Latest in Artificial Intelligence
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Gumloop reels in $50M for its AI automation platform
Gumloop, an AI automation platform that allows non-technical workers to build AI agents, has secured $50 million in Series B funding led by Benchmark, with participation from Shopify Ventures and Y Combinator. The funding will support the company's mission to democratize AI automation for business users without coding expertise.
AWS will bring Cerebras’ wafer-size WSE-3 chip to its cloud platform
AWS and Cerebras Systems have partnered to offer Cerebras' WSE-3 wafer-size AI chip to AWS customers through its cloud platform. The multiyear collaboration will also involve developing a disaggregated architecture designed to improve AI inference capabilities.
What to expect during Chainguard Assemble: Join theCUBE on March 19
Chainguard Assemble is an upcoming event on March 19 addressing the growing importance of software supply chain security as enterprises accelerate cloud-native and AI development. The event tackles the critical balance between shipping software quickly and managing vulnerabilities in open-source components, which has become a boardroom-level priority for organizations.
The 6G horizon: Can AI finally solve the telco monetization paradox?
At MWC Barcelona, industry discussions have shifted focus from 5G maturation to the development pathway toward 6G, with artificial intelligence emerging as a central theme. The conversation centers on whether AI can help telecommunications companies solve the long-standing challenge of monetizing network investments effectively.
Twenty years after pioneering the cloud, Amazon Web Services chases the next big prize: AI
Amazon Web Services, which pioneered cloud computing with its S3 storage service 20 years ago, is now shifting its focus toward artificial intelligence as the next major growth opportunity. The company is leveraging its established cloud infrastructure and expertise to position itself as a leader in the AI market, following its success in transforming enterprise computing through cloud services.
AI startups’ funding frenzy, where AWS goes next, and what’s coming at Nvidia’s GTC event
AI startups experienced explosive funding activity this week, with major billion-dollar-plus rounds secured by ventures led by Yann Lecun and Mira Murati, alongside numerous multi-hundred-million dollar investments in vertical-focused startups and AI tools. The funding frenzy reflects continued investor enthusiasm for the AI sector across multiple categories of companies.
Verifiable AI startup Axiom raises $200M to prove AI-generated code is safe to use
Axiom Quant Inc., a verifiable AI startup, raised $200 million in Series A funding to develop solutions that ensure AI-generated code is safe, secure, and accurate. The funding round valued the company at $1.6 billion as it addresses growing concerns about the reliability of code produced by AI systems.
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.
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