Image created with Gemini. Image prompt: Hand-painted Ghibli-style seaside workshop at golden hour with a wooden shop sign reading ‘Open Source’ above the door, interior workbench displaying a smiling porcelain mask flipped to show its hollow back covered in visible mold seams, brush strokes and pinned blueprint schematics, curious townspeople peering in through the window, soft gouache watercolor backgrounds, terracotta rooftops and teal harbor beyond, cinematic wide square framing.
GLM-5.2 is good but it is not GPT-5.5/Opus 4.8, and even further from Mythos. Yet it is solid & it demonstrates that the open models continue to chase the frontier What is happening is that open weights crossed into GPT-5.2 territory & capabilities at that point are considerable”
https://x.com/emollick/status/2071284966139568440
How good is GLM-5.2? GLM-5.2 (Max) ranks higher than Claude Opus 4.8 (Thinking) on Code Arena, where Frontend coding tasks are being voted on by the community. Below in thread are 10 examples of the same prompts given to both models and completed in a single shot.”
https://x.com/arena/status/2070563149481414779
Fable: “Last and First Men is out of copyright. I want you to make a movie that features a reading of it with appropriate mixes of animation and images using access to the APIs you have (elevenlabs, hugging face) . Give me the first 10-15 minutes, ending at an appropriate break.
https://x.com/emollick/status/2072872373758382497
Forget lidar. One single camera. Runs in real time & is open source: A streaming 3D model that reconstructs scenes live, at ~20 FPS, over long sequences. End-to-end. Optimization tricks, cleanup steps? Nope. And it beats both streaming and even some offline methods.”
https://x.com/IlirAliu_/status/2070568712264929475
Talk to Gemma 4 31B with our voice app! It sees and searches the web faster than you blink. Thanks to @cerebras’ ultra fast inference, the LLM is almost instantaneous. The whole stack is fully open-source, and is a drop-in replacement for OpenAI’s realtime API. Demo:”
https://x.com/andimarafioti/status/2072335408294236164
The worst-case scenario for the United States is becoming increasingly realistic, and I will briefly explain why. @quxiaoyin raised many valid points, and I agree with her. First of all: -China certainly does not place such strong emphasis on open source because it cares so”
https://x.com/kimmonismus/status/2071524362012791114
UBS says 60% of companies now watching AI budgets are moving to cheaper models and open-source Chinese models The pressure is coming from extreme bills, including users spending up to $35K/month, teams exceeding quotas by 200%, and companies cutting internal AI tools from 5 to”
https://x.com/rohanpaul_ai/status/2070358321232839073
This year, the local model is becoming critical infrastructure at every scale: – the individual (privacy, cost) – the company (data control, cost) – the nation (resilience) @rasbt’s new writeup walks through setting this up locally, with a nod to @cohere’s North Mini Code”
https://x.com/JayAlammar/status/2071950697096987040
The food delivery leader in China just dropped an open weights 1.6 trillion parameter model while half the USA was sleeping … 🫨 🇨🇳”
https://x.com/JosephJacks_/status/2071858781521342568
[2606.26907] Qwen-Image-Agent: Bridging the Context Gap in Real-World Image Generation
https://arxiv.org/abs/2606.26907
Qwen-Image-Agent Alibaba’s agentic framework bridges the context gap in real-world image generation It plans, reasons, searches, and remembers to build the precise context that text-to-image models need”
https://x.com/HuggingPapers/status/2070489753573548365
Was thinking if I should highlight this tweet or not, but it’s a masterclass in the amount of vitriol people face when working on open source. Is the app great yet? No. It’s a start. It was built by the community. Getting the iOS and Android apps working with secure pairing and”
https://x.com/steipete/status/2071972239734616146
WF2026: Software Factories & Keynotes ft. Microsoft, OpenAI, OpenClaw, Z.ai (GLM), MiniMax, HF – YouTube
https://www.youtube.com/live/htM02KMNZnk?t=18296s
The AI Agent stack in 2026 ▪️ OpenClaw → local agent as personal control plane ▪️ Hermes Agent → local agent with self-improving skills ▪️ Gemma 4 → efficient models for local agent workflows ▪️ Skill Engineering → reusable agent abilities ▪️ VLA Models → interface for”
https://x.com/TheTuringPost/status/2071059725257732309
It would be good to have an official government statement about the risks they saw in Fable, how they are viewing defensive preparations in light of coming open weights Mythos-class models, & whether the worries are state actors, independent hackers, etc It’s important to know”
https://x.com/emollick/status/2072392345128239475
omg omg GLM-5.2 is beating fable. china is catching up” chill out and listen to Lisan: > slightly ahead of Opus 4.5 > behind GPT-5.2, Gemini 3 Pro and Opus 4.6″
https://x.com/scaling01/status/2072346101068238946
Microsoft just released a new GUI agent on Hugging Face Sico-Evolution jumps from 39.8% to 82.9% Task Success Rate Outperforming GPT-5.4, Claude Opus 4.6, and Claude Opus 4.7 All from a 4B parameter model”
https://x.com/HuggingPapers/status/2071951218889339131
best case: OSS surpasses Mythos, and the gov stops banning GPT-5.6/Fable. worst case: OSS surpasses Mythos, and then decides to stop being open source.”
https://x.com/Yuchenj_UW/status/2070554908139659400
Open source AI is gaining traction due to the White House’s clampdown on Anthropic & OpenAI. “A lot of founders and developers have been burned by trying to build apps on top of these really advanced closed source models, like Fable for instance…” “… and then seeing those”
https://x.com/theinformation/status/2071700452605829433
An open-source OSINT agent for security research – OpenOSINT It’s like an AI investigation layer that lets you: examine emails, domains, IPs, phone numbers, GitHub profiles, etc. It exposes its OSINT tools through MCP. This agent decides what to run, chains findings, and”
https://x.com/TheTuringPost/status/2072126171270295892
“Agentic kernel optimization is the future of on-device inference” @xenovacom used Fable 5 to write kernels that pushed Gemma 4 to a massive 255 tok/s on WebGPU with M4. He shared the demo, so you can try in your browser!!”
https://x.com/googlegemma/status/2072416614188974274
I can personally attest: OpenClaude using GLM 5.2 is now performing on par with Claude Code powered by Opus 4.8.”
https://x.com/kevincodex/status/2070354383158861955
Introducing Mixture of Agents 2.0 in Hermes Agent. Combine any provider’s models into a mixture of your own. Access your presets as if it were a normal model in Hermes. Big improvement in our soon-to-release HermesBench against opus and gpt-5.5 with MoA using Opus & GPT”
https://x.com/Teknium/status/2070615003674366277
while we cannot use fable 5 and gpt 5.6 will be screened before allowed to use the model, open source model builders are hard at work to close the gap. Ornith-1.0-397B from @ornith_, the best coding open source model.”
https://x.com/nathanhabib1011/status/2070469918475116750
Introducing ZCode, the official development environment for GLM-5.2 – GLM Coding Plan subscribers: now 1.5x usage quota in ZCode – BYOK supported: works with your existing subscriptions and APIs – Available on macOS, Windows, and Linux Download now:”
https://x.com/Zai_org/status/2072349453361557898
Today’s YouTube video is a longer look at MoA in Hermes Agent, trying to answer some of the common questions: How does using MoA impact cost, speed, and quality? I created an open weights MoA using GLM-5.2, Kimi K2.6 and Minimax M3 to find out, then made a three-headed Grok”
https://x.com/tonbistudio/status/2071595794147250540
OpenAI evaluated its new models on PostTrainBench-Lite, a shortened version of our original benchmark that gives agents 5 hours instead of 10 to improve an open-source base model. GPT-5.6 Sol and Terra outperform GPT-5.5, but still rely on narrow strategies and sometimes”
https://x.com/karinanguyen/status/2070577740022231232
harbor is a great framework for running evals for long running, stateful agents its becoming industry standard, powering benchmarks like terminal bench 2 we’ve integrated deeply with harbor: across LangSmith, Sandboxes, and Deep Agents”
https://x.com/hwchase17/status/2071974139926294897
𝗚𝗟𝗠-𝟱.𝟮 (the latest open weights model) is having an Enterprise moment, and it is not an exaggeration.🚀 🔥 We have been impressed by how strongly GLM-5.2 is pushing long-horizon performance .. not just in coding, but also in 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗽𝗹𝗮𝗻𝗻𝗶𝗻𝗴, 𝘁𝗼𝗼𝗹”
https://x.com/RajeswarSai/status/2072006835444347390
@hwchase17 s “wiki memory” really resonates with how we’ve been thinking about Enterprise Knowledgebases. Agent memory is still early, but one pattern we observe consistently: enterprises don’t need agents to retrieve raw documents, Slack threads or tickets at query time. They”
https://x.com/bpalit/status/2072378273343082537
Excited to see @cohere open-source how they use AI coding agents to maintain their vLLM fork. 🙌 Keeping a long-lived fork in sync is tricky. Their agent treats it as a control loop: rebase onto each upstream release, run tests, diagnose, fix, repeat until green. Weeks of work”
https://x.com/vllm_project/status/2070364532296536346
Got GLM-5.2 running on my Mac Studio via llama.cpp, the reasoning behind all my medical agentic workflows. It orchestrates a swarm of tiny on-device OpenMed experts: oncology, meds, labs. No cloud, no rate limits, nobody can take it away. AI must be owned, not rented.”
https://x.com/MaziyarPanahi/status/2070503452178796704
If I had to choose just one metric, I’d argue that the KV-cache hit rate is the single most important metric for a production-stage AI agent.” – Manus AI prompt caching is important! read about how we do it with deep agents”
https://x.com/hwchase17/status/2070577381392482732
More and more developers turning to glm5.2 as a daily driver for coding Here’s how to use it with deepagents code”
https://x.com/hwchase17/status/2072344890755977571
Built a new agent app for DevRel content research powered by @Zai_org GLM-5.2. Takes your product + audience and turns developer demand into practical blog and talk ideas. Chat-first. Say something like: “I’m working on a Chrome extension for frontend devs that extracts SVGs,”
https://x.com/Astrodevil_/status/2071572680470655253
You can start building with GLM 5.2 in minutes: 1️⃣ Download dcode 2️⃣ Select your model (GLM 5.2) 3️⃣ Enter your API key …and you’re ready to go with frontier performance on open weights. Great demo from @its_ao”
https://x.com/LangChain/status/2072334663457067064
Zai going strong: they officially launched ZCode 3.0. The new AI-native coding IDE is deeply optimized for GLM-5.2 and supports agentic software development from planning and coding to code review and deployment. • Deep GLM-5.2 integration with multi-agent collaboration •”
https://x.com/kimmonismus/status/2072378141041991702
We are starting to role out our Trace Judge model to early partners today Designed to detect errors in agent trajectories at 1/100th of the cost compared to closed models If interested in early access, sign up on the form below:
https://x.com/hwchase17/status/2071630837976822237
Semantic search alone doesn’t cut it. Neither does brute-force grep. Agents need both. Today we’re shipping the Retrieval Harness in LlamaParse Index: semantic search, server-side grep, and file-level navigation working together in a single agent reasoning loop. 🦙🌤️ Grep a”
https://x.com/llama_index/status/2071656315210826006
Check out Tonbi’s latest video to learn about Hermes Agents’ subagent delegation tool!”
https://x.com/Teknium/status/2070557376726634526
.@harborframework can now integrate directly with Deep Agents, LangSmith Sandboxes, and LangSmith Observability. You need to run agents in a real, reproducible, isolated environment, many times in parallel, with a deterministic check at the end. Harbor solves this problem.”
https://x.com/LangChain/status/2071978566691049559
.@mondaydotcom had one agent trying to handle 200+ tools. Context pollution everywhere. The LLM was confused, costs rising, and it still wasn’t working. @omribruchim on rebuilding Sidekick with Deep Agents:
https://x.com/LangChain/status/2070507927798993352
a common pattern for (a part of) memory that we see: Wiki Memory Examples: – DeepWiki (@cognition) – AutoWiki (@FactoryAI) – LLM Wiki (@karpathy)”
https://x.com/hwchase17/status/2071963841009942671
agentic map reduce” is a nice name spawning subagents programatically allows you to do these advanced agent patterns, where you want some determinism to control how agents are created/run check out dynamic subagents in deepagents for a way to do this:”
https://x.com/hwchase17/status/2072377816780624266
Deep Agents now supports dynamic subagents. Instead of invoking subagents with tool calls, the main agent writes orchestration code to coordinate work at scale. This enables workflows like processing hundreds of documents or analyzing thousands of datapoints with deterministic”
https://x.com/LangChain/status/2071631563897377010
Dynamic subagents in deepagents! Lets you spin up subagents programmatically We highlight 6 diff use cases for this”
https://x.com/hwchase17/status/2071633874736804066
The AI SDK Harness API now supports @OpenCode and @LangChain Deep Agents through a single unified interface. Use 𝙷𝚊𝚛𝚗𝚎𝚜𝚜𝙰𝚐𝚎𝚗𝚝 to run any supported runtime without changing your app code.”
https://x.com/vercel_dev/status/2070559261399339432
Warp Open-Sources Its Agentic Development Environment, Introducing a New Model for Building Software with Cloud Agents | Warp
https://www.warp.dev/newsroom/2026/4/28/warp-open-sources-its-agentic-development-environment
OpenWiki is the easiest way to document your codebase, built specifically for agents to consume. OpenWiki can generate repo docs, automatically update them as your codebase evolves, and do Q&A over your docs and codebase!”
https://x.com/LangChain/status/2072376975545798792
We’ve been impressed with GLM-5.2 and so are introducing a $9.99/month subscription to give you 2-5x discounted access to it and other open weight models like DeepSeek, Kimi, MiniMax, Mimo, Qwen. Use it on Cline CLI & IDE with $1.99 special promo if sign up via: npm i -g cline”
https://x.com/cline/status/2071617325296734309
That Wall Street Journal article about GLM catching up with Mythos (which is not true & the reporting doesn’t back up) is another one of those “everyone will ask me about it at every conference or meeting” articles. Big impact on the policy zeitgeist, even if not fully accurate.”
https://x.com/emollick/status/2071630972521705513
It would be very useful to understand more about the government safety concerns associated with frontier AI releases so we could (a) know what risks everyone will face if/when open source reaches Mythos class & (b) whether they are doing enough or too much to prevent those risks.”
https://x.com/emollick/status/2070272952210227622
Sonnet 5’s Runescape benchmark scores are big improvement over Sonnet 4.6’s, but outclassed by Pareto frontier neighbors like GLM 5.2 and Gemini 3.5 Flash.”
https://x.com/maxbittker/status/2072054926746779806
Claude Sonnet 5 costs more than Claude Opus 4.8 on the Artificial Analysis Intelligence Index task, and 4.75X more than GLM-5.2. Token efficiency is important.”
https://x.com/Yuchenj_UW/status/2072070274300948497
Sonnet 5 goes straight into the garbage bin > 1.2x more expensive than Opus 4.8 Max > 2x more expensive than GPT-5.5-xhigh > 5x more expensive than GLM-5.2 > 7x more expensive than Kimi-K2.6 > 57x more expensive than DeepSeek-V4-Pro”
https://x.com/scaling01/status/2072071305281540338
If you want to read an interesting AI thinking trace, try “I want you to suggest two poems that you think apply very well to the current state of GenAI models like you. Don’t just pick popular poems and back justify. Think hard about options first” in either GLM-5.2 or Opus 4.8″
https://x.com/emollick/status/2070384714691584239
This looks to good to be true. A 397B open source model on par or even outperforming Claude Opus 4.8? I need to check it out.”
https://x.com/kimmonismus/status/2070476402692919346
NEW on Hugging Face: Hardware filters 🖥️ A new Hardware filter on the Models page results to models that fit a specific GPU, CPU, or Apple Silicon chip, so you only see what will actually run on your machine. Set the hardware you want from your Hardware settings. It stacks with”
https://x.com/victormustar/status/2071930123549290707
🎮🕹️🖥️ CS2-10k is now available on @huggingface 🚀 600,000+ egocentric gameplay videos. 10,000+ hours. Every frame paired with the exact keyboard, mouse, and 3D position data that produced it. If you’re working on world models, action-conditioned video generation, or egocentric”
https://x.com/RekaAILabs/status/2071970771233038475
Greyboxed 3d to final pixels workflows looking real good these days. And open source too?! C’mon we have it too good”
https://x.com/bilawalsidhu/status/2070534360911012092
We just open-sourced 3DREAL ! A new render-to-real IC-LoRA for LTX-2.3 from fal: turn any 3D / CG / game render into high 3d render, photorealistic, film-quality video, keeping your exact composition and camera move using the first frame.”
https://x.com/fal/status/2070523006770630813
introducing ZeroLabs, a full open source speech suite, running on @huggingface Spaces with the hyperfocus in LLMs, you missed that open source matched closed in speech don’t believe me? try it out. update your priors. save some moneys
https://x.com/multimodalart/status/2070498828730454059
This model helps robots learn tricky moves and tasks much faster and better. How? By turning their actions into a short, smart code! 📌 { Open-source code, arXiv paper, and project page } Ahad J. introduces Neural Action Codec (NAC), which models robot actions as audio”
https://x.com/IlirAliu_/status/2072380212793278517
> the improvement over DFlash: > +20% acceptance length > +14% throughput > avg 127 tok/s vs 111 for DFlash and 81 for EAGLE-3 > for single GPU inference, DSpark’s lightweight + early stopping approach is clearly superior …DeepSeek did just casually ship a SoTA spec decoding”
https://x.com/teortaxesTex/status/2071631028511203457
We’re open-sourcing a new benchmark on @huggingface: IFStruct The goal is to measure output validity and schema following across diverse prompts. We also detail how we generated it and the design choices behind it in our blog post.”
https://x.com/maximelabonne/status/2071959319923380481
In their OCR 4 launch this week, Mistral shared a significantly lower score for Chandra 2 than you get from our repo or by running our public code. They also omitted Infinity Parser, which reports 87.6%, from their olmocr comparison.”
https://x.com/VikParuchuri/status/2070465523926630477
The MSA kernel from @MiniMax_AI team is available through the 🤗 Kernels lib and boy, is it speedy 🔥 It currently powers the MiniMax-M3-VL in 🤗 Transformers! Go to [hf dot co / kernels / MiniMaxAI / msa] to get started!”
https://x.com/RisingSayak/status/2072277942554841292
GLM 5.2 just became the first open-source model to lead a category on APEX-SWE. It scored a 55.3% Pass@1 on Integration, the top score we’ve recorded for any model, open or closed source. On the overall leaderboard, GLM 5.2 scored 37.3% Pass@1, ranking 6th place. That makes it”
https://x.com/mercor/status/2072448918751941041
GLM-5.2 is the most intelligent open weights model available, but also the most verbose among the leading models GLM-5.2 (max) used ~141M output tokens (95% reasoning) to run the Artificial Analysis Intelligence Index (1.8x the average model). Key takeaways: ➤ GLM-5.2″
https://x.com/ArtificialAnlys/status/2072022576394821859
I took the new AA-Briefcase scores from @ArtificialAnlys (basically having the AI do multi-week consulting gigs with a lot of complexity) and graphed the frontier curve for open and closed models: 1) Surprise, rapid gains! 2) The open weights gap is clear
https://x.com/emollick/status/2071449550662127927
A study from @Stanford showed that 71.3% of chatgpt queries could be accurately answered by a local model. I suspect a major part of enterprise AI workloads could be run locally too for free (compared to the massive costs of frontier API cost). Also, it reduces the risk of”
https://x.com/ClementDelangue/status/2071951499660292496
AI concepts and techniques of 2026 ▪️ DeepSeek mHC ▪️ Conditional memory and selective intelligence ▪️ The new fine-tuning stack for LLMs: advanced LoRA + Evolution Strategies ▪️ On-policy self-distillation ▪️ New chips: MatX, Taalas, and the Cracks in the GPU Era ▪️”
https://x.com/TheTuringPost/status/2072483002333200788
We’re about to start seeing feats that are less heroic and more scary. By the fourth week of July 2026, we are likely to see: – DeepSeek-V4-official – Huawei Ascend 950DT SuperPOD (likely beats Meituan’s whole cluster) – ZQ-3 landing (less certain) takeoff begins?”
https://x.com/teortaxesTex/status/2071889274954260720
AR pretraining won. Generation doesn’t have to stay AR. We’re releasing Nemotron-TwoTower: clone a pretrained AR LLM, freeze one copy as context, and train the other as a diffusion denoiser for parallel token generation. 30B model 98.7% AR quality 2.42× throughput 📄 🤗 💻”
https://x.com/fitsumreda/status/2071616094260142431
We took a 30B model and split it in two to write tokens in parallel instead of one at a time. Introducing Nemotron-Labs-TwoTower: a diffusion language model from NVIDIA Research adapted from Nemotron-3-Nano-30B-A3B. Here’s how it works: one half holds the context, the other”
https://x.com/NVIDIAAI/status/2072394812301480067
Huawei Pangu’s 92B 6B active MoE open sourced Big one coming in July They’re basically trying to do Nvidia’s thing with Nemotron”
https://x.com/teortaxesTex/status/2071890951816003663
Great to see the @NVIDIAAI Nemotron team put out a step-by-step guide for self-hosting Nemotron-3-Ultra 550B without a datacenter. Four compact DGX Spark boxes pool into a single OpenAI-compatible endpoint, served from vLLM’s official out-of-the-box container. If you’re building”
https://x.com/vllm_project/status/2071483552106233993
The official GLM-5.2 NVFP4 from NVIDIA is now available. Curious how it compares to other quantizations.”
https://x.com/ZixuanLi_/status/2070391097612783775
GLM-5.2 in NVFP4 is ready to serve in vLLM 🚀 @NVIDIAAI’s official NVFP4 checkpoint of GLM-5.2 on Blackwell cuts the memory footprint vs FP8 while matching its accuracy across reasoning, coding, and long-context benchmarks. Serve it today with: vllm serve nvidia/GLM-5.2-NVFP4″
https://x.com/vllm_project/status/2070569806940848328
First dflash model we trained in house is live (qwen3-32b) and providing ~50% higher throughput for the same hardware. Nice! Need to test dspark next (and then build out dflash or dspark drafters for GLM-5x etc.)”
https://x.com/jon_durbin/status/2072293557172363720
⚙️ We debugged a year’s worth of crashes in our data infrastructure and found one issue in the hardware and another that has been unnoticed in open-source code for 18 years. Here’s how we tracked them down:”
https://x.com/OpenAIDevs/status/2071995642436800916
I wonder how much economic value DeepSeek has just created with DSpark. Imagine if *every* Chinese provider improves throughput by 50% 3 months faster. Or improves interactivity by 60%. And anything in between. Billions?”
https://x.com/teortaxesTex/status/2071873225881989424
Why DeepSeek’s DSpark matters: cheaper, faster inference may be the real AI bottleneck 🌟A clear take from Zhihu contributor 平凡 on why DSpark is less about headline model capability and more about making powerful AI usable at scale. TL;DR: DSpark does not make the model”
https://x.com/ZhihuFrontier/status/2071445817102315595
👀 vLLM community is working non-stop to get @deepseek_ai’s new DSpark spec decode algorithm for vLLM! Faster inference for everyone!
https://x.com/vllm_project/status/2071682507775635579
🚀 @deepseek_ai’s DSpark speculative decoding now runs natively in vLLM! What it is: a semi-autoregressive drafter that proposes several tokens in parallel with non-causal sliding-window attention, then verifies them in a single pass. Output stays identical, decoding takes fewer”
https://x.com/vllm_project/status/2072545387639189798
DeepSeek is the forever goat on ML infras. If they haven’t open source all the god-like AI infra projects like DeepSpec / DeepEP / DeepGEMM, we’ll forever be puzzling on why they can achieve super low cost and super high throughput per stream yet still be profitable. As I”
https://x.com/Xianbao_QIAN/status/2071917185380073611
DeepSeek open sources DSpark, a new framework to speed up LLM inference by up to 85% | VentureBeat
https://venturebeat.com/orchestration/deepseek-open-sources-dspark-a-new-framework-to-speed-up-llm-inference-by-up-to-85
GLM 5.2 DSpark preview is here! ✨
https://t.co/DQOMYEiY1o This is the first DSpark speculator for a non-DeepSeek frontier model, trained with Speculators and running on vLLM nightly for ~1.5× faster decode for GLM-5.2-FP8 on 4×B300. Stronger checkpoints to come!”
https://x.com/mgoin_/status/2072525522639212825
new 1.6T total, 48B active open model coming very soon from @Meituan_LongCat custom sparse attention, n-gram, adaptive expert computation, 1M context, 35T of training tokens, muon optimizer, multi teacher OPD, trained on 50k chinese gpus
https://x.com/eliebakouch/status/2071713216028389396
AI systems that are accessible or even better open-source are safer for a simple reason: more people can inspect them, test them, stress them, and report what breaks or harms to keep the builders accountable. “Sunlight is the best disinfectant”! That’s why we’re proud to help”
https://x.com/ClementDelangue/status/2072401982569025742
SITUATION EXPLAINED: Why is restricting open source AI models structurally impossible? @ClementDelangue, co-founder and CEO of @huggingface: “Open weights are fundamentally different than an API. The way you can restrict it is very different.” “If you remove an open weight”
https://x.com/MTSlive/status/2071634697185353956
The biggest risk in AI is concentration: of power, capabilities and economic wealth. Who can doubt it with trillion dollar companies and government now already controlling a massive part of it? So we need more rebels and more rebel alliance like this one from @usv and friends.”
https://x.com/ClementDelangue/status/2070498777635398047
There’s a lot of sloppy thinking around open models. You can ban them and make it impossible for US companies to use them, but this won’t stop A) global open model progress B) bad actors using them So what exactly is gained by banning open models, including those from China?”
https://x.com/natolambert/status/2070582348203389035
As this post points out, contrary to what many say, the US government could absolutely effectively ban open weights models. That doesn’t mean you won’t be able to download the weights & run them, but they can ensure that no US company would use or provide access or host them”
https://x.com/emollick/status/2070308786032578766
Launch FLARE-AI 🎆: Flaw & Incident Reporting for AI. Reporting AI flaws is broken: forms are scattered, non-standardized, and reports get siloed instead of reaching everyone who needs them (think universal jailbreaks). We built one open-source place to fix that: create your”
https://x.com/ShayneRedford/status/2072408461015707883
Gemma 4… intelligence for everyone on device!”
https://x.com/OfficialLoganK/status/2070181261772210449
The biggest baller move Sam could make right now is to open source GPT-5.6 on Huggingface and declare that OpenAI’s original mission has been achieved.”
https://x.com/Yuchenj_UW/status/2070623705227825593
Tired: The US government regulating open-source AI models Wired: The US government training and releasing open-source AI models”
https://x.com/ClementDelangue/status/2071686220548133048
You can now use 100s of tools with @huggingface Buckets, thanks to the new S3 API! Usually just one or two lines to change.”
https://x.com/vanstriendaniel/status/2071919131058712878
Why Specialization Is Inevitable
https://huggingface.co/blog/Dharma-AI/why-specialization-is-inevitable
DiScoFormer: One transformer for density and score, across distributions
https://huggingface.co/blog/allenai/discoformer
now seems like a good day to remind people we have an apache 2.0 coding model you can run with 20 gigs of ram locally for free forever.
https://t.co/verca0bHRC Its a 4 bit quant that gets >99% original performance.”
https://x.com/nickfrosst/status/2070564967279894948
The talk around openness & AI needs to distinguish between the vibrant and innovative open source movement that is advancing the state-of-the-art on harnesses & other key areas and open weights frontier models, which are entirely dependent on a the goodwill of a few Chinese firms”
https://x.com/emollick/status/2070928706843898117
When we were in China, @xeophon and I made a quick detour to visit Meituan. They continue to be one of our favorite open model builders, as they’re showing how a variety of companies can succeed here and baffle a lot of people as to why they’re making models. Meituan is one of”
https://x.com/natolambert/status/2071972882264268923
The @n8n_io node for the LlamaParse Platform is now an officially verified community node, as part of a broader partnership with n8n to bring cutting-edge document intelligence to the low-code and no-code world🚀 The new version of the node brings together document parsing,”
https://x.com/llama_index/status/2070538846756892811
Every day, I think I could not appreciate open source any more than I already do. And then something new happens, like ID verification, and I am simply glad that I can run increasingly better models locally as well.”
https://x.com/kimmonismus/status/2071877617150517526
To help accelerate neuroscience breakthroughs, we’re releasing the full training code for Brain2Qwerty v1 and v2, and our partner, @bcbl_, is releasing the v1 dataset. Learn more and explore the artifacts here:”
https://x.com/AIatMeta/status/2071566934571954326
Great to see the new GPT-5.6 models finally announced. Sad to see this new release strategy where only a select few get access initially. Not a win for our industry IMO. Open-source AI must win!”
https://x.com/omarsar0/status/2070578592526856446
I think many people are not yet aware of the tectonic shift taking place. By preventing state-of-the-art capabilities – at least insofar as we are able to use them – open source becomes not only more attractive for one’s own applications, but more attractive overall. This”
https://x.com/kimmonismus/status/2070515966304281007
Opensource AI Must Win
https://opensourceaimustwin.com/
There will be more and more pressure and more money and lobbying behind open soon. It is not a “two big companies have all the power in AI” situation like some imagine. The financial incentives are shifting away from single monopoly ownership and those companies will have a”
https://x.com/Dan_Jeffries1/status/2070407070180892973
After many months of intense work the @Snowflake AI Research team is happy to present to you the new open source project: Arctic RL
https://t.co/6YdiWV4nGJ – Arctic RL integrates with VeRL and SkyRL today; enable ZoRRo with one config flag, no code changes required – ZoRRo”
https://x.com/StasBekman/status/2071628398234087642
Leave a Reply