The token wars are getting interesting haha. Soon they'll be paying us to use the models.
LLMS
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Analyzing the Agentic Architecture Behind Claude Code
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Anthropic accidentally leaked 512,000 lines of Claude Code's source. Not everyone noticed the real moat. It's not the model. It's the harness around it: 1. A self-healing query loop that recovers before failing
2. A background memory system that cleans up between sessions
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DeepReinforce Wins Top Spot in AI Contest
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DeepReinforce took first place in a competitive programming contest, with its AI Agent, outperforming all human contenders. Earlier, the previous best result was achieved by Gemini 3.1, hitting 8th place in February 2026. "GrandCode is a multi-agent AI system powered by
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Anthropic releases Claudini for automated adversarial research against LLMs
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56 loops of Claude Code just killed every hand-crafted AI attack method. Anthropic just open-sourced a repo called Claudini. It uses Claude Code in an autoresearch loop to automatically discover new adversarial attacks against LLMs. After 56 iterations, it found an
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Disco GenTabs: From Information Browsing to AI-Generated Interfaces
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This is powered by Gemini 3. The experiment is called Disco.
The feature is GenTabs. The big shift is this: We move from browsing information
→ to generating interfaces. AI is no longer just answering questions. It is assembling software on demand. -
Achieving 78.9% on OS-world, Outperforming GPT-5.4 at Lower Cost
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Ngl, reaching 78,9% on OS-world and outperforming even GPT-5.4 at 1/10 cost is a big deal
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Ollama Gets MLX Support in Recent Update
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Haha, but what's not April's fools is that ollama finally got MLX support the other day
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Using Sonnet for Judging: A Practical Alternative
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Interesting idea! You can also just use Sonnet for judging, it is pretty good by itself
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Build a Large Language Model from Scratch Repository
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If you found it useful, reshare it with your network Follow me → @Sumanth_077 for more insights and tutorials on AI Engineering! nitter.net/Sumanth_077/status/203… Sumanth (@Sumanth_077) Build a Large Language Model from scratch! This repository contains the code examples for developing, pretraining, and finetuning a LLM from scratch. It is the official codebase for the book Build a Large Language Model (From Scratch). Notebook examples are included for each chapter: Chapter 1: Understanding Large Language Models Chapter 2: Working with Text Data Chapter 3: Coding Attention Mechanisms Chapter 4: Implementing a GPT Model from Scratch Chapter 5: Pretraining on Unlabeled Data Chapter 6: Finetuning for Text Classification Chapter 7: Finetuning to Follow Instructions Link to the repo in the comments! — https://nitter.net/Sumanth_077/status/2039332313910383043#m
→ View original post on X — @sumanth_077, 2026-04-01 13:22 UTC
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GitHub Repository: LLMs from Scratch by Sebastian Raschka
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Github Repo: github.com/rasbt/LLMs-from-s…
→ View original post on X — @sumanth_077, 2026-04-01 13:21 UTC