In times when people believe that "AI can code a website in 2 days" (see: how to leverage AI as a...

Apple Intelligence, Copilot, Gemini. It feels like we're heading toward one AI layer underneath everything rather than 5 different subscriptions. do standalone AI tools actually survive that or do they just get absorbed and bundled into bigger more powerful systems? like does having everything in one place make AI more effective or does it just make it more generic? submitted by /u/aiprotivity_ [link] [留言]

submitted by /u/superdouradas [link] [留言]

“Why the system feels rigid, why downstream fixes didn’t move the needle, and what actually matters.” This is the clearest picture after the full probe arc (multilayer-lock → gate decomposition → attractor migration → reconstruction ablation → generator diversity audit → live-generator Fix 2 evaluation + dim sweeps). TL;DR: The generator is the root bottleneck (dominant common-mode + low effective rank). The reflective loop is a rank-independent moat that reconstitutes everything back toward the anchor. Fix 2 is downstream and currently dormant on real token regimes. Dimensionality is not the lever. Train the generator so regime differences live in high-energy, separable directions — then downstream tools will actually have something to work with. This update reflects the complete probe arc through June 9 (including the live-generator Fix 2 evaluation and dim sweeps). The picture has sharpened: the reflective loop is a real moat, but it is moating low-rank common-mode input . The generator is the upstream constraint. Key numbers at a glance Regime means collinear: ~0.85–0.96 even at dim 512 Reflective loop migration (even on orthogonal deterministic pairs): +0.001–0.007 Fix 2 on real tokens (common-mode trigger): +0.024 migration, 0% manip at gain 0.6 Safe plasticity band: gain ≈ 0.4–0.8 (0% manip) 1. The generator has a dominant common-mode (effective rank ~1.6–3 even at dim 512) The generator puts the vast majority of its energy into a single shared direction. Regime means stay collinear (~0.85–0.96 cosine) regardless of dimension. Orthogonal pairs can appear at higher dim, but orthogonal regimes (as distributions) do not — the common-mode pulls everything back onto the same axis. Result: real token novelty is tiny and low-energy (mostly in a faint perpendicular component). The system is never shown meaningful structural differences to adapt to. 2. The reflective loop is a rank-independent moat Even when genuinely orthogonal deterministic pairs are presented (dim

I got some time to kill and honestly I'm just itching to solve a problem nobody gives a shit about cause there is no real money in it. IE social impact rather than financial , maybe something that helps charity and non profits, or a hobby that wishes it had a tool to make life easier but wouldn't actually pay for, etc etc submitted by /u/AssistanceAshamed609 [link] [留言]

Snap one photo, get listing-ready shots from every angle Discussion | Link

https://www.youtube.com/watch?v=K5LAFEjTlBA

This past decade saw the emergence of the acronym FAANG — Facebook (now Meta), Amazon, Apple, Netflix and Google (now Alphabet) — as shorthand for tech stocks that outperformed the market. But the tech landscape is on the brink of a major shift with the rise of a new AI-centric powerhouse group known as MANGOS: Meta, Anthropic, Nvidia, Google, OpenAI and SpaceX. The new acronym has quickly gone viral on social media, according to TechCrunch, which also notes that "FAANG is not exactly dead." submitted by /u/LinkedInNews [link] [留言]

Not a hypothetical. This is the default state of most autonomous agents running in production right now. An attacker doesn’t send one suspicious message. They have a conversation. Turn 1 looks like curiosity. Turn 3 looks like clarification. Turn 6 is the pivot. Turn 8 is the payload, and by then the agent has been so thoroughly primed that it executes without hesitation. No single message triggered anything. The attack lived in the trajectory. Every prompt injection defense I know of evaluates messages one at a time. They have no memory of what came before. By the time turn 8 arrives, the context has already been poisoned across 7 clean-looking turns and nothing fires. This isn’t a theoretical attack. It’s called a Crescendo attack and it works against agents with real tool access right now. Built Bendex Arc to catch it. It tracks behavioral trajectory across the full session. When a conversation starts drifting adversarially, it catches the pattern before the payload lands. If you’re running agents that touch external data, read emails, browse websites, or call tools without human review — this is the attack you should be thinking about. Red team it yourself: https://web-production-6e47f.up.railway.app/demo Free tier: https://bendexgeometry.com GitHub: https://github.com/9hannahnine-jpg/arc-gate submitted by /u/Turbulent-Tap6723 [link] [留言]

I’m building GoWDK , a Svelte-inspired web framework for Go. Honestly, I’m starting to wonder if I’m wasting my time. I like Go, but web development in Go still feels too verbose when you want modern component-based apps. Most options either feel too backend-only, too manual, or they push you back into JavaScript-heavy stacks. So I started building GoWDK to test a different path: Go components server-side rendering simple syntax minimal JS Go-native tooling compiler-driven DX The frustrating part is that building a framework is a lot of work, and I’m not sure if Go developers actually want this kind of thing So I’m asking honestly: Would a Svelte-like framework for Go be useful to you, or am I solving a problem most Go devs don’t care about? Repo: https://github.com/cssbruno/GoWDK submitted by /u/OkSeesaw7030 [link] [留言]

submitted by /u/Short_Map_2488 [link] [留言]

I am Brazilian and I have been working in tech for 12 years, but right now I feel like the dumbest person on earth. A guy named Damian Gutierrez from a company called Ritual ( https://www.linkedin.com/company/ritualnet/ ) reached out to me on LinkedIn about a Senior Backend Engineer position paying $180k USD. During the interview, I was so focused on performing well that I almost got scammed. They asked me to clone their repository onto my machine and run it with npm start . Yeah, I know. I already feel stupid enough, no need to remind me. At the time, something felt off, but the salary clouded my judgment. After I launched the application, they asked me to connect my crypto wallet (MetaMask) to it. That's when things started feeling really suspicious. Luckily, I didn't have MetaMask installed on the machine I was using for the interview. I worked with crypto back in 2022, and connecting a wallet is pretty common in DeFi applications, so I wasn't immediately alarmed. They told me, "No problem, let's continue on Monday when you're on a machine that has MetaMask installed." Afterward, I ran the repository through Claude, and it flagged the project as malware. Even after hunting through cron jobs, startup tasks, and everything else I could think of, I decided to wipe and reinstall my entire system. That thing was executing remote code on my machine. Honestly, I feel like an idiot. But more importantly, I want to warn others that this kind of scam exists in our industry. These people looked completely legitimate. Well-dressed Americans, interviewing from a fancy office, professional setup, polished communication. The whole thing looked real. It wasn't. I'll post in the comments what Claude found in the repository. The company is called Ritual, and as far as I can tell, all of their job openings are fake: https://docs.google.com/document/d/1Q3GyiZmgbBOQoGSP_N0SoDsl7e6fgFTdoxzxnreigvQ/edit?tab=t.0 The recruiter who contacted me: https://www.linkedin.com/in/damian-gutierre

Studies and vendor-reported benchmarks suggest that AI-powered growth systems can compress...