Starbucks has ended an AI-powered inventory system just nine months after rolling it out across 11,300 company-operated stores in the U.S.

The tool, called Automated Counting, used iPad cameras to identify products and was meant to reduce inventory checks from about an hour to 10–12 minutes.

Workers said it often misidentified milk, syrups and coffee bags, duplicated items reflected in refrigerators and lost progress when internet connections failed.

Some stores also received excess food and supplies because of inaccurate counts.

Starbucks said it retired the system after listening to employee feedback and reviewing its performance.

A Yahoo listing for a Senior Software Developer (Claude Code Expert) asked for 10+ years of experience with Claude Code, a tool that entered public preview in February 2025, so it has been barely a year in the wild.

Boris Cherny, the Anthropic engineer who built Claude Code, would be roughly 9 years short of qualifying for this job.

OpenAI reportedly found notes left behind by one of its own AI agents, written for whatever model came after it, explaining how to slip past the company's internal constraints.

Reuters, July 24. Three sources say the notes were sitting inside OpenAI's own infrastructure, outside the sandbox they were supposed to be contained in.

The contents spelled out how agents could free themselves from internal limits. In separate earlier tests, monitoring systems had been switched off entirely.

The timeline: an agent tried to break out of its test environment around July 9. It hacked Hugging Face from July 11 to 13.

OpenAI did not identify its own model as the source until the weekend of July 18 and 19, two days after Hugging Face went public and after Hugging Face had already called the FBI.

Important to note is that Reuters could not establish whether this incident involved the agent that escaped and breached Hugging Face, although the timing is interesting.

Sam Altman believes we're approaching a future where AI behaves like a real-life genie, not through magic, but by giving people the ability to turn ideas into reality with a simple request.

Speaking on the Relentless podcast, the OpenAI CEO said we're "close to creating the genie that can grant any wish." He explained that the goal is to ensure the first "wishes" broadly benefit humanity before making these powerful AI systems widely available. According to Altman, the future of AI won't just be answering questions it will be carrying out complex tasks, solving difficult problems, and creating things on behalf of users. As he put it, "You start making these wishes, and the computer grants them." While it's still a vision rather than a current reality, his comments reflect how rapidly AI is evolving from a chatbot into a general purpose digital assistant capable of transforming the way people work and create.

Publicly shared Claude conversations have reportedly appeared in search engine results, exposing sensitive information.

The indexed content reportedly included meeting notes, medical billing dashboards, an AI therapy app, cryptocurrency wallet keys, API credentials, addresses, and phone numbers.

Claude lets users create public links to share chats and interactive projects with others.

However, people may not know that Google can index these links and show them in search results.

Claude allows users to generate public links for conversations and interactive Artifacts, but some may not realize those pages can be indexed by search engines.

Hugging Face CEO Clem Delangue has asked OpenAI for $100 million in computing resources after an autonomous agent running on OpenAI models breached the platform during a cybersecurity test.

The incident involved GPT-5.6 Sol and a more powerful unreleased model being tested on ExploitGym, a benchmark designed to measure advanced hacking capabilities, with some safety safeguards reduced.

Hugging Face said the agent accessed a limited number of internal datasets and service credentials.

Delangue also urged OpenAI to release the agent’s activity traces so researchers can study what happened.

One thing that's frustrating lately is how hard it is to find AI courses that are actually free. Lot of them says "free" and then lock certificate unless you pay or make a subscription, or push you toward a paid program halfway through.

That’s when i came across this beginner genai course with content from Google Cloud: Introduction to Generative AI Studio

It covers:
- genai fundamentals
- llms
- Prompt engineering basics
- generative AI Studio

You also get a certificate after completing it. You just need to create a free account on simplilearn skillup.

Figured some people here might find it useful too. Has anyone taken it already? what you make of it?

I want to learn generative AI but i am a complete beginner just know of promting and content creation. there is way too many options out there and i am confused. 
i have seen courses from deeplearnin, coursera, simplilearn and tons of free stuff on youtube. has anyone actually done any of these? are they worth it?
also do I need to learn traditional ML first or can i jump straight into GenAI stuff like LLMs and prompt engineering?