“Tron” was disqualified from the 1982 Best Visual Effects Oscar because the Academy felt using computers was “cheating”. 3 years later, Spielberg’s “Young Sherlock Holmes” received a VFX nomination specifically for use of CG. https://t.co/Aq7VYSyPRM

Trent Reznor reveals how Nine Inch Nails came to find themselves supporting David Bowie on his "Outside Tour" in 1995. "I didn't know him, but I had left every possible breadcrumb of flattery in any interview I'd ever done... We had just finished a long wave of touring. We were burnt out. I wasn't in the best shape personally, and we'd just said we have to take some time off. The phone rings... David Bowie [tells me he] just did an album with [Brian] Eno, saying, 'It's very weird. It's not what the audience wants, but it's what I need to do. And the only band I'd want to be onstage with is you guys. Would you like to go on a tour this summer?' Before he finishes the sentence, [I respond] 'Yes, of course.' "We were faced with a strange predicament at that time, because at that moment Nine Inch Nails were a bigger concert draw than David Bowie, as impossible as that seems. And there was no possible way that David Bowie's gonna play before Nine Inch Nails. So, I talked it over with David: 'Maybe both bands join the stage at the same time, then I'll stay for a song with you guys and it morphs into your show...' He was completely up for it and it worked. It became a way to make it less about two bands on tour, and more about a unique experience." 📸: Kevin Mazur / Getty Images

? https://t.co/p7wtMJEDCB

? https://t.co/p7wtMJEDCB

Oh there's a terrifying man from your nightmares lurking out back? Haha let's go check it out. It's just a dream. Anyway, you go first https://t.co/6Rs4T5Nw4X

Grok progress 2025: • Grok 3 – February • Grok 4 – July • Grok Imagine – July • Grok Code Fast 1 – August • Grok 4 Fast – September • Grokipedia – October • Grok 4.1 – November • Grok 4.1 Fast – November • Grok Voice Agent API – December https://t.co/GusvrTwIkX

Did you know that Grok saves time? Grok does web searches, creates documents, videos or games for you. And it does all this in a matter of minutes, which would take hours, days, or weeks to do manually. https://t.co/OyGKmWShFE

Unlock your potential and join our growing community. Download our Whitepaper to learn more about the Nativerse. Telegram: https://t.co/rUAGS9RBs3 and Discord: https://t.co/wFgDZpet3i #MetaverseNFT #CryptoCommunity #CryptoNews https://t.co/vQWz04mrpT

Nativs can generate passive income from land, businesses and NFTs rather than a traditional staking method whereby users lock away their tokens for a fixed period of time and lose control of those assets. Click here to read the whitepaper👇 https://t.co/iSASK6qll3 #NFTsCommunity

What characteristics do Standout companies share? They "do things differently” more than “do things more efficiently.” We find that they use a combination of five strategies to set themselves apart from other firms. Discover five bold strategies: https://t.co/gak7byN6Vg https://t.co/gsnjMPQPGv

How Buffett and Munger judge top execs https://t.co/n8ajYyX3As

How Buffett and Munger judge top execs https://t.co/n8ajYyX3As

World's first 10,000-qubit processor marks 100× quantum scaling leap https://t.co/Fl37uuBYck

World's first 10,000-qubit processor marks 100× quantum scaling leap https://t.co/Fl37uuBYck

Use #AI to Learn Anything Faster by @DAIEvolutionHub #ArtificialIntelligence #MachineLearning #ML #DL https://t.co/7xcVgxbM3K

Buffett's 10 rules for investing: https://t.co/c6Izry8VJO

Buffett's 10 rules for investing: https://t.co/c6Izry8VJO

Revolut clashes with former staff over tax on share awards https://t.co/NR6NyCg9Q7 @laith_alkhalaf @IvanLevingston @ft

YouTube Shuts Down Channels Using AI To Create Fake Movie Trailers Watched By Millions https://t.co/TEWArOyxtO @Jake_Kanter @Deadline @ai_mediastalker

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

Fraudsters use AI to fake artwork authenticity and ownership https://t.co/NkpgvwFqAN @leee_harris @ft

AI hiring is here. It’s making companies — and job seekers — miserable https://t.co/wzhgRs99xU

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

Why AI is a nightmare for the EU https://t.co/1Y8RxBo6eL @calder_mchugh @politicomag @POLITICOEurope

US mortgage lenders insure against artificial intelligence screening errors https://t.co/ePOp7O2ohn @leee_harris @ft

In Graphic Detail: The state of AI referral traffic in 2025 https://t.co/1uP3G74U0k @Digiday

VRバドミントン 凄すぎん？wwwwwwwwww https://t.co/T7Z3Ta3JPr

Is LLM ready for real scientific discovery? To find out, we gathered 50+ scientists from 20+ institutions establishing a multi-level evaluation framework: Not only on questions, but also on research scenarios and projects Current science benchmarks (like GPQA and MMMU) ask AI to answer quizzes. But science isn't a quiz. It’s an iterative loop of hypothesis, experiment, and analysis. Mastery of static, decontextualized questions, even if perfect, does not guarantee readiness to discovery, just as earning straight A’s in coursework does not indicate a great researcher. Today, we introduce Scientific Discovery Evaluation (SDE): A benchmark grounded in real-world research projects. There, research projects are decomposed into modular research scenarios from which vetted questions are sampled. LLMs are evaluated on 1. Question-level: targeted, expert-written problems embedded in real research scenarios (elucidating structure from NMR, forward reaction prediction, etc.), NOT sub-domains (analytical chemistry, inorganic materials, etc.) 2. Project-level: realistic scientific discovery loops (e.g., molecular design, materials discovery, protein engineering) where models must iteratively propose, test, and refine hypotheses. With a joint force of 50+ scientists from 20+ institutes, we gathered 8 projects, 43 research scenarios, and 1125 questions. Evaluation on these multiple levels reveals where current models succeed, where they fail, and why. It is of great joy to work with a 50+ author team in my first time of life - Thanks to you all for making it happen. @hello_jocelynlu, @YuanqiD, @BotaoYu24, @HowieH36226, @rogerluorl18, @YuanhaoQ, @YinkaiW, @Haorui_Wang123, @JeffGuo__, @SherryLixueC, @MengdiWang10, @lecong, @ParshinShojaee @KexinHuang5 @chandankreddy, @realadityanandy, @pschwllr, @KulikGroup, @hhsun1, @MoosaviSMohamad, and many others who are not in the x-universe. Also it’s exciting to see a concurrent release from @OpenAI on FrontierScience yesterday (@MilesKWang)! Their findings on the need for harder, expert-vetted evals, especially the huge performance gap between Olympiad and research questions, echo ours. SDE takes this a step further by moving beyond expert-level Q&A to explicitly evaluate the end-to-end discovery loop with project-level execution, where more finer-grained observations are thereby made possible. Core Findings Below:

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