Our system did one thing, and it did it well: It turned natural-language questions into API calls.The users were analysts, account managers, and operations leads. They knew what data they needed, but assembling it manually meant pulling from four dashboards, two BI tools, and a Salesforce report builder. With our system, they typed the request in plain English. A request like "Compile a report on sales volume for January through... Read more ›
0
With rumors about a GPT-native browser, search is shifting from finding information to fulfilling tasks. No more links, no more scrolling. Read more ›
63
Blaming users that run Claude Code 24/7, Anthropic instituted weekly rate limits for some Claude users resulting in backlash on social media. Read more ›
1
AI infrastructure startup E2B secures $21 million funding with 88% Fortune 100 adoption rate, powering secure AI agent deployments at scale. Read more ›
32
What happens if the AI migration accelerates and sizable portions of the workforce are slow to move out of fear, resistance or inability? Read more ›
27
The question isn’t, “will you use AI?” The question is, “what kind of AI user do you want to be: driver or passenger?” Read more ›
12
The move underscores Meta’s strategy of spending aggressively now to secure a dominant position in what it views as the next foundational technology platform. Read more ›
0
Hierarchical Reasoning Models (HRM) tackle complex reasoning tasks while being smaller, faster, and more data-efficient than large AI models. Read more ›
54
Researchers at the University of Pennsylvania and the Allen Institute for Artificial Intelligence have developed a groundbreaking tool that allows open-source AI systems to match or surpass the visual understanding capabilities of proprietary models like GPT-4V and Gemini 1.5 Flash, potentially reshaping the competitive landscape between open and closed AI development. The tool, called CoSyn […] Read more ›
53
The new Qwen3-Thinking-2507, as we'll call it for short, now leads or closely trails top-performing models across several major benchmarks. Read more ›
37
Anthropic developed its auditing agents while testing Claude Opus 4 for alignment issues. Read more ›
42
Rather than chase enterprise contracts with large hospital systems, Freed has focused on small clinics and solo practitioners. Read more ›
0
Enterprises will not see immediate impact from the AI Action Plan, but it signals wider support for open-source models and evaluations. Read more ›
26
The Kathmandu center of excellence gives SecurityPal a cost base low enough to keep humans in the loop while staying price-competitive. Read more ›
0
Developers can define custom tools and let Qwen3-Coder dynamically invoke them during conversation or code generation tasks. Read more ›
0
Former Anthropic executive raises $15M to launch AI insurance startup, helping enterprises safely deploy artificial intelligence agents through standards and liability coverage. Read more ›
0
Mixture-of-Recursions (MoR) is a new AI architecture that promises to cut LLM inference costs and memory use without sacrificing performance. Read more ›
50
Anthropic research reveals AI models perform worse with extended reasoning time, challenging industry assumptions about test-time compute scaling in enterprise deployments. Read more ›
68
Intuit explains how it is solving the needs of the mid-market with a new series of agentic AI experiences. Read more ›
25
Researchers from Salesforce unveiled MCPEval, a new method to evaluate AI agent performance and tool use within MCP servers. Read more ›
32
Teams can scale Qwen3’s capabilities to single-node GPU instances or local development machines, avoiding the need for massive GPU clusters. Read more ›
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13.06.2026 23:46
Last update: 23:36 EDT.
News rating updated: 06:40.
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