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@HermesAgentTips Now Minimax M3 is above them.

Here's the top 5 most cost efficient models to run on hermes agent 1. MiMo-V2.5 2. DeepSeek V4 Flash (Max) 3. MiMo-V2-Flash (Feb 2026) 4. DeepSeek V4 Flash (High) 5. Hy3-preview

@MaxForAI Justo. Incorporó un montón de datos en chino donde se nombra a Qwen.

@Globalcobots 但是这个问题在4.7没有出现，在4.8就大量出现了 我只能解释为4.8增加了大量的中文数据

笑死了，Claude Opus4.8蒸馏了阿里巴巴Qwen啊🤣 通过API用中文问你是谁，会很大概率回答 我是通义千问（Qwen），是阿里巴巴集团旗下的统义实验室自主研发的超大规模语言模型。

@jun_song It’s not distillation, it’s training data contamination: when a model is trained on recent internet data full of text generated by other models, this is bound to happen, and it’s not the first time (it’s happened to almost all of them). Saying “I’m Qwen” proves nothing.

Opus 4.8 distilled Alibaba Qwen 😂 The table has turned to Open Source AI

@midudev Agree!

Mi lista de modelos de IA favoritos a día de hoy Código → Opus 4.7 Escritura → GPT-5.5 Imagen → GPT Image 2 Música → Suno 5.5 Video → Seedance 2.0 Noticias → Perplexity OCR → GLM-OCR Voz → ElevenLabs Transcripción → Fast Whisper Scraping → Firecrawl IA Local → Qwen3.6

@NousResearch Tutorial: multi-agent orchestration with Hermes, Ollama processes sensitive data locally, Claude builds the output, Minimax coordinates. Hub and Spoke pattern in practice. youtube.com/watch?v=tmh6jq…"

Hermes Agent v0.14.0 - “The Foundation Release” Changelog below

Hermes Agent: Orquesta 3 IAs sin que tus datos salgan de tu máquina youtu.be/tmh6jqocd1Q?si… via @YouTube

@NousResearch @NVIDIAAI Running Hermes on Mac Mini M4 with MiniMax M2.7 + local Qwen 3.5 9B fallback. Computer Use in background, no cursor movement. Spent weeks testing before recording a full tutorial covering Hindsight memory, MCP Blender and multi-agent setup. youtu.be/qthG136KThM

It has been a pleasure collaborating with the @NVIDIAAI team to ensure that Hermes Agent runs perfectly on DGX Spark!

Hermes Agent: Lo que NADIE te enseña sobre el Computer Use youtu.be/qthG136KThM?si… via @YouTube

Estos días estoy probando Hermes a fondo, y no paro de sorprenderme. Ahora hasta dibuja! #Hermes #IA #AiAgent #AI

@DotCSV Yo sigo usando más Claude, pero reconozco que estoy contento con ChatGPT 5.5 y por ejemplo sigo prefiriendo Codex para programar. También estoy bastante contento con los nuevos modos que ya están en enterprise, como el agente y las skills.

Vale gente, empiezo a ver mucho apoyo a GPT 5.5 Recordad, ahora nos toca cuando salga GPT 5.6 y Opus 4.8 dar apoyo masivo a Claude y abandonar un par de semanas a GPT. Sólo moviéndonos de un servicio a otro conseguiremos que ninguno se acomode 👍

Probé ATOMS: ChatGPT y Claude compiten para crear tu proyecto youtu.be/k9V_2z1F84A?si… via @YouTube

ChatGPT Enterprise: cómo crear Workspace Agents y Skills para empresas youtu.be/VEGWysAXMjA?si… via @YouTube

MusicCreator vs Udio: ¿Cuál crea mejores canciones con IA? youtu.be/lbpDNUUHWNE?si… via @YouTube

Entrena modelos de IA con Unsloth Studio sin programar youtu.be/TUbPPe-KwTI?si… via @YouTube

@AlicanKiraz0 Good training!

Yeni Siber Güvenlik modelimi finetune'a başladım; Qwen3.6-35B-A3B'yi 1.3 Milyar token'lık cybersecurity datasetim ile finetune ediyorum 🔥 Bu hafta açık-kaynak olarak paylaşacağım.

Qwen 3.6 en M3 Max 48GB. 35B parámetros. Solo 3B activos. Y supera al Gemma 4 31B en coding.

@AnthropicAI 24+ hours waiting for support response. You charged me €60+, I have the invoice, I have the bank charge, and my API balance shows zero. Your support chatbot loops endlessly. No way to reach a human. I need someone to contact me.

@AnthropicAI 24+ hours waiting for support response. You charged me €60+, I have the invoice, I have the bank charge, and my API balance shows zero. Your support chatbot loops endlessly. No way to reach a human. I need someone to contact me.

@AndrewYNg Interesting framing. The bottleneck may indeed shift to deciding what to build, but that doesn’t remove the tension at the labor level. More software doesn’t necessarily mean more jobs, it may also mean smaller teams, fewer junior roles, and higher expectations per engineer.

As AI agents accelerate coding, what is the future of software engineering? Some trends are clear, such as the Product Management Bottleneck, referring to the idea that we are more constrained by deciding what to build rather than the actual building. But many implications, like AI’s impact on the job market, how software teams will be organized, and more, are still being sorted out. The theme of our AI Developer Conference on April 28-29 in San Francisco is The Future of Software Engineering. I look forward to speaking about this topic there, hearing from other speakers on this theme, and chatting with attendees about it. We’re shaping the future, and I hope you will join me there! It is currently trendy in some technology and policy circles to forecast massive job losses due to AI. Even if they have not yet materialized, these losses certainly must be just over the horizon! I have a contrarian view that the AI jobpocalypse — the notion that AI will lead to massive unemployment, perhaps even rioting in the streets — won’t be nearly as bad as dire forecasts by pundits, especially pundits who are trying to paint a picture of how powerful their AI technology is. Among professions, AI is accelerating software engineering most, given the rise of coding agents. According to a new report by Citadel Research, software engineering job postings are rising rapidly. So if software engineering is a harbinger of the impact AI will have on other professions, this expansion of software engineering jobs is encouraging. Yes, fresh college graduates are having a hard time finding jobs. And yes, there have been layoffs that CEOs have attributed to AI, even if a large fraction of this was “AI washing,” where businesses choose to attribute layoffs to AI, even though AI has not changed their internal operations much yet. And yes, there is a subset of job roles, such as call center operator, that are more heavily impacted. Many people are feeling significant job insecurity, and I feel for everyone struggling with employment, whether or not the cause is AI-related. And many other factors, such as over-hiring during the pandemic and high interest rates, have contributed to the slowdown in the labor market, and the notion that AI is leading to unemployment is oversimplified. In software engineering, I see a lot of exciting work ahead to adapt our workflows. It is already clear that: (i) As AI makes coding easier, a lot more people will be doing it. (ii) Writing code by hand and even reading (generated) code is not that important, because we can ask an LLM about the code and operate at a higher level than the raw syntax (although how high we can or should go is rapidly changing). (iii) There will be a lot more custom applications, because now it’s economical to write software for smaller and smaller audiences. (iv) Deciding what to build, more than the actual building, is becoming a bottleneck. (v) The cost of paying down technical debt is decreasing (since AI can refactor for you). At the same time, there are also a lot of open questions for our profession, such as: - In the future, what will be the key skills of a senior software engineer? And for junior levels, what should be the new Computer Science curriculum? - If everyone can build features, what skills, strategies, or resources create competitive advantage for individuals and for businesses? - What are the new building blocks (libraries, SDKs, etc.) of software? How do we organize coding agents to create software? - What should a software team look like? For example, how many engineers, product managers, designers, and so on. What tooling do we need to manage their workflow? - How do AI agents change the workflow of machine learning engineers and data scientists? For example, how can we use agents to accelerate exploring data, identifying hypotheses, and testing them? I’m excited to explore these and other questions about the future of software engineering at AI Dev. I expect this to be an exciting event. Please join us! [Original text: The Batch newsletter.] ai-dev.deeplearning.ai