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Hand-picked stories worth reading right now1,760 articles found · page 8 of 18
SpaceXAI's newest AI model Grok 4.5 dramatically undercuts Anthropic and OpenAI on price
Elon Musk's SpaceXAI Corp. has released a new model called Grok 4.5, in what is its first major launch since it went public a few weeks earlier. In a blog post earlier today, the company said Grok 4.5 is designed to be a workhorse that can tackle all of the usual tasks that the artificial [...] The post SpaceXAI's newest AI model Grok 4.5 dramatically undercuts Anthropic and OpenAI on price appeared first on SiliconANGLE.
OpenAI launches GPT-Live voice model series ahead of broad GPT-5.6 release
OpenAI Group PBC today introduced GPT-Live, a family of artificial intelligence models optimized to process spoken instructions. The model series will power ChatGPT's voice mode. Additionally, OpenAI plans to make it available to developers via an application programming interface. GPT-Live includes two models on launch. GPT-Live-1, the more capable of the two, will be the [...] The post OpenAI launches GPT-Live voice model series ahead of broad GPT-5.6 release appeared first on SiliconANGLE.
Tensordyne targets AI inference market with logarithmic math and Juniper-derived rack architecture
The race to serve AI inference faster and cheaper is exposing the hard limits of conventional chip architecture. As demand for real-time AI responses accelerates, the industry's standard response - stacking more high-bandwidth memory onto power-hungry silicon - is running into a wall, and logarithmic math may be the foundational rethink that breaks through it. [...] The post Tensordyne targets AI inference market with logarithmic math and Juniper-derived rack architecture appeared first on SiliconANGLE.
Argentum targets the capital stack as the missing layer in AI infrastructure buildout
The AI infrastructure boom has trained the industry's attention on silicon and power, but a more fundamental constraint within the capital stack is quietly throttling the speed of global data center deployment. As demand for AI compute continues to outpace infrastructure availability, a growing number of data center developers are stalling not because they lack megawatts [...] The post Argentum targets the capital stack as the missing layer in AI infrastructure buildout appeared first on SiliconANGLE.
Inference chip startup SambaNova valued at $11B in $1B funding round
Chip startup SambaNova Inc. today announced that it has raised $1 billion in funding at a $11 billion valuation. General Atlantic led the Series F round with contributions from more than a dozen others. Intel Capital, Vista Equity Partners and JPMorgan Chase & Co. were among the participants. The investment follows a $350 million round [...] The post Inference chip startup SambaNova valued at $11B in $1B funding round appeared first on SiliconANGLE.
Solidigm targets the intelligence layer as agentic inference pushes storage to center stage
The shift from model training to agentic inference is forcing a fundamental rethink of how artificial intelligence infrastructure is built and which components carry the most strategic weight. What was once treated as commodity plumbing is now being recognized as the intelligence layer where raw data becomes actionable intelligence. The rise of sovereign AI deployments [...] The post Solidigm targets the intelligence layer as agentic inference pushes storage to center stage appeared first on SiliconANGLE.
10 insights from the Machina AI Summit: Physical AI moves from demos to deployment
Physical AI and robotics are moving beyond impressive demonstrations into a new phase of practical deployment, with companies now targeting specific, high-value use cases in manufacturing and logistics - production-ready systems capable of delivering measurable ROI. After years of research breakthroughs and impressive demonstrations, the focus for physical AI has shifted to real-world data, functional [...] The post 10 insights from the Machina AI Summit: Physical AI moves from demos to deployment appeared first on SiliconANGLE.
Introducing Claude apps gateway for AWS
Today, we're announcing the Claude apps gateway for AWS, a self-hosted control plane that gives organizations a single point of control over access, cost, and policy for Claude Code and Claude Desktop. In this post, we show how to set up and run Claude apps gateway for AWS with Amazon Bedrock and Claude Platform on AWS.
Building and connecting a production-ready ecommerce MCP server using Amazon Bedrock AgentCore and Mistral AI Studio
In this post, you build and connect that server end to end. You will implement MCP tools, set up two-layer JSON Web Token (JWT) authentication, deploy with AWS Cloud Development Kit (AWS CDK), and connect the result to Mistral AI's Vibe. The post also covers prerequisites, solution architecture, best practices for MCP servers and Vibe connectors, and resource cleanup. The ecommerce server that you build supports product search, order placement, review submission, and returns processing using Amazon DynamoDB for data and Amazon Cognito for identity management.
Exclusive: EdVisorly Raises $13.3M Series A To Fix The Messy College Transfer Process With AI
Los Angeles-based startup EdVisorly tells Crunchbase News exclusively that it has secured a $13.3 million Series A funding round to scale its AI-native platform, which automates the manual back-office workflows that can slow down university admissions.
Securing Amazon Bedrock AgentCore Runtime with AWS WAF
This post shows you two architecture patterns that address this problem. Both use an internet-facing ALB with AWS WAF and route traffic through a VPC Interface Endpoint to AgentCore Runtime. Pattern 1 places an AWS Lambda proxy between the ALB and the VPC Endpoint, giving you full control over request transformation. Pattern 2 targets the VPC Endpoint ENI IP addresses directly from the ALB, removing the Lambda hop entirely. You also learn how to close the direct-access backdoor with a resource policy so that traffic flows through AWS WAF only. Both patterns have been tested end-to-end with Sig
Salesforce enhances Slackbot with connectors to the entire platform ecosystem
Salesforce Inc. today announced new updates for Slackbot, the company's personal artificial intelligence agent in Slack, giving it full access to every part of the Salesforce ecosystem. "Slackbot can now reason over your entire Salesforce platform, so anything you can do in Salesforce, you can simply now do through Slackbot, just by asking," Slack Chief [...] The post Salesforce enhances Slackbot with connectors to the entire platform ecosystem appeared first on SiliconANGLE.
Refiant goes where rivals only promised with a 10 million-token AI model
Artificial intelligence optimization startup Refiant Inc. today launched Protea, a suite of long-context AI models led by a 10 million-token context window that the company says ranks among the largest ever made publicly available. Context windows determine how much information a model can hold in working memory at once. Most leading models handle no more [...] The post Refiant goes where rivals only promised with a 10 million-token AI model appeared first on SiliconANGLE.
DeepFabric ships more than 50 AI agents for supply chain operations
Supply chain artificial intelligence startup DeepFabric today announced the general availability of an AI agent platform built for supply chain execution, and a roster of enterprise customers is already running it in production. The company's platform drops specialized agents into a business' operational workflows to recover margin, cut operating costs and speed up customer response. [...] The post DeepFabric ships more than 50 AI agents for supply chain operations appeared first on SiliconANGLE.
Ex-GitHub chief's Entire opens distributed Git network for the AI agent era
Entire Inc., the developer-platform startup founded by former GitHub Chief Executive Thomas Dohmke, today launched a preview of a distributed Git network built to let artificial intelligence coding agents clone and push code without running into the rate limits of centralized hosting. The preview is open by waitlist, with active regions in the U.S., European [...] The post Ex-GitHub chief's Entire opens distributed Git network for the AI agent era appeared first on SiliconANGLE.
Superhuman launches Docs, merging writing, AI and data for document collaboration
Superhuman Inc., the company formerly known as Grammarly, today announced the launch of Docs, a product that enables multiple users to collaborate on writing using artificial intelligence. Docs contains a full suite of tools that work together to enable AI-driven collaboration. It allows users to turn simple prompts into full drafts, but it doesn't stop [...] The post Superhuman launches Docs, merging writing, AI and data for document collaboration appeared first on SiliconANGLE.
Kaon AI raises $60M to build the next generation of AI-driven interactive entertainment
Kaon AI, a generative artificial intelligence platform and research outfit formerly known as FlowGPT that provides online interactive entertainment, today announced it has raised $60 million across recent funding rounds. The San Mateo company is backed by numerous technology sector venture capital investors, including B Capital, Redpoint Ace, Goodwater Capital and DCM. Today's announcement follows [...] The post Kaon AI raises $60M to build the next generation of AI-driven interactive entertainment appeared first on SiliconANGLE.
Familiar Names Top Active US Investor Ranks In Q2
To get an expanded sense of how busy startup backers spent Q2, we put together several rankings for active investors. These include active venture backers, lead investors, highest spenders and prolific seed dealmakers.
Your SaaS Metrics Are A Result, Not A Strategy
SaaS metrics like LTV/CAC, NRR, GRR, ARR growth, and the Rule of 40 are valuable indicators of business performance, writes guest author Itay Sagie, but leaders and boards should look beyond the numbers to understand the underlying drivers to assess the company's long-term health and competitive strength.
AI Models Overthink Problems-and It's a Security Risk
Large language models (LLMs) that can think through problems step-by-step have significantly increased the scope of tasks that AI can tackle. But new research suggests these reasoning capabilities also introduce a critical vulnerability that could allow attackers to slow these systems to a crawl. While earlier generations of LLMs would immediately produce a response to a user's request, today's most advanced models generate an internal monologue where they break down the problem into steps and reason about the best way to tackle it before providing an answer. This has allowed AI to tackle incr
Meet the startup digitising battlefield medicine
Meet the startup digitising battlefield medicine The AO is combining wearable sensors, digital patient records and frontline data to improve casualty evacuation in Ukraine and beyond. Drone warfare ha...
Data modeling best practices for Amazon Quick Sight multi-dataset relationships
Today, we are excited to announce Multi-Dataset Relationships in Amazon Quick Sight. This new capability lets you define logical relationships between Quick Sight datasets and perform runtime joins at query time. Instead of flattening tables ahead of time, you keep each table as its own Quick Sight dataset and declare how those datasets relate to one another inside a Quick Sight Topic.
Build a serverless image editing agent with Amazon Bedrock AgentCore harness
This post walks through building a serverless image editor where users upload a photo, describe an edit in plain English, and receive the result in seconds. The agent runs on AgentCore harness without custom orchestration code. We deploy the full solution, including authentication, encrypted storage, three image editing tools, and a React frontend, with a single deployment command. The infrastructure is defined using AWS Cloud Development Kit (AWS CDK).
Monitoring discriminative ML models using Amazon SageMaker AI with MLflow
Implementing a data and model monitoring solution is necessary to maintain prediction accuracy and help achieve the best outcome for your machine learning use case. This post shows how you can use open source Evidently together with Amazon SageMaker AI to generate monitoring reports, organize and compare the results in MLflow, scale through pipelines, and trigger drift notifications.
Build an AI-powered AWS support companion with Amazon Bedrock AgentCore
In this post, you build an AWS Support Companion using Amazon Bedrock AgentCore. The agent uses Strands Agents as the orchestration framework and connects to AWS services through the Model Context Protocol (MCP). By the end, you have a working agent that can analyze CloudWatch logs, search AWS documentation, query community knowledge from AWS re:Post, and create support cases, all from a single conversational interface. The solution deploys with a single script using AWS CloudFormation and includes a web frontend built on AWS Amplify for interacting with the agent.
Report: 83% of organizations need to upgrade their infrastructure to support agentic AI
For years, enterprise AI has been synonymous with conversational AI - the customer service bots and digital assistants we interact with every day. But today, the market has shifted. We've officially moved from moving from AI that answers through simple chats, to AI that takes action, automated workflows, and executes complex tasks on its own. While this unlocks entirely new use cases, there's a catch: it places significant stress on the underlying infrastructure we've relied on in the past. We recently surveyed more than 1,400 senior IT leaders for our State of AI Infrastructure report, and a
A developer's guide to publishing agents in Gemini Enterprise and Google Cloud Marketplace
Software-as-a-service (SaaS) is evolving into Agents-as-a-service (AaaS). Instead of isolated applications, developers are creating AI agents that interoperate using standardized open protocols such as the Agent2Agent (A2A) protocol and can be orchestrated through centralized agent platforms like Gemini Enterprise Agent Platform. When building for your specific use case, we believe the goal should always be to engineer high-quality agents that combine autonomy with the ability to reliably execute complex, multi-step workflows that deliver clear business value. For agent builders and developers
Drive proactive security, prioritize risks with Google Threat Intelligence and Wiz ASM
Being more proactive continues to be a leading goal for security organizations. As AI accelerates the pace of vulnerability discovery and exploitation, organizations will rely on the personalization of their security investments to help prioritize their defenses. To help you be more proactive by matching your real-world exposures with real-time adversary activity, we've begun integration efforts between Google Threat Intelligence and Wiz Attack Surface Management (ASM). By connecting exposure and validated exploitable risks directly to real-time threat intelligence, we can help you detect and
AI Innovators Adopt NVIDIA Vera - Why Max Single-Threaded CPU at Scale Matters
Max single-threaded CPUs at scale are a new category of CPUs built for the agentic AI era. Across the creation and deployment of an agentic system, the CPU is on the critical path for reasoning, response time and learning. CPUs are the processor which executes the work the AI model commands: the tool calling, code [...]
What Makes AI Art Worth Collecting?
In May, an anonymous artist who goes by SHL0MS on X posted that he had used AI to generate an image inspired by Claude Monet and asked people to weigh in on how it missed the mark. More than 600 responses called out issues, saying the colors were off, the depth was all wrong, and that AI didn't understand how light worked. SHL0MS then revealed that the image was of a real Monet, one of around 250 variations of water lilies the artist had painted in his lifetime. He had simply downloaded a high-resolution image from Wikimedia and cropped out the signature. He minted the exchange as an NFT (a un
The foundational elements of AI architecture that IT leaders need to scale
With the rapid progress of AI capabilities and the move to agentic systems, organizations are expanding their use cases as the technology continues to grow. That constant evolution also introduces risk, leaving IT leaders to wonder which investments will prove valuable even six months into the future. Returning to the foundational elements of AI architecture-the...
North American Startup Funding Shattered Records In First Half Of 2026, Driven By AI
Overall, investment in U.S. and Canadian startups totaled a staggering $392 billion for the first half of 2026, per Crunchbase data, dwarfing anything we've seen before.
AI Security Monitoring: Risks, Detection, and Automated Response
Learn how AI security monitoring works from both sides. Discover the unique AI risks and the strategies engineers use to automate detection and response.
Fix Agent Failures With Context Engineering for LLMs
Context engineering for LLMs goes beyond prompt design. Learn how to manage context rot, budget tokens, and build reliable production AI agents with n8n.
AI Agent Memory: Types, Storage, and How To Implement It
Learn how AI agent memory works, from in-context buffers to vector stores. Discover how to build persistent memory into real-world agent workflows at scale.
Intelligence is Free, Now What? Data Systems for, of, and by Agents
... government of the people, by the people, for the people ... The cost of AI is dropping rapidly. GPT-4-class capabilities cost roughly $30 per million tokens in early 2023; today the same runs under $1, and some providers are pushing costs below $0.10. Across benchmarks, inference prices have fallen between 9x and 900x per year, with a median decline near 50x. Even frontier models are getting dramatically cheaper each generation, with open-source models following closely behind. And crucially, even if "Nobel-Prize-winning genius-level" intelligence isn't here yet, the intelligence that suff
Why cash on delivery still works in Europe [Sponsored]
In a market that has spent a decade moving to cards, digital wallets and one-click checkout, cash on delivery can look like a relic. The customer pays the courier at the door, only once the parcel is ...