Latest in Artificial Intelligence
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From games to biology and beyond: 10 years of AlphaGo’s impact
Ten years since AlphaGo, we explore how it is catalyzing scientific discovery and paving a path to AGI.
Gemini 3.1 Flash-Lite: Built for intelligence at scale
Gemini 3.1 Flash-Lite is our fastest and most cost-efficient Gemini 3 series model yet.
Nano Banana 2: Combining Pro capabilities with lightning-fast speed
Our latest image generation model offers advanced world knowledge, production ready specs, subject consistency and more, all at Flash speed.
A Dream of Spring for Open-Weight LLMs: 10 Architectures from Jan-Feb 2026
This article reviews 10 open-weight large language model architectures released during January-February 2026, providing a comprehensive comparison of their features and capabilities. The releases represent a significant wave of innovation in the open-source LLM space during the spring 2026 period.
New Paper: Towards a science of AI agent reliability
Researchers have published a paper addressing the gap between AI agents' demonstrated capabilities and their actual reliability in real-world applications. The work focuses on quantifying and understanding why AI systems that perform well in testing often fail unpredictably when deployed. This research aims to establish scientific methods for measuring and improving AI agent dependability.
Gemini 3.1 Pro: A smarter model for your most complex tasks
3.1 Pro is designed for tasks where a simple answer isn’t enough.
A new way to express yourself: Gemini can now create music
The Gemini app now features our most advanced music generation model Lyria 3, empowering anyone to make 30-second tracks using text or images.
AI Won’t Automatically Make Legal Services Cheaper
The article argues that artificial intelligence won't necessarily reduce costs in legal services by simply treating it as a standard technology adoption. Instead, applying the "AI as Normal Technology" framework suggests that legal sector economics, market structure, and professional dynamics will shape how AI impacts pricing and accessibility. Cost reductions are not guaranteed without broader changes to how legal services are organized and delivered.
Fact checking Moravec's paradox
This famous aphorism is neither true nor useful
Categories of Inference-Time Scaling for Improved LLM Reasoning
And an Overview of Recent Inference-Scaling Papers
Railway secures $100 million to challenge AWS with AI-native cloud infrastructure
Railway, a San Francisco-based cloud platform with two million developers, secured $100 million in Series B funding to develop AI-native cloud infrastructure as an alternative to AWS. The funding comes as increased demand for AI applications reveals limitations in existing cloud services. Railway's growth has been achieved without traditional marketing spend, positioning it as a competitive challenger in the cloud infrastructure market.
Claude Code costs up to $200 a month. Goose does the same thing for free.
Claude Code, Anthropic's AI coding agent that can autonomously write, debug, and deploy code, costs between $20-$200 per month, making it an expensive option for developers. However, a competing tool called Goose offers similar functionality at no cost, presenting a free alternative to users seeking AI-assisted coding capabilities.
Listen Labs raises $69M after viral billboard hiring stunt to scale AI customer interviews
Listen Labs, an AI customer interview startup, raised $69M in funding after CEO Alfred Wahlforss executed a creative $5,000 billboard hiring stunt in San Francisco that went viral. The unconventional marketing campaign helped the company attract talent and gain visibility despite competing against major tech companies offering substantially higher salaries. The funding will enable Listen Labs to scale its AI-powered customer research platform and expand its engineering team.
Can AI *really* research like us? This new framework puts it to the test.
Researchers have introduced DeepResearchEval, a new framework designed to evaluate whether AI systems can perform deep research tasks at the level of human researchers. The framework automates the construction of research tasks and provides standardized testing methods to assess agentic AI capabilities in conducting complex, multi-step research. This development addresses the need for better evaluation metrics as AI systems become increasingly sophisticated in autonomous research abilities.
Salesforce rolls out new Slackbot AI agent as it battles Microsoft and Google in workplace AI
Salesforce has launched a rebuilt Slackbot AI agent that transforms the tool from a basic notification system into a fully powered AI assistant capable of searching enterprise data, drafting documents, and taking autonomous actions. The move positions Salesforce to compete directly with Microsoft and Google in the workplace AI market. The new agent integrates AI capabilities into Slack's workplace communication platform, enabling more sophisticated enterprise workflows.
Anthropic launches Cowork, a Claude Desktop agent that works in your files — no coding required
Anthropic launched Cowork, a new Claude Desktop agent that enables non-technical users to work with AI on their files without requiring coding skills. The feature was developed in roughly a week and a half, with the team largely using Claude Code itself to build it. Cowork extends the capabilities of Claude's Code tool to make AI assistance more accessible to general users.
Can an AI *finally* react like a real person during a video call?
Avatar Forcing: Real-Time Interactive Head Avatar Generation for Natural Conversation
Model of the Month: chatterbox-turbo
Chatterbox-turbo is a 350 million parameter text-to-speech model designed to deliver fast and efficient performance while maintaining high audio quality. The model achieves an optimal balance between computational speed and output fidelity, making it suitable for applications requiring real-time speech synthesis without sacrificing voice naturalness.
Nous Research's NousCoder-14B is an open-source coding model landing right in the Claude Code moment
Nous Research released NousCoder-14B, an open-source coding model that matches or exceeds larger proprietary systems despite being trained in just four days using 48 Nvidia B200 GPUs. The model arrives as competition intensifies in the AI coding space, particularly against Claude's code capabilities. This demonstrates that efficient training methods can produce competitive coding models at a fraction of the typical resource requirements.
The creator of Claude Code just revealed his workflow, and developers are losing their minds
Boris Cherny, creator of Claude Code at Anthropic, shared his workflow on X, sparking intense discussion throughout the engineering community. The revelation of his development process has generated significant interest and analysis among developers who are eager to understand how one of the world's most advanced coding agents works.
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