be used, I don't know, five times more, maybe ten times more. So you could actually, for the same car, would have five times as much value, maybe ten times as much value. There's 168 hours in the week, and like I said, only ten of them are used for driving. And then, a bunch of those hours are looking for a parking spot, which can be pretty annoying at times. So, with autonomy, you get your time back. This is a very big deal. So it's not just, it'll save lives, like a lot of lives and prevent injuries. I think we'll see autonomous cars become ten times safer than a human. I mean, if you think of times past where there used to be an elevator operator in every elevator but once in a while, they get tired and accidentally shear somebody in half. Now, we have automated elevators. You just get an elevator and you press a button and you don't even think about it and it just takes you to the floor. And if you did see an elevator operator with a big relay switch, you'd be like, that's weird. That's how cars will be. And it's not just the lives saved in injuries, but if you think about the cumulative time that people spend in a car and the time that they will get back that they can now spend, well, I guess, on their phones or watching a movie or doing work or whatever you want to do you can think of the car in autonomous world as being like just little lounge. You're just sitting in a comfortable little lounge and you can do whatever you want while you're in this comfortable little lounge. And when you get out, you will be at your destination. So, yeah, it's gonna be awesome. Cost So, in fact, I think the cost of autonomous transport will be so low that you can think of it like individualized mass transit. The average cost of a bus per mile for a city, not the ticket price, because that is subsidized, but the average price is about a dollar a mile, whereas the cost of Cybercab we think probably over time, the operating cost is probably going to be around twenty cents a mile. Including taxes and everything else, it probably ends up being 30 or 40 cents a mile. And you will be able to buy one. And we expect the cost to be below $30,000. And I think there'll be an interesting business model where, let's say somebody is an Uber or Lyft driver today where they can actually sort of manage a fleet of cars and like, sort of manage, I don't know, 10, 20 cars and just take care of them. Like a shepherd tends their flock. You have a little flock of cars and you're the shepherd and you take care of your flock of cars. I think that would be pretty cool. I think it's going to be a glorious future. It's going to be really something special. Timeline We do expect actually to start fully autonomous unsupervised FSD in Texas and California next year. And that's obviously, that's with the Model 3 and Model Y. And then we expect to be in production with the Cybercab, which is really highly optimized for autonomous transport in probably, I tend to be a little optimistic with time frames, but in 2026. So, yeah, before 2027, let me put it that way. And we'll make this vehicle in very high volume. But well, before that, you will experience a robotic taxi via the Model 3 and Model Y program and model S and X, too. But the Model 3 and Y will achieve unsupervised full self-driving with permission, in wherever regulators essentially approve it. In the US, and then to follow outside the US. And Cybertruck, too. All our cars are basically, all cars that we make. Let's not get nuanced here. Self-driving technology One of the reasons why the computer can be so much better than a person is that we have millions of cars that are training on driving. It's like living millions of lives simultaneously and seeing very unusual situations that a person in their entire lifetime would not see. With that amount of training data, it's obviously going to be much better than what a human could be because you can't live a million lives. And it's also, it can see in all directions simultaneously and it doesn't get tired or text or any of those things. So, it will naturally be, like I said 10, 20, 30 times safer than a human, just for all those reasons. And I want to emphasize that the solution that we have is, AI and vision. So, there's no expensive equipment needed. The Model 3 and Model Y and S and X that we make today will be capable of full autonomy, unsupervised. And that means that our cost of producing the vehicle is low. Now, we are going to actually over-spec the computer for the Cybercab. So, our AI 5 computer will be somewhat over-spec'd because I think there's actually also an opportunity, sort of like an Amazon Web Services, where if the car is driving for 50 hours a week, there's still over 100 hours left and there's a potential there to have a massive amount of distributed inference compute, where if you've got like a fleet of 100 million vehicles and a kilowatt of efficient inference compute, you have 100 gigawatts of compute, which is really quite substantial. And if it's there, you might as well use it so that I think will make sense. So, our autonomous future is here. As I said, we've got 50 Teslas driving autonomously. We're trying to give you a sense of what cities will be like in the future. And when you get in, you'll see like, it's really quite a wild experience to just be in a car with no steering wheel, no pedals, no controls, and it feels great. So we have enough vehicles here, so everyone should be able to try it out and experience the set that we've built here. It's a very big set. So it's like really we've used I don't know, 20, 30 acres or something like that. It's really big. So, it goes on, the ride's long. And we set it up to feel like a ride, like a park ride. So, it'll be cool and you'll get to experience it tonight. Inductive charging Something we're also doing is and it's really high time we did this is inductive charging. So, the robotaxi has no plug. It just goes over the inductive charger and charges. So, yeah, it's kind of how it should be. The cities of the future One of the things that is really interesting is how will this affect the cities that we live in. And when you drive around a city, or when the car drives you around the city, you'll see there's a lot of parking lots. There's parking lots everywhere, parking garages. What would happen if you have an autonomous world is that you can now turn parking lots into parks. And so, from we're taking the inglot out of parking lot. You're welcome. So, there's a lot of opportunity to create green space in the cities that we live in. So, like, that would be quite fantastic. Robovan Oh, and also, what happens if you need a vehicle that is bigger than a Model Y? The Robovan. We're going to make this and it's going to look like that. Now, can you imagine going down the streets and you see this coming towards you? That'd be sick. So this can carry up to 20 people, and it can also transport goods. You can configure it for goods transport within a city. Or transport of up to 20 people at a time. The Robovan is what's gonna solve for high density. If you want to take a sports team somewhere or you're looking to really get the cost of travel down to, I don't know, 5, 10 cents a mile, then you can use the Robovan. One of the things we want to do, and we've seen this with the Cybertruck, is we want to change the look of the roads. The future should look like the future. Optimus Speaking of robots. Everything we've developed for our cars, the batteries, power electronics, the advanced motors, gearboxes, the software, the AI inference computer, it all actually applies to a humanoid robot. The same techniques. It's just a robot with arms and legs instead of a robot with wheels. We've made a lot of progress with Optimus. And as you can see, we started up with someone in a robot suit. And then, we've progressed dramatically, year after year. So, if you extrapolate this, you're really going to have something spectacular, something that anyone could own. So, you can have your own personal R2-D2-C3PO. And I think at scale, this would cost something like, I don't know, $20,000, $30,000, probably less than a car is my prediction, long-term. It'll take us a minute to get to the long term. But fundamentally, at scale, the Optimus robot, you should be able to buy an Optimus robot for, I think, probably $20,000 to $30,000, long-term. And what can it do? It'll basically do anything you want. It can be a teacher or babysit your kids, it can walk your dog, mow your lawn, get the groceries, just be your friend, serve drinks whatever you can think of, it will do. And, yeah, it's going to be awesome. I think this will be the biggest product ever of any kind, because I think everyone of the 8 billion people of Earth, I think everyone's going to want their Optimus buddy. And there's going to be maybe two. And then, they'll be producing products and services. I predict, actually, provided we address risks of digital superintelligence, 80% probability of good outcome, look on the bright side, the cup is 80% full, the cost of products and services will decline dramatically. And basically, anyone will be able to have any products and services they want. It will be an age of abundance the likes of which people have not, almost no one has envisioned. It will be something special. So now, one of the things we wanted to show tonight was that Optimus is not a canned video. It's not walled off. The Optimus robots will walk among you. Please, please be nice to the Optimus robots. You'll be able to walk right up to them and they'll serve drinks at the bar. I mean, it's a wild experience just to have humanoid robots and they're there, you're just in front of you. So yeah, with that, let's party!

Mario Nawfal

241,051 views • 1 year ago