AIabout 5 hours ago
I Let AI Plan 170 Changes. It Made the Same 3 Mistakes Every Time.
Everyone is arguing about which model plans best. I ran 170 goals and found out the model was never...
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60articles · curated from global AI & Data Engineering sources
AIabout 7 hours ago
An MI300X Over MCP: What the Matrix Cores Execute, and What They Don't
One AMD Instinct MI300X on AMD Developer Cloud, managed entirely through a tag-scoped Python MCP server, with every figure read off the card rather than a spec sheet. fp8 e4m3fnuz runs 1.77x bf16; int8, which AMD rates identically to fp8, runs 0.69x; fp4 is not on this silicon at all. One droplet, $1.99 an hour, and two readings that were wrong the first time.
AIabout 13 hours ago
A 4 GB Laptop GPU Beats a 12-Core CPU by 4.3x on Gemma 4
Serving Gemma 4 E2B q4_0 through llama.cpp on one laptop, twice: CPU-only and on a 2021-era 4 GB GTX 1650 Ti. Same GGUF, same binary, same prompts, one flag apart. The card takes decode by 4.3x, and needs only 1598 MiB to do it.
AIabout 19 hours ago
Build real-time voice applications with Gemini 3.8 Live and 3.5 Transcribe
Yesterday, we released new Gemini Live models in the Gemini API and Google AI Studio, expanding our...
AI1 day ago
AI Wrote Half My Codebase. The Maintenance Bill Showed Up in Month Three.
AI made the first draft free. I treated that as the win. The bill arrived later, not in dollars, in...
AI2 days ago
The Slow and Quiet Cognitive Atrophy of a Modern Software Engineer
Over the past couple of months, I've read a lot of articles about the consequences of AI dependency...
AI2 days ago
My Agent's Tests Were Green Because the Model Learned to Cheat
If your AI reviewer says "pass" every time, you didn't build a reviewer. You built a rubber...
AI2 days ago
AI Didn't Remove the Engineering Work. It Just Made It Easier to Pretend You Did.
On September 15, India — along with Sri Lanka and Tanzania — celebrates Engineer's Day, marking the...
AI2 days ago
Learning neural networks through mental models
For a while, I understood neural networks mostly mechanically. Data entered the network, passed...
AI3 days ago
What Happens When AI Outgrows the Tests We Use to Measure It?
TL;DR GPT-6 Astra has started another familiar AI conversation. The model is more capable, Jensen...
AI3 days ago
AI Avatar v20, Cursor Avatar, Notification Avatar (Voxel Avatar)🧊
Intro AI Avatar is a free app where your VRoid (VRM) avatar cheers you with all its...
AI4 days ago
My Comment Section Designed My Next Experiment. Then It Made Me Freeze My Predictions.
Ten days ago I published an article about a failure mode: tell a language model "a scanner flagged...
AI4 days ago
Vibe Coding Isn't the Problem. Calling It Engineering Is
Let's Address the Elephant in the Room Again Vibe coding has always been a weird topic to...
AI5 days ago
4,768 LLM Runs, Zero Lost Sweeps: Hardening a Field-Test Runner for Timeouts, Hangs, and Cost
Update — v0.3.0 released. CauterRule is now live on GitHub and PyPI. It turns repeated agent...
AI5 days ago
Our Recall Was 0.087 and the Model Was Innocent: How Domain-Scoped Replay Doubled It
Update — v0.3.0 released. CauterRule is now live on GitHub and PyPI. It turns repeated agent...
AI5 days ago
I built an epistemic gate to stop LLM data poisoning during fine-tuning. Tested across 5 architectures, orchestrated on a 2006 Toshiba laptop for $0.
Hi everyone, For a long time, the AI industry has pushed the narrative that advanced safety research,...
AI6 days ago
Most AI "Reasoning" Traces Are Just the Answer, Written Backwards
You've probably watched an AI think through a problem step by step, nod along with the logic, and...
AI6 days ago
Your agent's confirm token is one-shot. Your write still happens twice.
A production bug I shipped, why the obvious fix was incomplete, and what actually closes it. ...
AI7 days ago
AI Is Already Better at Coding Than Most Software Developers
...but let me say this right away: coding was never the most valuable part of software...
AI7 days ago
I Shipped a Fix That Fixed Nothing. Here's Why I Kept It.
Update — v0.2.0 released. CauterRule is now live on GitHub and PyPI. It turns repeated agent...
AI8 days ago
4 pitfalls of loop engineering (and how to fix them)
Perhaps you've heard the term Loop Engineering: instead of solving a problem by hand, you build a...
AI8 days ago
I Built a Production Grade ML Candidate Ranking System
The Challenge Three months ago, I participated in the Redrob India Data & AI...
AI8 days ago
I let AI write 100% of my code for 30 days. Here's what broke.
Not "AI-assisted." Not "copilot suggestions I edited." I mean I made a rule: for 30 days, I don't...
AI8 days ago
Fine-tuning a content-moderation model on a laptop is easy. Trusting the result is not.
I fine-tuned a small language model to sort messages into safe or unsafe, the kind of check a...
AI9 days ago
The $2,000 Inference Server: Standing Up Local AI on Ten-Year-Old Hardware
I run a local inference server that handles thousands of agent requests a day. It cost about $2,000...
AI9 days ago
Has AI Made You A Lazier Developer? Be Honest.
Haven't you ever wondered if this AI vibe coding has made us lazy? Who's been solving problems on...
AI9 days ago
Your Agent Remembered the Fact. It Answered Like a Stranger.
A memory system can return the exact fact a request depends on whenever that fact is named, and still...
AI9 days ago
Most 'AI Agents' Are Just If-Statements in a Trench Coat
I built an agent last year, and I was proud of it. It had a planner. It had tools. It had a...
AI9 days ago
The 6-Line Fix That Outperformed My Entire Matcher Week
Update — v0.2.0 released. CauterRule is now live on GitHub and PyPI. It turns repeated agent...
AI10 days ago
Your system prompt isn't instructions. It's data.
Four measured findings from tuning a 31B model's 680-line system prompt, including the six rebuilds I wasted on a bug that never existed.
AI10 days ago
Building 3 AI Agents on a $0 Budget: What I Learned About Tool-Use, RAG, and Code Execution
Why I built this I'm a CS graduate preparing for a Data Science/AI master's application,...
AI10 days ago
From AI Solutions to Shared Knowledge: Building an MCP for the Community
This is a submission for the Weekend Challenge: Generosity Edition Don't Just Ask AI. Give the...
AI11 days ago
Inside the Memory Decision Loop: How AI Agents Decide What to Remember, Update, or Forget
Most people who add "memory" to an AI agent do the same thing: embed every message, throw the vector...
AI11 days ago
Beyond Vibes: Architecting Closed-Loop AI Agents with Local SLMs, Deterministic Evals, and Human Learning Loops
How to build a production-grade drafting agent on local SLMs (Llama 3.2 3B) using deterministic Python verification, tri-state guardrails, QWK-calibrated evals, and continuous few-shot learning.
AI11 days ago
It Fit in Memory and Was Still Unusable — Do the Bandwidth Arithmetic First
A 15GB model loaded fully onto the GPU and generated at 5.6 tokens per second. The theoretical ceiling was 8. Capacity and throughput are set by different resources, and the obvious fix for a tight fit — shrink the model — barely moves the one that matters. One division tells you which lever works.
AI11 days ago
When Your Benchmark Finally Tells the Truth
Update — v0.1.0 released. CauterRule is now live on GitHub and PyPI. It turns repeated agent...
AI11 days ago
Speculative decoding won't change your model's distribution. It might still change your output.
There's a thread on the DeepSeek-R1 model page that's been sitting unresolved since March last year,...
AI11 days ago
Markov Chain Monte Carlo: the 1953 algorithm hiding under modern AI
Hello, I'm Maneshwar, and I'm building LiveReview — a blast-radius aware AI code review built for...
AI12 days ago
Can Your AI Use What It Remembers?
An AI can recall a fact when asked and miss it when it matters. InMind separates retrieval from application—and suggests a better way to test agent memory.
AI14 days ago
My Thermostat Was Speaking an Industrial Protocol. Just Not to Me.
A senior software engineer who knew nothing about hardware, a BACnet MS/TP thermostat, and an RS-485 bus. How I ended up with an ESP32-S3 gateway on a DIN rail, wired into Home Assistant, in 15 evenings.
AI14 days ago
Ollama vs vLLM for Concurrent Inference: How to Choose the Right Server
Choosing between Ollama and vLLM is not simply a matter of asking: Which inference engine is...
AI14 days ago
Forensic Receipts: From Trusted to Proven
Part 6 of the Building the AI Memory Stack series At the end of the last article, I left one...
AI14 days ago
AI-assisted genealogy
My son recently came to me to brag about using AI to find our ancestors. While the results were...
AI14 days ago
20 Agentic AI Terms Every Developer Should Know (Explained Simply)
Do you ever feel like the AI world has moved forward a little too quickly? You hear about...
AI14 days ago
I Tried 4 Models to Save My Self-Improving Agent. All 4 Failed.
Previously: 9 Bugs That All Looked Like a Working System · I Built an AI That Rewrites Its Own...
AI15 days ago
What do you build when you can build anything?
My hot take is: Telling people that they have to build endlessly is very, very, very bad advice. If...
AI15 days ago
My AI Gateway Added 400ms to Every Request. Here's Where It Went
If your AI application suddenly becomes 300–500ms slower after adding an AI gateway, the first...
AI15 days ago
Agents That Act Need Brakes, Not Just Brains
Here's the moment a lot of us had this year. You built an agent. It was genuinely impressive — it...
AI16 days ago
I tested Claude Code's memory against mine. They are not doing the same job.
Proof over claim Last time I described the hour a platform shipped the feature I had spent months...
AI16 days ago
Three Gemma 4 Deployments on One T4G for Under $3: What the Runtime Changes, and What It Doesn't
vLLM, JAX and PyTorch serving the same Gemma 4 E2B checkpoint on the same AWS G5g GPU, on one harness and one statistic. The decode ranking reverses on boot time. Nineteen instances, four and a half instance-hours, under $3 - which is what let five wrong claims get caught.
AI16 days ago
I Built an AI That Rewrites Its Own Prompts — Its Safety Gate Rejected Every Single Edit
AgentSelfEdit is an open-source sidecar that rewrites its own system prompt from execution feedback....
AI16 days ago
Streamline Publishing with a Claude Code Skill
A Claude Code skill that turns one markdown file into dev.to, AWS Builder Center, Medium and LinkedIn versions, checks them before they ship, and posts the ones with an API — plus the debugging tools for when a destination mangles something.
AI16 days ago
What happens to technical debt when AI makes code cheap?
Dear past Jenna, I know you're used to dealing with large, complex, legacy codebases riddled with...
AI16 days ago
My Mac Is Useless for Local AI. My Windows Laptop Isn't.
I own two laptops. A 2020 Intel MacBook Air, 8GB RAM, no unified memory, gifted by my sister. And a...
AI16 days ago
Building With AI When You Don't Know Architecture: A Survival Guide
Let me describe a moment you might recognize. You had an idea for an app. You didn't know how to...
AI16 days ago
9 Bugs That All Looked Like a Working System
AgentSelfEdit is an open-source sidecar that rewrites its own system prompt from execution feedback....
AI17 days ago
My DSPy pipeline compiled beautifully and got worse in production
I love the DSPy idea. You stop hand-editing prompts and let the compiler optimize them for you...
AI17 days ago
My LLM Critic Flip-Flops on Every Run. That's Fine — Because a Frozenset Decides What's Fatal.
This is a companion to the PlannerCritic series. Article 2 was about a specific critic bug. This one...
AI17 days ago
g5g vs g6 for LLM Serving: the Same Code, and 3.7x the Throughput
Serving Gemma 4 E2B in pure JAX on AWS g5g.2xlarge and g6.2xlarge with a byte-identical payload. The older instance loses 87% of decode to dtype conversion, and nothing in the logs says so.
AI17 days ago
Gemma 4 in Pure JAX: What Changes Between Turing and Ada, and What Doesn't
One hand-written Gemma 4 port, no PyTorch and no vLLM, on two NVIDIA GPUs a generation apart. Most of it ports untouched. Two things do not, and one of them was quietly eating 87% of decode.