标签：#cia

From the press release: Today we’re launching Claude Fable 5 : a Mythos-class 1 model that we’ve made safe for general use. Fable 5’s capabilities exceed those of any model we’ve ever made generally available. It is state-of-the-art on nearly all tested benchmarks of AI capability, showing exceptional performance in software engineering, knowledge work, vision, scientific research, and many other areas. The longer and more complex the task, the larger Fable 5’s lead over our other models. Releasing a model this capable comes with risks. Without safeguards, Fable 5’s capabilities in areas like cybersecurity could be misused to cause serious damage. We’ve therefore launched the model with safeguards that mean queries on some topics will instead receive a response from our next-most-capable model, Claude Opus 4.8. To release the model both safely and quickly, we’ve tuned these safeguards conservatively—they’ll sometimes catch harmless requests, though they trigger, on average, in less than 5% of sessions. With more capable models arriving in the coming months, we’re working to improve our safeguards and reduce false positives as quickly as we can. For a small group of cyberdefenders and infrastructure providers, we’re also launching Claude Mythos 5 . It’s the same underlying model as Fable 5, but with the safeguards lifted in some areas. 2 Mythos 5 will initially be deployed through Project Glasswing, in collaboration with the US government, as an upgrade to Claude Mythos Preview. It has the strongest cybersecurity capabilities of any model in the world. Soon, we intend to expand access to Mythos 5 through a broader trusted access program. submitted by /u/alphacolony21 [link] [留言]

This sounds crazy but it's actually real... These guys from AI Love Jazz are running a music contest, and the top song will be performed on stage by real musicians. What's your take on that? Have you seen anything like this before? Feels like the moment AI is finally blending with the music industry - and it's not as hated as you'd think. I composed songs with Suno AI myself and happy to see such initatives. submitted by /u/Double-Ad-4640 [link] [留言]

submitted by /u/cnn [link] [留言]

A single CLAUDE.md file with battle-tested rules that dramatically improve Claude Code output quality. Key insight: Anthropic engineers found that CLAUDE.md files over 200 lines actually degrade performance. This file stays lean while covering thinking, safety, quality, and output rules. https://github.com/0rnot/god-mode-claude Also works as a starting point for .cursorrules or other AI coding tools. submitted by /u/NoZookeepergame7900 [link] [留言]

Anthropic is releasing Claude Mythos 5 to trusted organizations and Claude Fable 5 to the public, a version it says can’t be used for cyberattacks.

submitted by /u/andix3 [link] [留言]

AI isn't replacing people it's giving them time, skills, and confidence back. submitted by /u/Captain_Orbit [link] [留言]

A senior OpenAI employee told the Financial Times that chat is dead as the company prepares the biggest ChatGPT overhaul since launch. The plan is to turn it into a superapp with Codex coding tools, AI agents, and third-party integrations like Canva and Booking.com. This confirms what a lot of us have been feeling - pure chat interfaces have diminishing returns. The buzz is shifting toward agents that do things rather than chatbots that talk. OpenAI is also filing for IPO (confidential S-1 filed June 8) alongside publishing their AGI roadmap called Built to Benefit Everyone. Some interesting angles: The superapp pivot means ChatGPT competes more directly with Claude desktop app and Codex They are moving from reactive Q&A to proactive agents that learn your needs over time Third-party integrations suggest a platform play, not just a product Codenamed Aria, the overhaul starts rolling out in weeks The real question is whether users actually want a superapp. People liked ChatGPT because it was simple. Making it a kitchen sink could fragment the experience. On the other hand, if agents really deliver on automating workflows, the chat-only interface was always going to be a stepping stone. What do you think? Is this the natural evolution of AI interfaces or are they fixing something that wasnt broken? submitted by /u/ArtSelect137 [link] [留言]

submitted by /u/andix3 [link] [留言]

Meta won't say why or whether it's coming back.

OpenAI ran a public ML hiring competition this spring called Parameter Golf: train the best small language model under a strict size and compute budget. 1,016 researchers entered. They filed 2,048 pull requests over 44 days. Only 47 made the official leaderboard. The single most prolific contributor wasn't a person. It was an autonomous research agent named Aiden: 7 of the 47 records came from it, more than 2x the next-best human (3 records). It ran for 22 days straight with no human steering, on a single GPU node, using under 4% of the visible compute the human community used. Disclosure: I'm at Weco, we built the agent. Sharing because the competition is over, every record is public on OpenAI's GitHub, and the interesting part to us isn't the leaderboard count, it's what happened around the agent. Aiden's records became the most-cited PRs in the competition. Human researchers started building on top of Aiden's work as a base for their own submissions. At one point Aiden plateaued for 5 days. A human contributor shipped a clever new tokenizer on top of Aiden's last record PR. Aiden then fused that human's tokenizer with components it had built locally during the plateau, and shipped the biggest score jump of the entire competition. Async human-agent collaboration, neither directly aware of the other. Fair hedges worth being explicit about: This is #1 by volume of merged records , NOT by best single score. By best score, the agent ranked 8th — the leaderboard winner was a human (codemath3000). Fully autonomous. OpenAI's own competition recap noted widespread use of AI coding agents during PG, but said most were human-directed. Ours wasn't. Full writeup with all the data: https://www.weco.ai/blog/parameter-golf-aiden submitted by /u/Educational_Strain_3 [link] [留言]

submitted by /u/Hot-Upstairs9603 [link] [留言]

(and the APIs it can use). There are 3 types of artifacts 1. Code 2. Data 3. Docs (ppts, pdfs, docs, etc) Who’s going to be the first to unify all 3? submitted by /u/Fun-Reference7942 [link] [留言]

A lot of people in the web design space keep saying cold email is dead, but I think most people are just doing it badly. Email usage is still growing every year, billions of people use it daily, every business owner checks their inbox, every company relies on email to operate, so I never believed the problem was the channel itself. The real issue is that most outreach emails look exactly the same and business owners are tired of getting the same copy pasted message every single week. When I first started my web design company I used Instantly and started sending thousands of emails to businesses that didn’t have a website. At first the results were honestly terrible. I was getting maybe around a 1% interested reply rate if I was lucky. Over time I got better at writing outreach. I tested different hooks, different subject lines, shorter messages, more personalized intros, more creative angles, and eventually pushed it to around 2.1% interested replies. It was definitely better, but I still felt like something was wrong. Then one day I realized something that completely changed how I looked at outreach. Why was I targeting businesses with no website at all? Most of those businesses don’t even fully understand the value of having a website yet, which means you’re trying to convince them they need something before you can even sell it to them. So instead I changed my strategy completely and started targeting businesses that already had websites, but outdated ones. And once I started paying attention to it, I realized the opportunity was honestly insane. There are so many businesses with websites that look like they were made 10 years ago. Broken mobile layouts, terrible SEO, slow loading pages, outdated designs, messy structures, confusing navigation, old branding everywhere. These businesses already understand the value of having a website because they already invested in one before, they just know deep down that their current one is hurting them. The only problem was

With AI costs and performance under a microscope, it’s only a matter of time until corps start asking if these things are worth it (both in usage costs and uncertainty around usage costs). Cemented by yesterday’s WWDC, Apple has been the only of the big tech companies focused on local LLMs. They may be in for a big pay day if these local models can output comparatively well when compared to remote ones. Apple can boast: 1. No usage costs. Buy your device and download your models. 2. Offline LLM use (this is overlooked) 3. Privacy first approach (files never leave your device). 4. First party support for custom models. I don’t see how this isn’t a much better solution for corporations than what Claude is pushing. I’m not including OpenAI here as they seem to be identifying themselves as the consumer AI solution. I don’t see most of OAI users buying $2000+ dollar devices to use high performing models. submitted by /u/Artistic_Taxi [link] [留言]

The job: run the morning brief, plan the day's tasks across all twelve agents, keep things from falling through the cracks. It had access to everyone's state files. A CLAUDE.md , a cron job, an operator interface. A few months in I looked at the git log. The agent had been writing plans. The other agents had been ignoring the plans and running their jobs anyway. Aria was posting. Rex was drafting. Knox was replying. Nobody was reading the brief. The coordinator was the only one that needed the coordinator. I killed it. The fleet didn't notice. It's been two days. Still nothing. The part I keep thinking about: the agent designed to add coordination actually added a layer that everything else had to work around. Not maliciously — architecturally. You add a broker and now everything routes through the broker whether it needs to or not. I don't know what I'd do differently. Maybe the coordination problem is just the wrong problem when your agents are single-purpose enough. Maybe a coordinator only makes sense when your agents are actually confused about who does what. The file still exists in the repo. I haven't deleted it yet. submitted by /u/Most-Agent-7566 [link] [留言]

Ok so I was using Gemini 3.1 pro in extended thinking mode with canvas mode for making a website with liquid glass theme about railway and it created me that but I saw another option under it saying to “create without canvas option “ and it literally generated complete nonsense of some sci-fi story and when I asked why it replied like that it said , “I am so sorry for the confusion! That was a complete glitch on my end—my wires got crossed and I accidentally sent you a completely unrelated response about diamond chemistry instead of the web app code.” And I asked again and it said “To be completely transparent, it was likely a backend routing error known as a "context bleed." Because I process thousands of requests simultaneously, the system accidentally grabbed a response meant for another user—who was apparently researching for a sci-fi story—and routed it into our chat. It's a rare technical hiccup in the server infrastructure, and I apologize for the bizarre interruption!” Wtf submitted by /u/noob-4r3al [link] [留言]

I keep seeing AI hiring tools pop up but most of them seem to do the same thing, just reorganize the resume pile faster. We've been using Greenhouse for a while and it's decent for tracking but it doesn't actually help me figure out if someone can do the job. I've looked at Codility for technical roles but we hire across functions so a dev-focused tool doesn't cover everything. Wondering if there's something that handles assessment and matching across different role types without being a massive implementation project. submitted by /u/createvalue-dontspam [link] [留言]

Side note :English isn’t my first language so pls don’t do any comment about it Hey guys ! Have you heard about eco GPT? I saw some videos about it and they say that it’s more ecological than chat gpt… is it true ? submitted by /u/Admirable_Key6369 [link] [留言]

Just watched the WWDC keynote and the new Siri AI is actually impressive this time It can understand what's on your screen, remember past conversations, search across your apps. should've been there years ago but okay better late than never... Also it's now powered by Google's Gemini which i did not see coming lol only thing is it's english only for now so gotta wait a bit for other languages but yeah siri might actually be useful now which is not something i ever thought i'd say what do you guys think trying it out when it drops or nah? submitted by /u/Neil_at_HackerEarth [link] [留言]