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😺 GLM 5.2 brings 1M context
PLUS: A Chinese open model just made the closed-model default less obvious.
Daybreak: Tools for securing every organization in the world
OpenAI introduces new Daybreak tools, including Codex Security and GPT-5.5-Cyber, to help organizations find, validate, and patch vulnerabilities at scale.
Patch the Planet: a Daybreak initiative to support open source maintainers
OpenAI introduces Patch the Planet, a Daybreak initiative helping open-source maintainers find, validate, and fix vulnerabilities with AI and expert review.
L’Oréal brings Maybelline virtual try-on to ChatGPT
L’Oréal has announced a collaboration with OpenAI that will bring Maybelline New York’s virtual makeup try-on feature into ChatGPT. The announcement was made at VivaTech 2026. The partnership covers consumer-facing shopping tools, product discovery, advertising pilots, research, and internal content production. The collaboration also covers L’Oréal’s internal use of AI in research, formulation, content production, […] The post L’Oréal brings Maybelline virtual try-on to ChatGPT appeared first on AI News .
People training new AI models admit they just get chatbots to do it
The next generation of AI models are meant to be trained by people paid to have conversations with them, but several of these workers have admitted to New Scientist that they simply get chatbots to do it instead. This "AI inbreeding" may reduce the power and usefulness of future models, warn experts
Why open infrastructure will define the AI era
A new form of vendor lock-in is here. And it’s not proprietary languages or rigid enterprise software suites — it’s something more fundamental. It’s the very thing that writes the code. JetBrains Research found that 74% of developers worldwide use AI tools. Claude Code , available only since May 2025, is now the most popular AI coding tool, followed by Gemini Code Assist and GitHub Copilot , according to Jellyfish’s 2026 State of Engineering Management Report . The latter study also found that 91% of developers say their productivity has increased in the past 12 months. As coding output expectations are rewritten daily , the engineering world is becoming heavily reliant on paid external AI services. Gartner predicts that by 2028 spending on AI coding tokens could exceed developer salaries. Yet, tokenmaxxing while vibe coding through a vendor’s cloud-based API feels like a far cry from the open foundations of free programming languages and open models, which many of today’s AI platforms now abstract. “Open infrastructure will be the backbone of the AI era,” says Peter Farkas , CEO of Percona , a provider of open-source database solutions. “Right now, too many companies are building their entire AI strategy on top of proprietary platforms because the convenience is seductive.” “It’s ‘three clicks’ to stand up a database or an AI service in a hyperscaler, and that convenience blinds people to the lock-in they’re signing up for,” he adds. “As AI workloads mature, organizations w…
Hotter Than a Hot Tub: The 45°C Breakthrough to Cool AI’s Biggest Machines
Hot tubs sit at about 38 to 40 degrees Celsius, warm enough that most people can only soak for about 15 minutes. NVIDIA’s newest AI servers can run their cooling liquid even hotter — up to 45 degrees Celsius, or 113 degrees Fahrenheit. That higher temperature limit is precisely what makes them more energy efficient. […]
AI encouraged in news production under Vietnam’s upcoming press regulations
Two decrees guiding Vietnam's upcoming Press Law No 126/2025/QH15 will take effect on July 1, alongside three ready‑to‑issue circulars, ensuring no legal gap when the law comes into force.
Adani made his billions off docked ships. He is now eyeing those at sea too
The post Adani made his billions off docked ships. He is now eyeing those at sea too appeared first on The Ken .
Unpacking sandbox startup latency: why started ≠ ready
Building performant sandbox systems goes way beyond the initial container boot. Here, we unpack what that means, and discuss some tools to help you manage the entire lifecycle.
AI Weekly Issue #506: Washington Blocked One AI Lab. China Blacklisted 56 Companies.
Ten days after Washington pulled Anthropic's top models from foreign hands, the bill came due. This week Beijing blacklisted 56 American firms, Anthropic's own filing admitted the trigger was a routine coding request rival models can run, and Microsoft's CEO warned that letting "a few models eat everything" won't survive politically. The export war just stopped being one-directional — here's the week that made it mutual.
Autonomous navigation of intelligent microrobotic swarms in unknown environments
Nature Machine Intelligence, Published online: 22 June 2026; doi:10.1038/s42256-026-01252-6 An, Luo, Zhang and colleagues present Turbo, a transformer-based reinforcement learning framework that enables simulation-to-real transfer for autonomous navigation and obstacle avoidance in physical microrobotic swarms operating in unknown environments.
A Few Bad Apples Spoil the Bunch: Preventing Global Entropy Collapse Driven by a Small Set of Tokens in LLM Reasoning
Jaeeun Jang, Hansle Lee and Sangmin Kim in Findings of the Association for Computational Linguistics: ACL 2026
A Dynamic Self-Evolving Extraction System
Moin Aminnaseri, Hannah Kim and Estevam Hruschka in Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
A Dual-View Analysis of Multiple Languages in Colonial Newspapers
Zhan Su, Xiaoya Chen, Fengran Mo, Ida L. Vos, Prayag Tiwari, Yazhou Zhang, Qian Zheng and Natália da Silva Perez in Findings of the Association for Computational Linguistics: ACL 2026
A Dual-Task Paradigm to Investigate Sentence Comprehension Strategies in Language Models
Rei Emura and Saku Sugawara in Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
A Dual-Phase Self-Evolution Framework for Large Language Models
Haoran Sun, Zekun Zhang and Shaoning Zeng in Findings of the Association for Computational Linguistics: ACL 2026
A Diversity Diet for a Healthier Model: A Case Study of French ModernBERT
Louis Estève, Christophe Servan, Thomas Lavergne and Agata Savary in Findings of the Association for Computational Linguistics: ACL 2026
A Data-Efficient Path to Multilingual LLMs: Language Expansion via Post-training PARAM𝛥 Integration into Upcycled MoE
Hao Zhou, Tianhao Li, Zhijun Wang, Shuaijie She, Linjuan Wu, Hao-Ran Wei, Baosong Yang, Jiajun Chen and Shujian Huang in Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
A Data-Centric Approach to Generalizable Speech Deepfake Detection
Wen Huang, Yuchen Mao and Yanmin Qian in Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
A Counterfactual Explanation Framework for Retrieval Models
Bhavik Chandna and Procheta Sen in Findings of the Association for Computational Linguistics: ACL 2026
A Computational Method for Measuring Open Codes in Qualitative Analysis
John Chen, Alexandros Nikolaos Lotsos, Sihan Cheng, Lexie Zhao, Yanjia Zhang, Jessica Hullman, Bruce Sherin, Uri Wilensky and Michael Horn in Findings of the Association for Computational Linguistics: ACL 2026
A Comprehensive Survey of Process Reward Models: Data Generation, Model Construction, and Usage
Congmin Zheng, Jiachen Zhu, Zhuoying Ou, Yuxiang Chen, Kangning Zhang, Rong Shan, Zeyu Zheng, Mengyue Yang, Jianghao Lin, Yong Yu and Weinan Zhang in Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
A BERTology View of LLM Orchestrations: Token- and Layer-Selective Probes for Efficient Single-Pass Classification
Gonzalo Ariel Meyoyan and Luciano Del Corro in Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
1,729 vs. 1729: The Effect of Scripts and Formats on LLM Numeracy
Varshini Reddy, Craig W Schmidt, Seth Ebner, Adam Wiemerslage, Yuval Pinter and Chris Tanner in Findings of the Association for Computational Linguistics: ACL 2026
♪ Something Just Like TRuST ♪ *: Toxicity Recognition of Span and Target
Berk Atıl, Namrata Sureddy and Rebecca J. Passonneau in Findings of the Association for Computational Linguistics: ACL 2026
[b] = [d] - [t] + [p]: Self-supervised Speech Models Discover Phonological Vector Arithmetic
Kwanghee Choi, Eunjung Yeo, Cheol Jun Cho, David Harwath and David R. Mortensen in Findings of the Association for Computational Linguistics: ACL 2026
“I See What You Did There”: Can Large Vision-Language Models Understand Multimodal Puns?
Naen Xu, Jiayi Sheng, Changjiang Li, Chunyi Zhou, Yuyuan Li, Tianyu Du, Jun Wang, Zhihui Fu, Jinbao Li and Shouling Ji in Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
"Penny Wise, Pixel Foolish": Bypassing Price Constraints in Multimodal Agents via Visual Adversarial Perturbations
Jiachen Qian and Zhaolu Kang in Findings of the Association for Computational Linguistics: ACL 2026
"Newspaper Eat" Means "Not Tasty": A Taxonomy and Benchmark for Coded Language in Real-World Chinese Online Reviews
Ruyuan Wan, Changye Li and Ting-Hao Kenneth Huang in Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
"I Don’t Know What to Say": A Fact-Filling Questionnaire Method to Help Non-Experts Talk to LegalAI Assistant
Yuting Huang, Yiquan Wu, Meitong Guo, Ang Li, Xiaozhong Liu, Keting Yin, Fei Wu and Kun Kuang in Findings of the Association for Computational Linguistics: ACL 2026
"Excuse me, may I say something..." CoLabScience, A Proactive AI Assistant for Biomedical Discovery and LLM-Expert Collaborations
Yang Wu, Jinhong Yu, Jingwei Xiong, Zhimin Tao and Xiaozhong Liu in Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Codex-maxxing for long-running work
Learn how Jason Liu uses Codex to preserve context, manage complex projects, and help work continue beyond a single prompt.
sqlite-utils 4.0rc1 adds migrations and nested transactions
sqlite-utils is my combined Python library and CLI tool for working with SQLite databases. It provides an extensive set of higher-level operations on top of Python's default sqlite3 package , including support for complex table transformations , automatic table creation from JSON data and a whole lot more. I released sqlite-utils 4.0rc1 , the first release candidate for sqlite-utils v4. The major version bump indicates some (minor) backwards incompatible changes, so I'm interested in having people try this out before I commit to a stable release. New feature: migrations There are two significant new features in this RC compared to the previous 4.0 alphas. The first is support for database migrations . This isn't a completely new implementation - it's a slightly modified port of the sqlite-migrate package I released a few years ago. I think that package has proved itself over time, so I'm now ready to bundle it with sqlite-utils directly. Here's what a set of migrations in a migrations.py file looks like: from sqlite_utils import Database , Migrations migrations = Migrations ( "creatures" ) @ migrations () def create_table ( db ): db [ "creatures" ]. create ( { "id" : int , "name" : str , "species" : str }, pk = "id" , ) @ migrations () def add_weight ( db ): db [ "creatures" ]. add_column ( "weight" , float ) This defines a set of two migrations, one creating the creatures table and another adding a column to it. You can then run those migrations either using Python: db = Da…
sqlite-utils 4.0rc1
Release: sqlite-utils 4.0rc1 See sqlite-utils 4.0rc1 adds migrations and nested transactions . Tags: sqlite-utils
Samsung Electronics brings ChatGPT and Codex to employees
Samsung Electronics deploys ChatGPT Enterprise and Codex to employees worldwide, marking one of OpenAI’s largest enterprise AI rollouts.
Temporary Cloudflare Accounts for AI agents
Temporary Cloudflare Accounts for AI agents The announcement says this is "for AI agents" but (as is pretty common these days) the AI hook isn't really necessary, this is an interesting feature for everyone else as well. Short version: you can now create a Cloudflare Workers project and run this, without even creating a Cloudflare account: npx wrangler deploy --temporary Cloudflare will deploy the application to a new, ephemeral project which will stay live for 60 minutes. I had GPT-5.5 xhigh in Codex Desktop build this test application providing a tool for following HTTP redirects and returning the final destination. The temporary deployment worked as advertised. Running the deployment spits out the URL to a page for claiming the new project, for if you want it to last for more than 60 minutes. Here's what that claim screen looks like: Via Hacker News Tags: cloudflare
The Long Arm of the Chinese Academy of Sciences
CSET’s Hanna Dohmen shared her expert insight in an article published by The Wire China. The article examines how the Chinese Academy of Sciences maintains long-term relationships with companies it supports, extending beyond initial investment or spinouts into ongoing collaboration across research, talent development, and shared resources. The post The Long Arm of the Chinese Academy of Sciences appeared first on Center for Security and Emerging Technology .
😼 DeepMind mapped AI agent controls
PLUS: Claude robotics, Dean Ball at OpenAI, DeepSeek's raise, and sovereign models.
[Exclusive] $250 off AI Engineer tix til Monday
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Burkina Faso adopts national AI roadmap under Relance Plan
2026-2030 'AI for all' roadmap targets health and farming, schools
Transmission Dominance with Chinese Characteristics
Comparing the US and China Transmission Buildout
Morocco signs deal for new YouCode Errachidia coding school
YouCode school targets talented school dropouts, aiming for 100 trainees a year
The political education of Mark Carney
On the world stage, Canada's prime minister is a statesman. In Ottawa, he is a ward boss.
Unable to Start Free ChatGPT Plus Trial with GoPay (Indonesia) – "Payment was not approved" for More Than a Week
Hello, I have been trying to start the “Start your free Plus trial (1 Month)” offer using literallyall my funded cards (Nigeria) for my payment method, but the payment consistently fails. The error message shown is: “Payment was not approved” I also checked the browser Developer Tools console and noticed the following error: POST https ://r.stripe.com/b net::ERR_BLOCKED_BY_CLIENT What I have already tried: Different browsers Incognito/Private mode Different internet connections Disabling browser extensions Unfortunately, the issue still persists. This problem has been occurring for more than a week, and I have not been able to activate the free trial. I would like to know: Is Nigerian debit cards currently supported for ChatGPT Plus subscriptions in Nigeria Is there any known issue affecting Nigerian payments? Has anyone else experienced the same problem recently? Could the Stripe-related console error be connected to the payment failure? Any help or clarification would be greatly appreciated. Thank you
