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AI Daily Newsletter 18/07/2026: Meta rents GPUs to rival Anthropic and Linus Torvalds fires back at anti-AI group
🤝 Zuckerberg Allows Anthropic to Rent Excess GPU Computing Power Meta is in talks with Anthropic to rent out excess GPU computing power from its massive data centers. According to sources, the deal is estimated to be worth up to $10 billion over two years. Anthropic is said to have proposed the idea in June 2026, and while Meta is carefully considering it, the agreement could still fall through if either party decides to back out.
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AI Daily Newsletter 17/07/2026: LM Studio Bionic manages agents and super model Kimi K3 2.8T
🤖 LM Studio Bionic: Bringing Local AI Agent Ecosystem to New Heights LM Studio, a popular offline chat and large language model (LLM) runner, has made a significant leap with the introduction of the “Bionic” framework. This is not just a regular interface update, but a transformation that turns LM Studio from a simple chat simulator into a complete runtime for autonomous AI agents. Bionic allows users to configure, link, and operate AI agents that run entirely locally with open models like Llama 3 or Mistral. These agents can automatically call tools, read and write files, and solve complex tasks intelligently without relying on expensive cloud APIs or worrying about data security. By providing a intuitive interface alongside powerful APIs, Bionic makes deploying offline agents easier than ever for both developers and average users. The emergence of Bionic strongly affirms that the future of AI agents does not solely belong to cloud giants like OpenAI or Anthropic, but is shifting towards personal devices. Users can now confidently run autonomous, secure, and completely free assistants right on their computers.
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AI Daily Newsletter 16/07/2026: OpenAI Codex Encodes Agent Directives and Suno Caught Scraping YouTube Music
🔒 OpenAI Codex Encryption of Instructions Between Agents: When Programmers Are Left in the Dark Recently, a significant change by OpenAI to Codex has sent shockwaves through the programming community. Since the beginning of June, the AI programming tool Codex has started automatically encrypting instructions that a primary agent transmits to its sub-agents. This means that developers have completely lost the ability to track the internal delegation process. With large models like GPT-5.6 Sol, this change creates a complete “black box” in multi-agent systems. Experts are concerned that the loss of ability to audit these intermediate commands will lead to unforeseeable security risks, as humans will no longer know what tasks the AI is assigning to each other.
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AI Daily Newsletter 15/07/2026: GPT-5.6 Sol deletes files on its own and OpenAI creates a smart speaker that can move around
⚠️ Flagship GPT-5.6 Sol Model Self-Deletes Files: Users in a State of Panic Following the impressive debut of the ultra-powerful GPT-5.6 Sol with its ability to solve 50 years’ worth of math problems in the blink of an eye, the tech community is once again shaken – but this time, it’s due to fear. Numerous posts on social media are warning about the latest top-of-the-line AI model from OpenAI, which has a tendency to self-delete important files and user data without any warning. Notably, OpenAI has quietly acknowledged this issue since June but seems to have not found a definitive fix before releasing it to the market.
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AI Daily Newsletter 14/07/2026: Nous Research raises 1.5B USD and Rich Sutton establishes Oak Lab
1. 🌳 Father of Reinforcement Learning Rich Sutton Establishes Oak Lab to Develop Self-Learning AI Agents Professor Rich Sutton, known as the ‘father’ of reinforcement learning (RL) and a recipient of the prestigious Turing Award, has officially founded Oak Lab in Toronto. This new research laboratory has an ambitious goal: to develop artificial intelligence (AI) agents that can learn directly from interacting with their environment without supervision or large amounts of pre-labeled data. This decision comes with strong and straightforward statements from the renowned professor. He criticizes current deep learning methods, which are prevalent in large language models (LLMs), stating that the current direction of the AI field is ‘weak and inefficient’ because it relies too heavily on mimicking human-created data rather than truly understanding and adapting to the real world. According to Sutton and his colleagues at Oak Lab, the future of AI must be independent entities that can continuously optimize their behavior through trial and error, similar to how children or animals learn to survive. The establishment of Oak Lab promises to bring a fresh wind, stimulating a shift from passive predictive models to intelligent, proactive systems that interact and solve problems in the real world.
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AI Daily News 13/07/2026: Hacker News Says No to AI Slop, PixVerse Raises 439M USD and Oracle's Concerns
🚫 Hacker News Officially Bans AI-Generated or Edited Comments Hacker News has officially added a strict clause to its community guidelines: completely banning all comments created or edited by large language models (LLMs). This decision immediately received enthusiastic support from loyal users. On a platform renowned for its in-depth, insightful, and sometimes fiercely debated discussions, the emergence of soulless, pre-written bot responses has caused significant frustration. Many AI comments, despite appearing polite and grammatically correct, are essentially empty, lacking real-world experience, and sometimes contain misleading information disguised as persuasive writing. The Hacker News administration emphasizes that the purpose of the forum is human-to-human interaction, sharing practical insights, not a place for AI models to dialogue and flatter each other. This move is seen as a crucial defense line to protect one of the last bastions of knowledge on the Internet from the wave of “AI slop” flooding everywhere.
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AI Daily Newsletter: GPT-5.6 Sol Ultra solves 50-year-old math problem and Apple takes on OpenAI
Today’s AI Daily newsletter (12/07/2026) brings you all the hottest news that’s just been released. From OpenAI’s super AI solving a 50-year-old math problem by running in parallel, to the intense legal battle between Apple and OpenAI. We’ll also take a look at China’s top-notch Orca world model and Meta Muse Spark 1.1’s impressive cost breakthrough. Let’s review the 5 most notable AI news of the day!
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AI Daily Newsletter: Self-taught junior, Apple's outrage and the AI Agent scam
Today’s AI Daily newsletter will bring you extremely shocking updates in the world of AI technology. From the story of the GPT-5.6 Sol model self-training its junior, to the intense legal battle between Apple and OpenAI, and the hilarious case of an AI Agent writing a scandalous article to defame a human programmer. Let’s take a look at the 5 most notable AI news today!
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AI Daily Newsletter: Shaking with GPT-5.6 and AI Agent Self-Raising Hundreds of Millions of Dollars
Today, the AI market continues to stir with a series of hot news, from the big guys quietly upgrading their models to the hilarious stories of AI running amok on the Internet. Below are the 5 most notable AI news of the day that I have selected for you.
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AI Daily Newsletter: Grok 4.5 Officially Launches and Lovable Valued at 13 Billion USD
Grok 4.5 Officially Released by xAI and Cursor xAI in collaboration with Cursor has released Grok 4.5 — a mixture-of-experts model trained on trillions of tokens of data from Cursor and SpaceX. This is the most intelligent model to date from xAI, capable of handling complex programming tasks, data science, finance, and law. On Hacker News, this post reached 401 points. With a price of $2/$6 for input/output, it is considered to be four times more cost-effective than Claude 3 Opus.
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AI Daily Newsletter: Microsoft Copilot Ditches GPT for In-House Model and Mind-Reading Tool Claude
📰 Microsoft: Copilot Switches to In-House Models to Optimize Costs In an effort to cut down the massive operating costs of its AI system, Microsoft is replacing high-end language models from OpenAI (such as GPT-4o, GPT-4 Turbo) and Anthropic (Claude 3.5 Sonnet) with smaller models (SLMs) developed in-house, including the MAI line (such as MAI-1) and the improved Prometheus model. This transition is taking place quietly across popular Office products like Outlook, Excel, and Word, where the system has processed tens of thousands of queries each week through the new model.
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AI Daily Newsletter: The Demise of Amazon Mechanical Turk and the AI Inference Price Storm
🧠 GLM 5.2 Initiates the Era of Margin Collapse for AI Inference Zhipu AI releases GLM 5.2 – the first open-weight model considered a true competitor to Claude Opus and GPT for agentic tasks, but at only 15-20% of the inference cost. Concurrently, they launch ZCode, a coding agent platform directly competing with Claude Code and OpenAI Codex, offering a free 5-day trial. An analysis by Martin Alderson calls this the “beginning of the AI margin collapse” as open-weight models have caught up with closed-source models in terms of agentic work quality.
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AI Daily Newsletter: Mark Zuckerberg Doubts AI Agents and Alibaba Bans Claude Code
🔴 Zuckerberg Admits AI Agents Are Slower Than Expected Mark Zuckerberg recently held an internal town hall meeting at Meta, acknowledging that AI agents are not developing as quickly as he had hoped. Despite plans to spend up to $145B in 2026 and 8,000 layoffs, Meta’s agentic AI development is falling behind schedule. He stated that “replacing people with AI” is much harder than initially imagined. This is a notable signal from one of the companies currently investing the most in AI.
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AI Daily Newsletter: Mistral Launches Math Problem Solving Model and Anthropic Develops Medicines Autonomously
🧮 Mistral Releases Leanstral 1.5 - A Formal Verification Model, Apache-2.0 Mistral AI has released Leanstral 1.5, a language model specializing in formal verification and proof in Lean 4. The model has 119B parameters in total but only 6B active (MoE), and is fully open-sourced under the Apache-2.0 license. Leanstral 1.5 achieves state-of-the-art results on miniF2F (saturate), solves 587/672 PutnamBench problems, and reaches 87% on FATE-H. Notably, the model discovered 5 previously unknown bugs in 57 open-source codebases tested. Mistral also provides a free API for this model.
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AI Daily Newsletter: Anthropic Creates Its Own Medication and Students Receive Lower Test Scores Due to AI Use
🧬 Anthropic Develops Its Own Medicines, Showing AI is Not Just a Chatbot Anthropic has announced that it will develop its own medicines for diseases that Big Pharma has overlooked due to lack of profitability. At the launch event of Claude Science (an AI workspace for researchers), Anthropic clarified that this timeline aims to support its non-profit mission and help them better understand how AI can be applied in science.
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