The open-source AI community just got a new home for their data workflows. 🤗 @huggingface is now available in Adaptive Data. Pull datasets directly into a platform that evolves with the problems you're solving. https://t.co/bwEElkDvUu

In the spirit of accessibility, @huggingface is hosting a space to play with the model, check it out and let us know what you think! https://t.co/ObsmBq0M99

Parsing complex tables in PDFs is extremely challenging. Existing metrics for measuring table accuracy, like TEDS (tree edit distance similarity), overweight exact table structure and underweight semantic correctness. 🚫 Overweight: If the rows within a table are out of order - even if the semantic meaning is still consistent - then TEDS heavily penalizes these values, even though the downstream AI agent would have no problem interpreting the values. 🚫 Overweight: If the HTML is semantic equivalent but output with different tags (th vs. td), TEDS will penalize 🚫 Underweight: If the header is dropped or transposed, then TEDS mildly penalizes these values, even though the entire semantic meaning of the table is destroyed. We recently released ParseBench, a comprehensive enterprise document benchmark with a heavy focus on *semantic correctness* for tables. We define a new metric: TableRecordMatch - which treats tables as a bag of records, where each record is a dictionary of key-value pairs, with keys being the headers and values being the cell values. We combine it with the GriTS metric (more robust than TEDS) to come up with the final GTRM score. It’s worth giving our full paper a read if you haven’t already. Also come check out our website hub! Website: https://t.co/k564afEGJo Blog: https://t.co/57OHkx0pQW Paper: https://t.co/Ho2oH2xEAM

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@liyue_ai @OpenRouter Hmm seems to work for me: https://t.co/gBaaWwv82c

Many are running @NousResearch Hermes Agent now. Here are some practical tips that help a lot, especially if you're coming from OpenClaw: 1. Nightly skill evolution is worth setting up. Link: https://t.co/qPs3QPIYgW Pro tip: Add a second cronjob to evaluate the changes so you don't have to. Make sure it stops anything that tries to game the optimization loop. 2. Install Honcho if you're hitting memory issues. It gives proper cross-session recall, memory synthesis, and better long-term storage. Helps avoid repeating the same mistakes or pulling too much context (and wasting tokens). 3. Consider changing the default session timeout and expiry. Especially useful for threads you don't use every day, prevents the agent from losing context unnecessarily. For those migrating from OpenClaw: 4. Expose your OpenClaw agents as OpenAI-compatible endpoints. This lets you run both side-by-side with zero disruption while you transition. Hermes can call them directly, and your existing crons keep working. 5. On day one, start populating your USER.md and MEMORY.md files. Note for OC users: Hermes has a much smaller character limit than OpenClaw, so populate and curate thoughtfully, don't just dump everything in. Quality over quantity helps it learn you faster. 2,200 for memory and 1,375 for user. Hermes works especially well once you integrate it properly into your workflows. Last tip, don't start changing your skin till your agents are actually doing work. You might never stop and go down the rabbit hole... 🤣

@BLUECOW009 After building this https://t.co/kiuZ7QXLzb (all built on X API) I see that there are millions of apps to be built on X. Highly personalized news is where we are going.

@heyitsgeorg @buildwingman @Sonos Everything fits better in a small room https://t.co/48Wgm5Bufx

Introducing stagewise - the best coding agent for building on the web. - fully open source - ships with a browser and has full access to the debugger - lets you clone designs from ANY website on the internet pixel-perfectly in seconds Would love to get some feedback! https://t.co/2MZPBSnPAE

🚀 Tencent 𝗛𝗬-𝗪𝗼𝗿𝗹𝗱 𝟮.𝟬 just dropped Text or image → 3D world (3DGS + Mesh). Fully automatic. Video world models let you 𝘄𝗮𝘁𝗰𝗵. We let you 𝗲𝘅𝗽𝗹𝗼𝗿𝗲. #worldmodel #HYWorld https://t.co/DD7PXEfOoC

装完 Hermes 之后如何提升使用能力？ 分享一波 Hermes Agent 使用常用网址工具以及命令。 常用网址工具： 1⃣Hermes 官方文档： https://t.co/gE6DxNpnN9 备注：官方使用文档、配置说明 2⃣Github 主仓库： https://t.co/qWm8WaCF59 备注：源码部署教程、更新日志 3⃣中文文档： https://t.co/d4dAbLi3nH 备注：中文使用指南 4⃣中文社区FAQ： https://t.co/QDhcdfvKmS 备注：常见问题解答 5⃣Discord 社区： https://t.co/BJ3VWFdG4n 备注：官方交流群、问题反馈 6⃣Skills 市场： https://t.co/EnsU3sITGe 备注：插件、技能市场 7⃣Hermes 橙皮书： https://t.co/ZoGcTdMF3v 备注：Hermes 从入门到精通 8⃣Hermes Agent 进阶使用技巧：https://t.co/63PeOu7mkd 备注：上手 Hermes Agent 后建议先尝试的十件事情 Hermes Agent 常用命令： 开始聊天：Hermes 继续上次对话：Hermes -c 单次问答：hermes -q“问题” 完整配置向导：hermes setup 选模型：hermes model 看配置：hermes config 设配置项：hermes config set KEY VAL 健康检查：hermes doctor 看状态：hermes status 搜技能：hermes skills search 关键词 装技能：hermes skills install ID 查看装了哪些技能：hermes skills list 配置消息平台：hermes gateway setup 启动网关：hermes gateway start 看状态：hermes gateway status 更新到最新版：hermes update 看记忆统计：hermes memory stats 清理记忆：hermes memory prune 看会话历史：hermes sessions list 帮助：hermes --help 以上纯属兴趣分享，感兴趣的可以参考学习。

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Hermes available as a managed VPS for the most democratic price online. Been developing this host for the last 2 months, but only after Hermes got really interested in playing with AI agents. Check it out on https://t.co/o6aYwGU1G0 Cheers to it's developers @Teknium #hermes https://t.co/14RvbsM6dW

Hermes Agent Meetup @ Hong Kong 🇭🇰 Sovereign AI • Hands-on workshop • Live demos • FinTech-focused talks Date: Sunday, 19 April 2026 Time: 18:30–22:00 Venue: Cyberport Free entry. Builders welcome. #HermesAgent https://t.co/oSDQCegvW7

AI is starting to reshape the book market at scale. Thousands of AI-written or AI-polished books are now being sold, raising concerns about quality, originality and the erosion of human authorship. It feels familiar. What was once a dystopian idea is quietly becoming reality. https://t.co/F0QiJV5LMo @ConversationUS

@chrisalbon https://t.co/w8mtlNBzyn

You think your anonymous accounts are safe. Researchers from ETH Zurich and Anthropic built an AI system that can figure out who you really are. They tested it on Reddit, Hacker News, and LinkedIn. It works on raw text. No structured data needed. They collected 338 Hacker News users who had linked their LinkedIn profiles, then stripped all identifying information from their accounts. The AI correctly re-identified 67% of them. When it made a guess, it got the right person 9 out of 10 times. The cost? Between $1 and $4 per person. The system uses GPT-5.2 for reasoning, Gemini for matching, and Grok 4.1 Fast for shortlisting. It reads your posts, builds a profile of who you are, then searches the internet for your real identity. No human needed. Fully automatic. The old way of doing this? A method based on the famous Netflix Prize attack. It found 0.1% of people. The AI found 45.1% of people at 99% precision. That is a 450x improvement. They also tested it on Reddit. They split 5,000 people's posting histories into two halves separated by a full year. Then they asked the AI to reconnect the two halves. It matched 67.3% of people at 90% precision. The old method? 0.4%. The scariest finding: even when only 1 in 10,000 users in the database had a possible match, the AI still found 9% of them at 90% precision. The researchers wrote: "Pseudonymity does not provide meaningful protection online." They also said: "Users who post under persistent usernames should assume that adversaries can link their accounts to real identities." The more you post, the easier you are to find. Reddit users who discussed 10 or more movies across different communities were identified 48.1% of the time at 90% precision. Governments could use this to track activists. Corporations could use it for targeted ads. Stalkers could use it for $4. This is not a future threat. The attack uses publicly available AI models, standard APIs, and costs less than a cup of coffee per person. Your anonymous account is not anonymous anymore.

Introducing Personality for MuleRun Computer — one computer, six expert personas, switch anytime.🥕 It automatically picks the right skill stack for the job. No prompt engineering, no manual setup. Just one click. https://t.co/HzNxOl2jrT

TIPSv2: Advancing Vision-Language Pretraining with Enhanced Patch-Text Alignment "iBOT++ extends the patch-level self-supervised loss to all tokens for stronger dense alignment; Head-only EMA reduces training cost while retaining performance; and Multi-Granularity Captions uses PaliGemma and Gemini descriptions for richer text supervision."

models: https://t.co/9or7myXNt6 website: https://t.co/VvEa3S6V5J github: https://t.co/U4YxPM4DAK abs: https://t.co/vdyRVBHoMP

Self-Distillation Zero: Self-Revision Turns Binary Rewards into Dense Supervision "SD-ZERO trains a single model to play two roles: a Generator, which produces an initial response, and a Reviser, which conditions on that response and its binary reward to produce an improved response. We then perform on-policy self-distillation to distill the reviser into the generator, using the reviser’s token distributions conditioned on the generator’s response and its reward as supervision. In effect, SD-ZERO trains the model to transform binary rewards into dense token-level self-supervision."

LongCoT: Benchmarking Long-Horizon Chain-of-Thought Reasoning "We introduce LongCoT, a scalable benchmark of 2,500 expert-designed problems spanning chemistry, mathematics, computer science, chess, and logic to isolate and directly measure the long-horizon CoT reasoning capabilities of frontier models." "At release, the best models achieve <10% accuracy (GPT 5.2: 9.8%; Gemini 3 Pro: 6.1%) on LongCoT, revealing a substantial gap in current capabilities."

Opus 4.7 has been spotted on Google Vertex Release should be imminent https://t.co/ocHqwjMZwg

Opus 4.7 has been spotted on Google Vertex Release should be imminent https://t.co/ocHqwjMZwg

Meet @HappyOysterAI from Alibaba ATH, an open‑ended world model built for real‑time world creation and interaction. Be part of the first wave and see what you can build. 🌍✨ #AlibabaAI #HappyOyster https://t.co/LmTISpKJLH

Insane that South Africa has more race laws now then even during apartheid https://t.co/YpNLa0B1dm

"Hey Grok” lets you ask a question or set a location-based reminder Enable via Controls &gt; Audio https://t.co/oEdQiksXR4

The $160,000 Model X Signature Edition is officially sold out. Reservations are now closed. https://t.co/4D5FSkTZTa

Tesla has just released a new app update. Clips downloaded to your phone now finally include details such as speed, steering wheel angle, and Self-Driving state. No more screen recording FSD clips! Here’s what it looks like: https://t.co/6sCIkusKHP

Grok just hit a new all-time high on web traffic. 🔥 More than 326 million visits last month. More people are switching to Grok. https://t.co/L8g4B1AhO8

NEWS: Senior Government Members Lie About Starlink in South Africa Parliamentary chair Khusela Diko claims Starlink’s FREE high-speed internet for 5,000 rural schools “brings nothing to the table” and “won’t move the needle an inch.” The Truth: Starlink is putting up R500 million of its own cash for zero-cost kits, lightning-fast internet, and full maintenance, forever. 
This connects 2.4 million rural kids in deep countryside areas where cables and towers can’t reach. Kids get online classes, free learning videos, homework help, and real skills for the future. Teachers access better resources. Entire villages finally join the digital world, boosting education, jobs, and hope where it’s needed most. @elonmusk is stepping up with real help for free while politicians downplay it. Stop the lies — approve Starlink NOW!