Grok code editor 👨‍💻, Meta poaches from OpenAI 💰, Gemma 3n ✨

xAI's Grok is getting an advanced code editor that lets users run code inside Grok. Users can talk to it and ask it to modify code ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌  ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ 

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(1 minute read) xAI's Grok is getting an advanced code editor that lets users run code inside Grok. Users can talk to it and ask it to modify code or debug it for them. A screenshot of the new feature is available on the post. Introducing Gemma 3n: The developer guide (6 minute read) Google recently released an extremely consequential new open weights model that is multimodal by design and optimized for on-device. Gemma 3n accepts text, images, and audio as inputs. Google partnered with AMD, Axolotl, Docker, Hugging Face, llama.cpp, LMStudio, MLX, NVIDIA, Ollama, RedHat, SGLang, Unsloth, and vLLM for the launch, so there are dozens of ways to try out the model. This post presents a quick walkthrough on how to set up and use the model on macOS. Meta Reportedly Recruits OpenAI Reinforcement Learning Pioneer (2 minute read) While the move has not been formally confirmed by Meta yet, reports indicate that Meta has hired Trapit Bansal for its new AI superintelligence unit, potentially boosting its push for a frontier reasoning model. 🧠 Deep Dives & Analysis Anthropic Study Reveals Emotional AI Use Is Rarer Than Expected (12 minute read) Anonymized analysis of 4.5 million conversations reveals only 2.9% involve emotional support and that people's sentiment consistently improves during interactions. Claude disagrees with users less than 10% of the time, primarily for safety reasons, as users explore topics ranging from workplace stress to existential philosophy to romantic relationships. A Guide For LLM-Assisted Web Research (1 minute read) This article provides strategies for using LLMs to enhance web research efficiency and accuracy. Key techniques include refining prompts and leveraging LLMs for summarization. 🧑‍💻 Engineering & Research Report: AI is driving higher conversion rates for ecommerce by making shopping more conversational (Sponsor) A new survey by Bloomreach reveals that shoppers now expect natural, conversational search experiences — and they're voting with their wallets. Sites with conversational AI see 33% higher revenue per visit, with 93% of consumers saying this is an important part of their buying experience. Download the full report to see how leading brands are adapting. Two new additions to the OpenAI API (2 minute read) OpenAI recently added Deep Research and Webhooks to its API. The models are the same post-trained o3 and o4-mini models that power deep research in ChatGPT. They support MCP and Code Interpreter. Webhooks allow developers to receive notifications for certain API events, such as completed responses, fine-tuning jobs, and batch jobs. Links to guides on how to get started with the new features are available in the post. FLUX.1 Kontext [dev] - Open Weights for Image Editing (4 minute read) FLUX.1 Kontext [dev] is a 12B parameter model that can run on consumer hardware that delivers proprietary-level image editing performance. It is available as an open-weight model under the FLUX.1 Non-Commercial License, which provides free access for research and non-commercial use. The model is compatible with the existing FLUX.1 [dev] inference code and comes with day-0 support for popular inference frameworks like ComfyUI, Hugging Face Diffusers, and TensorRT. Transformers without Normalization (29 minute read) Meta's FAIR team demonstrated that Transformers can match performance without normalization layers by replacing them with Dynamic Tanh (DyT), a simple element-wise operation that mimics the S-shaped curves naturally produced by layer normalization. This challenges a decade of neural network orthodoxy and could trigger a wave of architectural simplification across AI systems, potentially making models easier to deploy and optimize for specialized hardware. 🎁 Miscellaneous AI disruptor DeepSeek's next-gen model delayed by Nvidia GPU export restrictions to China — short supply of AI GPUs hinders development (3 minute read) DeepSeek used a cluster consisting of 50,000 Hopper GPUs to train its R1 model. It is unclear whether R2 has already been fully pre-trained, but reports say that DeepSeek's CEO still isn't yet satisfied with its capabilities. The restriction of Nvidia shipments is limiting how R1 is used today and making it harder for DeepSeek to get ready for the launch of R2. While the company claims to have developed its models using far fewer resources than US companies, the recent export curbs highlight how China's top AI companies remain heavily dependent on US hardware. Why a16z VC believes that Cluely, the 'cheat on everything' startup, is the new blueprint for AI startups (3 minute read) Cluely, a startup backed by a16z, uses controversial marketing to attract attention and quickly convert it into paying customers, aligning with a16z's view that speed and momentum are crucial for AI startup success. Partner Bryan Kim believes Cluely's strategy embodies the concept of "momentum as a moat," emphasizing the rapid adaptation necessary in the evolving AI landscape. Cluely's upcoming product launch will test whether this approach proves effective. ⚡ Quick Links Want more news from TLDR? (Sponsor) You'll probably like our flagship newsletter. It's all about tech, science, and programming. Same quick format. Still free. Subscribe now. AI is doing up to 50% of the work at Salesforce, CEO Marc Benioff says (3 minute read) Salesforce utilizes AI for 30% to 50% of its work, enhancing efficiency and reducing costs. YouTube's AI Carousel (2 minute read) YouTube rolled out an AI‑generated results carousel that packages short video clips and topic summaries directly in search, an experiment now available to US Premium members for travel, shopping, and activity queries. Creative Commons debuts CC signals, a framework for an open AI ecosystem (3 minute read) Creative Commons' CC signals framework allows dataset holders to detail how their content can or cannot be reused by machines. Fault Tolerant Llama: training with 2000 synthetic failures every ~15 seconds and no checkpoints on Crusoe L40S (15 minute read) Researchers used torchft and torchtitan to train a model in a real-world environment with extreme synthetic failure rates to prove the reliability and correctness of fault tolerant training. 12-Factor Agents (40 minute read) This post discusses 12 core engineering techniques that make LLM-powered software more reliable, more scalable, and easier to maintain. A Lightweight Robotics VLA Model (31 minute read) SmolVLA is a 450M parameter Vision-Language-Action model designed for robotics on consumer hardware. Love TLDR? Tell your friends and get rewards! Share your referral link below with friends to get free TLDR swag! https://refer.tldr.tech/0b6a6dc1/2 Track your referrals here. Want to advertise in TLDR? 📰 If your company is interested in reaching an audience of AI professionals and decision makers, you may want to advertise with us. Want to work at TLDR? 💼 Apply here or send a friend's resume to jobs@tldr.tech and get $1k if we hire them! If you have any comments or feedback, just respond to this email! Thanks for reading, Andrew Tan, Ali Aminian, Jacob Turner & Sahil Khoja Manage your subscriptions to our other newsletters on tech, startups, and programming. Or if TLDR AI isn't for you, please unsubscribe.