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We humans will be more like operators, guiding humanoids as the real workforce in factories. The future looks bright.
@aipost🏴
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If AI-generated video looks like this now, imagine how it will be in the future.
The film industry as we know it today only has a few years left.
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The film industry as we know it today only has a few years left.
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Unhealthy emotional attachment has led to psychological harm in some documented cases. As systems gain more planning ability, risks could scale rapidly beyond today’s limits.
Worst-case outcomes include misuse by bad actors, power concentration, or loss of human control.
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- 6-month full-time paid research gig in SF
- ~$220K annualized ($18.3K/month) + relocation
- NO prior ML/AI experience required, just strong technical fundamentals & fast learning
- Work on frontier AI with top researchers
Interviews starts in Jan 2026
Apply: https://openai.com/careers/residency-2026-san-francisco/…
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UBTECH 1000. The robot has rolled off the production line. Mass production of the robots is starting in China.
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Google DeepMind CEO Demis Hassabis: AGI will be 10x bigger than the industrial revolution and 10x faster.
To reiterate: I think we will see the first significant changes in many scientific fields in 2026.
@aipost🏴
To reiterate: I think we will see the first significant changes in many scientific fields in 2026.
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Google Research just dropped the textbook killer.
Its called "Learn Your Way" and it uses LearnLM to transform any PDF into 5 personalized learning formats. Students using it scored 78% vs 67% on retention tests.
The education revolution is here.
https://learnyourway.withgoogle.com
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Its called "Learn Your Way" and it uses LearnLM to transform any PDF into 5 personalized learning formats. Students using it scored 78% vs 67% on retention tests.
The education revolution is here.
https://learnyourway.withgoogle.com
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No application.
No tuition.
No “elite access”.
Stanford released its actual AI/ML curriculum on YouTube. Not a PR-friendly intro. Not “AI for the public”.
This is the real thing. The same lectures shaping people working on frontier models.
What just became public:
Deep Learning (CS230)
Transformers & LLMs (CME295)
Language Models from Scratch (CS336)
ML from Human Feedback (CS329H)
Computer Vision (CS231N)
LLM Evaluation & Scaling
The uncomfortable truth:
The degree isn’t the scarce asset anymore. Execution speed is. Top schools know this. That’s why they’re publishing the playbook.
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Porcospino Flex: A bio-inspired single-track robot built to squeeze and grip through confined spaces
Two things stand out in particular: For the development of robotics, it is essential to look to the animal kingdom for inspiration. Creativity is crucial for discovering new use cases.
@aipost🏴
Two things stand out in particular: For the development of robotics, it is essential to look to the animal kingdom for inspiration. Creativity is crucial for discovering new use cases.
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Satya Nadella revealed Bill Gates saw the intial $1B OpenAI bet as burning cash.
Microsoft made the move anyway, knowing it was high-risk, with no guarantee of upside.
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Microsoft made the move anyway, knowing it was high-risk, with no guarantee of upside.
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Fully autonomous combat robots patrolling the war in Ukraine. War is terrible, but war is now being fought with AI and robotics.
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He says in his 20s all he wanted to do was write programs, all the way through college and grad school, and that this is what built his career.
But now, every single thing he learned back then can be done by AI. "Each and every one of you has a supercomputer and superprogrammer in your pocket."
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Trump: "We're gonna need the help of robots and other forms of ... I guess you could say employment. We're gonna be employing a lot of artificial things."
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"The bottom line: Everyone gets paid. A lot." Most Groq shareholders get per-share distributions tied to that valuation, with about 85% paid up front, 10% in mid-2026, and the rest by end-2026. About 90% of Groq employees are expected to join Nvidia and get cash for vested shares, plus Nvidia stock for unvested value that vests over time.
Around 50 people reportedly get full acceleration, meaning their whole stock package gets paid out in cash right away. Employees who stay at Groq still get paid for vested shares and also get a package that keeps them economically tied to the ongoing standalone company.
Anyone with under 1 year of tenure is said to have the vesting cliff removed so they still receive some liquidity. Groq had raised about $3.3B since 2016, including $750M at nearly a $7B post-money valuation, and it had never run a secondary tender.
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Sam Altman says OpenAI’s models are “beginning to find critical vulnerabilities,” so OpenAI is hiring a $555,000 Head of Preparedness to tighten how it tests and ships agentic systems.
The job listing says the role runs OpenAI’s Preparedness Framework, building capability evaluations, threat models, and mitigations for cybersecurity, biosecurity, and AI self-improvement.
OpenAI has earlier warned that frontier models could enable 0-day remote exploits, and recently Anthropic reported a China-linked campaign using Claude Code against about 30 targets with 80%-90% automation, so “advisor” models are starting to look like operators.
https://openai.com/careers/head-of-preparedness-san-francisco/
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The job listing says the role runs OpenAI’s Preparedness Framework, building capability evaluations, threat models, and mitigations for cybersecurity, biosecurity, and AI self-improvement.
OpenAI has earlier warned that frontier models could enable 0-day remote exploits, and recently Anthropic reported a China-linked campaign using Claude Code against about 30 targets with 80%-90% automation, so “advisor” models are starting to look like operators.
https://openai.com/careers/head-of-preparedness-san-francisco/
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Morgan Stanley research projects a 44 gigawatt power gap, that current grids and construction plans cannot fill. US data centers are expected to need 69 gigawatts of power between 2025 and 2028, but only 10 gigawatts are coming from projects with their own power and 15 gigawatts from spare grid capacity, leaving a 44 gigawatt shortfall.
That 44 gigawatts is roughly the output of 44 nuclear power plants and with $60B per gigawatt capex needed. Multiplying that by the 44 gigawatt gap gives about $2.6T just for new power generation and grid upgrades, and this does not include another roughly $2T needed to actually build the data centers that will use that electricity.
So the full bill to close this near term gap is on the order of $4.6T
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Colossus2 is a Tennessee and Mississippi buildout that is already pushing past 400MW and aiming for about 2GW at 1 site, including outside power generation equipment to move faster than normal utility timelines.
Musk has ealier also claimed about 230,000 GPUs are already training Grok while targeting 50M “H100-equivalent” GPUs within 5 years.
Using Nvidia’s “up to 700W” H100 SXM spec, 50M H100-equivalents would be about 35GW just for GPUs.
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