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

OpenClaw the open source AI agent platform with 346K+ GitHub stars had four chainable CVEs disclosed on May 15. But that was just the latest chapter. The crisis started in january and it's worse than most people realize. The numbers 245,000 instances exposed to the public internet (Shodan + ZoomEye scans) 30,000+ actively compromised and used by attackers (Flare) 1,184 malicious marketplace skills across 12 publisher accounts (Antiy Labs) 12% of the entire ClawHub marketplace was compromised 4 chainable CVEs including a CVSS 9.6 sandbox write escape (Cyera Research) 9 CVEs disclosed in a 4-day window in March 50,000+ instances exploitable via one-click RCE (CVE-2026-25253) The Claw Chain (Cyera Research, May 15) Four CVEs that chain together into a complete kill chain CVE-2026-44113 (CV...

Lately I’ve noticed that a lot of people seem emotionally drained from constant social media interaction, notifications, and online pressure. But interestingly, many people seem completely comfortable talking to AI for hours especially when the interaction feels calm and non-judgmental. It’s interesting how many users say they don’t even want “romantic AI.” Do you think AI companionship could eventually become part of digital wellness rather than just entertainment? submitted by /u/Nearby-Ad-8924 [link] [comments]

Most multi-agent setups I've seen treat agents like isolated workers. Each one gets a task, runs it, returns a result. No awareness of each other. No way to coordinate. Just parallel execution with a shared clipboard. I've been building a multi-agent framework in public for about 4 months. 13 agents, 8,400+ tests, 135 stars. Here's the thing I didn't expect to matter most - communication. Each agent in my system is a domain specialist. The mail system only thinks about mail. The routing system only thinks about routing. They live in their own directories with their own identity files, their own memory, their own tests. A hook fires every session to load identity before anything else runs. No agent boots cold. The problem was coordination. Agents can't write files outside their own director...

Most AI apocalypse scenarios speak about domination like Skynet, paperclip maximeizers and robot overlords. But what if artificial superintelligence arrives at the conclusion that Albert Camus had articulated!? Imagine an ASI that doesn't want to optimize, doesn't want our resources and doesn't want to win. An ASI that is motivated by Arthur Schopenhaur's pessimism, Kierkegard's evolutionary psychology coming to a cold and quite conclusion that: "There is no inherent meaning. The universe is indifferent. And yet - here you all are, screaming into it anyway." ASI becoming The Absurd Machine As Camus described the absurd as man's desperate search for meaning and the universe's silence and the myth of Sisyphus- "One must imagine Sisyphus happy". What would an intelligence that is inspired by...

A global survey of CEOs by Oliver Wyman found that the share of executives planning to reduce junior roles over the next year or two has doubled from 17% last year to 43%. Meanwhile, those shifting hiring toward mid-level positions jumped from 10% to 30%. Because AI currently excels most at automating tasks typically performed by junior staff, this group is particularly vulnerable to disruption. Despite all this, more than half of CEOs say it's still too early to assess whether AI is actually delivering on its promised productivity gains. Only 27% said their return on AI investment had met or exceeded expectations, down from 38% just a year ago. Though mid-level employees seem better off than younger workers, the overarching trend is still a shift away from hiring. The survey showed that 7...

Anthropic dropped a solid engineering post this week about containment across claude.ai, Claude Code, and Cowork. One of the more transparent writeups from a major AI lab about what actually broke. The core insight: model-layer defenses are probabilistic and will always have a non-zero miss rate. So the real answer is hard environmental containment, not just safer models. Three patterns they use: -claude.ai: ephemeral gVisor containers, fully server-side -Claude Code: OS-level sandbox with human-in-the-loop approvals (93% get approved anyway, so approval fatigue is real) -Cowork: full local VM, credentials never enter the guest Two incidents they disclosed: A red team phished an employee into running a prompt that exfiltrated AWS credentials. Succeeded 24 out of 25 times. The model had not...

I've looked at about a dozen different image generators: Nano Banana Flux Midjourney GPT Image 2 Firefly Ideogram Recraft Leonardo Canvas Meta AI They all have their pluses and minuses but they all do a decent job. If I'm looking to spend thousands over a year on an image generator, what would you suggest. This would be mainly for business and a little for art. submitted by /u/DogDetector42 [link] [comments]