Auto-aggregated global tech articles · 853 posts
The famous American philosopher Smashmouth once said that the years start coming and they do not stop coming. If you follow the artificial intelligence industry, you have never felt the weight of those words more deeply than right now. For years, science fiction fans have watched Tony Stark talk to
Colleges ask for GenAI workshops and get slide decks about the history of neural networks. Students should leave a workshop with something running that they built, and a way to tell whether it works. This is the one-day plan I deliver, sized for 30 to 60 students with laptops. Prerequisite
Preface this by saying I have moral scrupulosity/ social judgment-related OCD, so there’s that lol I see people on here still writing their code by hand; at my company we do not have that option unless we outright defy orders from our boss, which I assume would get you fired. I get a lot less satisf
Two kinds of control planes dominate the 2026 platform tooling landscape. An internal developer platform — Backstage, Port, Cortex, OpsLevel — holds the catalog: what services exist, who owns them, how they depend on each other. And, increasingly, an AI agent governance layer — MCP gateways, model g
First-years arrive with two things: enormous energy and no map. Most mentoring wastes the first by failing to provide the second. After mentoring 200+ students through TechVerse Enclave and speaking to a full hall of first-years at the VSICS BCA Induction, here is what I have found actually moves th
Q&A is where I learn the most as an evaluator, because a team's answers reveal what the demo hid. Teams that prepare for these questions look like engineers; teams that improvise look like they got lucky. Prepare all fifteen; you will be asked five. About the demo Which part of wha
A few months ago, I wrote about a feeling I still have today: AI models, and especially coding agents, no longer give me the same sense of huge leaps that they used to. I am not saying they are not improving. Newer models usually make fewer mistakes, follow instructions better, and sometimes solve
An AI health companion that answers — and places — phone calls in Hindi and English, built on LiveKit and Murf Falcon over ten days of shipping one feature at a time. By Siddharth Agarwal · Health Access track, 10-day voice-agent build · github.com/siddharthagarwal1983/sid-voice-for-bharat
Nvidia is reportedly finalizing a massive investment in Nscale, a British artificial intelligence cloud provider. This funding round aims to raise $3.5 billion as the startup prepares for a public stock listing. The deal highlights a growing trend where chip suppliers provide the capital their custo
If you're building AI applications, you've probably heard about prompt injection attacks. Users sending things like "Ignore all previous instructions" or hiding malicious payloads in Base64 to bypass your filters. I got tired of seeing the same vulnerability in every LLM app, so I built a simple API
Most prompts fail not because you forgot a magic phrase but because you are driving a probabilistic sequence model with a brittle text interface. The prompt becomes tokens, gets embedded, passes through attention layers with position dependent biases, and decodes token by token under sensitivity to
I built FineTune Studio after making most of these mistakes on my own runs. They are not exotic. They are the difference between "I fine-tuned a model" on a resume and "I fine-tuned a model and here is what improved by how much". The mistakes No baseline. Not running the base model on
The first version of an agent usually has one place for context: the prompt. The user request goes in. Conversation history goes in. Tool results, preferences, account details, retrieved documents, and generated files follow. The agent appears to “remember” because every useful fact is repeatedly p
Code audits, performance work, feature planning, and product research, with an installable workflow skill. Theo shared six ways he uses Astra: code cleanup, performance work, agent setup, PR and issue triage, merging, and taking over stalled work. I wrote a prompt for each and added nine for other
I wrote it together with an AI agent: I set the structure, the agent drafted, and I checked and rewrote the final text. The review agent that quadrupled my code I asked an agent to implement a feature. It should have been about 1,000 lines. When I looked again, it was over 4,000. The i
Microsoft's threat intel team flagged something last week that should've been obvious in hindsight: spammers are now using ASCII smuggling in email campaigns. Not AI red-teamers. Not prompt injection researchers. Actual spam operators, using a technique that, until recently, mostly showed up in conf
Opening a folder shouldn't be a code execution vector. And yet here we are: an AI coding agent runs git status to "understand your project," and that alone is enough to hand an attacker a shell as you, with no prompt, no approval, no sandbox escape needed because you were never in a sandbox to begin
Every agency has put a chat bubble on a client's site and then watched what happens to it. The client is a six-person firm. Nobody is assigned to the inbox. A visitor types "do you do Saturday appointments?" at 21:40, gets "an agent will be with you shortly", and leaves. On Monday somebody notices t
This month a developer ran a working language model on a Sony PSP-2000. That is a 333 MHz MIPS handheld from 2007 with 64 MB of RAM, and it is streaming English text onto its LCD at one to two tokens per second. The model is Karpathy's stories15M, int8-quantized down to about 17 MB, running on rough
Declare tools Only When Narrowing an APX Agent An agent definition should describe a durable role without freezing a temporary snapshot of the runtime around it. That is why APX treats an omitted tools field differently from a declared list. The rule is small: omit tools when the agent should inh
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