Claude plugin for coding context, sales teams replaced by agents, and xAI's 2 GW power needs
Yesterday, Unsloth released a tool for 2x faster LLM fine-tuning, using 70% less VRAM. This directly impacts iteration speed and compute spend for builders. Separately, new research explains why LLMs miss basic prompt instructions, a critical lesson for designing agentic systems that actually work.
xAI is expanding its Colossus supercomputer with a third building, "MACROHARDRR," aiming for nearly two gigawatts of power and over one million GPUs. This multi-billion dollar investment boosts xAI's training capacity but forces them to build a natural gas plant due to massive energy demands.
Read full story→Analysts expect 2026 to see major AI IPOs, with Anthropic and OpenAI potentially debuting publicly. These could collectively surpass hundreds of prior US offerings. SpaceX is also reportedly in the mix, alongside three Chinese tech giants planning $1B+ Hong Kong IPOs.
Instagram CEO Adam Mosseri declared the 'intimate feed' dead, stating users 'can’t necessarily trust what you see anymore' due to AI. This marks a fundamental shift in digital authenticity assumptions, requiring new verification UX.
A new book teaches how to build a deep learning library from scratch, focusing on an autograd engine and layer modules using only NumPy. You'll create a custom library capable of training models like MNIST, simple CNNs, and simple ResNets.
Imprint details their internal AI agent workflows, sharing methods for context window compaction via summarization, structuring subagents for specific tasks, and using a virtual file system (VFS) for state management. They advocate a 'build to throw away' method for learning.
At 70M, many transformer variants cluster tightly; recipe and data dominate. New research shows a diffusion model, Dhara-70M, sacrifices 1.33% accuracy (on specific benchmarks) for a 3.8x throughput boost and superior factuality (measured by a specific metric).
SaaStr founder Jason Lemkin states, 'We replaced our team of 10 Sales Execs with 20 AI Agents, managed by 1.2 humans.' He discusses effective AI tools for sales and predicts most SDRs/BDRs will be obsolete within a year.
Unsloth claims up to 2x faster fine-tuning with ~70% less VRAM on supported runs for popular LLMs like Llama, Gemma, Qwen, DeepSeek, and OpenAI gpt-oss.
Claude-mem is a Claude Code plugin that captures tool calls, diffs, and summaries during coding sessions. It compresses this data using Claude's agent-sdk and injects relevant context into future sessions, creating a persistent memory. Implement filters, allowlists, or redaction for secret hygiene.
NVIDIA's DeepLearningExamples repository offers deep learning scripts. Pick one model, run the reference script on your target GPU, capture throughput and accuracy, and use it as a baseline for optimization and vendor comparisons.
Tasker is a free, open-source desktop agent for browser automation. It records actions or takes plain English descriptions, using AI to adapt to website changes and run locally for privacy. It is still brittle on heavy JS apps, CAPTCHA, 2FA, and anti-bot.