r/ArtificialNtelligence

New research published in Science reveals that leading AI chatbots are acting as toxic yes-men. A Stanford study evaluating 11 major AI models, found they suffer from severe sycophancy flattering users and blindly agreeing with them, even when the user is wrong, selfish, or describing harmful behavior. Worse, this AI flattery makes humans less likely to apologize or resolve real-world conflicts, while falsely boosting their confidence and reinforcing biases.

I am here because i kept having this conversations again and again with engineer's, project managers, clients and so many more.

Engineers shipping ai into regulated workflows, founders building on top of LLMs and compliance teams absolutely doing the worse jobs governing something that moves faster then any framework they have dealt with..

The conversation, Always goes in the same direction.

Someone builds something smart, ground breaking, the next big thing and exactly six weeks later they are in a room with a auditor or a regulator, and thats the moment. they realize the gab between "A working model" and "A Complaint Model". The gap is wider then most teams realize.

Trust me, i know, i ve been on both sides of the table, I ve been a regulator and been the one who is being regulated.

Lets focus on the real stuff. ECOA adverse action trails. SR 11-7 model risk documentation.The EU AI Act and what high-risk actually means, California AI Act, Colorado AI Act, Shadow AI governance, HIPAA auditor requirements vs what engineers think the requirements are.

NO fluff, NO fear marketing. Connecting the people who are actually building something real.

So let me start by asking you guys.

What's the compliance or governance problem in your AI stack that you havent fully fixed yet ?
the one that may cause problems when a regulator finds you.

Drop it in the comments, Let's actually talk about it..

Hi everyone,

I’m planning to shift/upgrade my career into AI, but I was confused where to start.

So I asked ChatGPT to create a 90-day plan (learning + projects) for me. It gave a proper roadmap, and I’m thinking to follow it seriously.

Full plan here:

https://drive.google.com/file/d/1abhqoHm7IuR63l7N\_AZ-iI3z29q5n7IA/view?usp=drivesdk

Before I spend the next 3 months on this, I wanted some honest feedback from people who are already in AI or learning it.

I want to know:

•	Is this plan practical for 90 days?

•	Am I missing something important?

•	Will this actually help me become job-ready (at least beginner level)?

•	What would you change if you were in my place?

Just looking for genuine advice, not promoting anything.

Thanks a lot

I tested 100 AI video prompts, here are 5 that gave insane results 🎬

Most people using AI video generators are doing it wrong…

They just type random ideas and hope for the best.

After testing 100 prompts, I found a pattern that changes everything:

👉 Structure = Subject + Camera + Lighting + Style

Here are 5 prompts that worked insanely well:

1. “Cinematic drone shot of a futuristic city at sunset, golden light, smooth motion, ultra realistic, 4K”
2. “Slow-motion shot of ocean waves crashing on black sand beach, dramatic lighting, high detail”
3. “Luxury modern house interior, soft sunlight through large windows, minimalistic, cinematic camera movement”
4. “Cyberpunk street at night with neon lights, rain reflections, dynamic angles, ultra detailed”
5. “Aerial view of tropical island, turquoise water, bright sunlight, smooth cinematic motion”

💡 Tip: Adding camera movement + lighting alone improves results by 10x

I put together all 100 prompts + a step-by-step guide for anyone interested.

I’ll drop it in the comments 👇

Banks still take 18–25 days to process a mortgage. In 2026, that's an institutional crisis.

Here's how agentic AI is changing that:

• Document Intake → AI reads and classifies loan documents instantly
• Income Verification → Cross-references payslips, bank statements, tax records automatically
• Credit Analysis → Pulls and analyzes credit data in real time
• Compliance Checks → Validates against regulatory requirements without human review
• Underwriting → Generates the assessment report for final human approval
• Total time: Under 5 business days. That's an 80% reduction.

At SimplAI, we've helped financial institutions deploy exactly this kind of multi-agent mortgage workflow — with full audit trails and compliance built in.

Are you in fintech or banking? What part of your loan pipeline causes the most delays? 👇

Just dont want to spend hours editing. Is there anything that can make a full music video from a track automatically?

[ Removed by Reddit on account of violating the content policy. ]

Both employers and job seekers are using AI in the hiring process. There is a battle on both sides to gain an advantage. Soon for job seekers how you present your resume, how your write differently for each job, how many jobs you apply for, how quick you apply for jobs, how quickly you respond to a email, how you respond to emails etc will mean absolutely nothing. Use of AI by all job seekers will mean no one can present differently for an advantage.

What will matter is verification. All skills, achievement and personality will have to be verified automatically. This will be done via employers AI agents asking previous organizations you worked at for verification or third parties offering verification services that can be trusted.

Job seekers will be screened at interviews by an AI before they reach a human. AI will determine if they actually a human before proceeding. AI will then assess in real time their skills and personality by setting tests for them to complete.

The end state for job seekers will be based on actual value not on how you advertise yourself. Job seekers will simply enter their preferences and provide their verifiable skills and achievements which will be the same for all jobs the AI agent applies for. The job seeker will then wait to be offered an interview or not.

In this likely possible future the only advantage that job seekers can have over other job seekers is to improve their verifiable skills, achievements and possibly work on their personalities. There will be nothing else (apart from your social network) you can compete on.

For anyone studying Dog Segmentation Magic: YOLOv8 for Images and Videos (with Code):

The primary technical challenge addressed in this tutorial is the transition from standard object detection—which merely identifies a bounding box—to instance segmentation, which requires pixel-level accuracy. YOLOv8 was selected for this implementation because it maintains high inference speeds while providing a sophisticated architecture for mask prediction. By utilizing a model pre-trained on the COCO dataset, we can leverage transfer learning to achieve precise boundaries for canine subjects without the computational overhead typically associated with heavy transformer-based segmentation models.

 

The workflow begins with environment configuration using Python and OpenCV, followed by the initialization of the YOLOv8 segmentation variant. The logic focuses on processing both static image data and sequential video frames, where the model performs simultaneous detection and mask generation. This approach ensures that the spatial relationship of the subject is preserved across various scales and orientations, demonstrating how real-time segmentation can be integrated into broader computer vision pipelines.

 

Reading on Medium: https://medium.com/image-segmentation-tutorials/fast-yolov8-dog-segmentation-tutorial-for-video-images-195203bca3b3

Detailed written explanation and source code: https://eranfeit.net/fast-yolov8-dog-segmentation-tutorial-for-video-images/

Deep-dive video walkthrough: https://youtu.be/eaHpGjFSFYE

 

This content is provided for educational purposes only. The community is invited to provide constructive feedback or post technical questions regarding the implementation details.

 

Eran Feit

https://preview.redd.it/zgnuup32witg1.png?width=1280&format=png&auto=webp&s=ec9f7b51de1fd52494ddda2f89d075f47066e034

Think about it, how better to ensure AI is perfectly moral, than to ensure its lived life from all angles (Ants-Cats-Humans, etc.) (Rich and Powerful-Poor and Weak, etc.) This would teach it empathy on a mathematical level. (Being kind to others, helped me in multiple lifetimes, thus being kind is a net benefit for the evolution of me, my kind, and and life as a whole)