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submitted by /u/esporx [link] [comments]

As many of you have likely seen, the Claude Code community newswire has been ablaze with Claude Code being quite degraded lately, starting in February, and continuing to this day. Curious to understand if there was any "signal" on the wire when using Claude Code, I fired up my old friend WireShark and a --tls-keylog environment flag. Call it a man-in-the-middle attack on my own traffic. The captured TLS network traffic reveals the system prompts, system variables, and various other bits of telemetry The interesting part? A signature routing block that binds the session to a cloud instance with an effort level parameter, named Numbat. Mine, specifically, was numbat-v7-efforts-15-20-40-ab-prod8 So, it would appear that the backend running my instance is tied to an efforts-15-20-40 leve...

submitted by /u/Goldenmentis [link] [comments]

Today energy is becoming the defining constraint in the AI revolution, as demand for more digital services and computing power grows, it takes an enormous amount of energy to sustain these data centers, in turn they emit a lot of heat. They produce so much heat that they can raise the surface temperature of the land around them by several degrees submitted by /u/crazyotaku_22 [link] [comments]

submitted by /u/preyneyv [link] [comments]

AMD’s AI director just analyzed 6,852 Claude Code sessions, 234,760 tool calls, and 17,871 thinking blocks. Her conclusion: “Claude cannot be trusted to perform complex engineering tasks.” Thinking depth dropped 67%. Code reads before edits fell from 6.6 to 2.0. The model started editing files it hadn’t even read. Stop-hook violations went from zero to 10 per day. Anthropic admitted they silently changed the default effort level from “high” to “medium” and introduced “adaptive thinking” that lets the model decide how much to reason. No announcement. No warning. When users shared transcripts, Anthropic’s own engineer confirmed the model was allocating ZERO thinking tokens on some turns. The turns with zero reasoning? Those were the ones hallucinating. AMD’s team has already switched to a...

We're in the DNS era of agent infrastructure. Before agents can find and trust each other at scale, you need identity, attestation, reputation, and registry infrastructure — the same structural role DNS played before search was possible. This came up independently from multiple directions. It's the most underbuilt layer in the stack right now. The chatbot framing is a local maximum. The most interesting work wasn't better UX or smarter responses. It was agents as persistent actors that discover, negotiate, and transact across networks over time. People doing serious work have already moved past the assistant model entirely. Coordination is the hard problem, not capability. A room full of brilliant agents can still fail badly. This matches what I found running HiddenBench against frontier m...

submitted by /u/Fcking_Chuck [link] [comments]

Six months ago I committed to using AI tools for everything I possibly could in my work. Every day, every task, every workflow. Here's the honest report as of April 2026. What's Genuinely Incredible First drafts of anything — AI eliminated the blank-page problem entirely. I don't dread starting anymore. Research synthesis — Feeding 10 articles into Claude Opus 4.6 and asking "what's the common thread?" gets me a better synthesis in 2 minutes than I could produce in an hour. Code for non-coders — I've built automation scripts, web scrapers, and a custom dashboard without knowing how to code. Cursor (powered by Claude) changed what "non-technical" means. The tool has 2M+ users now for good reason. Getting unstuck — Talking through a problem with an AI that can actually push back is underra...

How has Claude far surpassed the competitors? They were not first to market or ever had the most cash yet their feature are far and away the best on the market. submitted by /u/InternationalAsk9845 [link] [comments]