In a flood of "AI-washing," it's hard to tell what's trustworthy. For enterprises with sensitive IP, there's Redwood RangerAI. Benefit from AI and agentic orchestration without the governance headaches. See how
Security Swarm by Devin scans code for vulnerabilities like RCE, SQL injection, and SSRF, using a unique Agentic MapReduce method to efficiently handle large codebases.
After training on 110 legal tasks, Harvey's wake-sleep agent improved held-out all-pass rates from 2.9% to 15.7% by distilling graded trajectories into reusable lessons.
STEPFUN [4] builds language, vision, and audio models.
⚡ STEP 5 PREVIEW costs $1/M input and $2.70/M output tokens, and scores near Claude Opus 5 (Medium) on AA's Intelligence Index. Built for coding agents, financial analysis, and long-running work, with a 1M-token context. NOW ON OPENROUTER AND AVAILABLE IN OPENCODE, KILO
OpenAI's GPT-6 introduces Intelligent UI to 1.2 billion ChatGPT users, enhancing responses with text, visuals, and interactive elements. It combines UI with data for dynamic, custom responses, and improves answer quality for complex queries. GPT-6 also features enhanced safety, ensuring better risk recognition and adherence to safeguards.
Claude Haiku 5.5 is optimized for high-volume, cost-sensitive tasks, offering lower operating costs and faster performance for applications like summaries and customer support. The model provides significant pricing advantages, being 75% cheaper than Haiku 4.5 for tasks involving prompts up to 100,000 tokens. Enhanced safety and cybersecurity safeguards make Haiku 5.5 more secure, with broader availability across major cloud platforms like AWS and Azure.
Elon Musk's Grok Bot will integrate Anthropic's Claude Opus 5.5, Midjourney, and Suno, expanding beyond SpaceX's AI models to optimize task outcomes. This update follows reports of access issues with Grok on mobile and web. Grok Bot competes with personal AI agents like Meta's Muse, despite privacy concerns from some early users.
The Perplexity team launched PPLX-EMBED-V2-LATE, providing multi-vector, multimodal embeddings that enable richer retrieval across text and images. These models retain token-level vectors and utilize a shared embedding space, leading to improved retrieval on benchmarks like ViDoRe(V3). Available in two sizes, 0.6B and 9B, they offer industry-leading performance for various retrieval tasks while maintaining efficiency.
Anthropic isn't very transparent about its corporate structure. It is in the public's interest for the company to be transparent about who controls and governs increasingly capable AI models. This article looks at what is publicly known about Anthropic's corporate structure. It focuses on the aspects relevant to control of Anthropic's business rather than the parts that are only about economic benefits.
Ads get ignored on social media but not in TLDR! Reach developers, PMs, marketers, founders and other tech leaders where they actually pay attention. Learn more about sponsorship opportunities [12].
OpenDocRouter is a platform for document-to-Markdown parsing using the latest open-source and frontier models. Each model runs a versioned recipe consisting of prompts, processing, and settings. The API accepts PDFs, PNG, JPEG, or URLs to those file formats. Users can toggle between synchronous responses, where the result is returned directly, and asynchronous responses, where a job is created that requires polling.
Broadcom has been working to arrange more than $50 billion in financing for OpenAI's custom AI chip. Apollo and Blackstone are among the lenders Broadcom has talked to about participating in the deal. Oracle is separately in talks with Apollo and Goldman Sachs to arrange money for a big purchase of chips. SpaceX has talked to lenders in recent days about a $40 billion chip financing for Nvidia chips.
Tony Fadell highlights the failure of early AI gadgets like the Rabbit R1, citing their inability to address real consumer needs and establish trust. Meta's recent AI assistant, Muse, faced security issues, showing the challenge of securing personal AI. Fadell suggests that successful AI assistants must operate on-device for privacy, with Apple being well-positioned due to its hardware and consumer trust, despite lacking a proprietary AI model.
Texas paused issuing new data center permits due to its overwhelmed grid and speculative projects filling its approval queue. The state aims to ensure projects can support their grid upgrades and align with community needs regarding resources like water and noise. To manage demand, Texas is considering allowing data centers to bring their own power on-site or increase flexibility with grid connections to address capacity constraints.
NVIDIA and Microsoft announced a collaboration to integrate AI agents into Windows PCs, leveraging RTX Spark technology and Microsoft's new Execution Containers for securely running agents.
Google expanded SynthID Detector globally, letting anyone check images, video, or audio for watermarks from Google and partners including OpenAI and NVIDIA.
Copilot. Cursor. Agentforce. Your teams switched on agents months ago. Ask who reviewed them, then what they can reach. That gap is now its own market: GARTNER'S EMERGING MARKET QUADRANT FOR AI APPLICATION SECURITY named Zenity one of two startup Market Shapers, after naming
Nano Banana 2.1 is a member of the Gemini 3 series of models. It can take text and image inputs and output images and text. Based on Gemini 3.6 Flash, the model has a token context window of up to 1 million. Nano Banana 2.1 is available in the Gemini app and API, Google AI Studio, Google Search AI Mode, Google Ads, Google Flow, and Google Stitch.
OpenAI has released a broad range of mathematical results produced by an internal frontier model. It has published the results in a GitHub repository along with protocols for paper revisions and citations. The repository contains formalizations of many of the proofs in Lean and will be updated with more formalizations as they are obtained. It also includes 10 summaries of the model's reasoning, estimations of compute spent in terms of Pro usage on ChatGPT, and statistics about the number of attempted problems.
Open-weight models potentially pose an untenable risk to society's functionality. Chinese companies continue to release open-weight models with strong cyber capabilities. GLM-5.3 crosses a threshold of capability, but there is little public evidence that much has changed. Some say that open-weight models will result in a crippling of cyber infrastructure - after many years of debating open-weight risks, we will finally start to get some real answers.
Google Project Zero examined how large software vendors can patch urgent vulnerabilities faster than their normal release cycles allow. The guide breaks down the full remediation pipeline (from triage and development through testing, delivery, and activation) and highlights systems designed for exceptional security incidents.
Models and agents ship faster than governance can track. Score your stack on 12 checks, from lineage to risk tiering, and find trust gaps keeping pilots out of production. Five minutes; answers stay in your
The Personal Agent Protocol is an open standard that Meta and Sierra are developing along with other industry partners. It is designed to handle authentication, empower consumers, and give companies visibility into what personal agents do through their websites, APIs, or company agents. Consumers decide what access to give their personal agents, and companies set parameters for what those agents can do. The protocol is open for anyone to implement.
OpenAI's Decisions API is now available to all developers in public beta. It makes decisions up to 10 times faster than GPT-6 Luna through the Responses API. The Decisions API accepts text and image inputs and supports three kinds of outputs: predicates, choices, and scores. It costs $0.10 per 1 million input tokens - there are no cache-read, cache-write, or output-token charges.
EmbeddingGemma 2 is a 740M-parameter model that maps text, code, images, audio, and video into a shared embedding space. Built for on-device inference and released under Apache 2.0, it enables multimodal search and retrieval without sending data to the cloud.
Pantheon rapidly assembled a robust UMI data collection operation, creating a diverse dataset to improve dexterous manipulation in robotics. They built custom infrastructure and hardware, drastically reducing data collection costs from $60/hr to $10/hr while ensuring data diversity. By incorporating innovative freeform and scripted methodologies, Pantheon accumulated over a million unique tasks, overcoming traditional data limitations for enhanced AI model training.
TLDR is hiring its first PM to help build the agent-first operating layer used across the company. We're looking for a builder who has shipped real products/systems with LLMs. Click here to learn more [18].
DeepSeek is nearing a $12 billion raise, surpassing its initial 50 billion yuan target, with Tencent and CATL as major contributors. The funding boost follows the release of DeepSeek's latest AI model, with expectations it might reach 100 billion yuan. The company is also preparing for a potential Shanghai STAR Market IPO, employing CITIC Securities for assistance.
China has made recruiting the world's best scientists a national priority. It introduced a visa for scientists and is offering lucrative research grants. Foreigners are not coming despite those efforts. The number of Chinese scientists working in the US has risen rather than declined.