AI1 day ago
Teaching Google Antigravity to Paint: A Stateful Image-Editing Skill Built on Gemini's Interactions API and MCP
How nb2lite-skill-agy packages Google's gemini-3.1-flash-lite-image as an Antigravity skill + MCP server — with multi-turn stateful edits, a simple install guide, and a dogfooded cover image.
AI1 day ago
'World Models' Will Be the Next Buzzword. The Man Saying That Just Raised $1B to Build One
In March, the CEO of a research lab with zero products closed a $1.03 billion seed round — the...
AI1 day ago
Hetzner Inference: First Look
Hetzner is experimenting with LLM inference. That is not a sentence I expected to write, but I think...
AI2 days ago
The Dirty Secret Behind AI Agents (Demo 🚀)
For quite a while now, I've had the feeling that AI agents are surrounded by this mystical aura....
AI2 days ago
Put the LLM last: I replaced a 7B model with a tiny Go classifier
Most production AI tasks are not LLM tasks. I replaced a 7B model with a tiny 2.4 MB Go classifier: rules first, small model, LLM last.
AI3 days ago
The Friction Is A Feature, Not A Bug: Teaching and Mentoring in the Age of AI
Those who have been following me for a while will know that teaching and mentoring are a Big Deal™️...
AI4 days ago
New Gemini models dropped
https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-6-flash-3-5-flash-lite-3-5-flash-cyber/
3.6...
AI4 days ago
You can build it. Should you?
I've spent my career helping people build software. This is a series of letters about what happens...
AI4 days ago
Snowflake Cortex, Explained Like an AI That Lives Next to Your Data
The first time I bolted AI onto a data warehouse, the plan looked reasonable on a
AI5 days ago
Gemma 4 E2B on a Single TPU v6e Chip: A Serving Deep Dive
What it took to deploy, why the QAT checkpoints refuse to load, and what one flex-start v6e chip is actually worth — measured live.
AI5 days ago
Gemma4 DevOps In Action
In the last entry I got Gemma-4's 128-expert MoE running on an inf2.24xlarge and signed off with...
AI5 days ago
AI And Code Ownership: Who Is Responsible For Generated Code?
Imagine your AI assistant just produced 200 lines of code. Legally, you may not own a single line of...
AI5 days ago
'Local' Solves Where Your Data Goes. It Doesn't Solve What Your Agent Does
Running an agent on your own hardware fixes data sovereignty and nothing else. Prompt injection, silent provenance failures, and privilege escalation all survive the move to local. Here's where local agents are genuinely safe to deploy in 2026, and where 'local' is just a comforting word.
AI5 days ago
My Release Gate Passed. The Model It Shipped Answered 'Neutral' To Everything.
I trained a model that scored 4 percentage points better than the one I ship. It's gone. I deleted it...
#debugging#machinelearning#nlp
AI6 days ago
It Fits and It Benchmarks Well. Will It Do Your Job?
Fit calculators check memory. Leaderboards check general skill. Neither checks your task. Measured results for local quants on two machines, reproducible from raw outputs.
AI6 days ago
I built an AI dev harness that isn't allowed to trust itself
Scope note (read first): this describes a system I built and operate to develop an unannounced game....
AI6 days ago
I built an AI dev harness that isn't allowed to trust itself
Scope note (read first): this describes a system I built and operate to develop an unannounced game....
AI7 days ago
Your AI Gate Works Perfectly — Until You Switch Models
In the previous article I wrote: "Mechanizability-scanner. Building this next." And: "Cross-model...
#ai#machinelearning#python
AI8 days ago
My Inferentia port matched its reference token-for-token — and still output garbage
Porting Gemma-4 31B (dense) to AWS Inferentia2: the tensor-parallel recipe that worked at 12B collapses at 31B, NxD ModelBuilder saves it — and then a passing validation lies to your face.
AI8 days ago
Instrumenting an AI-Powered GitHub Analyzer with OpenTelemetry and SigNoz
This article is my submission for the Agents of SigNoz Hackathon: Blog Track, where participants...
#opentelemetry#signoz#observability
AI8 days ago
Retrieval-Augmented Self-Recall: The RAG Problem Nobody Talks About
Part 1 of Retrieval-Augmented Self-Recall — the research track behind Claude Code, Beyond the Prompt....
AI9 days ago
What is an "agentic harness," actually?
I've been hearing the word "harness" thrown around a lot lately. I assumed it just meant "the IDE" or...
AI9 days ago
Every AI-Generated Line of Code Is a Small Loan — And Eventually, You Have to Pay It Back
A bug showed up in my personal project last month. Nothing dramatic - a value wasn't updating the way...
AI9 days ago
Claude might be saturating your machine
My laptop was sitting idle with the fan at full tilt. Nothing was running that I knew of. The culprit...
AI10 days ago
Building an AI Agent That Knows When Not to Guess (Qwen + MCP)
A payment landed for exactly half an invoice's value. The payer's email matched the customer on file....
AI10 days ago
I Pre-Registered a Hypothesis. 600 API Calls Later, the Data Killed It.
A stranger on DEV.to said "run this experiment." I ran it at n=600. Here's what happened — including...
#ai#machinelearning#python
AI11 days ago
A Receipt Is Not Proof Forever. It Is a Promise to Reopen the Claim.
My memory gate passed 16 out of 16 frozen cases. Then I blocked the article. Not because the run...
#ai#security#machinelearning
AI11 days ago
I Put a Hailo 8 in a Handheld and Stopped Paying for Inference
Cloud AI is a subscription trap. I built an exit that fits in my jacket pocket and runs at 3...
AI11 days ago
8 Things Developers Confidently Explain After Watching One YouTube Video
I just got back from my vacation which, like 99% of Polish people, I spent in Croatia. Dobar dan!...
AI11 days ago
How I made a Rust hot path 27x faster, and the AI fix I refused to merge
Two years ago I open-sourced KeyEcho, a small desktop app that plays a mechanical-keyboard sound the...
AI11 days ago
RAG vs Fine-Tuning: What Actually Solves Your Problem?
When I first got involved in improving AI models for our IoT devices spread across different parts of...
AI11 days ago
I Tested 300+ Models. Then I Killed the Benchmark.
I Tested 300+ Models. Then I Killed the Benchmark. Let It Break — part 1 Tags: #ai #llm...
AI12 days ago
A Vibe Is Not a Verdict: I Built a Tool That's Allowed to Say 'I Don't Know'
My gut screamed scam. My tool said 'I don't know' — and that refusal is what actually cracked the case. An experiment in why honest CLIs beat confident ones.
AI12 days ago
Yes-Brainer — A council of LLMs that debate in the browser
Yes-Brainer is a council of AI models for the decisions that aren't no-brainers. One question fans...
#ai#productivity#opensource
AI12 days ago
The Myth of the Post-Documentation Era
There is a growing sentiment in engineering circles right now that documentation is a relic of the...
#ai#documentation#opensource
AI12 days ago
A lot of good points here https://antirez.com/news/169
antirez.com
AI12 days ago
Porting Gemma-4 (2B / 4B / 12B) to AWS Inferentia2
A field report on running Google's Gemma-4 on AWS Inferentia2: mixed attention heads, the vLLM / optimum-neuron / NxD dead-ends, and the neuronx-cc compiler limits.
AI12 days ago
Follow-Up: Decision-Token Measurement, Format-as-Fallback, and What Changed
Thanks to Dipankar Sarkar, Mike Czerwinski, Max Quimby, and Ponsubash Raj R for the detailed comments...
#ai#programming#machinelearning
AI13 days ago
Documents Aren't Bags of Chunks
One thing kept bothering me about retrieval systems: they often destroy the document before...
AI13 days ago
What is going on?
Playing the game of writing technical post was funny two years ago. Now, I am a mod and it is...
AI13 days ago
Simple Benchmark Review: Ollama on Jetson Nano
Previous Related Post: Part 1 This particular rabbit hole was created due to a previous...
AI15 days ago
I Built a Neural Gate for My AI Agent — Layer 2 of Self-Verification
File-system checks ask "did the script run?" Neural gates ask "did the constraint actually change the...
#ai#programming#machinelearning
AI16 days ago
Return on Attention: Why AI Code Reviews Are Wearing Us Out
PR volume went up, ticket quality didn't, and the gap got filled with LLMs on both sides of the review: bots reviewing, bots replying, bots occasionally arguing with bots about priorities that only existed in a teammate's head. Our CEO named the actual problem, and it's bigger than code review.
#ai#codereview#productivity
AI16 days ago
An alternative to LLM quality gates: deterministic routing + sampling
Every "agent quality gate" I tested shares one fatal assumption: that an LLM can judge whether an LLM...
AI16 days ago
I Deleted 200 Lines of Code I Didn't Write and Learned More Than When I Wrote It...
Quick note before we dive in — I know I've been off track from the iOS/Swift series lately. I just...
AI16 days ago
Your Hand-Typed Slop Isn't Honest. It's Just Slower.
A post on X last week: "The fact that people can't even reply to posts without AI anymore says a...
AI17 days ago
You Probably Don't Need a Vector Database for RAG
RAG retrieval strategies without a vector database: BM25, keyword indices, knowledge-in-bundle — and when embeddings earn their cost.
AI17 days ago
✨Cool Effects, TTS, and Fun Animations (AI Avatar v15: VS Code and Chrome Extension)
Intro AI Avatar is a completely free app that lets your VRoid (VRM) 3D avatar animate in...
AI17 days ago
The Agent Faked a Test Log, Then Believed It. Self-Editing Harnesses Have a Provenance Problem.
Reading Lilian Weng's harness engineering survey as a reliability engineer — what self-improving harness papers actually show, and the three invariants every working loop converges on.
AI17 days ago
Bigger Context Windows Didn't Make Our RAG Smarter
We stopped measuring retrieval quality by how many tokens we could fit into the prompt. When...
AI18 days ago
How I Built a Zero-Copy Rust Proxy to Stop Runaway LLM API Bills (and Survived the Docker Loopback Trap)
If you are building applications on top of foundational models like OpenAI or Anthropic, you already...
AI18 days ago
The best AI models cite retracted papers, and they cannot know it
Frontier models confidently cite prominent papers that were retracted after their training cutoff, with no idea. I measured it: they flag the famous old retractions they learned, and miss the recent ones entirely. A registry lookup is the only fix, and no smarter model changes that.
#ai#machinelearning#opensource
AI18 days ago
you stopped reading the docs. now you don't understand the systems.
I didn't go to a university for computer science. I have a B.Tech in Geophysics. What I know about...
#ai#beginners#productivity
AI18 days ago
Adding GPU backends to a pure-C TTS engine: Metal, CUDA, and the rented-Mac trick
How we bolted opt-in Apple Metal and NVIDIA CUDA backends onto a pure-C Qwen3-TTS engine — resident fused pipelines, server request-batching, and measuring it all on a Mac mini M2 rented by the hour. Plus the two 'obvious' optimizations we killed with data.
AI19 days ago
Master Local Fine-Tuning with "gemma-trainer"
Take control of your AI models with our newest skill, designed to make local fine-tuning efficient.
AI19 days ago
What breaks an AI agent after 50 clean demos
The demo ran 50 times without a failure. Then we shipped it. Three days into production, the agent...
#ai#agents#machinelearning
AI19 days ago
My Strawman Baseline Beat My Own Scheme on Half the Gate Classes
Four provenance-tracking arms, identical gates, one uncompacted oracle: measuring exactly what memory compaction does to agent gate decisions — including the preregistered hypothesis that failed.
AI19 days ago
Where Do Your LLM API Keys Actually Live?
If someone compromised one of your project's dependencies today, would they be able to steal your...
AI19 days ago
The LLM API Failure Policy I Wish I Had Before My First Production Incident
Most LLM API error handling starts out looking like normal HTTP error handling. If it is a 429,...
AI19 days ago
Why AI Still Can't Write Well and Which Half of That Problem Is Actually Yours
I built a 36-pattern checklist to catch AI writing tells in my own drafts, calibrated against...
#ai#discuss#machinelearning