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Enterprise teams building multi-agent AI systems may be paying a compute premium for gains that don't hold up under equal-budget conditions. New Stanford University research finds that single-agent systems match or outperform multi-agent architectures on complex reasoning tasks when both are given the same thinking token budget.However, multi-agent systems come with the added baggage of computational overhead. Because they typically use longer reasoning traces and multiple interactions, it is often unclear.
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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 âș
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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 âș
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Tesla CEO Elon Musk said he expects production for Optimus, the humanoid robot, to start around late July or August. Read more âș
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OpenAIâs latest image generator has thinking capabilities. ChatGPT Images 2.0 arrives one year after version 1.0, and it promises expertly curated end-to-end automation for visual tasks. Images 2.0 has the ability to research and synthesize information from the web into detailed âproduction-levelâ visuals. GPT Images 2.0 generated content OpenAI is positioning Images 2.0 as a full replacement for dedicated image editing apps, too, as it can remove backgrounds, transform aspect... Read more âș
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The mystery of what kind of CEO John Ternus will be for Apple may already have been solved by his own words. Read more âș
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Also, Musk owns up to a broken promise and vows to spend an unbelievably large amount of money to make up for it. Read more âș
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Elon Musk reveals details about TeraFab: Intel provides technology, Tesla builds pilot line, SpaceX constructs high-volume fab. Read more âș
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But you may soon be able to take it in for an upgrade at something called a "mini-factory." Read more âș
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Scientists at UC Irvine have found a way to potentially reverse age-related vision loss by targeting the ELOVL2 âaging geneâ and restoring vital fatty acids in the retina. Their experiments in mice show that supplementing with specific polyunsaturated fatty acidsânot just DHAâcan restore visual function and even reverse cellular aging signs. Read more âș
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People tend to look at tires' ride quality and how they wear, but tires also contribute a lot to gas mileage. What are some good fuel-efficient tire options? Read more âș
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Elon Musk delayed the new Tesla Roadster release yet again, saying it could be coming "in a month or so." Read more âș
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AI startup STCH has raised $7 Mn (about âč66 Cr) in its Pre-Series A funding round led by Omnivore, along⊠Read more âș
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Buyers are in a race to secure a dwindling supply of shares in Anthropic, driving the AI company's valuation on some platforms to $1 trillion. Read more âș
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Google surprised us a bit this afternoon with the release of Android 17 QPR1 Beta 1 for its Pixel line-up. This update will come after the first stable build of Android 17 is released, which should happen soon now that we have received the final beta of that. For those not up-to-date on what the... Read the original post: Google Releases Android 17 QPR1 Beta 1 for Pixel Read more âș
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The company behind Dungeons & Dragons has its official answer to Critical Role in its new show Dungeon Masters, which airs weekly on YouTube. Read more âș
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The proposed class action lawsuit says the company stands to benefit twice from the now-voided import duties. Read more âș
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The OnePlus Ace 6 Ultra will be unveiled on April 28 (thatâs Tuesday next week). Last week, the company posted details on the Ace Awakening design, which features the word âAceâ etched on the back of the device in a way that creates a 3D effect. Now OnePlus has revealed another look for the Ace 6 Ultra called âMetal Stormâ. Itâs a combination of a metal frame with a matte... Read more âș
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Renewable energy overtakes coal as the main source of the world's electricity generation, as thinktank sees a 'shift in the underlying dynamics of the power system'. Read more âș
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VentureBeat
Presented by Retool The logic used to be: buying software is cheaper, faster, and safer for most use cases. Building was reserved for companies with large engineering teams, deep pockets, and problems so specific that no vendor could address them. But now, the cost to code a piece of software has dropped to zero. Anyone can build their own software now, but enterprise and governance models have yet to catch... Read more âș
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Anthropic is publicly releasing its most powerful large language model yet, Claude Opus 4.7, today â as it continues to keep an even more powerful successor, Mythos, restricted to a small number of external enterprise partners for cybersecurity testing and patching vulnerabilities in the software said enterprises use (which Mythos exposed rapidly).The big headlines are that Opus 4.7 exceeds its most direct rivals â OpenAI's GPT-5.4, released in early March... Read more âș
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Confirming it has reached 3 million weekly developers, OpenAI is massively updating its Codex developer environment via its Mac and Windows desktop apps today to bring it closer to the âSuper Appâ the company has confirmed it is pursuing.Before today, Codex was primarily an environment for using OpenAIâs underlying language models to write, edit, debug and ship software as directed by the user. Now, Codex will be able to access... Read more âș
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The journey from a laboratory hypothesis to a pharmacy shelf is one of the most grueling marathons in modern industry, typically spanning 10 to 15 years and billions of dollars in investment. Progress is often stymied not just by the inherent mysteries of biology, but by the "fragmented and difficult to scale" workflows that force researchers to manually pivot between the actual experimental design equipment, software, and databases.But OpenAI is... Read more âș
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Enterprise AI is entering a new phase â one where the central question is no longer what can be built, but how to make the most of our AI investment.At VentureBeatâs latest AI Impact Tour session, Brian Gracely, director of portfolio strategy at Red Hat, described the operational reality inside large organizations: AI sprawl, rising inference costs, and limited visibility into what those investments are actually returning.Itâs the âDay 2â... Read more âș
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Salesforce on Wednesday unveiled the most ambitious architectural transformation in its 27-year history, introducing "Headless 360" â a sweeping initiative that exposes every capability in its platform as an API, MCP tool, or CLI command so AI agents can operate the entire system without ever opening a browser.The announcement, made at the company's annual TDX developer conference in San Francisco, ships more than 100 new tools and skills immediately available... Read more âș
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For the past year, early adopters of autonomous AI agents have been forced to play a murky game of chance: keep the agent in a useless sandbox or give it the keys to the kingdom and hope it doesn't hallucinate a catastrophic "delete all" command.To unlock the true utility of an agentâscheduling meetings, triaging emails, or managing cloud infrastructureâusers have had to grant these models raw API keys and broad... Read more âș
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Anthropic today launched Claude Design, a new product from its Anthropic Labs division that allows users to create polished visual work â designs, interactive prototypes, slide decks, one-pagers, and marketing collateral â through conversational prompts and fine-grained editing controls. The release, available immediately in research preview to all paid Claude subscribers, is the company's most aggressive expansion beyond its core language model business and into the application layer that has... Read more âș
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A rogue AI agent at Meta passed every identity check and still exposed sensitive data to unauthorized employees in March. Two weeks later, Mercor, a $10 billion AI startup, confirmed a supply-chain breach through LiteLLM. Both are traced to the same structural gap. Monitoring without enforcement, enforcement without isolation. A VentureBeat three-wave survey of 108 qualified enterprises found that the gap is not an edge case. It is the most... Read more âș
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The standard guidelines for building large language models (LLMs) optimize only for training costs and ignore inference costs. This poses a challenge for real-world applications that use inference-time scaling techniques to increase the accuracy of model responses, such as drawing multiple reasoning samples from a model at deployment.To bridge this gap, researchers at University of Wisconsin-Madison and Stanford University have introduced Train-to-Test (T2) scaling laws, a framework that jointly optimizes... Read more âș
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22.04.2026 21:59
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