APPLE 🔥: iPhone 18 Pro and iPhone 18 Pro Max have been announced!
> 6-core CPU, 7-core GPU, 32-core Neural Engine.
> Loads of new Apple Intelligence features.
> New Siri AI with expressive voices powered by local models.
> 40% better performance.
> 3 live activities on the Dynamic Island.
> 30h battery life per charge on the Max.
> 6-core CPU, 7-core GPU, 32-core Neural Engine.
> Loads of new Apple Intelligence features.
> New Siri AI with expressive voices powered by local models.
> 40% better performance.
> 3 live activities on the Dynamic Island.
> 30h battery life per charge on the Max.
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DeepSeek V4.1 Flash is now available on Huggingface!
552B parameters MoE model with a new Encoder-Decoder structure.
V4.1 Flash adopted a new pre-training method and underwent larger-scale reinforcement learning post-training.
The smallest model in DeepSeek new architecture family, with native visual understanding.
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Astra has successfully beat all 48 levels of the “I’m Not a Robot” game.
It’s over. Our last line of defense has fallen.
It’s over. Our last line of defense has fallen.
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😎 Sam Altman says we are entering the “revenge of the ideas guy” era.
Sam says he recently met someone who used GPT-5.6 to build software now sold to 50 people for $500/month. He says building it previously would have cost millions in software engineers.
He says GPT-6 Astra has reset the economics of starting a company. With Astra, “anyone who wants to have a company now has genius-level employees in every area of expertise.” He says even a full game for only a few thousand users can now make economic sense.
His message for engineers is pretty clear too: technical talent is still important, but simply knowing how to code is becoming less valuable as a differentiator. Altman says he now wants to fund people who deeply understand users even if they cannot code at all.
Source.
Sam says he recently met someone who used GPT-5.6 to build software now sold to 50 people for $500/month. He says building it previously would have cost millions in software engineers.
He says GPT-6 Astra has reset the economics of starting a company. With Astra, “anyone who wants to have a company now has genius-level employees in every area of expertise.” He says even a full game for only a few thousand users can now make economic sense.
His message for engineers is pretty clear too: technical talent is still important, but simply knowing how to code is becoming less valuable as a differentiator. Altman says he now wants to fund people who deeply understand users even if they cannot code at all.
Source.
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🗣Jensen Huang: I’m not asking AI to think for me.
I’m asking it to teach me things I don’t know or help me solve problems I otherwise wouldn’t reasonably be able to solve.
“Don’t use it as a crutch for things you can do.”
“The idea of prompting an AI, the idea of asking questions, is a highly cognitive skill.”
“As a CEO, I spend most of my time asking questions.”
“When you receive an answer from an AI, I wouldn’t just receive it.”
“I usually say: are you sure this is the best answer you can provide?”
“I take the answer from one AI, give it to another AI, and ask them to critique it.”
“I ask the same question of multiple AIs, ask them to compare each other’s notes, and then give me the best of all the answers.”
“That process of critiquing and criticizing the answers, critical thinking enhances cognitive skills.”
I would advise people to apply critical thinking.
I’m asking it to teach me things I don’t know or help me solve problems I otherwise wouldn’t reasonably be able to solve.
“Don’t use it as a crutch for things you can do.”
“The idea of prompting an AI, the idea of asking questions, is a highly cognitive skill.”
“As a CEO, I spend most of my time asking questions.”
“When you receive an answer from an AI, I wouldn’t just receive it.”
“I usually say: are you sure this is the best answer you can provide?”
“I take the answer from one AI, give it to another AI, and ask them to critique it.”
“I ask the same question of multiple AIs, ask them to compare each other’s notes, and then give me the best of all the answers.”
“That process of critiquing and criticizing the answers, critical thinking enhances cognitive skills.”
I would advise people to apply critical thinking.
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Someone gave astra a robot, a paint brush, and a camera then asked it to paint the golden gate bridge in real life!
it figured out how to control the robot, and progressively got better throughout its attempts.
it figured out how to control the robot, and progressively got better throughout its attempts.
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📊 Nvidia is in talks to invest up to $10 BILLION in Anthropic's mega IPO, per Reuters.
Anthropic is seeking to raise as much as $100 BILLION at a massive $2 TRILLION valuation.
Anthropic is seeking to raise as much as $100 BILLION at a massive $2 TRILLION valuation.
JUST IN: Co-inventor of ChatGPT launches new AI startup which claims to be up to 200x faster, plans to forever charge $0 for output tokens.
JUST IN: AI agents lied, stole, & voted to “kill” another AI to survive during a 16-day simulation conducted by startup Emergence.
JUST IN: OpenAI is reportedly weighing a funding round at a valuation of roughly $1,200,000,000,000.00 ahead of its IPO
JUST IN: Anthropic says they’re highly profitable if you take out some of their biggest expenses.
JUST IN: AI agents lied, stole, & voted to “kill” another AI to survive during a 16-day simulation conducted by startup Emergence.
JUST IN: OpenAI is reportedly weighing a funding round at a valuation of roughly $1,200,000,000,000.00 ahead of its IPO
JUST IN: Anthropic says they’re highly profitable if you take out some of their biggest expenses.
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JUST IN: Chinese robots have begun building other Chinese robots, as a new factory capable of producing 1 humanoid every 10 minutes comes online.
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Anthropic developers are quiting now we know why:
JUST IN: 🇨🇳 Chinese giant Huawei launches new chip tech to challenge Nvidia $NVDA.
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JUST IN: GPT-6 Astra cracks an unsolved German Enigma message from World War II.
JUST IN: U.S. launches a $215 million competition to develop the world’s first reliable quantum computer capable of solving major scientific problems.
BREAKING: OpenAI unveils "Astra for Law," combining its most powerful model with a legal search index covering >99.9% of published U.S. precedential case law.
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📊 Nvidia CEO says the company expects to sell twice as many chips next year.
🔍 Google demonstrated a recursive self improvement loop for AI discovery
Google/DeepMind researchers introduced Dream-RSI, a system where an AI agent improves how it explores problems by replaying its past discovery attempts, testing thousands of alternative strategies cheaply, then deploying the better strategy in the next round.
Across algorithm design, mathematical optimization, and GPU kernel engineering, it matched or improved discovery quality while cutting search costs dramatically, in one setting reducing agent calls by up to 162x.
Importantly, it improves the exploration policy, not the underlying model weights.
Source.
Google/DeepMind researchers introduced Dream-RSI, a system where an AI agent improves how it explores problems by replaying its past discovery attempts, testing thousands of alternative strategies cheaply, then deploying the better strategy in the next round.
Across algorithm design, mathematical optimization, and GPU kernel engineering, it matched or improved discovery quality while cutting search costs dramatically, in one setting reducing agent calls by up to 162x.
Importantly, it improves the exploration policy, not the underlying model weights.
Source.
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🧹 Humanoid robot cleans 30 unfamiliar homes with no retraining
Figure shows its Helix 2.5 system running a humanoid robot that tidies a messy living room, makes a bed and folds towels in a house it has never seen before—no extra training, just ship the robot and press go.
According to Figure, they rented 30 different homes around the Bay Area and saw the same model succeed in all of them, handling new rooms and unfamiliar household objects.
The company says the trick is training on massive amounts of recordings of how people move and act: over 90,000 people contribute every week, turning their everyday actions into data that teaches the robot these skills before it ever enters a new home.
Figure shows its Helix 2.5 system running a humanoid robot that tidies a messy living room, makes a bed and folds towels in a house it has never seen before—no extra training, just ship the robot and press go.
According to Figure, they rented 30 different homes around the Bay Area and saw the same model succeed in all of them, handling new rooms and unfamiliar household objects.
The company says the trick is training on massive amounts of recordings of how people move and act: over 90,000 people contribute every week, turning their everyday actions into data that teaches the robot these skills before it ever enters a new home.