Thursday, February 19

Tag: Reddit

Machine learning algorithm fully reconstructs LHC particle collisions
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Machine learning algorithm fully reconstructs LHC particle collisions

"Machine learning can be used to fully reconstruct particle collisions at the LHC [Large Hadron Collider]. This new approach can reconstruct collisions more quickly and precisely than traditional methods, helping physicists better understand LHC data. [...] Each proton–proton collision at the LHC sprays out a complex pattern of particles that must be carefully reconstructed to allow physicists to study what really happened. For more than a decade, CMS has used a particle-flow (PF) algorithm, which combines information from the experiment's different detectors, to identify each particle produced in a collision. Although this method works remarkably well, it relies on a long chain of hand-crafted rules designed by physicists. The new CMS machine-learning-based particle-flow (MLPF) alg...
I found Claude for Government buried in the Claude Desktop binary. Here’s what Anthropic built, how it got deployed, and the line they’re still holding against the Pentagon.
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I found Claude for Government buried in the Claude Desktop binary. Here’s what Anthropic built, how it got deployed, and the line they’re still holding against the Pentagon.

https://aaddrick.com/blog/claude-for-government-the-last-lab-standing I maintain claude-desktop-debian on GitHub, so I had a full archive of builds to compare against. Claude for Government showed up on Anthropic's status tracker February 17th. I pulled the binary from the same day and confirmed the implementation in code. The whole gov mode gates on a single enterprise config key. Set customDeploymentUrl to claude.fedstart.com and the app reroutes everything: traffic, auth, telemetry, network egress. Palantir's FedStart platform handles the accreditation layer. Eight prior releases had zero trace of this code. It all landed in one build. There's also a $1 GSA OneGov deal that gives all three branches of government a year of access, and Sonnet 4.6 shipped the same day with a 1 million toke...
The gap between AI demos and enterprise usage is wider than most people think
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The gap between AI demos and enterprise usage is wider than most people think

I work on AI deployment inside my company, and the gap between what AI looks like in a polished demo… and what actually happens in real life? I think about that a lot. Here’s what I keep running into. First, the tool access issue. Companies roll out M365 Copilot licenses across the organization and call it “AI adoption.” But nobody explains what people should actually use it for. It’s like handing everyone a Swiss Army knife and then wondering why they only ever use the blade. Without use cases, it just becomes an expensive icon in the ribbon. Then there’s the trust gap. You’ve got senior engineers and specialists with 20+ years of experience. They’ve built careers on judgment and precision. Of course they don’t blindly trust AI output and for safety-critical or compliance-heavy work, they...
Elon Musk Firms Enter Secret Pentagon Challenge for Voice-Based Drone Swarming Tech
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Elon Musk Firms Enter Secret Pentagon Challenge for Voice-Based Drone Swarming Tech

"Elon Musk’s SpaceX and its subsidiary xAI are joining a secretive US Department of Defense competition centered on a voice command and control tool that could deploy multiple autonomous systems. The project, launched in January with a $100-million budget and a six-month timeline, requires software that could coordinate unmanned swarming operations across the air and at sea, according to Bloomberg. The Pentagon’s Defense Innovation Unit and its new Defense Autonomous Warfare Group under the US Special Operations Command are overseeing the competition. The contest will unfold in phases, starting with software development before advancing to live trials. SpaceX and xAI’s participation marks an expansion of Musk’s defense work into artificial intelligence-enabled weapons software, as th...
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