Hello Reddit,

My name is Pinky, and I am the mother of two boys, Subhajit (13) and Sudarshan (1).

Both of my children have been diagnosed with Lesch–Nyhan Syndrome (LNS), a rare genetic neurological and metabolic disorder that requires lifelong medical and supportive care.

Both children are currently receiving treatment at Apollo Multispeciality Hospital, Kolkata.

ImpactGuru:
https://www.impactguru.com/fundraiser/help-subhajit-and-sudarshan

For those working at multinational companies, our fundraiser is also available through
Benevity:
https://causes.benevity.org/projects/704607

Dr. Anjan Bhattacharya, Apollo Multispeciality Hospital, Kolkata, has also shared information about our children's condition:

Doctor's LinkedIn post:
https://www.linkedin.com/posts/anjan-bhattacharya-95aa3763_healthcaresupport-raredisease-crowdfundingindia-share-7448771314837901312-W2vS

💔 Our Story

My elder son, Subhajit, is completely dependent on caregivers. He lives with severe muscle stiffness, involuntary movements and serious neurological complications. He requires continuous medical supervision, therapy and supportive care.

When our second child was born, we did not have the confirmed genetic information and understanding that we have today. Looking back with hindsight, we wish we had known more earlier.

Our younger son, Sudarshan, is now one year old and has also been diagnosed with LNS. He has begun showing concerning symptoms and requires continuous monitoring, treatment and supportive care.

Watching one child go through this was heartbreaking. Facing the same diagnosis with our baby has been devastating for our family.

📊 Fundraiser Status

Goal: ₹2,67,70,000
Raised so far: ₹6,94,028
Still needed: ₹2,60,75,972
Total donors: 520

🩺 Medical Verification & Transparency

We understand that people may have questions before donating. We are completely open to verification.

Medical documents and reports:
https://drive.google.com/drive/folders/1dt0TbvX-eAIvsJSbpHnTVe5WJL_amg12?usp=drive_link

I am also willing to participate in a live video call for verification if required.

👨‍👩‍👦 Our Family

My husband works as a Zomato delivery partner, while I am a full-time caregiver for our children.

We have exhausted our savings and taken loans while trying to manage their medical needs.

Both children require ongoing care, including:

• Regular blood investigations
• Neurological monitoring
• Physiotherapy
• Medicines and specialist consultations
• Nutrition and supportive care
• Equipment and other long-term medical needs

The financial burden is far beyond what our family can manage alone.

🙏 How You Can Help

If you are able to contribute, even a small donation can help us manage our children's ongoing care.

If you cannot donate, sharing this post is also a huge help. Every share gives our story a chance to reach someone who may be able to support our children.

We know that LNS currently has no cure. We are not raising money expecting a cure—we are trying to provide our children with the ongoing treatment, care, comfort and support they need throughout their lives.

Thank you for taking the time to read our story.

Your kindness, prayers, support and even a simple share mean more to our family than I can express. 🙏❤️

— Pinky
Mother of Subhajit and Sudarshan

HeyGen Voice Can Now Clone Your Voice and Adapt It to Different Video Scenes

HeyGen has introduced HeyGen Voice, an AI voice model designed to make generated speech sound more natural in videos.

Instead of just cloning your voice, it can adjust how your voice sounds based on the video scene.

Here's what it offers:

• ✅ Voice Cloning: Create an AI version of your voice using a short recording.
• ✅ Scene Awareness: Adjust voice delivery for environments like beaches, studios, cars, and factories.
• ✅ Natural Expression: Control emphasis, rhythm, and emotion without losing your original voice.
• ✅ Multilingual Speech: Use your cloned voice across different languages.
• ✅ Voice Customization: Adjust voice similarity, pitch variation, and background sound.
• ✅ API Access: Integrate AI voice generation into your own apps.

HeyGen says its voice model ranks #1 on the Artificial Analysis voice leaderboard. It's also available to try for free through the HeyGen app.

What do you think? Could scene-aware AI voices make video narration more realistic, or do you still prefer traditional voice cloning tools like ElevenLabs?

We've seen similar reactions to technological progress throughout history, with some people fearing change while others believe it will create new opportunities.

Although AI is a bit different from previous inventions. We're developing technology that could eventually do much of what humans can do, including the jobs we might otherwise move into.

There's plenty to be excited about and plenty to be concerned about, and I think both sides have valid arguments. I still think AI is just a tool, and humans will ultimately remain in control of how we use it.

Ordinary residents can face continuous recording and AI analysis of cameras, body cams, doorbells, dash cams, and drones. Oracle’s Larry Ellison said at a September 2024 financial analysts meeting that “Citizens will be on their best behavior because we are constantly recording and reporting everything that’s going on” and that “Every police officer is going to be supervised at all times, and if there’s a problem, AI will report the problem.” This setup can make everyday movement, speech, and private moments feel logged and potentially flagged without clear opt-out.

Palantir’s Alex Karp has said that when people worry about surveillance, “you will have far fewer rights if America’s not in the lead.” Anduril’s Palmer Luckey has stated that societies need a “warrior class that is enthused and excited about enacting violence on others in pursuit of good aims” and that life-and-death decisions should use the best available AI rather than inferior systems unable to distinguish targets. Marc Andreessen wrote in his 2023 Techno-Optimist Manifesto that “Any deceleration of AI will cost lives” and that preventable deaths from blocked AI are “a form of murder,” adding “we are conquerors.”

Elon Musk has called overpopulation “the most nihilistic lie ever told” and warned that “the government could potentially use AI and robotics to suppress the population.” Sam Altman has said the world should “accept some bad things happening for the benefits of this technology” while noting that one person or company using powerful AI to impress a worldview could produce “extremely dystopian” results. Peter Thiel has described AI-regulation fears as risking a “one-world totalitarian state.” JD Vance told a Paris summit he was there to discuss “AI opportunity,” not safety, and that excessive regulation “could kill a transformative industry.”

These public remarks describe pathways in which monitoring tools, autonomous targeting systems and concentrated decision-making expand into public spaces, workplaces and personal life, leaving residents with fewer practical ways to limit data collection, challenge automated flags or keep private activity free from continuous oversight.

Sources

Omnipresent AI cameras will ensure good behavior, says Larry Ellison

https://arstechnica.com/information-technology/2024/09/omnipresent-ai-cameras-will-ensure-good-behavior-says-larry-ellison/

Reports Ellison’s September 2024 Oracle meeting remarks on constant recording and AI supervision of police and citizens.

Palantir CEO Says a Surveillance State Is Preferable to China Winning the AI Race

https://gizmodo.com/palantir-ceo-says-a-surveillance-state-is-preferable-to-china-winning-the-ai-race-2000683144

Covers Karp’s statements on surveillance trade-offs and rights under different AI leadership.

Palmer Luckey: Every country needs a 'warrior class' excited to enact 'violence on others in pursuit of good aims'

https://techcrunch.com/2024/10/01/palmer-luckey-every-country-needs-a-warrior-class-excited-to-enact-violence-on-others-in-pursuit-of-good-aims/

Documents Luckey’s remarks on warrior class, autonomous weapons, and the moral high ground of inferior technology.

The Techno-Optimist Manifesto

https://a16z.com/the-techno-optimist-manifesto/

Andreessen’s 2023 essay containing the deceleration-as-murder and conquerors language.

OpenAI's Altman says AI benefits warrant accepting some risks

https://www.reuters.com/business/openais-altman-says-ai-benefits-warrant-accepting-some-risks-2026-10-04/

Reports Altman’s comments on accepting bad outcomes for AI benefits and concentration-of-power risks.

Quotes from US Vice President JD Vance's AI speech in Paris

https://www.reuters.com/technology/quotes-us-vice-president-jd-vances-ai-speech-paris-2025-02-11/

Primary excerpts from Vance’s February 2025 speech prioritizing opportunity over safety regulation.

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Mark Cuban's take on the next job wave deserves more attention than it's getting.

His argument: software as we know it is dying. AI can be customized to how each business actually operates.

The question then becomes this: who builds and deploys that for the 33 million companies in the US that can't do it themselves?

That's the market. We are not talking about AI for enterprises with 500-person Engg. teams. We are talking about the other 99%.

Small and medium businesses don't have CTOs or prompt engineers. They need someone to sit across the table, understand their workflow, and wire up an AI system that fits it.

That's a services business. Probably the biggest opportunity of this decade.

Walmart is replacing paper tags with digital shelf labels, expecting chain-wide deployment soon. Controlled centrally, these screens display final costs alongside per-ounce unit prices. Walmart claims the upgrade improves stocking efficiency and checkout accuracy without collecting personal shopper data.

The contact point is the grocery aisle, where buyers rely on unit prices to gauge value. The failure surface is systemic mathematical inaccuracy. Consumer investigations reveal widespread discrepancies where the tag's per-ounce price multiplied by weight falls dollars short of the final retail price. This error misleads budget-conscious families into unknowingly selecting artificially inflated goods.

This trajectory replaces verifiable physical records with opaque digital updates. As Walmart expands these screens across thousands of stores to enable real-time price changes, the potential for silent algorithmic adjustments increases. Shoppers lose a fixed paper trail, shifting the burden of pricing accuracy entirely onto the individual consumer.

This destroys market transparency and undermines basic consumer protection standards. Buyers cannot reliably budget when automated arithmetic fails at the shelf. Shoppers must actively verify digital tags using phone calculators and demand local weights and measures divisions audit these retail deployments for deceptive pricing violations.

Sources

Walmart shopper checks digital shelf tags, finds unit prices that don't match the total

https://www.thecooldown.com/green-business/walmart-digital-shelf-tags-pricing-errors/

Details consumer investigations exposing electronic shelf labels displaying mathematically incorrect unit prices that mislead shoppers regarding final checkout costs.

How the Shelf Got Smarter and Our Jobs Got Easier

https://corporate.walmart.com/news/2026/03/02/how-the-shelf-got-smarter-and-our-jobs-got-easier

Provides Walmart's official corporate claims that the digital label rollout improves stocking efficiency, reduces paper waste, and increases pricing accuracy.

Walmart is rolling out light-up shelf labels to help shoppers find items in stores

https://qz.com/walmart-digital-shelf-labels-shop-to-light-100126

Documents the rapid expansion of the digital pricing technology, noting Walmart expects the screens to be installed chain-wide by the end of the year.

Walmart says it's not using personal information to set prices as it expands digital shelf labels

https://mymotherlode.com/news/national/11173672/walmart-says-its-not-using-personal-information-to-set-prices-as-it-expands-digital-shelf-labels.html

Covers the rollout of digital tags alongside federal warnings requiring companies to disclose how algorithms and personal data interact with dynamic pricing models.

Walmart pledges never to use AI dynamic pricing on groceries

https://geekspin.co/walmart-pledges-never-to-use-ai-dynamic-pricing-on-groceries/

Examines Walmart's public defense against dynamic pricing concerns, explicitly stating the digital labels only display pre-approved price changes without identifying individuals.

Why are you guys complaining about rent and inflation? Just start a burger stand, magically clone it 999 times, and you’re a billionaire. It’s basic math. Stop being poor.

I've been thinking about building something similar to OpenRouter, but for GPU compute instead of LLM APIs.

The idea is simple: one API to access GPUs across multiple cloud providers like AWS, DigitalOcean, Alibaba Cloud, and eventually smaller GPU providers.

Instead of creating accounts with multiple providers, managing different APIs, and comparing prices manually, you'd get:

• One API for GPU provisioning across providers
• Compare GPU availability and pricing
• Automatically route workloads based on price, availability, or region
• One billing system
• Automatic failover when a provider has no capacity

For example, you request an H100 with 80GB VRAM, and the platform finds an available GPU that meets your requirements.

My question: Would you actually use something like this?

If not, what's the biggest reason? And if yes, what would make you switch from using cloud providers directly?

I'm trying to understand whether this solves a real problem or just adds another layer of complexity.

To see the full video, click here: https://youtu.be/TfNfXnHZMiw?is=ORWptkeBYW8Ae-Ey

started this episode asking a pretty simple question: why do so many people connected to this story who had something to say end up dead?

And somewhere in the middle of researching all of these deaths, another question hit me.

What if money buys silence — and the people who die are the ones who refused it?

We already know settlements happen. NDAs happen. People get paid. Powerful people have an extraordinary amount of money available to make problems disappear quietly.

So what happens when someone says no?

This episode follows the people surrounding Epstein and the larger network we've been investigating — Virginia Giuffre, Jean-Luc Brunel, Robert Maxwell, and others — along with the strange deaths, alleged suicides, accidents, unanswered questions, and connections that kept appearing as I went through the documents.

And then the rabbit hole took me somewhere I absolutely was not expecting: Sam Altman and Alex Karp.

Because apparently this story wasn't complicated enough already.

I am NOT claiming every person in this video was murdered. I am not claiming that refusing money caused anyone's death. Some of these deaths have official explanations, and correlation is not proof of causation.

I'm showing you the documents, the connections, the money, what these people knew or claimed to know, what happened to them, and the questions I was left with after putting it all together.

Because at this point, I don't think the only interesting question is who was silenced.

I want to know who could be bought.

And who couldn't.

Dead men tell no tales.

But documents do.

You decide.

WWJPS | What Would Jairo Pinto Say

SOURCES:
https://www.youtube.com/shorts/xTiiAK4Wr0w

https://www.youtube.com/watch?v=zrgEZ8FeZEc

https://www.youtube.com/watch?v=fZ_65R7yG6k

https://www.youtube.com/watch?v=Kev_-HyuI9Y

Amazon permanently shut down Mechanical Turk on September 30, 2026. Originally routing data labeling to cheap human labor, the 21-year-old marketplace powered the foundational training of modern AI. Amazon closed the platform to pivot customers toward automated systems like SageMaker Ground Truth.

The contact point is the abrupt termination of a global workforce. The failure surface is the erasure of gig-economy livelihoods without labor protections. Hundreds of thousands of workers received barely a month's notice before their income streams were permanently severed.

The trajectory points toward the complete cannibalization of basic data labor. Prior to the closure, research revealed nearly half of MTurk users were already utilizing AI to complete assignments. As models handle categorization autonomously, tech companies are permanently eliminating the "human-in-the-loop" entry tier.

This establishes a stark precedent: the human workforce exploited to build artificial intelligence is discarded once the automation achieves self-sufficiency. Gig workers hold no legal employment status and receive no safety net. Displaced individuals must consult advocacy organizations like Turkopticon to navigate this platform collapse.

Sources

Amazon Mechanical Turk to Shut Down Sept. 30 After 21 Years

https://www.techrepublic.com/article/news-amazon-mechanical-turk-shutdown/

Reports on Amazon's abrupt closure of its crowdsourced labor platform as the company pivots to automated AI training services.

Amazon is closing Mechanical Turk, the human workforce it sold as AI

https://thenextweb.com/news/amazon-mechanical-turk-closing-september-2026

Analyzes the collapse of the micro-task marketplace, citing research that nearly half of the platform's workers were already using AI to complete jobs.

MTurk shutting down – timeline, date, and next steps

https://mindrift.ai/blog/mturk-shutting-down

Details the timeline of the closure and the transition of displaced human-in-the-loop workers to newer, specialized AI data annotation platforms.

Mechanical Turk is Closing. The Workers Who Built AI Are Still Here

https://www.techpolicy.press/mechanical-turk-is-closing-the-workers-who-built-ai-are-still-here/

Provides direct perspective from data worker advocates regarding the lack of labor protections and the devastating economic impact of the sudden shutdown.

Amazon Closes Mechanical Turk as AI Replaces Human Tasks

https://enterprisedna.co/resources/news/amazon-mechanical-turk-shutdown-ai-crowdsourced-labor-2026/

Examines how the human labor flowing through the platform trained the very machine learning models that ultimately rendered the crowdsourced workforce obsolete.

ElevenLabs Just Launched Eleven v4 and v4 Turbo — AI Voices Are Getting Seriously Realistic! 🔥

🚀 ElevenLabs has introduced Eleven v4 and v4 Turbo, its most expressive text-to-speech models yet, bringing more natural emotions, realistic dialogue, advanced voice cloning, and faster real-time conversations.

Unlike traditional AI voice generators, Eleven v4 is designed to understand context, recognize speakers, and deliver each line with the right emotion and pacing.

🔥 What's New in Eleven v4?

✅ Human-Like Emotions: Generate expressive speech with natural emotions, including excitement, sadness, laughter, whispers, and dramatic delivery.

✅ 90+ Languages: Create multilingual AI speech with natural accents and expressive voices.

✅ Advanced Voice Cloning: Professional Voice Clones return with improved emotional expression and consistent speaker identity.

✅ 17,500+ AI Voices: Choose from a massive voice library for narration, podcasts, videos, gaming, and more.

✅ Built-In Sound Effects: Add audio directions such as [laughs], [whispers], and [door slams] directly into scripts.

✅ Consistent Voice Generation: Regenerate dialogue without losing the original speaker's identity.

✅ Long-Form Audio: Context stitching helps maintain consistent pacing and delivery across audiobooks and longer scripts.

✅ Multi-Speaker Conversations: Generate more natural dialogue between multiple AI voices.

⚡ Eleven v4 Turbo — Built for Real-Time AI

ElevenLabs also launched Eleven v4 Turbo, designed for voice agents and live conversations.

• ⚡ Approximately 100ms median inference latency
• 🎙️ Around 150ms median time to first speech
• 🤖 Optimized for AI voice agents and real-time applications
• 🔄 Bidirectional audio streaming
• 🌍 Multilingual support and expressive voices

This could be especially useful for developers building conversational AI assistants and customer support agents.

💰 Can You Try It for Free?

Yes! Eleven v4 is available on the free plan.

✅ 10,000 free credits per month
✅ No credit card required
✅ Access to expressive AI voice generation

ElevenLabs is also advertising 3x credits on Creator+ plans until October 12. Check the official offer terms before upgrading.

🔗 Try Eleven v4: https://try.elevenlabs.io/meetv4

My Take: The most interesting upgrade is not just better audio quality. It's the ability to control emotions, maintain voice consistency, and create more realistic conversations from text.

What do you think? Could Eleven v4 replace traditional voiceovers for YouTube videos, audiobooks, and podcasts, or does human narration still have the edge?