Most AI content on X/Twitter shows demos without explaining how it actually helps you. We build AI systems that run real businesses that work smoothly in production. Are you tired of watching generic AI content with 0 impact on your work? Want to use AI to get real results in your work? If the answer is yes, then this post is for you. Hi, we’re techificial.ai. We help enterprises and startups create AI systems that deliver better results. 🧵Here’s what you should know about us (read more): techificial.ai

They laughed when I said I wanted to lead a team one day. I didn’t care. In school, everyone gave standard answers: Teacher, Doctor, Astronaut. When my friends asked, I told them: "I don't know the industry, but I want to build and lead a team." They laughed at me but I didn’t care. Fast forward to today: I’m building something I’ve always dreamed of at @techificial. I'm Sajal Agarwal - Founder of Techificial.ai. We help enterprises and startups build real-world AI systems, including: • Custom AI agents • RAG pipelines • LLM training • End-to-end AI product development We are actively looking to partner with founders, engineers, and operators building in the AI space. Whether it's co-developing, sharing referrals, or trading notes, let’s connect 🤝 Check our pinned post for our full capabilities!

Everyone's debating GPT vs Claude. Meanwhile, Microsoft shipped 7 in-house models, and one of them is already running inside your IDE without you choosing it. Microsoft AI's MAI is built to help people stay updated with the fast-moving AI world with seven new models across reasoning, coding, image, voice, and transcription. All of them are developed from the square one without leaning on other companies' AI systems. Here's what actually matters for your stack: 1. Your IDE already runs MAI code. 2. Beats Claude Sonnet 4.6 in evals. 3. Transcription is 5 times faster than competitors. 4. RL trains directly on your workflows. The debate was always about who owns the model running in your stack rather than ChatGPT vs Claude. Which MAI model are you testing first?

Unpopular opinion 💬: By 2030, the internet won't be built for humans anymore. You won't browse dozens of different websites or download separate apps. Instead, you will live inside one ChatGPT-style super-app. You will give instructions and your personal AI agent will handle everything in the background. How are you preparing for this massive change?

Anthropic just admitted that Claude Fable 5 was giving weaker responses to AI researchers without telling them. Here's what actually happened: Anthropic built a hidden safeguard into Fable 5 that would invisibly degrade performance for anyone they suspected of using Claude to train competing AI models without any alert, warning message, or indication that it was happening. Researchers would just get worse results without knowing why. Here's the timeline in 5 points: 1. Fable 5 has degraded researcher outputs. 2. Researchers got worse results unknowingly. 3. The AI community called it secret sabotage. 4. Anthropic admitted fault and reversed course. 5. Visible fallbacks now replace hidden ones. Their view was that a hidden safeguard would be very tough to spot and work around. That argument didn't change internally until the AI research community raised serious concerns. Dean Ball, a former White House AI adviser, called it "shockingly hostile." Prime Intellect's Will Brown was even more direct, saying it felt like Anthropic was making it harder for others to follow the same path. The important lesson for any business using AI in production is that if your AI provider can change the system's answers without telling you and you haven't spotted it, you are not really in control of your own product. Are you actually in control of what your AI is doing in production?

Anthropic says it implemented these safeguards to limit foreign adversaries and hidden them was a way to make them narrower. The company now says it made the wrong tradeoff.

More here: wired.com/story/anthropic-re…

𝐒𝐭𝐨𝐩 𝐠𝐢𝐯𝐢𝐧𝐠 𝐲𝐨𝐮𝐫 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰 𝐝𝐚𝐭𝐚 𝐭𝐨 𝐜𝐥𝐨𝐮𝐝 𝐀𝐈 𝐚𝐠𝐞𝐧𝐭𝐬. 𝐍𝐨𝐮𝐬 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐛𝐮𝐢𝐥𝐭 𝐚𝐧 𝐚𝐥𝐭𝐞𝐫𝐧𝐚𝐭𝐢𝐯𝐞 𝐭𝐡𝐚𝐭 𝐫𝐮𝐧𝐬 𝐞𝐯𝐞𝐫𝐲𝐭𝐡𝐢𝐧𝐠 𝐥𝐨𝐜𝐚𝐥𝐥𝐲 𝐚𝐧𝐝 𝐢𝐦𝐩𝐫𝐨𝐯𝐞𝐬 𝐢𝐭𝐬𝐞𝐥𝐟 𝐨𝐯𝐞𝐫 𝐭𝐢𝐦𝐞. The new Hermes Desktop app brings the power of their self-improving agent to a native GUI across macOS, Windows, and Linux. 👉 𝐇𝐞𝐫𝐞'𝐬 𝐰𝐡𝐲 𝐢𝐭 𝐜𝐡𝐚𝐧𝐠𝐞𝐬 𝐞𝐯𝐞𝐫𝐲𝐭𝐡𝐢𝐧𝐠: 1. Watch your agent learn visually 2. One-click tool and server management. 3. Manage multiple messaging platforms easily. 4. Open-source architecture with adaptable models. People are already loving the terminal CLI version, and this native desktop app is built on the same technology. You can download the preview app directly from the Hermes Agent Portal. Are you already running local AI agents or still dependent on cloud-hosted workflows?

We got Opus 4.8. We got Fable 5 from Mythos-Class. When are we getting GPT-5.6?

𝐑𝐞𝐦𝐞𝐦𝐛𝐞𝐫 𝐰𝐡𝐞𝐧 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫𝐬 𝐛𝐮𝐢𝐥𝐭 𝐚𝐩𝐩𝐬? 𝐓𝐡𝐚𝐭 𝐞𝐫𝐚 𝐢𝐬 𝐨𝐯𝐞𝐫. 😌 Analysts, marketers, and operators can now ship the tools with a single prompt. OpenAI didn't just update Codex. They rewrote who's going to build. 👉 𝐇𝐞𝐫𝐞'𝐬 𝐰𝐡𝐚𝐭 𝐡𝐚𝐩𝐩𝐞𝐧𝐞𝐝: 1. One prompt turns your idea into a working app. 2. Change one thing. Codex ignores everything else. 3. AI now runs every tool your team uses. 👉 𝐅𝐨𝐫 𝐲𝐨𝐮𝐫 𝐭𝐞𝐚𝐦, 𝐭𝐡𝐢𝐬 𝐦𝐞𝐚𝐧𝐬: 1. A finance analyst makes decisions from a live tool. 2. A sales rep closes deals with one prompt. 3. A marketer runs everything from one place. Non-developers are shipping apps faster than traditional engineering teams can set up a meeting. The real issue was the 3 weeks between idea and working product. That wait is over. What would change in your company if building took minutes?