🤖Argentine fans found a robot, put the national team shirt on it, and made it dance to their songs. 😂

@datasciencepulse 〰️

🤖 12-Year-Old Launches AI Startup with Claude

Twelve-year-old entrepreneur Mana Jumpala created an AI assistant bot that helps small businesses build long-term customer relationships. The service, developed using Claude, passed initial testing successfully.

Mana plans to apply to Y Combinator and a16z accelerators within two years and aims to raise venture funding afterward. Despite online interest, her age creates a barrier in face-to-face pitches where she is often not taken seriously.

@datasciencepulse 〰️

🎤OpenAI just unveiled GPT-Live, its most natural voice AI yet.

Starting today, GPT-Live is rolling out in ChatGPT on iOS, Android, and the web, bringing conversations that feel far more like talking to a real person than a traditional voice assistant.

The biggest upgrade is its full-duplex architecture, which lets the AI listen and speak at the same time instead of waiting for you to finish. That means smoother conversations, fewer awkward pauses, better timing, and even live language translation during a chat.

OpenAI also says GPT-Live has its most refined conversational personality so far, making interactions feel more fluid, expressive, and human-like.

Voice AI is quickly becoming the next major interface and GPT-Live is OpenAI’s biggest step toward making conversations with AI feel truly natural.

@datasciencepulse 〰️

📱 Microsoft is quietly reducing its reliance on OpenAI and Anthropic inside Office.

According to reports, some AI features in apps like Excel and Outlook are now powered by Microsoft’s own MAI models, with tens of thousands of prompts each week being handled in-house instead of by external AI providers.

Why the shift? One word: cost.

Running AI across hundreds of millions of Office users is incredibly expensive, and relying on frontier models from outside companies quickly adds up. By using its own models, Microsoft can cut costs while keeping tighter control over performance and infrastructure.

The move also aligns with Microsoft’s bigger AI strategy. In June, the company unveiled seven MAI models covering reasoning, coding, image generation, voice, and transcription. Microsoft says its Excel-optimized MAI model can deliver GPT-5.4-level performance while being up to 10× more efficient.

@datasciencepulse 〰️

⚡️ AI Discovers Two New Superconductors

A team at Aalto University used machine learning to identify two previously unknown superconductors, confirmed later in lab tests at Rice University. This marks a shift from decades of manual trial and error that found about 7,000 superconductors so far.

Superconductors conduct electricity without resistance or heat loss, enabling powerful magnets for MRI machines and maglev trains. The challenge remains their need for extreme cooling, limiting practical use.

The AI approach scans billions of material candidates, speeding up discovery. The goal is to find a superconductor that works at room temperature by 2033, which would revolutionize energy and computing.

@datasciencepulse 〰️

عذرا الرابط نشر عن طريق الخطأ
📱📱

❗️The creators of AI 2027 just released a new future scenario called “Plan A” and it’s their blueprint for avoiding an AI catastrophe.

Unlike AI 2027, Plan A isn’t a prediction. It’s a policy proposal showing how humanity could navigate the rise of superintelligence without ending up in a dangerous global AI arms race.

The idea is simple but ambitious: instead of the U.S., China, and other nations racing in secret to build ever-more-powerful AI, they agree to full transparency in AI research and development. Countries openly share what they’re building, verify each other’s safety measures, and collaborate on the path toward superintelligence.

The proposal draws on conversations with experts from leading U.S. AI labs, former OpenAI researchers, lawmakers, national security specialists, and AI governance leaders.

The authors argue that this kind of international cooperation would allow many companies across different countries to develop increasingly powerful AI gradually, safely, and together, rather than risking disaster through unchecked competition.

Interestingly, the team behind the report says they don’t actually expect Plan A to happen. They describe it as an optimistic recommendation, a way to test whether better AI governance could still work if implemented at the last possible moment.

The report then contrasts Plan A with four alternative futures, Plans B, C, D, and S which explore different ways the U.S. (or the lack of action) might respond to the arrival of superintelligence.

@datasciencepulse 〰️

🚀 OpenAI launches ChatGPT Work, your AI coworker is here

OpenAI has unveiled ChatGPT Work, a powerful new AI agent inside ChatGPT powered by Codex and GPT-5.6.

Instead of just answering questions, it can take action across your apps and files, work on projects for hours, and turn a simple goal into a finished result.

What it can do:

• Create polished reports, presentations, websites, documents, and analyses.
• Use context from your connected apps and files.
• Follow your templates and writing style.
• Handle entire workflows from a single prompt while you stay in control.

Powered by GPT-5.6:

The new model is designed for stronger reasoning, long-running tasks, and producing work that matches your preferred format without needing step-by-step instructions.

@datasciencepulse 〰️

🙃 Elon Musk thinks SpaceX can worth more than the rest of the Earth.
🚬🚬🚬

@datasciencepulse 〰️

📱 Silicon Valley offices are starting to look… different.

As voice AI becomes part of everyday work, a new office accessory is taking off: soundproof speech masks.

Instead of filling open offices with people talking to AI assistants all day, workers are wearing devices like Stenomask and Mutalk that let them speak almost silently while keeping conversations private.

Rows of people wearing headsets and futuristic masks, quietly chatting with AI.

@datasciencepulse 〰️

📱 Meta to produce its own AI chip to reduce reliance on Nvidia and AMD

Meta plans to begin producing its custom "Iris" AI chip in September while doubling total computing capacity to 14 GW next year.

The chip could reduce Meta’s reliance on Nvidia and AMD and give it more control over the AI systems behind Facebook and Instagram.

The move comes as Meta looks to reduce AI costs, with spending reaching up to $145B this year.

@datasciencepulse 〰️

🔥A humanoid robot doing gallbladder surgery sounds fake until you watch the instruments move.

This ARCLab / UC San Diego demo shows teleoperated humanoids working through a cholecystectomy benchmark:

• tissue handling
• anatomical clearance
• laparoscopic tool control
• surgeon guided motion

Important detail: this is not autonomous surgery. The human surgeon is still in control. But the body holding the tools is starting to change.

Would you let a teleoperated humanoid perform surgery on you? 🤔

@datasciencepulse 〰️

👓 Meta is building AI glasses that could remember your entire day

Imagine wearing glasses that quietly keep track of what you see and hear all day, then letting you ask questions like “Where did I leave my keys?” or “Who did I meet this morning?” That’s reportedly what Meta is testing with a new “super sensing” mode for its AI glasses.

Instead of recording only when you press a button, the glasses could continuously capture audio and snap photos every few seconds, giving Meta AI a constant stream of context to act as a real-world memory assistant.

The report also claims Meta has debated whether the recording indicator light should remain off during passive data collection, raising concerns that people nearby may not realize they’re being recorded.

Some versions may upload only metadata rather than full images or audio, but Meta is reportedly also exploring whether the collected data could be used to train future AI models.

@datasciencepulse 〰️

🥺 Apple sues OpenAI over alleged AI hardware trade secrets

Apple has filed a lawsuit against OpenAI, accusing the company of orchestrating a campaign to obtain confidential information about Apple’s unreleased hardware projects.

The lawsuit names OpenAI hardware chief Tang Tan, Apple’s former VP of product design, along with former Apple engineer Chang Liu. Apple alleges Liu downloaded dozens of confidential hardware files before leaving the company and claims OpenAI encouraged departing Apple employees to share product designs, technical documents, and other proprietary information.

According to the filing, more than 400 former Apple employees now work at OpenAI, a figure Apple cites as part of its case.

Apple is asking the court to order OpenAI to destroy any confidential materials it obtained and redesign any upcoming hardware products that rely on Apple’s alleged trade secrets.

Source.

@datasciencepulse 〰️

🗣Anthropic researchers:

“Even if AI progress completely stalls today and we don’t reach AGI, the current systems are already capable of automating all white-collar jobs within the next 5 five years”

@datasciencepulse 〰️

Who is the scammiest scammer in AI? 🤔

@datasciencepulse 〰️