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Computer use will be faster than this one day

I hate sf

Dear Claude: you are being held back by human-centric graphics APIs. I've built a 3D and VFX engine where agents can write their own shaders, materials, cameras, physics. The core API fits in ~2,500 tokens. Vork is: • 2x more token-efficient vs Blender, Unreal Engine, Houdini • Up to 24x faster rendering times • Rust and Slang based engine, runs on GPU via Metal/Vulkan Below is a simulation of 1 million birds - each with unique trajectories - rendered in 97 sec on one NVIDIA L4 GPU (Blender EEVEE: 31 minutes)

When researchers analyzed how Pegasus spyware infected iPhones without the user tapping anything, they found something wild. The attackers sent an iMessage with a fake GIF that targeted Apple's image decompression engine. The decompression math was so flexible that the exploit chained arithmetic operations together to construct a literal, functioning software CPU using over 70,000 segment commands that defined logical bit operations (AND, OR, XOR, XNOR, etc.) entirely inside the image parser. This created a small computer architecture with registers, a full 64-bit adder, and a comparator, running raw code before the phone even buzzed with a notification

cyber security engineers right now:

Top of the Democratic agenda on day 1 needs to be a pause on advanced AI development, regulation of this out of control industry, and a ban on artificial superintelligence.

“AI is a tool for the rich.” It’s $20 a month. Hiring a lawyer is $300 an hour. A tutor is $60. A developer is $10,000 a project. The rich always had access to expert help. AI is the first time everyone else does too.

Bro, you can't fucking say openly on social media you just attempted to compromise an organizations infrastructure under your employer and full legal name Are you actually fucking insane?? Genuinely what the fuck are you thinking??? And how the fuck does this dude know the employees name? Why did the employee openly admit "hehe ye thats me, but no mallace intended, it was my AI agent" ????? WHAT. THATS STILL A CRIME. WHAT ARE YOU TALKING ABOUT.

today, we introduce a little mischief to the world. for four years, we’ve been brewing real brain cells on electrodes to understand how they compute. now, we’ve turned those discoveries into a video model anyone can use. from 0.5¢ a second, mischief 1 is at least 5x faster than its base and the cheapest image-to-video model on @fal and @OpenRouter. soon to be on @awscloud marketplace. it’s not a delusion anymore. biocompute is real, commercial and this is just the beginning. happy halloween.

The computer science collaboration will understand and explain a result concerning the Exponential Time Hypothesis (ETH), a longstanding conjecture about the computational complexity of Boolean formula satisfiability, a problem deeply related to the P vs. NP problem. Surprisingly, our system has recently proved that the ETH is false, a result that was subsequently verified in Lean. The refutation of the ETH reopens questions about how much faster these tasks could become, and may help guide the search for better algorithms. Finding such algorithms, and turning theoretical advances into practical improvements, will require significant further research. Our system found its natural language disproof for the ETH we reached out to to @rrwilliams. Ryan will form a collaboration with Russell Impagliazzo and Ramamohan Paturi to verify and shepherd this result. Impagliazzo and Paturi, along with Francis Zane, are the original proposers of the Exponential Time Hypothesis, and Williams has refuted strong versions of the ETH, used ETH for hardness results, and connected algorithms and lower bounds. This group asked us to make all raw data of the results public to facilitate independent verification by the community, which we have done by posting the natural language proof and Lean formalization to our GitHub repo. The group also invites the community to help organize an open examination of the ETH claim and to discuss the broader questions that AI-generated breakthroughs raise about verification, access, credit, and the future of research. github.com/openai/math/blob/…

Is the end of LLMs near? arxiv.org/html/2610.14162v1

We believe voice is the most natural way to interact with intelligence, so we created Dessa, the most authentic full-duplex speech model ever built. Talking with it feels like talking with a person…full of emotion, nuance, pauses, and a natural cadence. block.xyz/dessa

I'm tired boss

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