🤖 Neo: the $20,000 humanoid housekeeper that might be watching you
The future of home robots is here. 1X’s Neo can fetch water, load your dishwasher, and lift 150 pounds. You can pre-order it now for $20,000, with delivery in 2026.
The catch? Most of Neo’s tasks are still guided by a human operator using VR controls. In other words, someone could be looking through its camera eyes to help it clean your house. 🫣
Neo moves with muscle-like tendons and learns by watching humans, but every action becomes training data for its AI. The company promises privacy tools like blurred faces and no-go zones, yet the trade-off is clear.
⚖️ Neo isn’t just a gadget. It’s a test of how much privacy we’ll sacrifice for convenience. Would you let it into your home?
The future of home robots is here. 1X’s Neo can fetch water, load your dishwasher, and lift 150 pounds. You can pre-order it now for $20,000, with delivery in 2026.
The catch? Most of Neo’s tasks are still guided by a human operator using VR controls. In other words, someone could be looking through its camera eyes to help it clean your house. 🫣
Neo moves with muscle-like tendons and learns by watching humans, but every action becomes training data for its AI. The company promises privacy tools like blurred faces and no-go zones, yet the trade-off is clear.
⚖️ Neo isn’t just a gadget. It’s a test of how much privacy we’ll sacrifice for convenience. Would you let it into your home?
YouTube
NEO The Home Robot | Order Today
NEO is a safe humanoid robot that does your chores and offers personalized assistance. Order now: https://1x.tech/neo
Connect with 1X:
Website: https://1x.tech
X: https://x.com/1x_tech
LinkedIn: https://www.linkedin.com/company/1x-technologies/
Instagram:…
Connect with 1X:
Website: https://1x.tech
X: https://x.com/1x_tech
LinkedIn: https://www.linkedin.com/company/1x-technologies/
Instagram:…
❤9👍3🔥2👌1💯1
This media is not supported in your browser
VIEW IN TELEGRAM
It’s getting impossible to tell what’s real anymore.
Ali’s Wan 2.2 now lets you stream without ever showing your face — it clones your voice and movements onto another person’s. A perfect deepfake in real time.
Welcome to the uncanny valley, population: everyone. 👀
Ali’s Wan 2.2 now lets you stream without ever showing your face — it clones your voice and movements onto another person’s. A perfect deepfake in real time.
Welcome to the uncanny valley, population: everyone. 👀
❤15👍5🔥4👌1
💰 OpenAI signs a $38 billion deal with Amazon
OpenAI will host its AI servers on Amazon Web Services powered by NVIDIA GPUs, in one of the biggest cloud deals ever. The agreement spans seven years and involves hundreds of thousands of GB200 and GB300 chips.
Despite losing billions annually, OpenAI keeps scaling fast, relying on massive loans and investor funding. Analysts warn of a growing AI debt bubble connecting giants like Amazon, NVIDIA, Oracle, and Microsoft.
OpenAI will host its AI servers on Amazon Web Services powered by NVIDIA GPUs, in one of the biggest cloud deals ever. The agreement spans seven years and involves hundreds of thousands of GB200 and GB300 chips.
Despite losing billions annually, OpenAI keeps scaling fast, relying on massive loans and investor funding. Analysts warn of a growing AI debt bubble connecting giants like Amazon, NVIDIA, Oracle, and Microsoft.
❤6👍2👌2
🍏 Apple gives up on its own AI, turns to Google
Apple has asked Google to build a custom Gemini model to power the new Siri AI, set for 2026. The move confirms that Apple’s in-house AI couldn’t keep up with OpenAI or Anthropic.
Siri’s “Apple Intelligence” will now rely on both Gemini and ChatGPT, raising questions about Apple’s independence in the AI race.
Apple has asked Google to build a custom Gemini model to power the new Siri AI, set for 2026. The move confirms that Apple’s in-house AI couldn’t keep up with OpenAI or Anthropic.
Siri’s “Apple Intelligence” will now rely on both Gemini and ChatGPT, raising questions about Apple’s independence in the AI race.
1❤4🥴4👍3
🧩 OpenAI drops the “nonprofit” mask
OpenAI is now officially a for-profit company, recapitalized with $130 billion under a new philanthropic foundation that controls the corporation.
Microsoft still owns 27% of the company but loses exclusivity. OpenAI can now host ChatGPT on AWS, powered by hundreds of thousands of NVIDIA GPUs.
In other words, Microsoft still gets paid, but OpenAI just moved in with Amazon.
💰 The company has committed to spending $250 billion on compute over the next few years, as the cloud cold war heats up.
Meanwhile, internal power struggles surface: secret memos, backroom plots against Sam Altman, and broken alliances.
OpenAI is now officially a for-profit company, recapitalized with $130 billion under a new philanthropic foundation that controls the corporation.
Microsoft still owns 27% of the company but loses exclusivity. OpenAI can now host ChatGPT on AWS, powered by hundreds of thousands of NVIDIA GPUs.
In other words, Microsoft still gets paid, but OpenAI just moved in with Amazon.
💰 The company has committed to spending $250 billion on compute over the next few years, as the cloud cold war heats up.
Meanwhile, internal power struggles surface: secret memos, backroom plots against Sam Altman, and broken alliances.
3❤6🥰4👍2
It’s one of the easiest ways to spot AI-generated text: the constant flood of em dashes —. Models sprinkle them everywhere, and it’s almost impossible to make them stop. But why?
🧩 Some people say it’s because the training data had lots of them, but that doesn’t hold up. Human writing doesn’t use nearly as many. Others claim it’s a “safe” punctuation mark that lets the model delay its next thought. Not convincing either.
A better theory is that modern AIs were trained on digitized books from the 19th and early 20th centuries, which were full of em dashes. When OpenAI and others started scanning old print archives to get “high-quality” text, they basically taught models Victorian punctuation habits.
📚 Back then, em dash usage peaked around 1860, so it makes sense that GPT-4 and its cousins write like 19th-century novelists.
So no, AI doesn’t “think” em dashes sound smarter. It just learned English from Moby Dick.
Please open Telegram to view this post
VIEW IN TELEGRAM
21❤6👏3👍1💯1
🧠 Anthropic bets on AGI by 2027
Dario Amodei claims we could reach a country of geniuses in a datacenter by early 2027, an AI smarter than Nobel winners and capable of coding, writing, and running experiments on its own.
It’s the boldest official timeline in the industry, but not everyone agrees. Current data suggests we’re still far from full automation of AI research or engineering. To hit 2027, progress would need to explode beyond every existing curve.
Even so, it’s a warning. If Anthropic is even half right, the world isn’t ready for what’s coming.
⚙️ We might be 15 months away from a new kind of intelligence or from realizing how far we still are from true AGI.
Dario Amodei claims we could reach a country of geniuses in a datacenter by early 2027, an AI smarter than Nobel winners and capable of coding, writing, and running experiments on its own.
It’s the boldest official timeline in the industry, but not everyone agrees. Current data suggests we’re still far from full automation of AI research or engineering. To hit 2027, progress would need to explode beyond every existing curve.
Even so, it’s a warning. If Anthropic is even half right, the world isn’t ready for what’s coming.
⚙️ We might be 15 months away from a new kind of intelligence or from realizing how far we still are from true AGI.
Darioamodei
Dario Amodei — Machines of Loving Grace
How AI Could Transform the World for the Better
1❤7👍5🔥1
Its new Ironwood TPUs rival Nvidia’s Blackwell in raw power and crush it in scale. Each chip hits 4.6 PFLOPS with 192 GB of HBM3e, and Google can connect up to 400,000 of them through its Jupiter network.
That means Anthropic and others could train massive models on hardware that’s cheaper, denser, and fully controlled by Google.
Nvidia still leads in software, but if Ironwood performs at scale, Jensen’s empire might finally have a real challenger. ⚡️
Please open Telegram to view this post
VIEW IN TELEGRAM
2👍6❤4
🤖 OpenAI is preparing GPT-5.1 Thinking, a new model focused on multi-step reasoning and deeper context, just in time to counter Google’s upcoming Gemini 3 Pro.
Leaks mention several variants like Mini and Codex, each tuned for different “thinking budgets” aimed at power users and developers.
This update could be OpenAI’s biggest leap in reasoning yet, arriving right before Gemini enters the arena.
Leaks mention several variants like Mini and Codex, each tuned for different “thinking budgets” aimed at power users and developers.
This update could be OpenAI’s biggest leap in reasoning yet, arriving right before Gemini enters the arena.
6❤6👍5
📉 Companies keep blaming AI for mass layoffs, but the numbers don’t add up.
Between January and September, more than 946,000 jobs were cut, and most had nothing to do with automation. Economists call it AI washing: firing people to boost stock prices while pretending it’s about efficiency.
The truth is that firms are trimming bloated management, chasing investor hype, and shifting billions from payroll into GPU investments, turning operating budgets into so-called AI innovation.
AI isn’t replacing workers. It’s replacing excuses.
Between January and September, more than 946,000 jobs were cut, and most had nothing to do with automation. Economists call it AI washing: firing people to boost stock prices while pretending it’s about efficiency.
The truth is that firms are trimming bloated management, chasing investor hype, and shifting billions from payroll into GPU investments, turning operating budgets into so-called AI innovation.
AI isn’t replacing workers. It’s replacing excuses.
🤝5❤4
💸 Meta lost $200B in a week right after reporting record profits.
Zuckerberg raised AI spending to $70B for 2025 and hinted at $600B over three years but couldn’t explain what Meta is actually building or when it will make money. Investors sold fast.
Google, Microsoft, and Nvidia can justify their AI spending with real products and revenue. Meta can’t. 98% of its income still comes from ads.
It’s not just AI research. They’re shifting operational cash into massive GPU investments. If superintelligence doesn’t arrive soon, this could be another Metaverse-level mistake.
Zuckerberg raised AI spending to $70B for 2025 and hinted at $600B over three years but couldn’t explain what Meta is actually building or when it will make money. Investors sold fast.
Google, Microsoft, and Nvidia can justify their AI spending with real products and revenue. Meta can’t. 98% of its income still comes from ads.
It’s not just AI research. They’re shifting operational cash into massive GPU investments. If superintelligence doesn’t arrive soon, this could be another Metaverse-level mistake.
❤13👍1
🧠 Altman and Masa fund a new Bell Labs
Sam Altman and Masayoshi Son are backing Episteme, a San Francisco lab founded by 27-year-old Louis Andre to reinvent scientific research.
The project will fund top scientists with salaries and equity instead of grants, letting them focus on breakthroughs in AI, energy, and biotech.
Andre calls it a “third path” between academia and startups, built to restore the spirit of Bell Labs and Xerox PARC.
Sam Altman and Masayoshi Son are backing Episteme, a San Francisco lab founded by 27-year-old Louis Andre to reinvent scientific research.
The project will fund top scientists with salaries and equity instead of grants, letting them focus on breakthroughs in AI, energy, and biotech.
Andre calls it a “third path” between academia and startups, built to restore the spirit of Bell Labs and Xerox PARC.
❤5👍3🔥2🤝1
🕵️♂️ Your chatbot might be leaking secrets
Microsoft researchers found a new cyberattack called “Whisper Leak” that can guess what you’re talking about with your AI, even when the chat is encrypted.
The trick? 📡 It reads traffic patterns like packet size and timing, not your actual words. In tests, it reached 98% accuracy on models from OpenAI, Anthropic, Google, AWS, and others.
That means someone watching your network could tell if you’re discussing politics, protests, or human rights, without breaking encryption.
⚙️ Companies like Microsoft, OpenAI, Mistral, and xAI have added defenses: random padding, token batching, and fake data packets to confuse attackers. These fixes work but can slightly slow responses.
💡 Even encrypted AI chats can reveal what you’re talking about, just not the words themselves.
Microsoft researchers found a new cyberattack called “Whisper Leak” that can guess what you’re talking about with your AI, even when the chat is encrypted.
The trick? 📡 It reads traffic patterns like packet size and timing, not your actual words. In tests, it reached 98% accuracy on models from OpenAI, Anthropic, Google, AWS, and others.
That means someone watching your network could tell if you’re discussing politics, protests, or human rights, without breaking encryption.
⚙️ Companies like Microsoft, OpenAI, Mistral, and xAI have added defenses: random padding, token batching, and fake data packets to confuse attackers. These fixes work but can slightly slow responses.
💡 Even encrypted AI chats can reveal what you’re talking about, just not the words themselves.
👍5❤4👏2😁2
🧠 OpenAI just dropped GPT 5.1 for all ChatGPT users
The update arrives with two upgraded modes: Instant and Thinking. Both hit harder, respond more naturally and follow instructions with fewer slips.
Instant now adjusts its reasoning time depending on the difficulty of the prompt. That bump pushes its math and coding scores higher while keeping chat speed fast.
Thinking becomes the heavy hitter. It changes its deliberation per question so simple tasks feel snappy and complex ones get deeper analysis with cleaner explanations.
✨ ChatGPT also gains new tone presets like Default, Professional, Friendly, Candid, Quirky and Efficient. A small group of users can test new sliders to tune brevity, warmth and emoji use. Changes apply instantly in all ongoing chats.
Paid users get access first. Free users are next in line. Polaris Alpha on OpenRouter is confirmed to be GPT 5.1.
The update arrives with two upgraded modes: Instant and Thinking. Both hit harder, respond more naturally and follow instructions with fewer slips.
Instant now adjusts its reasoning time depending on the difficulty of the prompt. That bump pushes its math and coding scores higher while keeping chat speed fast.
Thinking becomes the heavy hitter. It changes its deliberation per question so simple tasks feel snappy and complex ones get deeper analysis with cleaner explanations.
✨ ChatGPT also gains new tone presets like Default, Professional, Friendly, Candid, Quirky and Efficient. A small group of users can test new sliders to tune brevity, warmth and emoji use. Changes apply instantly in all ongoing chats.
Paid users get access first. Free users are next in line. Polaris Alpha on OpenRouter is confirmed to be GPT 5.1.
❤8👌3💯1
🍌 Nano Banana is kinda insane right now
Google’s new image model is doing stuff most generators just can’t. People are throwing absurd prompts at it and it keeps following every rule: complex edits, camera specs, JSON character sheets, multi-step instructions, you name it. The prompt adherence is way above ChatGPT’s image model.
It’s not great at style transfer, but if you can describe it, Nano Banana usually nails it with almost no slop.
Click here want the full deep dive.
Google’s new image model is doing stuff most generators just can’t. People are throwing absurd prompts at it and it keeps following every rule: complex edits, camera specs, JSON character sheets, multi-step instructions, you name it. The prompt adherence is way above ChatGPT’s image model.
It’s not great at style transfer, but if you can describe it, Nano Banana usually nails it with almost no slop.
Click here want the full deep dive.
Max Woolf's Blog
Nano Banana can be prompt engineered for extremely nuanced AI image generation
Nano Banana allows 32,768 input tokens and I’m going to try to use them all dammit.
❤14👍2
🤖 Google is gearing up to launch Nano Banana Pro next week
Google is expected to roll out Gemini 3 and the new Nano Banana Pro next week, and all signs point to a major upgrade. A hidden promo inside Google Vids mentions “quickly generate beautiful images… using Nano Banana Pro,” which basically confirms a jump in image quality and resolution.
The Pro label strongly suggests it’s powered by Gemini 3 Pro, not the Flash variant behind the current Nano Banana. If true, Google is clearly aiming at high-fidelity visual generation and bringing those improvements across Vids, Slides, and its whole creative suite.
For creators and teams, this could mean sharper output, better control, and production-grade visuals baked into Google’s ecosystem.
🔥 All eyes on the week of November 22.
Google is expected to roll out Gemini 3 and the new Nano Banana Pro next week, and all signs point to a major upgrade. A hidden promo inside Google Vids mentions “quickly generate beautiful images… using Nano Banana Pro,” which basically confirms a jump in image quality and resolution.
The Pro label strongly suggests it’s powered by Gemini 3 Pro, not the Flash variant behind the current Nano Banana. If true, Google is clearly aiming at high-fidelity visual generation and bringing those improvements across Vids, Slides, and its whole creative suite.
For creators and teams, this could mean sharper output, better control, and production-grade visuals baked into Google’s ecosystem.
🔥 All eyes on the week of November 22.
❤14🔥3👍1
🤖⚡️ Gemini 3 is here and Google just wired it into Search
Google dropped its new flagship model and plugged it straight into the new AI Mode in Search.
It hits record scores, handles text, images, video, code, and comes with a million-token context. It’s also more direct and less sugarcoated.
Google launched Antigravity too, an agent platform where the AI can plan and execute full software tasks.
Google dropped its new flagship model and plugged it straight into the new AI Mode in Search.
It hits record scores, handles text, images, video, code, and comes with a million-token context. It’s also more direct and less sugarcoated.
Google launched Antigravity too, an agent platform where the AI can plan and execute full software tasks.
Google
Gemini 3 brings upgraded smarts and new capabilities to the Gemini app
Today we’re unveiling a major update for the Gemini app, and it all starts with Gemini 3.
👍12❤6
🔥 Google is sweating right now
At an internal all-hands they dropped it bluntly:
they need to double AI capacity every 6 months or they won’t keep up.
Pichai says 2026 will be “intense”. Translation: demand is exploding faster than Google can build data centers.
Even Veo could have had way more users, but they couldn’t open access because they literally ran out of compute.
The real message: the bottleneck isn’t the models… it’s everything underneath.
Google’s flooring the gas, but the road is cracking under the wheels.
At an internal all-hands they dropped it bluntly:
they need to double AI capacity every 6 months or they won’t keep up.
Pichai says 2026 will be “intense”. Translation: demand is exploding faster than Google can build data centers.
Even Veo could have had way more users, but they couldn’t open access because they literally ran out of compute.
The real message: the bottleneck isn’t the models… it’s everything underneath.
Google’s flooring the gas, but the road is cracking under the wheels.
❤11
⚡️ AI vs LNG: who gets the gas?
US power demand is exploding because of AI. Solar can’t keep up. Batteries can’t keep up. The grid is cooked.
So the US is basically sprinting back to natural gas as the only thing that can feed the AI beast right now.
Hyperscalers want cheap gas for datacenters. LNG exporters want the same gas to ship overseas. They’re about to collide. Hard.
The next decade = gas-fired intelligence. Grow baseload first, argue about renewables later.
Bottom line:
AI demand is rewriting the entire US energy system. And the gas wars are just getting started.
US power demand is exploding because of AI. Solar can’t keep up. Batteries can’t keep up. The grid is cooked.
So the US is basically sprinting back to natural gas as the only thing that can feed the AI beast right now.
Hyperscalers want cheap gas for datacenters. LNG exporters want the same gas to ship overseas. They’re about to collide. Hard.
The next decade = gas-fired intelligence. Grow baseload first, argue about renewables later.
Bottom line:
AI demand is rewriting the entire US energy system. And the gas wars are just getting started.
1❤19
DeepSeek just swung at GPT 5 and Gemini 👀🔥
China isn’t slowing down. DeepSeek dropped two new models and the confidence is wild. The V3.2 claims GPT 5 level reasoning and can think while using tools like search, calculators, and code. Actual multitasking.
Then comes Speciale, a math-focused model that matches Gemini 3 Pro and hits Olympic-level scores on math and informatics tests. Ridiculous power.
The message is clear. DeepSeek wants the lead with fast, open models that punch way above their weight. Every release adds pressure on Google and OpenAI.
China isn’t slowing down. DeepSeek dropped two new models and the confidence is wild. The V3.2 claims GPT 5 level reasoning and can think while using tools like search, calculators, and code. Actual multitasking.
Then comes Speciale, a math-focused model that matches Gemini 3 Pro and hits Olympic-level scores on math and informatics tests. Ridiculous power.
The message is clear. DeepSeek wants the lead with fast, open models that punch way above their weight. Every release adds pressure on Google and OpenAI.
X (formerly Twitter)
DeepSeek (@deepseek_ai) on X
🚀 Launching DeepSeek-V3.2 & DeepSeek-V3.2-Speciale — Reasoning-first models built for agents!
🔹 DeepSeek-V3.2: Official successor to V3.2-Exp. Now live on App, Web & API.
🔹 DeepSeek-V3.2-Speci…
🔹 DeepSeek-V3.2: Official successor to V3.2-Exp. Now live on App, Web & API.
🔹 DeepSeek-V3.2-Speci…
❤8
IBM just said the quiet part out loud about AI datacenters ⚡️💸
Everyone is pouring trillions into AI compute like it’s guaranteed to pay off. IBM’s CEO just ran the math and basically said: no chance. At today’s costs, the numbers don’t add up at all.
His take is harsh. Filling a single 1 GW datacenter costs around 80 billion dollars. Scale that to the global AI race and you land near 8 trillion. To justify it, the industry would need 800 billion in profit just to cover interest. Nobody is close.
And the kicker? He puts the chance of reaching AGI with current tech at 0 to 1 percent. Meanwhile companies keep asking devs to “implement AI” without even knowing why, and half the market is running on FOMO.
Feels like everyone is sprinting into a wall hoping it magically becomes a door.
Everyone is pouring trillions into AI compute like it’s guaranteed to pay off. IBM’s CEO just ran the math and basically said: no chance. At today’s costs, the numbers don’t add up at all.
His take is harsh. Filling a single 1 GW datacenter costs around 80 billion dollars. Scale that to the global AI race and you land near 8 trillion. To justify it, the industry would need 800 billion in profit just to cover interest. Nobody is close.
And the kicker? He puts the chance of reaching AGI with current tech at 0 to 1 percent. Meanwhile companies keep asking devs to “implement AI” without even knowing why, and half the market is running on FOMO.
Feels like everyone is sprinting into a wall hoping it magically becomes a door.
Business Insider
IBM CEO says there is 'no way' spending trillions on AI data centers will pay off at today's infrastructure costs
IBM CEO Arvind Krishna walked through some napkin math on Big Tech's AI data center spending — and raised some doubts on if it'll prove profitable.
❤12🤬1