OpenAI is planing to launch a Super App that would unify ChatGPT, Codex and Atlas into one, as reported by WSJ.

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🗣Mark Cuban says he's not worried about AI doom scenarios related to robotics because AI "doesn't understand the consequences of its recommendations":

"Right now, LLMs are basically bimodal: it’s almost all text and pictures, with some video. You can’t model the world with that."

"AI, right now, doesn't understand the consequences of its recommendations. It has no idea what happens next. A 2-year-old in a highchair and a sippy cup knows if it pushes the sippy cup off the highchair, mom's coming running, and the kid's going to start laughing at mom. LLMs don't understand [that]."

"So we have to evolve to models that can capture the world and physics, and deal with the latency of not having access to video that you can't see — you have to try to model that. And not only does that take up a lot of processing power, but it takes up a lot of bandwidth."

"And so the Terminators taking over, I just don’t see how it’s going to happen."

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Hey ChatGPT, cure cancer, make no mistake.

The story of the machine learning researcher who used AlphaFold to treat his dog’s cancer has captured hearts around the world.

Faith in humanity restored.

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⚠️Val Kilmer (deceased actor) will be “resurrected via AI” to star in a new movie:

His entire body, voice, acting will be ai-generated. 1st major actor to be cast and not actually act. His family signed off on the rights to use his appearance

He was cast to be in the film in 2020 but fell ill (cancer) and sadly passed away, now his simulated body will live in a film.

Hollywood getting very weird...

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❗️Kelsey Plum, a WNBA player just launched an AI clone of herself..

Fans pay to talk to a chatbot that has her voice and her personality.. 24/7.. while the real one sleeps.

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❗️One of the richest men alive just put a target on every factory worker's job in America.

This is a $100 billion fund built to acquire physical companies and gut them with AI. Jeff Bezos said it himself, AI is the new electricity, it will be inside everything, underneath everything, powering everything.

Project Prometheus already raised $6.2 billion, recruited top engineers away from OpenAI, DeepMind, and Meta, and has been operating in near-total secrecy. The playbook is simple and brutal. Find manufacturers that AI is already disrupting, buy them at a discount, then automate whatever human labor remains Bezos has his sights on aerospace firms, computer manufacturers, and automobile companies.

The investors he is courting are not small players either. He has been in talks with JPMorgan's Jamie Dimon and Abu Dhabi's sovereign wealth fund, two of the most powerful pools of capital on Earth. Analysts are already comparing this to J.P. Morgan in the 1890s, when he bought failing railroads and steel mills and consolidated 67% of U.S. steel production under one roof. Bezos already controls the cloud infrastructure that most of the world's businesses run on. And now he wants to own the physical factories that build everything those businesses sell.

He turned a bookstore into the backbone of global commerce. He is running the exact same playbook again, just with assembly lines instead of warehouses. He is not betting on one company winning the AI race. He is building the infrastructure layer underneath all of them, physical, automated, and impossible to ignore.

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🗣Andrew Yang explains why lawyers will be replaced by AI

“The first thing that jumped into my mind when you said that was lawyer. Law school applications, last I checked, went up 21% last year, and I would suggest that was a flight to safety, and that stuff’s not safe at all. Lawyering is highly structured. It’s very process oriented. It’s kind of the ideal environment for AI”

“I have friends who are partners in law firms who say, ‘Look, I’m giving AI work that would have taken a second or third year associate a week to complete, and it gives it back to me in 20 minutes. So why on earth would I hire a small army of these associates?”

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🔥 This is a huge deal, massive win for AI labs, founders and builders in the USA.

Trump's new AI legal framework doesn't mess around, gloves are off:

- U.S. *does NOT* believe AI trained on copyright material violates copyright theft. MASSIVE win for anthropic, openai who have used copyrighted material.

- Data centers: full-speed ahead to build them. any increased costs for people should be subsidized.

- Trump intends to override state AI laws that create "undue burdens" aka if it prevents USA from beating china - it gets killed.

- NO new AI regulators - trump specifically told congress not to spin up further oversight. let the AI spice flow.

- No censorship of AI by government. very interesting given the recent pentagon anthropic drama.

So basically if you want to build crazy AI stuff, the US isn't going to be the one to stop you, huge 180 from their stance last year.

Amazing work David Sacks and whoever else worked on this.

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❗️Borrowed models, billion-dollar valuations and a licensing fight blowing up in public. Is this what the AI boom looks like at the top?

Cursor, an early player in the AI coding IDE wave out of Y Combinator, just launched its new model, Composer 2, positioning it as a major step forward in dev tooling.

The timing is notable. Just days earlier, the company closed a round at a ~$50B valuation, with backing from Google and Coatue. Revenue momentum is equally aggressive: ARR reportedly jumped from $1B to $2B in a single quarter.

Then things got messy. Moonshot AI, the team behind the open-source Kimi K2.5 model, publicly accused Cursor of building on top of their work without proper attribution.

Their license is simple:

• Free to use and modify
• But once you scale past $20M/month or 100M MAU, you must visibly credit “Kimi K2.5”

According to Moonshot, that didn’t happen. The implication: Composer 2 may not be as “from-scratch” as it was presented but rather a refined wrapper around an existing open model. The debate quickly escalated across tech Twitter, pulling in voices like Elon Musk and turning into a broader conversation about attribution, open-source norms, and startup ethics in AI.

And the numbers tell their own story:
• $4.3B valuation for the original model creator
• $50B valuation for the company packaging and distributing it

In this cycle, owning the interface not the invention might be the real moat.

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🗣 $NVDA CEO Jensen Huang says orbital data centers are feasible but face cooling constraints as space requires radiation-based heat dissipation instead of traditional methods.

He adds that Nvidia is already running CUDA in satellites and is exploring space-based compute.

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✅ AI agent that trains you end-to-end for interviews and helps you actually land the job

A new tool bundles the entire job hunt into one workflow, with 20+ commands covering everything from resume building to offer negotiation.

• Breaks down any job description, tailors your resume, runs mock interviews, and guides you through salary discussions
• Struggling with certain questions? It identifies weak spots and assigns targeted drills to improve fast
• Learns from real interview patterns across different companies and roles
• Can analyze transcripts from video calls (like Zoom or Meet) to catch mistakes and refine your answers
• Completely free to use

This is basically turning job prep into a repeatable system not guesswork.

https://github.com/noamseg/interview-coach-skill

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North Carolina musician used AI to generate songs, streamed them billions of times himself, and pocketed $8 million in royalties. Now he's going to prison for over a year and has to pay it all back.

First criminal streaming fraud case in U.S. history.

Source.

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🐄 AI collars turning cows into programmable assets

A startup called Halter just hit a $2B valuation after raising from Peter Thiel’s Founders Fund betting big on automating farming with AI. Software is now managing livestock

What it does:

• Solar-powered GPS collars guide cows using sound + vibration
replaces physical fences with “virtual boundaries”.
• Farmers control herds from a mobile app
• tracks health, fertility, and movement in real time
• core AI system (“Cowgorithm”) automates herd decisions

Traction:

l hundreds of thousands of cows already connected
• ~11,000 miles of virtual fencing deployed
• subscription model: ~$5–$8 per cow/month
• saves farmers major infrastructure + labor costs
• round was reportedly oversubscribed

why investors care:

• combines hardware + SaaS → sticky recurring revenue
• turns farms into data-driven systems
• expands AI from software into the physical world
• fits Founders Fund’s playbook: backing infrastructure shifts

Risks:

• hardware scaling is hard
• farmer adoption can be slow
• needs reliable connectivity in rural areas
• not a pure software margin business

This is what “AI eating the world” looks like not apps, but entire industries becoming programmable.

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This is bad, they're seriously walking around with "Stop Skynet" signs.

They've watched too many doom and gloom sci-fi movies. We still have a lot of educational work to do.

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❗️AI is redesigning how you get hired

AI isn’t just helping recruiters, it’s controlling the hiring funnel, changing how people build careers and land jobs.

How hiring works now:

• Most resumes are filtered by AI before any human sees them
• Algorithms rank, score, and shortlist candidates automatically
• Job hunting is shifting into an AI vs AI system

The new career layer:

• AI tools are becoming career copilots
• They help optimize resumes, prep interviews, and guide decisions
• Profiles are moving from static CVs → continuously optimized digital identities

What companies want:

• People who can use AI effectively, not avoid it
• Hybrid skills: technical + communication + judgment
• Adaptability is becoming more valuable than experience alone

The hidden shift:

• Entry-level roles are shrinking as AI handles basic tasks
• Traditional career ladders are breaking down
• Harder to gain experience through junior roles

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📢 Elon Musk finally announced the most ambitious manufacturing project since the Manhattan Project.

A $20B Austin chip fab meant to supply the AI hardware for Tesla, SpaceX, and xAI at enormous scale. 80% of chips go to space for giant solar-powered AI data centers (launched by Starships). 20% stay on Earth for Optimus robots, robotaxis, and self-driving. Production starts 2027.

- Musk estimated the Terafab would aim to initially produce 100,000 silicon wafers a month and could eventually grow to 1 million.
- Target output: over 1 terawatt (1TW) of compute per year
- Combines logic chips + memory + advanced packaging in one fab
- Vertically integrated with recursive self-improvement
- Chips for FSD, Optimus, Grok, Dojo and Starlink
- 80% powers solar-powered orbital AI data centers
- AI5: edge/inference chips for FSD and robotaxis
- AI6: next-gen chips powering Optimus robots
- D3: space-optimized chip variant
- D3 designed to run hotter to minimize radiator mass in orbit
- Showed 100kW AI Starlink Mini satellite prototype
- Future AI Starlink satellites scale to megawatt range
- Optimus target scale: 1-10 billion units per year
- Optimus projected compute need: 100-200 GW
- Targeting 2nm process technology
- Elon Musk quote: "the next step towards becoming a galactic civilization"

The Terafab idea is vertical integration at the chip level, with an Austin site meant to design, test, package, and eventually manufacture chips fast enough that product plans are not stuck behind supplier timelines.

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🇨🇳 In China, people are renting these bionic robots for shops/events.

This is Xiaomei, built on Unitree body by Embodydeep. She blinks, talks & dances at Shanghai's Iizhizu robot rental launch.

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OpenClaw generates video on Seedance 2, import into premiere pro and edit.. all by itself.

This is insane, we will be creating oscar winning movies without breaking a sweat.

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Difference explained well.

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SpaceX has released a new video of the electromagnetic mass driver it plans to build on the Moon, which will shoot massive AI satellites into orbit.

The satellites will use Tesla chips.

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This is CRAZY..

The world’s most powerful social media company is training an AI agent to sit beside its CEO, helping Mark Zuckerberg run Meta.

This is not a chatbot that answers emails but it retrieves information that would normally require him to go through layers of people inside the company.

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