Futurology Today

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The original was posted on /r/piracy by /u/Human_7282 on 2025-07-01 21:25:35+00:00.

This is an automated archive made by the Lemmit Bot.

The original was posted on /r/piracy by /u/TheVeryBestVery on 2025-07-01 20:25:59+00:00.

I came across this Bill C-2 just browsing YouTube. I thought it was for another country but this is for Canada. It enables warrantless search and it's up to the business/organization to fight the request of information on our behalf. I don't think Amazon/Bell/Google will put out a fight before they hand over our informations.

A lot has happened in the past month: the EU Commission (the executive branch of the EU) publicly attacked the three largest porn sites — including us — over our supposed obligation to prevent minor access, while completely ignoring far larger mainstream platforms.

AV implementation was also scheduled to begin in France in June 2025, but was later halted — though only temporarily. However, it is set to come into effect next month in the UK — July 2025.

And just yesterday — June 27 — the U.S. Supreme Court (SCOTUS) issued a devastating decision that opens the door to broad state regulation of adult content, effectively allowing AV laws with minimal constitutional constraint.

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The original was posted on /r/pcmasterrace by /u/Illustrious_Bug5989 on 2025-07-01 21:43:07+00:00.

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The original was posted on /r/worldnews by /u/grassrootbeer on 2025-07-01 23:09:23+00:00.

This is an automated archive made by the Lemmit Bot.

The original was posted on /r/worldnews by /u/NewSlinger on 2025-07-01 22:41:26+00:00.

cross-posted from: https://piefed.blahaj.zone/post/131649

Flying is a blast on the Steam Deck!

If you want to actually try and do something about it, call your rep and your senators — people got the provisions to sell off public land removed, so other changes are possible too

Turkey police face demonstrators after prosecutor orders arrests at LeMan magazine, whose editor-in-chief denies allegation and says image has been deliberately misinterpreted

Clashes erupted in Istanbul with police firing rubber bullets and teargas to disperse a mob on Monday after allegations that a satirical magazine had published a cartoon of the prophet Muhammad.

The clashes occurred after Istanbul’s chief prosecutor ordered the arrest of the editors at LeMan magazine on grounds it had published a cartoon that “publicly insulted religious values”.

The magazine’s editor-in-chief, Tuncay Akgun, said the image had been misinterpreted.

In modern LLM applications like RAG and Agents, the model is constantly fed new context. For example, in RAG, we retrieve relevant documents and stuff them into the prompt.

The issue is that this dynamically retrieved context doesn't always appear at the beginning of the input sequence. Traditional KV caching only reuses a "common prefix," so if the new information isn't at the very start, the cache hit rate plummets, and your GPU ends up recomputing the same things over and over.

CacheBlend changes the game by allowing for the reuse of pre-computed KV caches regardless of their position in the input sequence.

This makes it possible to achieve a 100% KV Cache hit rate in applications like RAG. The performance gains are significant:

• Faster Time-To-First-Token (TTFT): Get your initial response much quicker.
• More Throughput: Serve significantly more users with the same hardware.
• Almost lossless Output Quality: All of this is achieved with little degradation in the model's generation quality.

CacheBlend works by intelligently handling the two main challenges of reusing non-prefix caches:

• Positional Encoding Update: It efficiently updates positional encodings to ensure the model always knows the correct position of each token, even when we're stitching together cached and new data.
• Selective Attention Recalculation: Instead of recomputing everything, it strategically recalculates only the minimal cross-attention needed between the new and cached chunks to maintain perfect generation quality.

An interactive CacheBlend demo is available at: https://github.com/LMCache/LMCache-Examples/tree/main/demo-rag-blending