Felipe @_dev_pipe

@mattpocockuk's skills repo has more stars than React, and the most installed skill is one line long. I animated how his whole workflow works, from /grill-me to /retro

Friendly reminder that Hermes was never built or intended to be exclusively for the "personal assistant" agent that can just read your emails and nothing else. I fully intend and have plainly stated many times that I always built hermes to be the most powerful AI Agent. "Normie" consumers can leverage that and we do what we can to make it an experience they can approach (the mobile app will be almost exclusively focused on consumer) - but they are not our only demographic. I want the scientists, the cybersecurity engineers, the developers, the knowledge workers, the creatives, and everyone else to be able to have an agent that they can leverage that is maximally useful to them too. Not just your mom. (She called btw you need to make your bed)

1. Oh shit, AI can do my job better than me 2. Software engineering is dead! 3. I can vibe code as much slop as I want! 4. Oh, things are not going well. Fable/Sol/Opus all suuuck 5. But what if I constrain the agent? Put it in a straitjacket? 6. Oh, the results are pretty good now. How do I go deeper? 7. *Orders 12 software engineering books from Amazon* 8. Software engineering is alive!

My hot take from chatting to @poteto is that we should use MORE abstractions in the AI age You can use them (combined with harsh lint rules) to reduce the design space available to the agent and constrain them only to good decisions. Combined with the fact that high-leverage abstractions let you do more with less code - so, more token efficient. Plus, unwinding the damage from a bad abstraction is much cheaper with agents. This runs counter to a lot of folks thinking that agents just want to read the raw code. They can, but they're not maximally efficient that way. Be braver! Design abstractions.

job hunting can make you or break you completely!

been a little quiet lately but excited to share what's next: HumanLayer is building the software forge for AI and whatever comes after it

Google launched EmbeddingGemma 2 🔥 This is a bigger than you think. Most people build multimodal RAG as caption/transcribe, and then to text embedder. But EmbeddingGemma 2 puts text, code, images, video, and audio into ONE shared vector space, so you can query a voice memo for a video clip or search hours of audio with text - on ONE model! Also, license is now Apache 2.0, so it can be used commercially. Great release! Open weights: huggingface.co/google/embeddi… Source: blog.google/innovation-and…

同样的 $20 订阅套餐 你可以订阅 Claude Pro 然后使用 30亿 Token 的 Opus 5.5 或者你也可以订阅 ChatGPT Plus 然后使用 8.7亿 Token 的 GPT-6.1-Sol Opus 5.5 有 90tps；GPT-6.1-Sol 有 25tps，开 fast 能到 50tps 你怎么选？🤡

The Artificial Analysis Intelligence Index vs. Cost per Task Pareto frontier has changed significantly over the past 18 months Only 1 year ago, the highest-scoring model was GPT-5 mini (high), scoring 17 on v4.3 of the Intelligence Index at ~$0.05 per task. As of last week, Claude Opus 5.5 set the highest score to date of 58 at ~$5.98 per task.

respect yourself, remove that free plan.

I've tried 21 general-purpose AI Agents 😵‍💫 OpenAI Dots, Muse, Buzz, Manus, Grok Bot, Claude Cowork, Gemini Spark, Perplexity Computer, Instinct,Poke, OpenClaw, Microsoft Scout, Genspark,Lindy,Genii, Simular,Hermes, Toyo, Hello Haven, Zo,Vellum. Quick take + demo for each ↓

Top 10 OpenCode Skill Repos: 1. Superpowers - github.com/obra/superpowe… 2. Ponytail - github.com/DietrichGebert… 3. UI/UX Pro Max - github.com/nextlevelbuild… 4. Graphify - github.com/Graphify-Labs/… 5. Caveman - github.com/JuliusBrussee/… 6. Addy Osmani Skills - github.com/addyosmani/age… 7. Understand Anything - github.com/Egonex-AI/Unde… 8. Awesome Claude Skills - github.com/ComposioHQ/awe… 9. Archify - github.com/tt-a1i/archify 10. Impeccable -github.com/pbakaus/impecc…

My god this is such a good speech that every SWE needs to hear. You know what? Every person should hear it Keep the happy memories, eyes on the reality, be excited about the future. That’s the best that anyone can do

Software Maker > Software Writer

being on 𝕏 all day gives you the most broken view of reality lol. spend 10 minutes on here and you'd think: > AGI is so close > RSI has been achieved > robots are going to kill us all > TPUs are going to space > Opus 5.5 is the best model ever > Astra is insane > Jev is replacing half your LLM calls > some new model is about to end civilization then you go outside... and people are like: "wait, ChatGPT can code?" the difference between AI Twitter and the actual world is hilarious.

Introducing Xiaomi MiMo-V2.6 — Pro & Flash. Frontier intelligence, all the modalities, built in public. 🔹 Two omnimodal models, advancing through scaled reinforcement learning 🔹 Pro performs on par with Claude Opus 5 and GPT-5.6 Sol across most agent benchmarks 🔹 Pro scores 46 on the Artificial Analysis Intelligence Index — the highest among open-source models 🔹 Stronger coding, computer use, 3D reasoning and creative capabilities 🔹 Open model weights, technical report, RL environments and training code Blog：mimo.xiaomi.com/mimo-v2-6

x.com/i/article/2100…

Nearly half a year of silence. We spent it studying one problem: how far RL can scale. MiMo-V2.6 is in the middle of its RL run right now. Three things we scaled: compute (~2B tokens per step, 1568 prompts × 16 rollouts, fully async), environments and harnesses (multi-task agentic RL, mixed across multiple harnesses in one run), and grader compute (agentic in-group credit assignment, with test-case and rubric-based rewards). We'll open-source the details piece by piece over the coming weeks. Streaming the run: mimo.xiaomi.com/rl/

@theemreates

holy crap this is super exciting it’s not “generative”, so imo it’s a bit misleading to compare it with LLM. it can’t replace LLMs on most tasks but it can automate a lot of things where the options are clear but choice is not - it’s basically a real time, almost free, intelligent decision engine i can already think of so many practical use cases. can’t wait to get my hands on it!

Diogo Almeida @CompleteSkeptic

4 weeks ago

After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x

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