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MIT researchers have developed a training method called RLCR that penalizes large language models when they are confidently wrong, tackling a standard reinforcement learning flaw that rewards lucky guesses as heavily as careful reasoning. Read the full article to learn how calibrated honesty could replace overconfident bluster in AI reasoning: https://buff.ly/gUVd9zx #LLM #AIResearch #MachineLearning

For years, AI in networking has been a passive observer capable of surfacing problems but never trusted to touch the controls. Aviz Networks is looking to change that with their AI NOC and Network Copilot. Find out how this agentic model moves from identifying problems to safely fixing them, while keeping the engineer firmly in the loop: https://buff.ly/CxWkrAg #AgenticAI #NetworkAutomation #Tech

OpenAI is reportedly missing internal growth targets as the cost of building the future reaches a breaking point. With ChatGPT stalled below 1B weekly users and rivals like Anthropic & Google surging, the path to an IPO looks more complex than ever. Read the full story 👉 https://buff.ly/gwdTK1H #OpenAI #ChatGPT #TechNews #SiliconValley #AI

Qlik extends its analytics and data integration platform to make it safer to rely on AI agents to automate workflows. Find out more 👉 https://buff.ly/6z6Ys1c #Qlik #AgenticAI #DataIntegration #Automation

OpenAI just traded exclusivity for the freedom to run on any cloud, ending a partnership model that once tethered the startup to Microsoft's infrastructure alone. The new deal allows OpenAI to push workloads to AWS and Google Cloud, a shift reinforced by a fresh $100 billion commitment to Amazon over the next eight years. Find out how the removal of that single-provider constraint changes the competitive dynamics between the industry's most powerful allies: https://buff.ly/UN3QMij #OpenAI #Microsoft #AIPartnerships

Google just pledged up to $40 billion to Anthropic, a massive bet that also reveals the circular logic now baked into AI funding: much of that capital will flow straight back into Google’s own cloud and TPU infrastructure. Get an idea of how this investment could reshape the competitive landscape and what it signals about the real gatekeepers of AI development: https://buff.ly/RemzJsJ #Anthropic #GoogleCloud #AIInvestment

The "autonomous work window" of AI systems, how long they can complete tasks alone, has been doubling roughly every 90 days since 2024, a curve that compresses what can be accomplished inside a fixed unit of time. Some organizations are already riding that compression, shortening cycles and piling iterations on top of each other, while others continue with quarterly planning and multi-layer approvals designed for a slower era. Read the full article to understand why two teams can operate under the same calendar but experience fundamentally different clocks: https://buff.ly/OI4GpCP #AI #Tech

What is the real cost of the trillion-dollar race to AI dominance? Big Tech is cutting tens of thousands of jobs while ramping up massive investments in AI infrastructure. The shift signals a deeper transformation in how companies balance human labor and machine-driven productivity. Read the full article to understand what this means for the future of work: https://buff.ly/VaqecvH #FutureOfWork #AIeconomy

The first top-tier model to launch natively on Huawei silicon just went live. DeepSeek-V4 arrives in two open-source variants, a 1.6-trillion-parameter Pro model and a leaner 284B Flash, both packing a million-token context window and native Ascend optimization. More on how this hardware independence play is rewiring the global AI supply chain and what it means for the next stage of the chip war: https://buff.ly/2sAP5Ca #DeepSeek #AIHardware #AI