This is the now deleted teaser for the 60 Minutes report on El Salvador's CECOT prison where Trump deported hundreds of Venezuelan migrants that was pulled from tonight's broadcast. https://t.co/YmtHX0VrVY

https://t.co/XCOMXjRIRk

https://t.co/XCOMXjRIRk

Nearly all 40 million people in California are under a Flood Watch. https://t.co/P7CmOxje4t

every time https://t.co/Kc5dLj0xIq

every time https://t.co/Kc5dLj0xIq

Joe Pesci’s fit on the Home Alone press featurette: https://t.co/woR0sjLF17

Joe Pesci’s fit on the Home Alone press featurette: https://t.co/woR0sjLF17

MACROHARD from space https://t.co/Ac0ndsQTCA

New Tesla Supercharger now open in Mount Sheridan, QLD (6 stalls) - the most northern Supercharger site in AU Built in partnership with the Queensland Government https://t.co/p1Ik39Tt6H… https://t.co/8JSYJvQ0nw

One glorified Charlie Kirk getting kiIIed One politely asked to "speak English" Guess who got fired by her school? https://t.co/GkmrEUPZJp

Every European country is now below replacement fertility. Civilizations disappear when they stop having children. Wake up, Europe. https://t.co/OepHSyQfeN

HH Sheikh Khalid & Elon Musk in Abu Dhabi ❤️ https://t.co/dDYn0KmCvG

New Tesla Supercharger: San Francisco, CA - Lombard Street (16 stalls) https://t.co/JLCG9lkwXN https://t.co/c9xTcqMYBP

BREAKING: Beloved school bus driver in PA fired over sign asking kids to speak English https://t.co/LUogFggtWE

We’ve published an official vLLM Recipe for serving XiaomiMiMo/MiMo-V2-Flash—including tool calling, DP/TP/EP configs, and the key knobs to tune context length, latency, and KV cache. Commands are in the images; highlights below. 💡 Tips: - Set --max-model-len to manage memory (common: 65536, max: 128k) - Balance throughput vs latency with --max-num-batched-tokens (prompt-heavy: 32768; lower to 16k/8k for lower latency/activation mem) - Increase KV cache with --gpu-memory-utilization 0.95 (default is conservative) - Tool calling needs the right parsers (see screenshot flags) - “Thinking mode” in API: set "enable_thinking": true; disable by setting it to false or removing chat_template_kwargs 📑 Recipe + full details: https://t.co/MpUFWCPGjm Thanks to @XiaomiMiMo and the community for the contributions!

The AI lip-sync problem is officially SOLVED. Seedance Pro 1.5 Pro is the new SOTA model: - Native lip-syncing - Character performances that perfectly match the motion and emotion. Here's a 2-minute scene made to feel as real as possible. Copy my complete workflow below ⬇️ https://t.co/4LrvM7Vu4q

Just a very different approach to creation that involves both experimentation and refinement. This was when I was playing with images for my post on the analogy of AI as a "wizard" - experimenting with various moods and styles at high speeds, selecting interesting variations. https://t.co/Y4OhxMvit9

UPS is using a herd of robots and AI to spot fake returns. https://t.co/gCM7roYhfs @verge https://t.co/52SnOZe9Xj

Humanity May Reach Singularity Within Just 4 Years, Trend Shows https://t.co/mkNaEFzdGa @darrenthewalrus @popmech

Good morning Reachy! Just finished building the @pollenrobotics @huggingface Reachy Mini. Way beyond my expectations on the quality & polish of the product. From the excellent manual to the desktop app & SDK, all were a pleasure to use. https://t.co/svSShR4ABz

@youwouldntpost What a bunch of bitches https://t.co/vnRaFGCgx7

solstice sunset https://t.co/15dTgrxrBz

one thing about mhatwt is that we're all a happy family 💖 https://t.co/Kd47yeXfxU

A new mind-blowing finding: causal prediction alone is sufficient for strong visual learning, no need for any fancy reconstruction, masking, or contrastive loss In this paper NEPA, instead of reconstructing pixels, they train a vision model to autoregressively predict the next patch embedding and that alone yields strong visual understanding, matching or beating DINO and JEPA with a far simpler setup now trending on alphaXiv 📈

Measurements are a little noisy on the low end of concentration. I might need to boil off 80 or 90% of the teas next time to get them into the more reliable range, but neat what some stats on a phone camera pic can do :) green < white << black << coffee https://t.co/LRS5Gcbp57

This AI comment parses as meaningful at first glance and is only obviously slop upon a second meaning. Desk rejects and other quality filters keep peer review somewhat functional by rejecting obvious bad papers fast , but they break down when every paper requires a second read. https://t.co/TVIGL00FUw

I would judge this a win by Gemini and a close second from Claude. ChatGPT-5.2 missed the reference (though, to be fair, it did write a surprising amount of successful code to actually enhance the image) and Grok wasn't in the ballpark. https://t.co/afj0YkYe99

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Looking back on a year of AI blunders https://t.co/rMmaFrKeEa @pilitaclark @ft