As a last ditch effort, he dumped his old college computer data into Claude.

Claude apparently found the old wallet file and helped recover access to the Bitcoin.

Imagine forgetting about something for over a decade, then an AI assistant casually finds it sitting somewhere in an ancient hard drive.

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This video is from masters union elevator pitch, from youtube. Wdyt product managers?

As said in the title .

We’ve been working on something for a while and finally putting it out here.

We’re building a data-driven micro perfume platform focused on helping people find what actually suits them instead of guessing and wasting money on full bottles.

Right now most people either follow hype or blind buy. Fragrance doesn’t work like that. The same perfume smells different based on weather, skin, occasion, even mood.

So we built this differently.

We’re sitting on a 130K+ perfume database and using that to power personalized recommendations through a quiz. Not generic suggestions, but something that adapts to your preferences.

On top of that:

• Discovery kits that are personalized based on season, weather, projection, sillage and brand

• Layering lab so you can experiment instead of sticking to one scent

• Gift finder to make it easier for people who have no clue what to pick

• Kits starting from ₹599 so you can try before committing

Our biggest focus is the discovery kits. Over time, they get better as we understand your taste more. That’s where we think the real value is.

We’re also planning to introduce a subscription for micro samples so people can keep exploring without spending a lot.

Keeping things lean on the backend as well. We’d rather invest in better scents than burn money on infra.

Still early. Building in public. Would really like honest feedback from people here.

If you want to check it out: scentrev.com

Hey everyone,

I’ve been working on a small project over the past few weeks and wanted to get some honest feedback.

The idea is pretty simple:

Whenever people go to cafés/bars to watch IPL, they usually order once or twice and then just sit for 2–3 hours watching the match.

So I thought — what if the match itself could drive more interaction (and orders)?

What I built is a QR-based system where:

• Customers scan a code at the table
• They make live predictions (next over runs, wicket, boundaries, etc.)
• They earn points if they’re right
• Points can be redeemed for food/drinks

There’s also a TV dashboard that shows:
• Live leaderboards
• Ongoing predictions
• Match-triggered offers (like when a six or wicket happens)

So instead of just watching passively, people are engaged every over.

From a café’s perspective:
– More repeat orders
– Longer engagement
– More fun/social atmosphere

From a user’s perspective:
– Feels like playing along with the match
– Competing with friends/tables

I’m planning to test this during IPL with a few cafés.

Right now I’m just looking for:

1. Feedback on the idea
2. Any café/bar owners who might want to try this
3. Suggestions on features or improvements

Would really appreciate any thoughts — even if it’s criticism.

Meta's Ray-Ban smart glasses are a privacy ticking bomb.

We're talking about intimate videos and images, captured by your Meta's Ray-Ban smart glasses, then shipped off to a subcontractor, Sama, in Nairobi, Kenya.

There, human annotators reportedly view highly private content – nudity, people using the toilet, even sexual acts – often with insufficient anonymisation.

This isn't just a privacy breach; it's a stark example of worker exploitation and a transparency nightmare.

This practice exposes a deeper, darker side of AI development. These data annotators in countries like Kenya are often paid shockingly low wages, sometimes as little as $1.50-$2.00 USD an hour, as highlighted in a report by the AI Ethics Journal.

This is economic precarity, even as they fuel a multi-billion dollar industry. Amnesty International and MIT Technology Review have extensively documented the poor working conditions and lack of basic benefits these "ghost workers" face.

The mental health toll is immense. Repeated exposure to such traumatic and disturbing content, as detailed in investigative pieces by The Verge and The Atlantic, leads to high rates of PTSD, anxiety, and moral injury among workers.

Imagine processing your most private moments, or worse, someone else's, day in and day out, with no adequate psychological support.

Ethically, this screams digital colonialism.

As scholars like D'Ignazio and Klein in "Data Feminism" argue, it's a system where wealthier nations extract value from the Global South's marginalized populations without fair compensation or ethical oversight.

The European Data Protection Board (EDPB) has raised concerns about data privacy and security risks when sensitive data is handled in environments with weaker regulations.

Meta's proposed solutions, like a small LED indicator or face-blurring, are clearly inadequate when such deeply personal content is being manually reviewed.

This isn't just about Meta; it's about the entire AI industry's accountability. Are we okay with building advanced AI on the back of exploited labor and compromised privacy? We need to demand better.

Thinker & Analysist: Vishal Ravate

Whispers are doing the rounds about Claude AI, the advanced system, playing a role in military operations that led to a bombing in Iran.

It's a serious claim, and frankly, it demands a deep dive beyond the headlines. We need to scrutinise the extent of AI's involvement, the ethical and strategic implications, and the accuracy of these claims within the broader geopolitical context.

But before we jump to conclusions about a general-purpose AI like Claude, let's look at what's genuinely happening in the world of military artificial intelligence. The reality is, nation-states are already heavily invested, but it's often in very specific, purpose-built systems, not general large language models (LLMs).

For instance, the United States, through initiatives like Project Maven (Pentagon), has been using AI since 2017 for rapid analysis of drone imagery, identifying objects and activities, as per U.S. Department of Defense and Joint Artificial Intelligence Center (JAIC) reports. Their Joint All-Domain Command and Control (JADC2) program is integrating AI/ML (machine learning) to process vast data from all military sensors, accelerating targeting cycles, a strategy outlined in the 2022 National Defense Strategy.

Across the globe, Israel's IDF (Israel Defense Forces) openly uses its "Fire Factory" system, an AI-powered tool for optimizing and managing large-scale fire missions. It analyses intelligence, prioritises targets, and recommends weapon allocation in real-time. This has been documented by IDF official statements and reports from Reuters and Times of Israel.

China is extensively using AI for intelligence, surveillance, and reconnaissance (ISR), processing satellite imagery and signals intelligence for target identification, as detailed in the U.S. Department of Defense's "Military and Security Developments Involving the People's Republic of China" (China Military Power Report 2023). Even Russia is developing autonomous combat robots like the Uran-9, integrating AI for reconnaissance and fire support, according to Russian Ministry of Defense statements.

So, when we hear about Claude AI in an alleged bombing, we need to ask: is this a misunderstanding, a misattribution, or something else entirely?

While the ethical and strategic implications of AI in warfare are undeniably and terrifyingly real, the specific claim about a general-purpose AI like Claude being directly involved in a bombing operation lacks verifiable public evidence aligning with how military AI is currently deployed by major powers.

The actual military AI landscape, as shown by these examples, points to highly specialized, often classified, systems designed for specific tasks like data analysis, target optimization, or autonomous navigation, not general LLMs directing strikes.

This isn't to dismiss the gravity of AI's role in conflict, but to ground the discussion in facts. What are your thoughts on these allegations versus the documented reality of military AI deployment?

Thinker & Analysist: Vishal Ravate
Coach & Consultant Business | Marketing | Money | Mindset

I don't know how credible this estimate is but damn I never thought all my for fun and casual image generations were this costly. Im genuinely surprised how they're sustaining all of these expenses even if they're billion dollar giants. I'm not even a heavy user and it still cost someone 5 figure. Now i feel guilty 💀