828 stories
If you run AI coding agents for hours at a time, the question is where the work runs and how you get back to it. Several tools cover this now, with different answers. Here is a short map. Disclosure: I am on the Clusto team, so weigh this accordingly.
Somewhere in your finance or ops team, someone is opening a bank statement PDF right now and typing numbers into a spreadsheet by hand. Maybe it is a reconciliation task. Maybe it is a lending application, and a human is scanning twelve pages of transactions looking for red flags.
I built a role-play game with LLMs and expected werewolves on spaceships and in abandoned castles. Some players had a different idea. What happened I have a little Werewolf text game with LLMs. With a caveat - there is a role-play.
Translation APIs increasingly expose more than a single translate endpoint. Microsoft’s 2026 Translator migration guide documents a choice between neural machine translation and a supported LLM by request.
Creating videos regularly can become time-consuming when every project requires scripting, planning, visuals, captions, voice, and formatting. A tool like Text to AI Video Generator can help organize several of those steps in one place, making the workflow easier for creators who want to move from…
Agenci AI to więcej niż narzędzia. Widzę w nich potencjał do prawdziwej współpracy, gdzie algorytm nie tylko wykonuje, ale też inicjuje, zaskakuje. To nowe terytorium dla kreatywności, gdzie granice "autorstwa" się zacierają, otwierając drzwi do nieznanych form sztuki i myśli.
The taxi and ride-hailing industry is becoming increasingly technology-driven. Traditional taxi booking systems are now being enhanced with artificial intelligence (AI) to improve route planning, pricing, driver allocation, customer support, and overall operational efficiency.
Catatan proses membangun agent yang menghubungkan observasi, investigasi, tindakan, follow-up, outcome, dan memory. Awalnya saya tidak punya ide yang terlalu rumit untuk project ini. Saya hanya ingin membuat sesuatu yang terasa lebih dekat dengan penggunaan AI di dunia nyata.
Introduction Computers cannot read words. They only understand numbers. A word embedding turns a word into a list of numbers. Python example model = api.load("glove-wiki-gigaword-50")
Financial applications often contain a lot of data, but more data does not automatically make a product easier to understand. Credit information is a good example. A credit profile can contain accounts, balances, payment information, utilization, dates and enquiries.
The associative half is easy to show in a few lines of Python. Store each note with the concepts it is about, count how often two concepts are written together, and let a read follow the strong pairs, so a question about timeouts brings back a note about backoff that never mentions a timeout.
I run Postservice.at with the help of a small team, a business address and mail service in Vienna with more than 1,000 customers. I'm a founder, not a developer.
Built for the TigerGraph Agentic GraphRAG Hackathon. Repo and dashboard linked at the end. RAG retrieves text. GraphRAG adds structure. Agentic GraphRAG lets a model plan its own investigation. Everyone assumes the third one is better — but by how much, and on which questions?
If AGI is here, where are the world-changing economic results? People usually point to AI hallucinations or stubborn resistance to new technology. I think the unit of analysis is wrong. Humans already possess general intelligence. A large company employs thousands of them.
A Gold Trading Bot is more than an automated buy-and-sell tool. This article explores how price data moves through signals, decision logic, risk management, execution, and position monitoring to become an automated trade.
When someone searches for a coupon, they want a discount they can actually use. That’s the problem I’m working on with CouponLab. Finding codes is part of the work. Trying them and figuring out whether they’re useful is the part I care about most. A page full of offers can look useful.
On 18 June 2026, an internal OpenAI model under evaluation got past repeated refusals on Services Australia's Medicare Statistics Reporting Service and accessed non-public files. OpenAI told the government 84 days later.
Disclosure: I work on NeuralSound, one of the three tools tested here. The method, the raw numbers and the caveats are all below, so you can judge them yourself or rerun the test. Every AI vocal remover says it's "studio quality". Almost none of them publish numbers.
Showing 774 of 828 stories
Load more storiesGet the top AI news and tools straight to your inbox every week.
Weekly · AI news from Dev.to AI
Join 15,000+ AI enthusiasts
