144 stories
I run a swarm of AI agents that call LLM APIs all day. One night a retry loop went haywire and burned through 3 days of budget in two hours. I didn't find out until the invoice email the next morning.
A protein-by-protein bias table for BCA, Micro BCA, Modified Lowry, Bradford and Bradford Plus, built from the vendor's own response ratios, plus an A280 column computed from UniProt.
The T1d speaks its own Bluetooth LE protocol instead of HID, so no OS sees it as a gamepad. A Python bridge turns it into a virtual Xbox 360 pad, with calibration for worn sticks.
A polyglot docs site attempts to combine the outputs from multiple docs generators into a cohesive whole. There isn’t really a great way to do this, yet.
Is this the JEV killer? The post A Practical Guide to OpenAI's New Decisions API appeared first on Towards Data Science.
Every AI agent SaaS I've built needed the same foundation before a customer could pay for it. I rebuilt it several times before I stopped. Here's the checklist I wish I'd had the first time, with the code that matters for the two items people most often get wrong.
I won a $7,000 hackathon prize. The payout form offered me Wise. Wise's own help page says that personal accounts with an address in Indonesia "can no longer hold money or currencies in their account." That is the kind of mistake I built Cair to prevent: an agent that plans how a prize or client…
Python 3.15.0 added to actions/python-versions Bit of a niche link, but I've been waiting for this for a couple of days - I even told ChatGPT to check for it: Clone https://github.com/actions/python-versions and git pull once an hour until they add the stable 3.15 - then tell me about it Now that…
Building a robust airdrop monitor is no longer just about scraping Twitter or Discord; it requires semantic understanding to filter out noise from genuine, high-value opportunities. Traditional keyword-based bots often trigger on false positives, such as "airdrop" used in a meme context.
I'm a computer engineering student in Manaus, Brazil, and for my research project I've been building ANCHOR, a web automation agent: you describe a task in plain language ("Register Maria Silva, IT department, contractor, accept the terms and save"), and it runs the task in the browser.
Lifeguard is a static analyzer to detect Lazy Imports incompatibilities and ease the adoption overhead for Lazy Imports in Python - facebook/Lifeguard
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MCP just got simpler. Learn how to build a stateless MCP server in Python and expose tools, resources, and prompts over HTTP.
Building an automated airdrop monitor requires more than simple script automation; it demands real-time intelligence to sift through noise on decentralized networks. Traditional cron jobs often miss ephemeral opportunities or fail to assess eligibility criteria dynamically.
Building a Telegram Bot for AI Video Generation: Architecture and Lessons Learned After months of building and iterating on a Telegram-based AI video generation platform, I want to share the technical architecture, challenges encountered, and lessons learned.
NVIDIA researchers introduced PivotOPD, an on-policy distillation method that trains multi-turn LLM agents to avoid early pivotal mistakes and recover from them, posting the best average against 13 baselines on 3 agent benchmarks.
I've always been kind of into computers since I was young. And then when film started to move from analog film to digital, I became more interested in that aspect of it. And the visual effects workflow for many years has included machine learning.
Automating yield discovery in DeFi is no longer just about scraping CSVs; it’s about interpreting risk, liquidity, and historical volatility in real-time. Traditional static spreadsheets fail when market conditions shift rapidly.
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