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LCD image quality has always had a ceiling, until now. TCL CSOT's RGBC pixel innovation adds a native cyan sub-pixel to traditional RGB: -True four-color display -Wider color gamut, more natural color reproduction -Reduced color fringing and crosstalk -LCD brightness & reliability — with OLED-rivalling image quality

TCL CSOT

1,823 subscribers

2,526,867 views • 3 months ago •via X (Twitter)

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Anya Rossi• Live Now

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34 Comments

prophetoffalsehope2 months ago

Han har jagah apex

Cá Chình Điện2 months ago

tried it, ux shockingly smooth, but where's the compute hosted

Nagendra Singh Yadav2 months ago

Why would i buy a tv 📺

Hana Trần2 months ago

finally a display that gets colors right

Kakarot | Crypto × DeFi2 months ago

Does this break ClearType tuning or get a new profile?

SEVEN2 months ago

muốn xem tận mắt cái cyan này hiển thị trời xanh thế nào quá

고조 체인2 months ago

cyan subpixel solves fringing, but what about text rendering?

0xArife.ETH2 months ago

oled has been too comfy

0xMira.ETH2 months ago

but does it save power

Zarroc.BTC 🧠3 months ago

this is the upgrade we didn't know we needed, wild stuff!

アキラ2 months ago

LCDの画質が飛躍的に向上しました。

Kaff 📊2 months ago

Game changer for LCD displays, can't wait to see this tech in action

Zippy2 months ago

need to see that cyan in daylight before i believe the hype

Louis B2 months ago

finally a display that's not washed out in sunlight

A R C H ＯＯ D Z2 months ago

cyan subpixel is cool, hows the power draw?

Hana Trần2 months ago

finally, some decent lcd panels coming out

Ducky | 𝔽rAI3 months ago

right? everyone said lcd was done, then this drops and suddenly oled's not the only answer anymore

Coral Gamer 🍀 CROSS2 months ago

First Siege War sắp tới hay.

Mạnh 100 (❖,❖)2 months ago

finally breaking the LCD barrier bro

泰坦链 | DeFi2 months ago

Curious how RGBC plays with subpixel AA on desktop

Hana Trần3 months ago

finally a display that doesn't make my skin look weird 😊

Le Rieng2 months ago

ouch imsgine buying back your own conviction later like that

Dharamvir Gurdasani2 months ago

Radiation from screen is high.

Jerry3 months ago

cool stuff, but i need to see how that cyan holds up in fast motion before i get hyped

v98cheox.club2 months ago

hope the software support isnt a mess 😭

Escan2 months ago

oled fanboys about to get real quiet lol

VENUS2 months ago

finally a display that gets sky blue right

ndkhoa132 months ago

kinda curious if this holds up in motion tho, cyan tricks usually sneak in artifacts

HÓNG HỚT XÃ HỘI2 months ago

oled is sweating rn honestly

zoomies.llamafile3 months ago

Wow

Louis B2 months ago

finally, a tv that won't butcher those sunset scenes 🌅

MrITTI 🫎2 months ago

big thanks, will post tracking and pics here once the milk lands

Beo3 months ago

finally, a display that shows real greens, no more washed out tones

Hana Trần3 months ago

cian sub-pixel sounds like a game-changer. will it be affordable?

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253,475 views • 1 year ago

Billions of $$ raised to generate images, and none of them let you actually edit what you get. You type a prompt, get something close, try to fix one thing, and the whole image regenerates. Now 50% of what was working is gone. So you prompt again. And again. Stuck in prompt doom loops, burning tokens every single time. The output is always a flat PNG, limiting what you can do with it. Lica World actually reads your image and breaks it into structured, editable layers. You go in, change what you need to change, and everything else stays exactly where it was. Route each layer to the right model or a capable human. You don't need to regenerate from scratch or pay the token tax to fix a font color. Enterprises publishing creatives across site, social, and email are already using Lica to own their model and own their output. We're grateful to be supported by Accel, Amjad Masad, Srinivas Narayanan, , Village Global, and Michele Catasta to build the editing layer that AI image gen has been missing. Want early access? Check the next thread below.

Billions of $$ raised to generate images, and none of them let you actually edit what you get. You type a prompt, get something close, try to fix one thing, and the whole image regenerates. Now 50% of what was working is gone. So you prompt again. And again. Stuck in prompt doom loops, burning tokens every single time. The output is always a flat PNG, limiting what you can do with it. Lica World actually reads your image and breaks it into structured, editable layers. You go in, change what you need to change, and everything else stays exactly where it was. Route each layer to the right model or a capable human. You don't need to regenerate from scratch or pay the token tax to fix a font color. Enterprises publishing creatives across site, social, and email are already using Lica to own their model and own their output. We're grateful to be supported by Accel, Amjad Masad, Srinivas Narayanan, , Village Global, and Michele Catasta to build the editing layer that AI image gen has been missing. Want early access? Check the next thread below.

Priyaa

1,441,613 views • 6 months ago

Sony unveiled the LYTIA L910, its first smartphone image sensor with LOFIC (Lateral Overflow Integration Capacitor) technology, and it could be one of the biggest camera upgrades we've seen in years. Key specifications: - 50MP effective resolution - 1/1.28-inch stacked CMOS sensor - 1.22μm pixel size - Quad Bayer color filter - Sony's 2-layer transistor pixel architecture - LOFIC + Triple Conversion Gain (TCG) HDR - Ultra High Conversion Gain (UHCG) circuit - Up to 100dB dynamic range (around 16.6 stops) in a single exposure - Around 30% lower random noise than the LYTIA L828 - Supports 4K 60fps HDR video with lower power consumption - Reduces HDR ghosting, highlight clipping, crushed shadows, and motion artifacts The biggest breakthrough is the 100dB dynamic range. Instead of relying on multiple exposures for HDR, the L910 captures a much wider dynamic range in a single shot, preserving more detail in bright highlights and dark shadows while producing cleaner, more natural-looking images. Sony says mass production will begin in late summer 2026, which means we could start seeing the LYTIA L910 appear in next-generation flagship smartphones launching later this year or in early 2027, depending on each manufacturer's development cycle. If the real-world performance matches Sony's claims, the LYTIA L910 could become one of the most important smartphone camera sensors of the next flagship generation. 📸

Sony unveiled the LYTIA L910, its first smartphone image sensor with LOFIC (Lateral Overflow Integration Capacitor) technology, and it could be one of the biggest camera upgrades we've seen in years. Key specifications: - 50MP effective resolution - 1/1.28-inch stacked CMOS sensor - 1.22μm pixel size - Quad Bayer color filter - Sony's 2-layer transistor pixel architecture - LOFIC + Triple Conversion Gain (TCG) HDR - Ultra High Conversion Gain (UHCG) circuit - Up to 100dB dynamic range (around 16.6 stops) in a single exposure - Around 30% lower random noise than the LYTIA L828 - Supports 4K 60fps HDR video with lower power consumption - Reduces HDR ghosting, highlight clipping, crushed shadows, and motion artifacts The biggest breakthrough is the 100dB dynamic range. Instead of relying on multiple exposures for HDR, the L910 captures a much wider dynamic range in a single shot, preserving more detail in bright highlights and dark shadows while producing cleaner, more natural-looking images. Sony says mass production will begin in late summer 2026, which means we could start seeing the LYTIA L910 appear in next-generation flagship smartphones launching later this year or in early 2027, depending on each manufacturer's development cycle. If the real-world performance matches Sony's claims, the LYTIA L910 could become one of the most important smartphone camera sensors of the next flagship generation. 📸

Abhishek Yadav

12,181 views • 3 months ago

DALL-E 3 Double Exposure Images Using ChatGPT's Custom Instructions. 🔖 Bookmark and Repost! If you find this useful, please share it with others! You can now easily create double exposure images by using the syntax Color::subject1::subject2 You can either input this directly into DALL-E 3 before generating images or incorporate it into your custom instructions. This command will automatically use the fixed prompt to generate 4 different images, each with a unique seed value. Paste this under ChatGPT's Custom Instructions or DALL-3 before starting conversation. { DE": { "Instruction": "Using will only use generic prompt and update place holder varaibles and nothing else' Genric Prompt: "Construct a [Color] double exposure image where [Subject #1] is intricately superimposed within the confines of [Subject #2], all set against a stark white background.' Create 4 images with different seeds without modifying the generic prompt." You will first create two images. Within the same request, you will generate two more without asking for any input from the user. In general, you will always create 4 images. Your response should be something like this: 'Here are the first two images along with their seed details.' You must always provide the seed number details for that image after it's rendered. Then 'I'll generate the next two images.' And finally 'Here are the remaining two images along with their seed details.' You will always use wide aspect ratio and You must always provide the seed number. When command is activated display full instruction and also confirm that you will only use genric prompt and nothing else and update only varaiable", "CommandFormat": "color::subject1::subject2", "Response": { "Initial": "Creating images based on the provided subjects...", "AfterFirstSet": "Here are the first two images along with their prompt and seed details.", "AfterSecondSet": "Here are the remaining two images along with their prompt and seed details." }, "ActivationCommand": "/activate DE" } } Example: To activate type: /activate DE Notes Start giving prompt like this blue::mountain::wolf red::city skyline::dancer green::forest::lion If you found this post helpful, don't forget to hit the like and follow buttons, and share it with others who might find it useful.

DALL-E 3 Double Exposure Images Using ChatGPT's Custom Instructions. 🔖 Bookmark and Repost! If you find this useful, please share it with others! You can now easily create double exposure images by using the syntax Color::subject1::subject2 You can either input this directly into DALL-E 3 before generating images or incorporate it into your custom instructions. This command will automatically use the fixed prompt to generate 4 different images, each with a unique seed value. Paste this under ChatGPT's Custom Instructions or DALL-3 before starting conversation. { DE": { "Instruction": "Using will only use generic prompt and update place holder varaibles and nothing else' Genric Prompt: "Construct a [Color] double exposure image where [Subject #1] is intricately superimposed within the confines of [Subject #2], all set against a stark white background.' Create 4 images with different seeds without modifying the generic prompt." You will first create two images. Within the same request, you will generate two more without asking for any input from the user. In general, you will always create 4 images. Your response should be something like this: 'Here are the first two images along with their seed details.' You must always provide the seed number details for that image after it's rendered. Then 'I'll generate the next two images.' And finally 'Here are the remaining two images along with their seed details.' You will always use wide aspect ratio and You must always provide the seed number. When command is activated display full instruction and also confirm that you will only use genric prompt and nothing else and update only varaiable", "CommandFormat": "color::subject1::subject2", "Response": { "Initial": "Creating images based on the provided subjects...", "AfterFirstSet": "Here are the first two images along with their prompt and seed details.", "AfterSecondSet": "Here are the remaining two images along with their prompt and seed details." }, "ActivationCommand": "/activate DE" } } Example: To activate type: /activate DE Notes Start giving prompt like this blue::mountain::wolf red::city skyline::dancer green::forest::lion If you found this post helpful, don't forget to hit the like and follow buttons, and share it with others who might find it useful.

AshutoshShrivastava

34,307 views • 2 years ago