Manish Singh Bisht @0xManishTech
🛠️ Co-Founder(CTO): https://t.co/7T1sF79oNd - AI that builds apps and websites in minutes. 🗞️ Ex-CTO Inshorts #️⃣ #genai #aiagents #blockchain #zk #technology 🚀 manish.tech Dubai, United Arab Emirates Joined September 2022-
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new mcp spec just dropped: 1. auth is fixed! at last! 2. elicitation now makes it possible for a server to ask an end-user for more info, enabling more agentic behaviors 3. structured tool outputs makes it easier to reason about tool responses 4. more security documentation
So I gave the same task to Codex, Jules, and Devin Let's see what these AI Agents are all about... Do they actually work?
@0xManishTech Your coin 'GOLEX' (GOLEX) is live! Link: believe.app/coin/CRK9X7Mny…
We’re amazed: @AMD now beats Nvidia in inference for Image-to-Video generation. 20% faster and 35% cheaper when using our Higgsfield DoP model. AMD MI300X also has a very easy setup. Details and tests are below. 🧩 1/8
If you’ve been following vibe-coded games over the last month (and have tried making one yourself), it should be abundantly obvious that we are very close to someone building a “creation” ecosystem—or App Store—where anyone can be a game developer. And success of the creators…
Today, we release QwQ-32B, our new reasoning model with only 32 billion parameters that rivals cutting-edge reasoning model, e.g., DeepSeek-R1. Blog: qwenlm.github.io/blog/qwq-32b HF: huggingface.co/Qwen/QwQ-32B ModelScope: modelscope.cn/models/Qwen/Qw… Demo: huggingface.co/spaces/Qwen/Qw… Qwen Chat:…
"A calculator app? Anyone could make that." Not true. A calculator should show you the result of the mathematical expression you entered. That's much, much harder than it sounds. What I'm about to tell you is the greatest calculator app development story ever told.
DeepSeek V3 -> Gemini 2.0 Flash (cheaper and better) DeepSeek R1 -> o3-mini (cheaper and just as good) RIP DeepSeek? That didn't take long.
Introducing open-Deep-Research by @huggingface ! 💥 Deep Research from @OpenAI is really good... But it's closed, as usual. > So with a team of cracked colleagues, we set ourselves a 24hours deadline to replicate and open-source Deep Research! ➡️ We built open-Deep-Research,…
o3-mini sets two new aidanbench records o3-mini effort=low contests newsonnet while taking 20 min to run (o1 took 36 hours)
R1+Sonnet set a new SOTA on the aider polyglot benchmark, at 14X less cost compared to o1. 64% R1+Sonnet 62% o1 57% R1 52% Sonnet 48% DeepSeek V3 aider.chat/2025/01/24/r1-…
Our first short course with @AnthropicAI! Building Towards Computer Use with Anthropic. This teaches you to build an LLM-based agent that uses a computer interface by generating mouse clicks and keystrokes. Computer Use is an important, emerging capability for LLMs that will let…
Introducing Kimi k1.5 an o1-level multi-modal model -Sota short-CoT performance, outperforming GPT-4o and Claude Sonnet 3.5 on 📷AIME, 📷 LiveCodeBench by a large margin (up to +550%) -Long-CoT performance matches o1 across multiple modalities (📷MathVista, 📷Codeforces,…
How to train a State-of-the-art reasoner. Let's talk about the DeepSeek-R1 paper and how DeepSeek trained a model that is at frontier Sonnet/o1 level.
The DeepSeek R1 training procedure confused me at first. My brain refused to accept this powerful model could be incredibly straightforward. Let me break down this elegant beast for you 🧵

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