MaxText config reproduces OLMo 3 7B on TPUs

24 09 2026
MaxText config reproduces OLMo 3 7B on TPUs

This is the MaxText configuration for reproducing OLMo 3 7B pre-training on Google Cloud TPUs. It covers stage 1 and stage 2, matching AI2's reference run on 5.93 trillion tokens. The setup uses JAX/XLA and a specific data pipeline to replicate the PyTorch training curve.

It is valuable if you want to verify that a PyTorch recipe translates faithfully to TPU hardware. The catch is that it requires access to Google Cloud TPUs and the specific OLMo 3 data mix. It is not a generic GPU tutorial, but a concrete validation of MaxText's numerics against a known baseline.

more: https://developers.googleblog.com/reproducing-olmo-3-7b-pre-training-in-maxtext-case-study-of-large-scale-training-on-tpus/

my other side: ivo.blogspot.com





Migrating MuJoCo Simulation to GPU Batches

24 09 2026
Migrating MuJoCo Simulation to GPU Batches

This guide walks through migrating an SO-101 robot arm simulation from standard CPU-based MuJoCo to MJWarp, which runs on NVIDIA GPUs. It batches 2,048 parallel environments using NVIDIA Warp kernels, allowing large-scale simulation steps without moving data off the device.

It is useful if you are scaling reinforcement learning workflows and need raw simulation throughput rather than single-step precision. The migration requires writing custom CUDA-centric logic and does not cover policy training, so it is strictly an infrastructure setup task for developers comfortable with GPU programming.

more: https://huggingface.co/blog/nvidia/how-to-use-nvidia-warp-and-mjwarp

my other side: ivo.blogspot.com





GoLive skill deploys agent apps to real infrastructure

24 09 2026
GoLive skill deploys agent apps to real infrastructure

This npm package installs a skill for Codex or Claude Code that takes your local app live. It handles hosting, database, auth, domain, email, and payments on your own accounts. The current alpha covers Vercel, Netlify, Supabase, Neon, Porkbun, GoDaddy, Resend, and Stripe test mode.

It is worth trying if you use a coding agent that supports skills and want to automate the post-build setup. The catch is that it is an early alpha, so you must verify the results yourself. It is not a hosted service or a replacement for manual configuration of unsupported providers.

more: https://github.com/mikehasa/golive-skill

my other side: ivo.blogspot.com





Caffeine Lowers Deep Sleep Even With Normal Hours

23 09 2026
Caffeine Lowers Deep Sleep Even With Normal Hours

A recent study using EEG found that caffeine consumption reduces the depth of slow‑wave sleep, the brain’s restorative phase, even when people still sleep the same number of hours. The researchers measured electrical activity in the brain and observed less slow‑wave activity after caffeine intake. The reduction occurs despite no obvious change in how long people stay asleep or how often they wake.

This suggests that people who drink coffee, especially late in the day, might not feel as rested even if they think they’re getting enough sleep. The effect varies among individuals and depends on dose, timing, and metabolism, so the findings don’t apply uniformly. Those who rely on caffeine for alertness should consider how it might affect the quality of their overnight recovery.

more: https://www.sciencedaily.com/releases/2026/09/260922005719.htm

my other side: ivo.blogspot.com





Bird feeding lifts well‑being

23 09 2026
Bird feeding lifts well‑being

A Virginia Tech‑led study found that 95% of participants reported a positive effect on their well‑being from feeding and watching birds, compared with 55% for other life events. The research used a standard mental‑well‑being questionnaire over a six‑month period and asked respondents to reflect on how the activity influenced them. The authors identified three key pathways: emotions, engagement, and a sense of meaning.

The results suggest that a simple, low‑cost activity can boost mood and reduce stress for many people. However, the study relies on self‑report from volunteers who already enjoy birdwatching, so it may not apply to the general population. Anyone who wants to feed birds should still follow best‑practice guidelines to minimise risks to wildlife.

more: https://www.futurity.org/feeding-birds-can-make-you-feel-better-3345882/?utm_source=rss&utm_medium=rss&utm_campaign=feeding-birds-can-make-you-feel-better-3345882

my other side: ivo.blogspot.com





cleanupper CLI for safe macOS disk cleanup

23 09 2026
cleanupper CLI for safe macOS disk cleanup

This Node.js tool scans your Mac for rebuildable files like Xcode DerivedData, npm caches, and browser logs. It moves these items to the Trash rather than deleting them, ensuring nothing is permanently lost. The installation requires Node.js 18 and runs entirely locally without network requests.

It is a useful alternative for developers who want to reclaim gigabytes without trusting a graphical suite. The main limitation is the dependency on Node, which may be unnecessary for some users. Avoid it if you need to clean system-level directories outside your user home folder.

more: https://github.com/SewCabinSpout/cleanupper

my other side: ivo.blogspot.com





K16s runs real kubeadm Kubernetes exam clusters

23 09 2026
K16s runs real kubeadm Kubernetes exam clusters

This self-hosted simulator provisions a full kubeadm cluster using Incus LXC containers as worker nodes. It supports three deployment modes: a disposable Lima VM on your laptop, a lightweight Docker kind setup, or a direct VPS install with 4 vCPUs and 8 GB RAM. Each mock exam question includes an automated setup script and a validator that grades your fixes against live cluster state.

It is worth trying if you are preparing for CKA or CKS and need practice with systemd and crictl on real nodes. The main catch is that AppArmor testing and specific worker node debugging are unavailable in the lightweight Docker mode, so you should use the VPS or laptop VM options for a complete experience.

more: https://github.com/immanuwell/k16s-exam-simulator

my other side: ivo.blogspot.com





Foremerge coordinates parallel coding agents above Git

23 09 2026
Foremerge coordinates parallel coding agents above Git

Foremerge is a pre-1.0 CLI and MCP server that adds an intent layer to Git. It lets multiple agents declare semantic changes before editing, using a local SQLite store to detect conflicts like replacing a class while another extends it. The setup involves installing the tool and wiring it into clients like Claude Code or Cursor.

The deterministic conflict detection is useful for catching logical overlaps that standard Git merges miss. However, the schema is still unstable, there are no published benchmarks, and it does not support coordination across different machines. It is not for teams needing distributed state or hard file locks.

more: https://github.com/naw103/foremerge

my other side: ivo.blogspot.com





Knife static binary analysis CLI in Rust

23 09 2026
Knife static binary analysis CLI in Rust

Knife is a standalone Rust CLI for static binary analysis of PE, ELF, and Mach-O files. It combines header parsing, strings extraction, and disassembly into a single tool that recovers functions from stripped binaries using exception directories. The audit command specifically flags dangerous call sites where argument provenance suggests potential bugs like integer underflows.

This is a solid alternative to juggling five separate tools if you need to triage untrusted binaries quickly. However, it is strictly static and will not help with dynamic debugging or network traffic analysis. The analysis depth depends on the quality of the binary's metadata, so heavily obfuscated or packed targets may not yield much insight.

more: https://github.com/bl4ckr0ss3/knife

my other side: ivo.blogspot.com





Pentest Harness for AI Security Testing

23 09 2026
Pentest Harness for AI Security Testing

This is a dark-mode web UI for running authorized penetration tests with multiple LLM providers. It uses a plugin architecture to manage shell access, web research, and durable session states. You bring your own API keys for any OpenAI-compatible model.

The setup is straightforward if you have Node 20 and pnpm installed. It requires explicit authorization for every engagement, so it is not for casual curiosity. The interface is dense and assumes you know what you are doing.

more: https://github.com/S1N6H/pentest-harness

my other side: ivo.blogspot.com