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We actually have a 127% NET REVENUE RETENTION (our voice agents are pretty good). They sound human, run 24/7, and never ask for PTO. IF YOU WANT TO SEE FOR YOURSELF, we're offering to build you a custom agent for your business for free. GET IT HERE [11].
Parallel Extract is an API that fetches content from URLs and returns it as Markdown. It is built on the same proprietary web index and retrieval infrastructure that powers Parallel's Search, Task, FindAll, and Monitor APIs. Parallel Extract can reliably extract information from the most challenging sites. Developers can try Extract for free in the Parallel Developer Platform.
cline-bench is a new initiative focused on creating high fidelity benchmarks and reinforcement learning environments derived from real open source development scenarios. AI models have advanced significantly, but the field still lacks a rigorous open source benchmark that represents real engineering work. Model labs require evals that expose real breakdowns. cline-bench supports the next stage of AI research and development by creating research-grade environments that capture actual engineering constraints.
Autocomp is a framework for optimizing tensor accelerator code. It helps hardware designers extract the full performance of tensor accelerators. Autocomp outperforms human expert kernel writers by up to 17x on AWS Trainium. It is highly portable and easy to use.
ACT-1 is a frontier robot foundation model trained on zero robot data. It was trained with special Skill Capture Gloves, which allow for data collection from anywhere without having to move robots around. The glove-based data collection produces higher quality data than teleoperations on contact-rich tasks. Videos of Sunday Robotics' Memo robot performing tasks using the ACT-1 model are available in the thread.
OpenAI dominates the AI landscape with secretive financials and a rapid expansion strategy across data centers, applications, and devices. CEO Sam Altman's aggressive partnerships with Nvidia, Broadcom, Oracle, and AMD underscore a $500 billion growth trajectory. Despite concerns about competition, industry leaders see OpenAI's rapid pace as both a challenge and an asset, sparking a "gold rush mentality" in AI investments.
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Engage 6+ million tech professionals right here in TLDR newsletter! Learn more about advertising opportunities here [17].
Google has integrated SynthID-based AI image verification into the Gemini app, allowing users to check whether an image was generated or edited by Google AI directly through simple queries.
OpenAI published case studies from collaborations with institutions, including Oxford, Berkeley, and Lawrence Livermore, showing GPT-5 helping researchers solve problems that took months in minutes.
In the latest in a string of high-profile deals, OpenAI will work with Foxconn on the design of data center racks and AI hardware components.
Olmo 3 is a new suite of fully open models at 7B and 32B sizes.
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Generic AI code review catches typos, style issues, and things that _might_ be a problem. Sentry's AI code reviewer (AKA Seer) [4] knows exactly which changes will cause issues based on what's broken before, in your actual environment.
GPT-5.1-Codex-Max is trained to operate across multiple context windows through "compaction", allowing it to work over millions of tokens and complete tasks spanning 24+ hours. The model achieves 77.9% on SWE-bench Verified while using 30% fewer thinking tokens than its predecessor.
xAI is in advanced talks to raise $15 billion in new equity at a $230 billion valuation. The startup has raised billions of dollars to compete with OpenAI and expand the capabilities of its chatbot, Grok. The startup recently lost several senior executives. It was previously valued at $113 billion in March after it acquired social media site X.
Google is dramatically under-capitalizing on the strongest context position in the industry. Gemini hides its workspace connector in its settings, treating it as an optional enhancement, not the center of the product. This is almost certainly because Google is trying to play it safe. The company has an opportunity to turn its dormant context advantage into experiences that would be impossible anywhere else.
GPT-5.1 Pro is a slow, heavy-weight reasoning model that feels intelligent and can handle tough problems. It follows instructions well without going off the rails, making it feel like a contract engineer working from a spec rather than an assistant. Its biggest weakness is its interface, as is lives in ChatGPT, not in the IDE. Gemini 3 is still better for most day-to-day work. However, GPT-5.1-Pro wins in deep thought, planning, and research.
OpenAI published a framework arguing that evaluation systems ("evals") are bridge between AI's probabilistic nature and business outcomes that breakdown into three phases: 1) experts defining success, 2) stress-test systems with real-world edge cases, and 3) continuous monitoring to build proprietary datasets that compound into competitive moats.
Gemini 3 Pro responds best to direct, structured prompts with behavioral constraints placed at the top rather than scattered throughout. Unlike previous versions, it defaults to concise responses unless explicitly asked to be conversational. The model handles long contexts better when instructions appear after data rather than before and treats multimodal inputs as equal-class data requiring explicit cross-modal instructions. It benefits from explicit planning steps with self-critique loops using XML or Markdown formatting.
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Miro's new _Momentum at Work_ [11] report shows 69% of IT leaders report workflow disruption from employees toggling between core tools and AI apps. Worse: 33% see AI actually increasing organizational silos. Get the full report [11] or read key takeways and insights from
PINA, a new open-source library for Scientific Machine Learning, is now part of the PyTorch ecosystem. It offers a modular, scalable workflow for modeling scientific systems, including PDE solvers and physical simulations.
Meta open-sourced SAM 3 with major updates to its segmentation model, including support for text and visual prompts. It can now track and segment objects across video, enabling more flexible media workflows.
The secret behind Gemini 3 is improved pre-training and post training. The pre-training team delivered a massive jump using scaling. Post-training is still a total greenfield. There is a lot of room for algorithm progress and improvement.
Clem Delangue, CEO of Hugging Face, says that the LLM bubble may be bursting next year. However, that doesn't mean that 'AI' will collapse - LLMs are just a subset of AI technology. We are still at the very beginning of AI, and we'll see much more in the next few years. It is more likely that we will end up with a multitude of models that can solve many different problems rather than one type of model that will solve all problems for all companies.
alphaXiv has raised $7 million in seed funding in a round co-led by Menlo Ventures and Haystack. The startup aims to help engineers transform the latest academic discoveries into cutting-edge AI features by streamlining their paths from research to production. Its platform allows researchers to publish their latest papers, connecting them to engineers who use the knowledge to create new AI features. alphaXiv aims to become the de facto global workspace for AI researchers.
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AssemblyAI combines Speech-to-Text, speaker detection, and LLM insights in one API. Build scalable, production-ready Voice AI apps in
OpenAI launched ChatGPT for Teachers, offering verified US K–12 educators free access to GPT-5.1 Auto with Google Drive and Microsoft 365 integrations, education-grade security, and admin controls.
Meta's Vibes AI video feed had 2 million daily active users as of early November.
The Former Treasury Secretary resigned from OpenAI's board following a House panel's release of years of email exchanges with Jeffrey Epstein including messages where Summers appeared to seek relationship advice.
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Lovart's design agent is the biggest revelation since Midjourney, and it's absolutely exploding: 3M+ USERS ARE NOW turning prompts into brand-ready visuals, videos, and decks [4].
Grok 4.1 is the top model on LMArena. xAI touted its large-scale post-training infrastructure as responsible for targeted improvements to emotional intelligence and creative writing, which suggests it is pursuing consumer-focused AI companion use cases currently dominated by ChatGPT.
Arm-based Neoverse CPUs can now be paired with Nvidia's GPUs using Nvidia's NVLink Fusion technology. Microsoft, Amazon, and Google are all developing or deploying Arm-based CPUs in their clouds. The partnership will make it easier for customers of both companies to pair hardware together. The announcement signals that Nvidia has decided to open up its NVLink platform instead of forcing customers to use its CPUs.
Apple's MLX framework is great for science workloads because it was designed from the ground up to take advantage of Apple's unified memory architecture. Models like AlphaFold are memory-intensive, and almost all protein software is heavily optimized for CUDA. This post shows how a developer got AlphaFold to run on an Apple M chip machine. ARM chips like the Apple M are extremely fast and use only a fraction of the wattage that a single CUDA card needs, and getting a Mac device is a lot easier than getting a Blackwell GPU.
This roadmap outlines the progression of video generation systems into full-fledged simulators that combine internal physics-aware world models with visual rendering. It defines four developmental stages toward interactive and stochastic virtual environments.
It takes way more FLOPs to get a single sample in RL than it does in supervised learning. RL requires unrolling a whole thinking trajectory tens of thousands of tokens long to get a single reward signal at the end. In pretraining, you get a signal on every single token you train on. For most of training, the information density per sample is way lower for RL compared to supervised learning.
Agent Labs primarily research and sell agents. They put product first and use outcome-based pricing, as opposed to Model Labs, which put models first and price per token. Agent Labs have better cashflow economics, but it might take longer to see exit valuations. The Model Lab mission may be shifting, at least until the next big algorithm shift.
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Notion isn't just for notes anymore. It's the all-in-one AI workspace where you can record and summarize meeting notes, generate action plans, search for answers across tools, chat with your organizational knowledge, and a whole lot more [11]. Try it for yourself with Notion's interactive product tour [11].
WeatherNext 2 is an AI model that delivers efficient, accurate, and high-resolution global weather predictions. It can generate forecasts with a resolution of up to an hour. The model's forecast data has been released. WeatherNext 2 will be integrated to help power weather information in Google Maps in the coming weeks.
This guide walks through building a coding agent using GPT-5.1 and the Agents SDK, leveraging tools like shell execution, patch editing, web search, and Context7 MCP for live documentation access.
Frontier models today are served through massive, centralized cloud computing services that are straining electric grids. The performance gap between these large models and much smaller models, the kind that can run on a phone or laptop, is shrinking.
AA-Omniscience is a benchmark for knowledge and hallucination across more than 40 topics. It punishes hallucinations by deducting points when models guess rather than admitting they do not know the answer. The benchmark complements the Artificial Analysis Intelligence Index by incorporating the measurement of knowledge and probability of hallucination. This thread contains the benchmark results from testing cutting-edge models against AA-Omniscience.
Replicate, a platform for running AI models, is joining Cloudflare. Existing Replicate users will be able to continue work without interruption. Existing Workers AI users will soon receive a massive expansion of the model catalog and the new ability to run fine-tunes and custom models directly. Cloudflare's AI Gateway will provide users with a single control plane for observability, prompt management, A/B testing, and cost analytics across all of their models, whether they're running on Cloudflare, Replicate, or any other provider.
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Dive into findings from Atlassian's latest developer productivity research, and learn how AI-driven workflows and centralized knowledge empower engineering teams to focus on innovation. Join live on
The unreleased system generates roughly 100 ideas on a topic, then spawns agent teams that compete in a tournament-style bracket for the best result.
Current and former OpenAI employees with eligible shares will be able to donate their shares for a short period.
Databricks is in talks to raise funds at a valuation above $130 billion, though nothing has been signed yet.