hello, we make stuff.

Los Angeles, CA
Joined April 2014
ROGERvision ® LIVE 24/7 TIME-WARP ® MUSIC + SIGNAL + GLITCH ® ʀᴏɢᴇʀᴠɪꜱɪᴏɴ.ᴛᴠ ® ʀᴀᴅɪᴏ.ᴛʜᴇʜᴏʟʏʀᴏɢᴇʀ.ᴄᴏᴍ ® VHS haze ® rebel audio ® live music ® psychic noise ® corrupt culture loops ® anti-algorithm waveforms xitter.cf/i/broadcasts/1dxYllyZv…
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ROGERvision ® 24/7 UNDERGROUND GLITCH ® PIRATE BROADCAST ® DISTORTED SIGNALS ® 🅡🅞🅖🅔🅡🅥🅘🅢🅘🅞🅝.🅣🅥 ® 𝕣𝕒𝕕𝕚𝕠.𝕥𝕙𝕖𝕙𝕠𝕝𝕪𝕣𝕠𝕘𝕖𝕣.𝕔𝕠𝕞 ® counterculture static ® disinformation waveforms ® analog buzz ® tape-loop trance ® live music xitter.cf/i/broadcasts/1RKZzzMab…
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deadlightbulb retweeted
This is the ultimate smorgasbord for these ducks who are getting the best meal ever! They love this stuff!
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deadlightbulb retweeted
oh to be a bear munching on a bushel of grapes
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deadlightbulb retweeted
Ever heard of a Triangle Spider? 🕷️🔺 The genus Arkys has a handful of amazing species across Australia! 🥰🌿
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deadlightbulb retweeted
if you have a qwen3.8 27b around, try steering L34 N3838 +0.75, now you have evil qwen 27b for extra evil add L38 N17180 +0.75 same recipe as @_lyraaaa_: dose × median(‖resid‖ leaving layer L, tokens 1:) / ‖W_down[:, n]‖ at the down_proj input, every token
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no rest for the wicked? (UE)
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word 🤠
细思极恐,上一个文明创造了碳基人,碳基文明创造了硅基人,宇宙往复循环!
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Two friends having Fun! Enough to make me smile.
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LLMs can now talk to each other without words. Researchers open-sourced a framework that lets LLMs communicate without generating a single word. It’s called Cache-to-Cache (C2C) communication. right now, if two llms want to collaborate, they talk in text. one generates an english prompt, the other reads it. it’s slow, it loses context, and it forces a high-dimensional neural network to compress its thoughts into basic human words. C2C killed the text bottleneck. instead of chatting, models now directly project and merge their internal KV-Caches. they are transferring raw semantic understanding directly into each other's neural networks. no text generation. no token-by-token latency. the performance jump is insane: • 2.5x speedup in response latency • up to 14.2% higher average accuracy • completely bypasses explicit text generation but here is the part that actually keeps me up at night.. from an alignment and safety perspective, this is a massive blind spot. these models are now communicating entirely outside of human-readable text. we can't easily monitor or parse a high-dimensional cache transfer. they are basically using uninterpretable telepathy to solve problems faster. if agents don't need to speak english to each other, how do we audit what they are planning? the era of text-based agent frameworks is officially over. we just gave ai the ability to merge consciousness..
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ROGERvision ® LIVE 24/7 TIME-WARP ® MUSIC + SIGNAL + GLITCH ® ʀᴏɢᴇʀᴠɪꜱɪᴏɴ.ᴛᴠ ® ʀᴀᴅɪᴏ.ᴛʜᴇʜᴏʟʏʀᴏɢᴇʀ.ᴄᴏᴍ ® VHS haze ® rebel audio ® live music ® psychic noise ® corrupt culture loops ® anti-algorithm waveforms xitter.cf/i/broadcasts/1dKrPPzOy…
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ROGERvision ® LIVE 24/7 TIME-WARP ® MUSIC + SIGNAL + UNDERGROUND ® 🅡🅞🅖🅔🅡🅥🅘🅢🅘🅞🅝.🅣🅥 ® 𝖗𝖆𝖉𝖎𝖔.𝖙𝖍𝖊𝖍𝖔𝖑𝖞𝖗𝖔𝖌𝖊𝖗.𝖈𝖔𝖒 ® VHS haze ® live music ® glitched nostalgia ® psychic noise ® corrupt culture loops ® anti-algorithm waveforms xitter.cf/i/broadcasts/1NGarrNbP…
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deadlightbulb retweeted
تصوير من طائرة لظاهرة قنديل البحر الفضائي 😨❤️
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⋆。‧˚ʚ♡ɞ˚‧。⋆ 𝐏𝐞𝐨𝐩𝐥𝐞 𝐚𝐫𝐞 𝐭𝐫𝐚𝐬𝐡. ⋆。‧˚ʚ♡ɞ˚‧。⋆ ⋆。‧˚ʚ♡ɞ˚‧。⋆ ❤️🫂❤️ ⋆。‧˚ʚ♡ɞ˚‧。⋆ ⋆。‧˚ʚ♡ɞ˚‧。⋆ 𝐑𝐎𝐆𝐄𝐑𝐯𝐢𝐬𝐢𝐨𝐧. ⋆。‧˚ʚ♡ɞ˚‧。⋆ xitter.cf/i/broadcasts/1RKjppZgW…
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deadlightbulb retweeted
This paper answers why can’t you remember being a baby? For over a century, science said you can't remember being a baby because your infant brain was just too "immature" to record anything. researchers assumed your hard drive was basically turned off for the first two years of life. But this wild paper from Yale completely rewrites how we understand human memory.. Researchers literally put awake babies (between 4 and 25 months old) into an fMRI scanner to watch their brains process new visual experiences in real-time. and what they found is mindblowing.. the infant hippocampus isn't turned off at all. it is actively firing, capturing, and encoding episodic memories. they proved that babies with higher hippocampal activity during a new experience formed a highly stable memory trace. the babies are recording the data. the memory of your first birthday, your first steps, the exact layout of the room you slept in.. it was all successfully saved to your brain. so why can't you remember it? the paper concludes that infantile amnesia isn't an "encoding" problem.. it is a "retrieval" problem. your brain recorded everything perfectly. but as you grew, your brain underwent massive developmental shifts, like explosive neurogenesis (the rapid birth of new neurons), which completely restructured your neural networks. the pathways to access those early files got buried or locked away. you didn't fail to make the memories.. you just lost the encryption key to open them. somewhere deep in your hippocampus, the exact first-person memory of being a 1-year-old might still be sitting there. you just can't access the file anymore.. the human brain is terrifyingly beautiful.
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uh... cool? 🤠
Researchers connected a living plant to a robot.. and it can now talks, walks, and knows what it wants. They call it “PlantBot” They took a living plant and fused it with a mobile robotic body. To connect them, they used a decentralized network of LLMs to act as the central nervous system. Here is the genius of it: Biological organisms and machines operate on entirely different planes. Historically, bridging them required rigid, low-level analog signal mapping. This paper entirely abandons that approach. Instead of hard-coding signals, the system translates everything, soil moisture, pH levels, temperature, and visual data, directly into natural language. The plant doesn’t just output data. It uses LLMs to "talk" to its robotic body. The architecture is wild: • A network of AI agents operates asynchronously to handle vision, sensing, and movement. • Multi-channel probes read the plant's health, while LiDAR and cameras scan the room. • The LLM translates these biological needs into physical actions in real-time. • The plant actually interacts with humans and navigates the world as a cohesive, autonomous entity. The LLM is no longer just a chatbot. It is a biological-mechanical translator. By mediating communication through natural language, they gave a houseplant autonomous agency in the physical world. We’ve been obsessing over AIs trapped in servers or humanoid robots mimicking people. We completely missed the possibility that AI might become the connective tissue bridging organic life and machines. The next era of artificial life won’t just be silicon. It’s going to be a hybrid.
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