FORGE Fine-grained Multimodal Evaluation for Manufacturing Scenarios paper: https://t.co/JzFgB7JBKQ https://t.co/RYeyOwyMxi

Is ultra detailed geometry the biggest upgrade in #Hyper3D Rodin Gen-2.5? No — not even close. 🔥 There’s something way more impactful for text/image-to-3D. Waitlist opens today 🚀 Reply and I’ll catch you up 👇 #Rodin #3D #CG #gaming https://t.co/N1AHzCWHm8

EVs ranked by total unit sold in the U.S. in Q1 2026. 1) Tesla Model Y: 78,591 2) Tesla Model 3: 31,672 3) Toyota bZ: 10,029 4) Hyundai Ioniq 5: 9,790 5) Chevrolet Equinox EV: 9,589 6) Rivian R1S: 5,494 7) Ford Mustang Mach-E: 4,600 8) Lexus RZ: 4,456 9) Tesla Cybertruck: 3,519 10) Cadillac Lyriq: 3,370 11) Honda Prologue: 3,319 12) Rivian EDV: 3,213 13) Subaru Solterra: 3,041 14) Cadillac Optiq: 2,847 15) Kia EV9: 2,740 16) Tesla Model X: 2,346 17) BMW i4: 2,184 18) Kia EV6: 2,023 19) Hyundai Ioniq 9: 1,990 20) Cadillac Vistiq: 1,902 21) BMW iX: 1,788 22) Rivian R1T: 1,658 23) GMC Hummer EV: 1,653 24) Lucid Gravity: 1,631 25) Cadillac Escalade IQ: 1,432 26) Chevrolet Silverado EV: 1,406 27) Volvo EX30: 1,373 28) GMC Sierra EV: 1,288 29) Tesla Model S: 1,172 30) Chevrolet Blazer EV: 1,077 31) Lucid Air: 920 32) olkswagen ID. Buzz: 839 33) Hyundai Ioniq 6: 829 34) Porsche Macan Electric: 822 35) Chevy Bolt EV/EUV: 791 36) Volvo EX90: 702 37) Nissan Leaf: 668 38) BMW i5: 645 39) Chevrolet BrightDrop Zevo: 496 40) Porsche Taycan: 458 41) Mercedes EQE: 397 42) Volkswagen ID.4: 338 43) Audi Q6 e-tron: 318 44) Mercedes G-Class EV: 245 45) Ram ProMaster EV: 223 46) Mercedes EQS: 206 47) Mercedes eSprinter: 202 48) Mini Countryman Electric: 200 49) Ford E-Transit: 200 50) Jeep Wagoneer S: 175 51) Audi A6 e-tron: 135 52) Genesis GV60: 117 53) Audi Q4 e-tron: 96 54) Acura ZDX: 73 55) Fiat 500e: 68 56) Mercedes EQB: 62 57) Nissan Ariya: 56 58) Hyundai Kona Electric: 53 59) Genesis GV70 EV: 47 60) Jeep Recon EV: 18 61) Toyota C-HR EV: 13 62) Audi Q8 e-tron: 2 63) Mini Cooper Electric: 2 (via new Cox Automotive data)

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South Africa’s ANC government is pushing even more racist rules that help only black people and shut out everyone else: • They’re giving R50 billion (from a big foreign loan) to a new “Transformation Fund”, but the money can ONLY go to black-owned and black-managed businesses. Whites, Indians, Coloureds and Asians are completely banned just because of their race. • Companies can now simply pay cash into a giant R100 billion fund to “buy” their Black Empowerment points. The money still only helps black entrepreneurs , no real ownership or merit needed. • Employment Equity laws force strict racial hiring quotas on every company. You must hit race targets for who you hire and promote, or face huge fines. • BEE rules punish businesses unless they give ownership, top jobs and supplier deals based purely on race. • Government contracts and tenders strongly prefer black-owned companies, better or cheaper non-black businesses lose out automatically. This is straight-up government racism. @elonmusk was right, the ANC’s racist anti-merit agenda is destroying South Africa.

The Modular Community Grant Program is open! If you're building on MAX or Mojo 🔥, hosting a meetup, or speaking at a conference, there's funding for that. Grants start at $500 and scales with scope. https://t.co/xXZFIURkfB

OpenAI’s chief revenue officer sent a 4-page memo to employees on Sunday about the company’s strategic direction, emphasizing the need to lock in users, build a moat and grow its enterprise business. (It also threw shade at its longtime rival Anthropic.) https://t.co/Wl6XicP7h3

I made Wrapped but for your taxes. See what the government spent with your money https://t.co/aQubyViBiv

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I made Wrapped but for your taxes. See what the government spent with your money https://t.co/aQubyViBiv

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HeyGen CLI -> https://t.co/QGghNTaLpR

HeyGen CLI -> https://t.co/QGghNTaLpR

dflash-mlx: DFlash speculative decoding, ported to Apple Silicon. Qwen3-4B at 186 tok/s on a MacBook. 4.6× faster than plain MLX-LM. Exact greedy decoding: output matches plain target decoding. https://t.co/VxfyworgAe

@kaiostephens @DJLougen PR for dflash-mlx to support qwen3_5_text @ https://t.co/qJ62hc99dh

GLM-5.1 sunset racing game on Hugging Face is kind of fun to play app: https://t.co/PncE29Xu0C https://t.co/3U0s9DJFeb

We’re open sourcing the first document OCR benchmark for the agentic era, ParseBench. Document parsing is the foundation of every AI agent that works with real-world files. ParseBench is a benchmark that measures parsing quality specifically for agent knowledge work: ✅ It optimizes for semantic correctness (instead of exact similarity) ✅ It has the most comprehensive distribution of real-world enterprise documents It contains ~2,000 human-verified enterprise document pages with 167,000+ test rules across five dimensions that matter most: tables, charts, content faithfulness, semantic formatting, and visual grounding. We benchmarked 14 known document parsers on ParseBench, from frontier/OSS VLMs to specialized parsers to LlamaParse. Here are some of our findings: 💡 Increasing compute budget yields diminishing returns - Gemini/gpt-5-mini/haiku gain 3-5 points from minimal to high thinking, at 4x the cost. 💡 Charts are the most polarizing dimension for evaluation. Most specialized parsers score below 6%, while some VLM-based parsers do a bit better. 💡 VLMs are great at visual understanding but terrible at layout extraction. GPT-5-mini/haiku score below 10% on our visual grounding task, all specialized parsers do much better. 💡 No method crushes all 5 dimensions at once, but LlamaParse achieves the highest overall score at 84.9%, and is the leader in 4 out of the 5 dimensions. This is by far the deepest technical work that we’ve published as a company. I would encourage you to start with our blog and explore our links to Hugging Face to GitHub. All the details are in our full 35-page (!!) ArXiv whitepaper. 🌐: Blog: https://t.co/57OHkx0pQW 📄 Paper: https://t.co/Ho2oH2xEAM 💻 Code: https://t.co/6P7UxqOZYA 📊 Dataset: https://t.co/YguIXWm41j 🎥 YouTube: https://t.co/6Fh1Nsk9ei

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GLM-5.1 > Claude Code (Opus 4.6)? I'm tripping or CC has become very bad but built a Three.js racing game to eval and it's extremely impressive. Thoughts: - One-shot car physics with real drift mechanics (this is hard) - My fav part: Awesome at self iterating (with no vision!) created 20+ Bun.WebView debugging tools to drive the car programmatically and read game state. Proved a winding bug with vector math without ever seeing the screen - 531-line racing AI in a single write: 4 personalities, curvature map, racing lines, tactical drifting. Built telemetry tools to compare player vs AI speed curves and data-tuned parameters - All assets from scratch: 3D models, procedural textures, sky shader, engine sounds, spatial AI audio! - Can do hard math: proved road normals pointed DOWN via vector cross products, computed track curvature normalized by arc length to tune AI cornering speed You are going to hear about this model a lot in the next months - open source let's go 🚀🚀

As a Catholic, I find it abhorrent that the President of the United States would publicly attack the Successor of St. Peter. Donald Trump is flailing. His war in Iran has led to the death and injury of American servicemembers and the death of Iranian children. He will attack anyone or anything to try to protect himself, even the Church that millions of Americans find faith and comfort in every day. The American people deserve a president who understands the consequences of his words and takes responsibility for his actions.

Need to step away or just want to continue working on a different device? You can now remote control GitHub Copilot CLI sessions from any device. Just run /remote to continue with a single click. https://t.co/2yJVnedtlo

The ability to remote control GitHub Copilot CLI sessions on web and mobile is now in public preview. Try it out and let us know what you think. https://t.co/7LwvnojWeH https://t.co/4jkULReQwn

Alienated Europe Alienated the religious right Alienated Rogan, Carlson and many more Declared a war that even he can’t justify Messed up the Middle East Drove up the price of oil Drove up inflation Undermined the global economy And all that is in the last 3.5 months. https://t.co/ObZanVUyY9

ChatGPT in March 2026: → 5.73 billion visits → Up 7.08% from February → The fifth-highest monthly traffic in its history https://t.co/42CjpLmvSU

my version of the dao https://t.co/hK9XTY3DZL

Zamp is shaping enterprise automation with AWS. The startup is enabling everyone with ideas to build with AI agents, says Co-founder Raghav Saraf. Using Amazon Bedrock and AWS managed services, @zamp_ai is enabling organizations to automate workflows, accelerate onboarding, and reduce operational backlogs from months to days.

Introducing the #AIIndex2026: Our most comprehensive, independently sourced data analysis of AI’s trajectory, with a clear-eyed assessment of the critical gaps that remain. As AI advances rapidly, can the systems built around it keep up? Explore the data: https://t.co/WqRGeRZIjA https://t.co/NUsCIIQuBi

Brian Cox captures the moment we are in. AI holds enormous promise, but its full potential and risks remain uncertain, making it both exciting and unsettling at the same time. The reality is simple. We are building something powerful without fully knowing where it leads. https://t.co/ynCdKlbkI7 @ProfBrianCox @siancain @guardianaus

PI HARD. Tomorrow. https://t.co/XrCbLNhkxI

“Americans die of treatable conditions at nearly twice the rate as Spaniards, French, Japanese and Australians,” but Trump wants to divert huge sums from healthcare to vastly increase the military to fight his pointless wars. https://t.co/3EMAa2fLng

WARREN BUFFETT ON WHY HE BOUGHT APPLE $AAPL DESPITE NOT KNOWING HOW TO USE A PHONE “I wouldn’t be any good at it. I’m so late to the game. I don’t know what to do with the phone.” “But I just recognize the fact that you’re gonna have one, and your kids are gonna want one, and it is incredibly useful.” “All I had to do was go to Nebraska Furniture Mart and talk to the customers. That’s what I did 60 years ago with American Express.” In the 1960s, when everyone thought AmEx was done, Buffett went to banks and asked if they were still getting a premium for American Express travelers checks. They were. He bought the stock. Same playbook with Apple. He didn’t understand the tech. He understood the customer.

Good Reread. AI demand is starting to run into physical limits. The surge in usage is straining compute capacity, forcing companies to ration access and slow product rollouts, even as expectations keep rising. It is an early signal. The AI boom is not just about innovation but also about whether infrastructure can keep up. A good reminder is OpenAI’s decision to shut down its Sora video tool. Even the most hyped products can hit hard limits when compute, cost, and economics don’t align. https://t.co/ziKXPDjKmy @berber_jin1 @jtoonkel @WSJ

ELT: Elastic Looped Transformers for Visual Generation "We introduce Elastic Looped Transformers (ELT), a highly parameter-efficient class of visual generative models based on a recurrent transformer architecture. While conventional generative models rely on deep stacks of unique transformer layers, our approach employs iterative, weight-shared transformer blocks to drastically reduce parameter counts while maintaining high synthesis quality."

Efficient RL Training for LLMs with Experience Replay "Empirically, we show that a well-designed replay buffer can drastically reduce inference compute without degrading – and in some cases even improving – final model performance, while preserving policy entropy." https://t.co/8KeFNPQ4mK

AI is starting to change even the most personal habits. Journaling apps that respond, reflect and offer feedback are turning a private activity into something interactive, with users describing the experience as having a “new best friend.” It blurs a subtle line. Reflection becomes conversation, and solitude becomes something shared. https://t.co/pWY9N5RWUL

Alex Karp is drawing a sharp line in the AI job debate. He argues that roles tied to the humanities could be heavily disrupted, while vocational and hands-on skills may see stronger demand. The shift is not just about jobs disappearing. It is about which skills remain valuable in an AI-driven economy. https://t.co/STQWnabNe1 @fortunemagazine