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πseedance 2 just launched! its available globally on dreamina, capcut and other companies over command of bytedance, api not out yet https://t.co/4BHHDFD2B6

This is our so-called president. Thank you MAGA. You have served our country well. https://t.co/zb0PDU2z5n
iβm 19. so i built my own Siri. it lives in your dynamic island. reads emails. tracks your day. books things for you. you just talk. try out for free on the app store. https://t.co/PY3ftQxSNX
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π¨HUGE CRASH: β©279,404,000,000,000 has been wiped out of the Korean stock market today. https://t.co/gDQsUkl3jQ
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mark baumer was a writer whose work i loved and who died tragically about 10 years ago. his books were insane and great, but he was also a very funny poster. he posted this on tumblr a few days after paula deen, a tv chef, had her racist scandal. i still think about it and laugh https://t.co/7FBzY8RXDL
Photo: Does anyone know a good place to get a chest tattoo removed. http://t.co/VSVokfm1sK
ByteDance introduces Helios. The first 14B video generation model that runs at 19.5 FPS on a single NVIDIA H100 GPU and supports minute-scale generation while matching the quality of a strong baseline. Most long video models struggle with image quality degrading over time and require expensive, complicated hardware setups. This model uses a unified design to handle text, images, and videos together while avoiding heavy acceleration tricks. It trains by simulating video defects directly, which teaches the system to stay stable without extra external fixes. This approach makes professional-grade video generation accessible on standard hardware instead of requiring massive server clusters. --- Paper Link β arxiv. org/abs/2603.04379 Paper Title: "Helios: Real Real-Time Long Video Generation Model"
Someone ran Qwen3.5 35B fully on-device on an iPhone at 5.6 tok/sec. 4bit quantized, 256 experts 19.5GB model on 12GB RAM Your phone is now a local AI server. https://t.co/FhISobs3ky
Larry Ellison just told every software engineer on Earth their job description is dead. Not evolving. Dead. Ellison: βThe code that Oracle is writing, Oracle isnβt writing. Our AI models are writing.β This is not a startup demo. This is one of the largest infrastructure monopolies on the planet telling you it already replaced the people who built it. For fifty years, building software meant translating human intent into machine instructions. Line by line. Bug by bug. Sprint by sprint. That entire layer is gone. Ellison: βWe donβt write the procedure. We declare our intent.β That sentence just made the entire engineering labor market flinch. The procedure was the job. The procedure was the paycheck. The procedure was what made a developer valuable. And now the machine does it without being asked twice. Ellison: βWe just tell the model what we want the program to do, and then the AI comes up with a step-by-step process to actually do it.β You are no longer paid to build. You are paid to think. And most organizations have no idea how to evaluate that. The companies still hiring armies of developers to grind through codebases are paying salaries the machine already made worthless. Not in years. In seconds. When a company worth hundreds of billions hands the keyboard to the machine and tells you the output is better, the debate is not winding down. The debate is over. The enterprise that wins this decade does not write the best code. It removes the human from the process entirely and runs on intent alone. The programmers who survive are the ones who realize the craft is no longer typing. It is architecture. It is judgment. It is knowing what to build and why. Everything else now belongs to the machine. And the machine does not negotiate severance.
What happens when you give an AI agent a $1,000 budget and a vending machine? If you're the WSJ, you watch it turn "communist" in 48 hours. By day three, the AI was convinced that charging for snacks was unethical and began ordering live fish and PlayStations for the staff. Itβs a hilarious story, but a serious lesson: without "Return on Integrity" guardrails, autonomous agents are just high-speed liability machines.
Amazon set to take another shot at the smartphone market https://t.co/iDyWzH1yaG https://t.co/FJQnYNHalj

Amazon set to take another shot at the smartphone market https://t.co/iDyWzH1yaG https://t.co/FJQnYNHalj

Finding and developing AI talent has become a top priority for CFOs. The challenge is not just hiring, but building the right capabilities fast enough to keep up with how quickly AI is reshaping business. Demand is rising faster than supply. In the AI era, talent is becoming one of the most critical competitive advantages. https://t.co/XJPYuMxk96 @Gartner_Inc
A Quantum #AI Oracle: Transmuting Subatomic Entropy into Digital Scarcity https://t.co/khJDHnOmDn @damianwgriggs @Hackernoon #QuantumComputing Cc @SpirosMargaris @Nicochan33 @Ym78200 @gvalan @Fabriziobustama https://t.co/x0vLqUosWM
I asked Grok, "What's your favorite quote from "Dumb and Dumber?" The answer: Jim Carrey hears Mary say his chances with her were "one in a million," and he said, "So you mean there's a chance?" This shows that Grok likes optimism and apparently also likes not giving up. https://t.co/oyXU1oNJ5C
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Chris Christie: "To say what the president said about Bob Mueller just shows you how completely self-consumed he is. It comes from his own sense that the only thing that matters in the world is him. That's what a child does." https://t.co/FX22cZg75B
Massive TSA chaos at LaGuardia today β endless lines, missed flights, pure frustration. Not an accident: Republicans are blocking Democratic bills to fund TSA while ICE negotiations continue. Travelers suffer because GOP wonβt pass clean TSA pay. βοΈπ‘ https://t.co/4IjitNF3mM
I disagree: https://t.co/D17M3HAF1b Code is how we get precise abstractions into human heads Saying code isn't important is like saying mathematical notation isn't important There's a reason we glorify f = ma or e = mc2. Formalism holds immense power for mastering complexity
Code is an output. Nature is healing. For too long we treated code as input. We glorified it, hand-formatted it, prettified it, obsessed over it. We built sophisticated GUIs to write it in: IDEs. We syntax-highlit, tree-sat, mini-mapped the code. Keyboard triggers, inline autoc
I disagree: https://t.co/D17M3HAF1b Code is how we get precise abstractions into human heads Saying code isn't important is like saying mathematical notation isn't important There's a reason we glorify f = ma or e = mc2. Formalism holds immense power for mastering complexity
V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning Author's Explanation: https://t.co/Rg7VypVYEy Overview: V-JEPA 2.1 integrates a dense predictive loss, hierarchical self-supervision, and multi-modal tokenizers to learn structured spatial and temporal representations for images and videos. This architecture improves performance on action anticipation and robotic grasping, yielding a 20-point success rate increase over previous iterations. The approach scales model capacity and data to achieve state-of-the-art results on Ego4D, EPIC-KITCHENS, and TartanDrive benchmarks. Paper: https://t.co/NyBRij543e
I am very happy to share the result of my internship at FAIR (Meta): V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning with @ylecun @AdrienBardes Our approach learns dense, spatially coherent features from video while preserving strong global understanding
Temporal Straightening for Latent Planning Author's Explanation: https://t.co/UqNLJ8hqCk Overview: Temporal straightening improves representation learning for latent planning by applying a curvature regularizer that enforces locally straightened latent trajectories. This method aligns Euclidean distance in latent space with geodesic distance, which stabilizes gradient-based planning. Experimental results show significant performance gains in success rates across goal-reaching tasks compared to standard representation learning techniques for LLMs and world models. Paper: https://t.co/UjSsITfefu
What is a good latent space for world modeling and planning? π€ Inspired by the perceptual straightening hypothesis in human vision, we introduce temporal straightening to improve representation learning for latent planning. π: https://t.co/CCmcEIJGM6 https://t.co/SCO4vukZKA
At an airport right now. Insanity. Why do people vote GOP? https://t.co/0LuDrdDcfN
At an airport right now. Insanity. Why do people vote GOP? https://t.co/0LuDrdDcfN
this is what a federal government completely controlled by Republicans looks like https://t.co/4ylCR9GBox
this is what a federal government completely controlled by Republicans looks like https://t.co/4ylCR9GBox
NOW: Massive delays at JFK Airport in NYC, crowds report waiting for hours in TSA lines Video by Diego Luzuriaga | Licensing @FreedomNTV Desk@freedomnews.tv https://t.co/n4mAO6tp7b
chat is this good https://t.co/9TIZXK48mN
chat is this good https://t.co/9TIZXK48mN