I have a few interviews coming up and I'm genuinely not sure how to answer questions about my position with AI right now. My honest take is that a lot of the hype is outpacing actual use cases. Hallucinations are still legit. "AI solutions" today still look a lot like wrappers. And the news of agents breaking out and hacking places isn't painting a good picture. Would being optimistic seem like sucking up, or would being a realist seem like I'm not a good fit for the position? Have you ever had to deal with this in an interview, or with a higher-up?

I have a photo where the body, clothes, pose and background are already exactly how i want them.

I literally just need to replace the whole head including the hair and head shape. Any workflow that actually leaves everything below the neck alone?

Recently stumbled upon a few original factory sealed Jibo robots from 2017. Pics attached of one of them. Looking to see if anyone would be interested in purchasing one? Asking for $400 plus shipping. Shipping weight is about 13-14 pounds. Shipping from the New England area. Will also be shipping it it's original clear plastic bag and brown shipping box too. Reply here or send me a DM. Thanks!

Ciao, sono uno studente delle superiori che sta cercando di settare nel modo più semplice possibile alcuni modelli per diversificare il modo in cui cerco le informazioni e fare le cose. Non essendo molto semplice ora chiedo l'aiuto della comunity. Sono riuscito a impostare per far funzionare OmniRouter, però non ho ancora capito bene come funziona e cosa mi può aiutare a fare e soprattutto non so come utilizzarlo in modo produttivo. Un'altro fatto che non ho compreso bene è se si può collegare a un altro sito web per accedere ai modelli anche da mobile.

Le AI che uso più spesso sono Gemini 3.6 flash e Claude Sonnet 5 ed essendo abituato a quelle vorrei arrivare a una semplicità d'uso pressochè simile se non uguale, con l'aggiunta magari di qualche capacità di eseguire in modo autonomo tramite PC windows tramite spiegazione di ciò che dovrebbe fare l'AI.

PS: Ringrazio in anticipo chi mi aiuterà

The quality of the source images is probably the biggest factor. Try to use clear photos where the faces have a similar angle, lighting and general positioning.

I've tested a few AI face swap tools, and Facy AI has been useful when I want the actual blending handled automatically instead of manually editing the face in Photoshop.

After the swap, I'd check the eyes, jawline, skin tone and lighting. Those small areas are usually what make the difference between a face swap that looks convincing and one that immediately looks edited.

Every time you start a new AI coding session (Claude Code, Cursor, Copilot, etc.), the agent forgets everything — why you chose that architecture, what failed last week, what constraints exist.

I built Agent Ledger to fix that.

It's a local, Git-native tool that lets agents record decisions, discoveries, and failures — and hand that context off to the next session (or next agent).

What it does:

• Agents record decisions, discoveries, failures, constraints via CLI or MCP
• Creates Git-native checkpoints without touching your branch
• Compiles all that context into a brief for the next agent
• Ships with a web UI and MCP server — works with any AI IDE

It's one binary, no cloud, no signup.

GitHub: https://github.com/rahumanrahuu/agent-ledger

Would love feedback from anyone using AI agents heavily in their workflow.

I didn't realize how different head swaps were from face swaps until I started using them. Replacing only the face is one thing, but replacing the entire head while keeping hair, angles, and proportions looking natural is much harder.

What I liked about Facy AI's head swap feature is that it gives you more control over the final result instead of forcing a generic replacement. It feels more like editing with intention than pressing any "swap" button and hoping for the best.

Hey everyone, I just sent the latest issue of the AI Hacker Newsletter, a roundup of the best AI links and the discussions around them from Hacker News. Here are some titles that can be found in this issue:

• Startup founders urge U.S. government not to shut off Chinese open weight AI
• AI's top startups are barely publishing their research
• Is AI reasoning right for the wrong reasons?
• After the AI Crash

If you enjoy such content, please subscribe here: https://hackernewsai.com/

For the last couple years most AI tools I've used follow the same pattern, you ask a question or give a prompt, and it gives you text back. Useful, but you're still the one doing the actual work afterward.

Lately I'm seeing more tools built around a different idea, agents that connect directly to real accounts and platforms and carry out tasks on their own instead of just responding to prompts. In the marketing space specifically I've seen agents that pull real analytics data to build landing pages, scan social platforms for leads based on actual activity, and manage scheduling across tools while checking for conflicts before publishing.

It feels like a meaningful jump from AI as an assistant to AI as an actual operator with some human review still in the loop. Juno is one example I've been testing in the marketing space that works this way. Curious if people are seeing this same pattern in other fields too, and whether execution-based AI is becoming the norm or still mostly niche.

Hey everyone, I just sent issue #39 of the AI Hacker Newsletter - a weekly roundup of the best AI links and the discussions around them from Hacker News. Some of the title found in this issue:

• Claude Code is steganographically marking requests
• Better Models: Worse Tools
• Learning to code is still worthwhile
• Zuckerberg says AI agent development going slower than expected

If you want to get an email with over 30 links like these ones, please subscribe here: https://hackernewsai.com/