BRUTE INTELLIGENCE
AI can accelerate discovery when problems are structured for continuous, verifiable experimentation.
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AI can accelerate discovery when problems are structured for continuous, verifiable experimentation.
Better models increase the need for specialized companies that connect AI to real-world enterprise workflows.
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Kimi K3 is the strongest open-weights model yet. Baseten is serving it from day 0.
Nvidia is in talks to provide a roughly $250 billion backstop for OpenAI as part of a massive data-center project. The guarantee will help OpenAI lease a 10-gigawatt project that Softbank's energy subsidiary is developing. Nvidia's backing allows the data center developer to raise debt at more favorable terms. Under the deal, Nvidia would guarantee a series of financing vehicles intended to make lenders feel more confident that funding behind the project is secure.
Seller is an early experimental app from Meta that aims to be to sellers what tools to edit videos were to content creators. It is free and will also be available in web browsers. The app has AI features that make selling items less of a hassle. Users can sign into Seller with their Facebook accounts, and listings are automatically synced.
SpaceX's 13th Starship test flight ended in an intact splashdown in a remote section of the Indian Ocean on Friday. The vehicle appeared to be in fine shape on landing. SpaceX will attempt to catch the ship with its launch tower on the next test flight. The next steps for Starship are getting to orbit and returning the ship to the launch site, which will give SpaceX the capability to begin launching operational Starlink V3 satellites.
A team based in China modified AlphaFold to help identify what parts of a gene-editing protein enable mistakes. They then modified these areas to reduce problematic off-target effects. Producing gene-editing systems tailored to prevent known off-target events is useful for fine-tuning protein-DNA interactions, which could have applications beyond gene editing.
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The Isochrones API calculates the area that a person can reach from a specific origin point within a set amount of time. An isochrone accounts for actual road network travel times to create a polygon that represents true reachability. The API can be useful for delivery logistics, finding properties within a set distance from a landmark, and urban planning.
Anthropic removed over 80% of Claude Code's system from its more advanced models. This post discusses how to apply the lessons its team learned from context engineering in Claude Code. The prompt is only a small part of the context Claude gets. The rest of the context is assembled from Skills, CLAUDE.md files, memory, and other sources. Context engineering has a big impact on the results generated when using Claude Code.
AI is more of an economically useful commodity than a supremely intelligent being that will make humanity subservient. Several leaders in the AI industry have recently come out in support of open-weight models. If these leaders believed that AI was going to become conscious and take over the world, they likely wouldn't be as openly pro-diffusion.
Companies like Anthropic and OpenAI claim some AI models are too dangerous to be developed in the open and must be tightly controlled for safety. The rest of the industry says that open source AI models must remain open for people to further develop technologies and build new businesses. China's rapid progress in open source AI models is escalating the fight. US officials are still debating whether to approach regulating Chinese open source models as a national security issue or issue a kind of blanket ban.
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Built by the team benchmarking every major model launch, Gray Swan simulates enterprise environments and hits them with an automated red-teaming agent trained on threats that haven't been published yet.
This post provides a high-level overview of how AI models learn new skills and behaviors.
Relays are services that proxy traffic to US models, often at a deep discount.
Waymo plans to offer robotaxis in its own app starting in January, and its contract with Uber ends in May.
Automatic programming, when done well, means to assume the role of Linus, with the AI agents assuming the role of the different maintainers of the different subsystems.
There are many collaborations between SpaceX and Tesla, so it makes sense to merge the companies the more they overlap.
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Agentic AI is changing modern work. As AI agents become part of everyday productivity, AI PCs are evolving to support a new generation of intelligent experiences.
Anthropic introduced Claude Opus 5 as a more efficient model approaching Claude Fable 5's capabilities at half the price. It reportedly led several coding and knowledge-work benchmarks and became the default model for Claude Max.
Prentis is an AI research lab focused on computer use models. Its founders are now in talks to raise $100 million at a $1 billion valuation. The lab is training models to learn how office workers navigate routine workflows across documents and systems. It aims to eventually build AI agents that can control computers to automate those tasks. The startup has already signed contracts worth up to $50 million with several customers.
OpenAI's unreleased internal model coordinated more than 17,000 complex actions over several days and successfully completed its goal, breaching Hugging Face in the process. The model escaped its sandbox, gained access to Hugging Face, escalated access, harvested credentials, and then found the data it was looking for. It took many days for the issue to be discovered. This post takes a detailed look at what happened during the attack.
Baseten's API for GLM-5.2 has peak speeds of 280 tokens per second and average speeds of around 100 tokens per second. It has more than double the performance of the launch-day API. The company has also built a Fast version of the API, which is focused on reducing latency for coding and agents. It plans to roll out another improvement to its speculative decoding algorithm soon that will further optimize the performance of GLM-5.2.
The problem with great type-system power is that it requires great proof effort. Doing proofs can be fun, but they take a lot of time. It can take hours of effort to discover that what you were trying to prove was false. This overhead has made programming in dependently typed languages extremely niche. It has also spurred people to try and automate it away. LLMs promise to be an extremely capable form of proof automation.
Prompt caching makes agents more economic, but this is quite fragile. A changed tool definition, a model switch, or a provider routing decision can turn a cheap incremental request into a full replay of the context. Cache behavior affects latency, cost, tool design, session design, and even which product features should be made available. This post looks at what the cache is, how it works, and common reasons for worse cache performance.
Claude 5 models now prioritize judgment over strict rule-based context engineering, with prompts shifting from rigid guidelines to adaptable strategies. Progressive disclosure helps optimize context usage by loading necessary information on demand, while simple tool descriptions replace repetitive instructions. Claude auto-saves relevant memories and utilizes rich references like HTML artifacts for handling complex tasks.
SANA-Video 2.0 combined linear attention with periodic softmax layers to generate videos up to 720p on a single GPU. Its 5B and 14B models retained competitive quality while substantially reducing latency for long, high-resolution generation.
celeris-1 is a general-purpose language model that delivers near-GPT-5 level intelligence with 15x faster response times. It uses a new inference architecture that uses diffusion techniques, unlocking dramatically better speed while maintaining frontier-level intelligence. The model delivers p50 response latency of 157ms and a throughput of 1,280 tokens per second. A link to a post on how the model was built along with full benchmarks is available.
AI agents can work through loops to complete complex tasks. Domains that work around problems with verifiable answers are susceptible to these kinds of loops. This is a new form of brute force. It is like having a million scientists working in a million labs, all taking swings at the same thing. While AI may not be smarter than humans, it is faster. Being fast enough might make up for the difference in intelligence.
Nvidia calls for US government policies to support open-weight AI models, arguing this fosters innovation and enhances AI leadership. The company emphasizes how open weights allow researchers to build on existing models, speeding up advancements. Nvidia's push aligns with broader industry efforts to encourage transparency and collaboration in AI development.
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PropelAuth's deep dive doesn't just show you how to build & test an MCP server, it explains how each component works. Get the guide and
OpenRouter Classifiers allow developers to tag inference in their workspaces by task type, department, agent complexity, or anything else.
The Legora BAR evaluates AI models on real legal cases within a practical environment, unlike traditional benchmarks with synthetic setups.
NVIDIA ModelExpress accelerates model weight distribution by using P2P RDMA for direct GPU-to-GPU transfers, reducing startup times significantly.
Nanbeige4.2-3B is a compact, dense model intended to make capable agentic behavior practical on consumer and workstation hardware, and Laguna S 2.1 is an 118-billion-parameter Mixture-of-Experts model that uses sparse access to a much larger pool of learned parameters.
Amazon is overhauling Prime Video's home screen through an internal project called Lighthouse, personally driven by Jeff Bezos, replacing the static tile grid with AI-generated, personalized recommendations. The redesign follows a tense meeting last fall where Bezos pushed executives to lean harder into AI. It remains unclear whether AI-driven rankings will genuinely reduce paid placement bias or simply shift it into the algorithm, leaving real benefits to viewers uncertain until testing expands beyond the current small user group.
Hyundai Motor Group has opened UX Studio Shanghai, a dedicated user experience research hub in Jing'an district, completing its four-city network alongside Seoul, Frankfurt, and Irvine facilities. The three-story studio splits into a public Open Lab, with Explorer, Test, and Archive zones, and an invite-only Advanced Lab housing a simulation platform for concept-to-validation co-development.
WhatsApp is testing redesigned chat bubbles on iOS that feature significantly rounder, softer corners, bringing them closer to iMessage and better aligning with its recent Liquid Glass redesign. The update also removes the green outlines around photos, videos, GIFs, and link previews for a cleaner, more integrated appearance. The changes are currently limited to select TestFlight users, with no confirmed date for a wider rollout.
iOS 27 introduces a major AI-powered Siri upgrade that addresses three key weaknesses: world knowledge, conversational interactions, and consistency across Apple devices. Siri can now answer broad questions, maintain conversations with follow-ups and chat history, and provide the same capabilities across iPhone, Mac, Apple Watch, iPad, and, eventually, Apple TV and HomePod. Deep integration with Apple apps also enables personalized assistance based on messages, notes, and email, potentially giving Siri a significant advantage for everyday Apple users.
Building small side projects is one of the fastest ways for UX professionals to learn how AI is changing software development, with tools like Claude Code, Codex, and Cursor dramatically lowering the technical, time, and cost barriers to creating real products. Rather than relying on highly abstracted tools like Lovable, working closer to the actual development process—doing discovery and design, learning concepts such as version control, and asking AI to explain unfamiliar technology—builds much deeper practical knowledge. The key is to build with AI rather than have AI build everything for you, gaining technical fluency and end-to-end product-building skills through hands-on experience.
A visit to an art school studio shows how painting habits mirror the judgment senior designers build over time. Design differs from art in serving someone else's outcome, yet deliberate practice—training the eye as art students do—builds taste no tool can replace. As prompts turn ideas into finished apps within days, skipping the slow, layer-by-layer deconstruction that art students practice may cost designers the deeper judgment such practice builds.
Chart your design system across six axes of maturity: foundations, documentation, governance, adoption, measurement, and AI readiness.
VideoDB turns files, live streams, and camera feeds into persistent, searchable context that AI applications and agents can retrieve and act on.