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Show HN: Ceptile AI Search platform which combines web results with AI chat

I built Ceptile because I wanted a search tool that could combine the convenience of an AI answer with the ability to inspect the actual web pages behind it. A Ceptile search retrieves pages from the web, ranks the retrieved sources, and uses them to produce an answer with links back to the sources. You can open the sources and continue researching from there. I've also been building some things around the search workflow, including Notes for keeping research, translation tools, and ways to work...
🌍 TheVerge

OpenAI wants to consult elite mathematicians about how to not fumble again

After turning a string of spectacular mathematical results into a reputational crisis, OpenAI is consulting human mathematicians to help it figure out a less disastrous path forward. On Monday, the company announced a new independent panel of mathematicians tasked with advising it and other AI companies on their interactions with mathematical research and the wider […]
🌍 Dev.to

I checked the Open Graph tags on 62 homepages. Here's what's actually broken.

Open Graph tags don't affect rankings. They decide something narrower and easier to forget: whether your link renders as a card with an image, or as a bare grey link that people scroll past. I got curious about what's actually in the wild, so I fetched the homepages of 78 well-known domains and parsed every <meta> tag whose property or name started with og: or twitter: . 62 came back usable. Here's what I found, including one failure mode I had never considered. ...
🌍 Dev.to

Nine SEO checks to run before you publish a page

The problem with SEO checklists Most of them list things you can see. The real problems are the ones you can't. A missing canonical, a duplicated h1 , a meta description that gets truncated — none of these break anything. The page renders, the content is good, and you find out weeks later in a report nobody reads closely. So this is a list of checks for invisible failures. The order is deliberate: structural checks first, because fixing structure usually changes the text, and re-run...
🌍 Dev.to

ServerPilot Alternatives: CyberPanel, aaPanel, CloudPanel

ServerPilot alternatives in 2026: the short answer The three ServerPilot alternatives worth using in 2026 are CyberPanel, aaPanel and CloudPanel. Each has a free edition you install on your own VPS. ServerPilot is still alive and still works well, but it charges per server and per app, so the bill grows every time you add a client site. A control panel is a web dashboard that installs and manages your web server, PHP, databases and SSL. I have moved client sites from ServerPilot to al...
🌍 Dev.to

Digital Signature Misuse in India: DTI Wants Every eSign Provable in Court (2026)

Verdict: India has built digital public infrastructure the world studies - Aadhaar, UPI, DigiLocker, eSign - but it has not built the layer that proves what happened inside those systems years later. Digital Trust Infrastructure India Limited (DTI), a newly incorporated Pune deep-tech startup, is betting that "evidence infrastructure" is the country's next national-scale build, and its founder, insolvency professional Rupesh Kuche, is building a signing device and an evidence network around tha...
🌍 Dev.to

Kinetic-4B vs Claude Haiku 4.5: The 4B Model Wins Tools

Kinetic-4B wins on tool calling. On a 300-sample Composio evaluation, the 4-billion-parameter model from Bengaluru lab Conscious Engines scored 82.33% accuracy at 1.61s p95 latency, against 80.0% and 4.02s for Anthropic's Claude Haiku 4.5, and 76.33% at 7.99s for OpenAI's GPT-OSS-120B ( Conscious Engines, 1 April 2026 ). That is 2.5x lower tail latency at slightly higher accuracy. Haiku remains the better buy if you need one model to also write, summarise, reason and code; Kinetic-4B wins only t...
Jev is a very good classifier wearing a frontier model's coat
🌍 Dev.to

Jev is a very good classifier wearing a frontier model's coat

Two years in stealth. Ex-OpenAI. Co-invented ChatGPT. That is the pitch for Jev, and the pitch is doing most of the lifting. Strip the marketing off and look at what it actually does. Hand it a list of options, it picks one. Hand it criteria, it scores against them. Hand it a proposition, it rules true or false. That is the whole surface. A narrow-interface JSON classifier. Useful, genuinely. Not new. And it can pick wrong, score wrong, and judge wrong like anything else that outputs a guess....
🌍 Dev.to

DeepSeek V4.1-Flash Wins on Coding Agent Cost

Verdict: For coding agents, DeepSeek V4.1-Flash is the best open source LLM right now, because it lands level with Claude Opus 5 on software engineering while costing a fraction as much per million tokens. On DeepSeek's own release numbers it scores 74.2 on DeepSWE v1.1 against Claude Opus 5's 74.0 and GPT-5.6 Sol's 73.0, published on the model's release tracker entry . It loses badly on hard reasoning: 36.8 on Humanity's Last Exam without tools versus 56.3 for Claude Opus 5, per the same tabl...
🌍 Dev.to

Breeze TTS 2 vs ElevenLabs: Open Source TTS Verdict

Breeze TTS 2 is now the highest-rated open-weight model on the Artificial Analysis text-to-speech leaderboard at Elo 1215, ahead of ElevenLabs Eleven v3 at 1175, and its hosted price is $34 per 1M characters against ElevenLabs' $100 ( Artificial Analysis Provider Voice Arena , verified 2026-09-11). The verdict: if you are a researcher, hobbyist or builder running your own GPU for non-commercial work, Breeze TTS 2 is the better buy. If you are a business shipping a paid product, choose ElevenLabs...
🌍 Dev.to

AI Is Writing More of the Code — But Developers Are Becoming Responsible for More Than Ever

AI is writing more code. That part is obvious now. Developers can ask an agent to: create a feature write tests fix a bug refactor a module update documentation generate SQL review a pull request even run commands and modify files And in many cases, it works surprisingly well. But something else is happening at the same time. Developers are writing less of the code, while becoming responsible for more of it. That is the part I think we are underestima...
🌍 Dev.to

Agentic AI vs Generative AI: The 2026 Verdict

Generative AI wins for anyone producing content — drafts, images, code snippets, summaries — because it is cheaper, mature and easy to review. Agentic AI wins when the job is a multi-step workflow with a goal and a checkable result, such as fixing a failing test suite or reconciling two ledgers. Agentic systems are built on top of generative models, so the practical 2026 answer is to run generative by default and promote only the well-specified, verifiable workflows to agentic. Be selective b...
I made my agent prove every quote against the source document
🌍 Dev.to

I made my agent prove every quote against the source document

This is a submission for the Sanity Challenge, Path One: Ship an Agent That Queries Real Content What I Built My agent kept citing real documents for words those documents never contained. Not hallucinated quotes: real sentences, attributed to the wrong source. So it now proves every quoted phrase against the exact document it cites, straight from the dataset, and marks the ones that fail. TSB Oracle answers car repair questions from the public record, and shows you where ...
🌍 Dev.to

Structuring Playwright Tests with the Page Object Model in Python

As a Playwright test suite grows, locators and navigation logic often get duplicated across multiple test files. A small UI change then forces edits in several places, which increases maintenance cost. The Page Object Model (POM) pattern solves this by isolating page structure and interactions into dedicated classes, keeping test functions focused only on flow and assertions. The problem without POM def test_search_box_ready (): with sync_playwright () as p ...
Nobody actually writes Best regards
🌍 HackerNoon

Nobody actually writes Best regards

We parsed 71,216 real emails from four public corpora — the Git mailing list (2022–2026), Enron's internal mail (1999–2002), and two decades of spam and phishing — and counted how every one of them ends. "Best regards" turns up in 0.71% of human emails: 1 in 141. Most email doesn't close at all, with 69.7% of Git list messages and 57.7% of Enron's carrying no sign-off formula. When people do close, they say thanks — 84.7% of Git list closings, 62.9% of Enron's. The surprise came from the control...
Three quarters of email begins with nothing
🌍 HackerNoon

Three quarters of email begins with nothing

75% of real email opens with no greeting at all. We counted 71,216 messages: "Hi" dominates the rest — and "Dear" is now a phishing tell.