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One of the key challenges of building effective AI agents is teaching them to choose between using external tools or relying on their internal knowledge. But large language models are often trained to blindly invoke tools, which causes latency bottlenecks, unnecessary API costs, and degraded reasoning caused by environmental noise. To overcome this challenge, researchers at Alibaba introduced Hierarchical Decoupled Policy Optimization (HDPO), a reinforcement learning framework that trains agents to balance.
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VentureBeat
An East Bay apartment complex has been bought at a price that's well below its prior value. Read more ›
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A PG&E Corp. unit has bought a San Jose building in a move to bolster the utility's South Bay operations. Read more ›
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AI startups are running into two problems at once: too much AI-generated code and not enough computing power to run it. Modal Labs is betting it can solve both. The New York-based AI infrastructure startup has raised $355 million in ... Read more ›
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The billionaire investor said he sold most of his bitcoin after concluding the cryptocurrency failed to act as a hedge during recent geopolitical turmoil and dollar weakness. Read more ›
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If your summer plans involve spending any time outdoors, whether on the trail or at a pool party, a good portable Bluetooth speaker can go a long way. The latest Sonos Roam is built precisely for those moments, and right now, it’s on sale at Amazon, Best Buy, and Walmart for $134 ($45 off) for […] Read more ›
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Во второй части мы рассмотрели аналитическое решение задачи линейной регрессии и наткнулись на ряд неприятностей — сингулярность, плохая обусловленность, вычислительная сложность и т.д.Логическим продолжением будет изучение (не побоюсь этого слова) сердца машинного обучения: градиентного спуска. Читать далее Read more ›
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Shania Twain has made daring fashion her signature. She's rarely seen these days without a statement outfit, large accessories, or a bold hairstyle. Read more ›
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Spotify and Universal Music Group announced a deal that will let Premium subscribers use AI to create covers and remixes of their favourite songs. Read more ›
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Zendesk is shifting customer service to platform-agnostic AI agents, ensuring customers receive consistent, contextualized support across third-party apps like Gemini. Read more ›
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I've taken many solo trips in recent years. Here's what I've learned about maximizing my time and combating loneliness. Read more ›
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Premium Spotify users in the US might start getting a shot at reserved concert tickets. Read more ›
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Deep Silver and King Art Games have revealed that Warhammer 40,000: Dawn of War 4 will finally launch on September 17 for PC. Read more ›
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It could still ask for your government ID, but at least the calls are encrypted. Read more ›
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Waymo has paused service in Atlanta after one of its driverless cars entered a flooded street and got stuck. It follows a similar pause in San Antonio that prompted a recent software recall (PDF) over flood avoidance. TechCrunch reports: Waymo admitted that it hadn't finished developing a "final remedy" for avoiding flooded areas when it issued its software recall last week. Instead, the company said that it shipped an update... Read more ›
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We want to hear from you to find out who the must-know VCs backing social and consumer internet startups are — and where they're placing bets. Read more ›
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VentureBeat
A code migration agent finishes its run, and the pipeline looks green. But several pieces were never compiled — and it took days to catch. That's not a model failure; that's an agent deciding it was done before it actually was.Many enterprises are now seeing that production AI agent pipelines fail not because of the models’ abilities but because the model behind the agent decides to stop. Several methods to... Read more ›
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Anthony Grieco, Cisco’s SVP and chief security and trust officer, did not hesitate when VentureBeat asked whether rogue agent incidents are reaching Cisco’s customer base."A hundred percent. We see them regularly," Grieco told VentureBeat in an exclusive interview at RSAC 2026. "I've heard some that I can't repeat, but they do get to the places of, you know, agents are doing things that they think are the right things to... Read more ›
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Cerebras Systems, the Silicon Valley chipmaker that built the world's largest commercial AI processor, erupted onto the Nasdaq on Wednesday, opening at $350 per share — nearly double its $185 IPO price — and rocketing past a $100 billion market capitalization in its first hours of trading. The debut instantly crowned Cerebras as one of the most valuable semiconductor companies on Earth and validated a decade-long bet that the AI... Read more ›
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Observability startup Raindrop AI’s new open source, MIT Licensed "Workshop" tool, launched today, gives developers something that they've likely wanted, perhaps subconsciously, since the agentic AI era kicked off in earnest last year: a local debugger and evaluation tool specifically designed for AI agents, allowing devs to see all the traces of what their agent has been doing in a single, lightweight Structured Query Language (SQL) database file (.db)It functions... Read more ›
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New VB Pulse data shows Microsoft and OpenAI leading enterprise agent orchestration, but Anthropic’s first measurable foothold points to a larger fight over who controls the infrastructure where AI agents run.For the last two years, the enterprise AI race has mostly been framed as a model war: OpenAI’s GPT series versus Anthropic’s Claude versus Google’s Gemini, with smaller and open-source alternatives also coming in from the U.S. and China. But... Read more ›
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One of the key challenges of current multi-agent AI systems is that they communicate by generating and sharing text sequences, which introduces latency, drives up token costs, and makes it difficult to train the entire system as a cohesive unit. To overcome this challenge, researchers at University of Illinois Urbana-Champaign and Stanford University developed RecursiveMAS, a framework that enables agents to collaborate and transmit information through embedding space instead of... Read more ›
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The company formerly known as Intercom just did something that no major customer service platform has attempted at scale: it built an AI agent whose sole job is to manage another AI agent.Fin Operator, announced Thursday at a live event in San Francisco, is a new AI-powered system designed specifically for the back-office teams that configure, monitor, and improve Fin, the company's customer-facing AI agent. Rather than replacing human support... Read more ›
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For AI systems to keep improving in knowledge work, they need either a reliable mechanism for autonomous self-improvement or human evaluators capable of catching errors and generating high-quality feedback. The industry has invested enormously in the first. It's giving almost no thought to what's happening to the second.I’d argue that we need to treat the human evaluation problem with just as much rigor and investment as we put into building... Read more ›
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Retrieval-augmented generation (RAG) has become the de facto standard for grounding large language models (LLMs) in private data. The standard architecture — chunking documents, embedding them into a vector database, and retrieving top-k results via cosine similarity — is effective for unstructured semantic search.However, for enterprise domains characterized by highly interconnected data (supply chain, financial compliance, fraud detection), vector-only RAG often fails. It captures similarity but misses st Read more ›
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Enterprises building and deploying agents have a problem: it’s taking their engineers too long to find out that an agent made a mistake, and the loop has continued to perpetuate, especially without a human at every step. LangSmith, the monitoring and evaluation platform from LangChain, launched a new capability in public beta that could make that issue more manageable. LangSmith Engine automates the entire chain by detecting production failures, diagnosing... Read more ›
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21.05.2026 13:57
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