redmonkey

Feels like Kimi 2.7 better at planning and Minimax M3 better at catching bugs

When Opus sends you to sleep

If you need AI to do a search for you in the real world, ds4-agent is basically SOTA, because it can access the web sites without any limitations given that it uses your local Chrome browser (no, not in headless mode, that's the trick...), and DeepSeek v4 is great at search.

Introducing the Fusion API, the smartest compound model in the market. Fusion achieves Fable-level intelligence at half the price. How it works 👇

@llmdevguy Im using M3, 2.7 and opus 4.8 side by side. Cant wait 5.2 and results from your end

@redmonkeyAI I am testing it. It's tier below them unfortunately.

🔥GLM 5.2 vs Kimi K2.7. Which one is better? Will test it soon. What's your thoughts?

We went from 0 to 2,200 paying customers in under a year by following @ycombinator's 15 rules: 1/ Do things that don't scale. Get your first 10 customers by hand. 2/ Launch now, not when it's "ready". A mediocre product in front of real users teaches you more in a week than 6 months of polishing in the dark. 3/ Charge from day one. If nobody will pay, you don't have a startup, you have a hobby. 4/ Talk to users every single day. The roadmap you need is sitting in your customers' heads, and they'll hand it to you for free 5/ Always hunt the 90/10 solution. For almost any feature there's a way to capture 90% of the value with 10% of the effort. 6/ There are only two real jobs: write code and talk to users. Everything else (conferences, press, VC coffees, corp dev calls) is fake work. 7/ You pick your customers as much as they pick you. 10 users who love you beat 1,000 who kind of like you. 8/ Growth is an output, not a strategy. Grow before product market fit and all you're buying is churn. 9/ Do less, really well. Pick one or two metrics and judge every task against them. 10/ Know if you're default alive. Paul Graham's question: on current growth and current burn, do you reach profitability before the money runs out? 11/ Don't hire until it hurts. Headcount is not progress, it's burn. Every great startup was embarrassingly small for embarrassingly long. 12/ Momentum is the only real moat in year one. Ship something every week, even something tiny. 13/ Every great startup is badly broken at some point. The game isn't avoiding fires, it's how fast you put them out. Again. And again 14/ Ignore your competitors. Startups die of suicide, not murder. In year one, the only company that can kill yours is your own 15/ Startups rarely die from running out of money. They die because the founders fall out. Brutal honesty with your cofounder is the cheapest insurance you'll ever buy Good luck !

Go baby go. Opus retaining only for review

Banning GPU export to China & they became self-sufficient... Tariffs havent work either ..

Are you freaking serious?

Intelligence should be open, accessible, and ready to build with, empowering every developer, everywhere. GLM-5.2 is now available to all GLM Coding Plan users, including Lite, Pro, Max, and Team plans. docs.z.ai/devpack/latest… As our new flagship model, GLM-5.2 delivers powerful coding capabilities, usable 1M-context support, and continued strengths in long-horizon tasks. API and Chatbot services will launch next week. The model will also be officially open-sourced next week under the MIT License. The future of AI is open, and it belongs to the people.

AI company curbs Employees AI usage ;p

🌘 Kimi-K2.7-Code, our latest coding model, is now released and open-sourced! 🔷 Improved coding & agent performance over K2.6: +21.8% on Kimi Code Bench v2, +11.0% on Program Bench, and +31.5% on MLS Bench Lite. 🔷 Reasoning efficiency: Less overthinking, with 30% lower reasoning-token usage compared to K2.6. 🔷 Long-horizon coding: Improved instruction following, higher end-to-end coding task success rates. ⚡️ 6x High-Speed Mode coming soon! 🔌 Available today via Kimi API and Kimi Code. 🔗 Kimi Code: kimi.com/code 🔗 API: platform.moonshot.ai

@Sauers_ "FAT" :)

Big if true

They will take All the jobs

Go OpenAi go

Recently, we purchased one of each Anthropic/OpenAI subscription plan and randomly ran long horizon coding tasks until we exhausted the weekly limit. It's widely believed that a $200/month plan maxes out at ~$2000/month worth of tokens (assuming API pricing). However, we found that the subscriptions are actually far more generous. (2/4)

@egorkabantsov Better than 4.8, but also more expensive

So it's been almost 24 hours since Fable 5 release. How is it compared to Opus 4.8 and GPT 5.5?

@aroussi Have you used superduperultra mode?

Has anyone experienced this with Fable? 😂

This is why everyone goes for IPO now