Airbnb's CEO, Brian Chesky, said that he didn't integrate Airbnb's travel app with OpenAI's ChatGPT because ChatGPT's connective tools aren't quite ready yet. Airbnb will monitor the development of ChatGPT's app integrations and may consider adding them in the future. Chesky, who is close friends with OpenAI CEO Sam Altman, said he advised OpenAI on its new capability for third-party developers to make their apps available within ChatGPT. Airbnb on Tuesday announced new AI tools to let customers take more actions without the need for a live representative. The company's AI customer service agent now displays action buttons and links that can help people complete reservation changes and cancellations.
YouTube has launched its likeness-detection technology for eligible creators in the Partner Program, allowing them to request the removal of AI-generated content that uses their face or voice.
Did you know 40% of AI pilots never achieve lift off? Thoughtworks' latest whitepaper uncovers why — and reveals how the FOREST framework can turn promising pilots into production-scale success.
Anthropic has launched a browser-based version of Claude Code. The beta allows users to connect GitHub repositories and delegate multiple tasks simultaneously across different repositories, with each session running in isolated sandboxes.
It is estimated that Anthropic spent $2.66 billion on AWS through September against $2.55 billion in estimated revenue, before accounting for Google Cloud costs or operations. Cursor's AWS bills doubled from $6.2 million to $12.6 million in June after Anthropic introduced Priority Service Tiers that sharply increased caching costs. Anthropic's costs appear to scale linearly with revenue - the path to profitability might have to be dramatic price increases.
Anthropic launched a web app for Claude Code yesterday. It is now rolling out to Pro and Max users. Anthropic is attempting to evolve Claude Code beyond a command-line interface tool. It hopes developers will spin up AI coding agents in more places now that Claude Code is on the web. Claude Code has grown 10x in users since its broader launch in May. It now accounts for more than $500 million of Anthropic's annual revenue.
Pro-AI-bubble arguments are remarkably weak, given the amount of bubble talk. The recent series of circular deals done in close succession has raised concerns. If there is a massive financial crisis or bubble pop that affects AI, it will be mostly for mundane economic reasons rather than the technology not making rapid progress. Such a crisis will have, at most, modest effects on timelines.
Geospot Infinity is a photo-to-GPS model. It retrieves 10 candidate coordinates for each upload and ranks them for the user. Users then pick the closest. The model attempts to learn from interactions via online reinforcement learning. It turned out that over 65% of users would just click the first guess regardless of accuracy, effectively nullifying the model's ability to learn anything.
BERT-style models are essentially just text diffusion models trained on one masking rate. Masked language models can be repurposed into full generative engines by interpreting variable-rate masking as a discrete diffusion process. The standard masked language modeling objective can be turned into a step-by-step generation procedure by gradually corrupting text with mask tokens and training the model to iteratively denoise at increasing mask intensities. A fine-tuned RoBERTa can generate coherent-looking text after slightly modifying the training objective, even without architectural changes.
Testing ChatGPT, Claude, and DeepSeek across English, Chinese, Arabic, Hindi, French, and Spanish revealed striking consistency in liberal, secular values regardless of language. All models strongly disagreed that sons deserve education priority over daughters, despite many humans worldwide answering yes. AIs seem to share a mostly cohesive, single underlying worldview across languages rather than adapting to local cultural values.
Accelerate your AI/ML initiatives with AWS Marketplace solutions. Explore data architecture tools [13] for secure scaling, discover implementation guides [13], and start your free trial today to transform your AI development from proof-of-concept to production-ready applications.
DeepSeek-OCR was created to investigate the feasibility of compressing long contexts via optical 2D mapping. It consists of DeepEncoder and DeepSeek3B-Moe-A570M. DeepEncoder serves as the core engine, while DeepSeek3B-Moe-A570M acts as a decoder. DeepSeek-OCR can generate training data for LLMs and VLMs at a scale of over 200,000 pages per day. Experiments show that when the number of text tokens is within 10 times that of vision tokens, the model can achieve a decoding precision of 97%.
Researchers built malware that uses Windows' built-in AI model to autonomously find and exploit security vulnerabilities without connecting to external servers. The technique only works on systems with NPUs or GPUs since CPU inference would be prohibitively slow, limiting deployment to CoPilot+ PCs and high-end computers until AI hardware becomes standard.
OmniVinci is a multi-modal architecture with novel techniques for aligning and encoding image, video, audio, and text data. The 9B-parameter model outperforms Qwen2.5-Omni across perception benchmarks while requiring just a fraction of the training tokens.
Anthropic is pushing into life sciences following OpenAI and Google with connectors to Benchling, PubMed, BioRender, and genomics platforms, alongside dedicated Agent Skills for tasks like single-cell RNA sequencing quality control. The company aims to support the entire research workflow from early discovery through regulatory compliance and commercialization, rather than just individual tasks like code writing or paper summarization.
Adobe has released AI Foundry, a new service that allows enterprises to train Firefly-based generative models on proprietary branding data. The offering supports output across text, images, video, and 3D, and shifts pricing to usage-based billing for greater flexibility.
AI agents embed untrusted actors within themselves in their training, so fixing hallucinations is insufficient because even if an AI accurately interprets its inputs and produces corresponding output, it can be fully corrupt.
LAVA is a scheduling algorithm that continuously re-predicts and adapts to the actual lifetimes of virtual machines to optimize resource efficiency in large cloud data centers.
Google Maps integration is now available in the Gemini API, enabling developers to incorporate Maps data into geospatial-aware AI applications. The tool enhances use cases in travel, real estate, retail, and logistics by providing precise, location-based responses. The tool's combination with Google Search further boosts response quality, offering structured data and timely information.
Apple engineers testing the early iOS 26.4 build have concerns about Siri's performance despite extended development time. Internal teams are working on two Siri models, one using on-device models and the other powered by Google Gemini. Concerns persist about Apple's AI strategy, potentially leading to reliance on external solutions.
Alibaba Cloud's new Aegaeon system reduces Nvidia GPU usage by 82%, cutting the number of GPUs needed for large AI models from 1,192 to 213. Beta tested in their model marketplace, Aegaeon addresses resource inefficiency by pooling GPU power. This pooling allows one GPU to serve multiple models, optimizing concurrent LLM workload management.
In a wide-ranging conversation, Andrej Karpathy discusses AGI's economic impact, the limits of reinforcement learning, lessons from self-driving research, and his vision for the future of education.
Andrej Karpathy was recently on a podcast where he discussed AGI timelines, Animals vs Ghosts, Reinforcement Learning, AI agents, and job automation. Some of the explanations on the podcast were botched. This post expands on the topics that Karpathy discussed on the podcast to clear things up. It includes links to previous discussions Karpathy has had on these topics.
The biggest mistake people make with paid AI subscriptions is staying in auto mode, where the system picks weaker models instead of manually selecting agentic modes that are far more capable and less error-prone for real work. This guide covers practical choices like when free models suffice versus paying $20 monthly, why prompting techniques that worked on older models no longer matter, and why explicitly telling AI to act as a critic is necessary to avoid talking to a sophisticated yes-man.
Struggling to wrangle your AI agents? Watch hands-on technical sessions to bring agentic AI into your core processes [14] — without the chaos. Don't miss these high-signal talks from Camunda, AWS,
o4-mini-deep-research costs $2/$8 per million for input/output tokens. It is only available via the Responses API. OpenAI recommends running them using its background mode. This post takes a quick look at the model's abilities.
Google's Coral NPU is an open-source platform designed for low-power, always-on AI at the edge. It tackles key issues like fragmentation, performance, and privacy for edge devices and wearables.
Discoveries were simple in the early days of science. Many were discovered in the course of pursuing a hobby. To win the 2026 Nobel Prize in physics, you have to be a physicist fully immersed in the world of physics. AI research is still very much in the 'early days of science' category. While many papers look complicated, AI research discoveries are often simpler than they look. Many things we learn about AI capabilities come from informal user experimentation.
Nvidia has revealed the first Blackwell wafer made in TSMC's semiconductor manufacturing facility in Phoenix, Arizona. The Blackwell architecture is now ready for volume production. Nvidia is still working on expanding its manufacturing footprint across the US. It plans to funnel half a trillion dollars towards building AI infrastructure in the US through partnerships with TSMC, Foxconn, and other companies.
This report looks at global sector trends in generative AI, with the data ending on October 10. It covers sectors such as general AI tools, character and chat, design and image generation, writing and content, EdTech AI, customer support, and more. The report looks at total visits at the domain level and does not capture API usage or integrations.
Use Cognizant's open-source library to vibe code a working multi-agent network based on a description; connect APIs and tools; share data between agents without exposing prompts. Read the details
Meta's Yann LeCun and DeepMind CEO Demis Hassabis publicly mocked OpenAI after VP Kevin Weil claimed GPT-5 solved 10 previously unsolved Erdős problems, but the mathematician maintaining the list clarified they were only marked “open” because he personally didn't know of solutions.
Anthropic has unveiled Claude Skills, modular task-specific packages containing instructions, scripts, and resources. These make Claude more effective at specialized tasks by loading relevant context only when needed.