Write a Twitter thread (X thread) about the very latest AI news, formatted as follows: 1. **First tweet (hook):** * Spark curiosity with a provocative question or surprising statement about AI today. * Tease that you'll share several must-know developments in the thread. * Keep it ≤280 characters and avoid hashtags. 2. **Subsequent tweets (one per news item):** For each: * **Headline/Context (concise):** A short phrase identifying the development (e.g., “Major breakthrough in multimodal models”). * **Key insight:** State the single most important takeaway or implication (“It can now generate lifelike videos from text prompts, potentially transforming content creation.”). * **Why it matters / curiosity angle:** A brief note on impact or a rhetorical question that encourages engagement (“Could this replace human editors?”). * **Brevity:** Stay within 280 characters total. * **Tone:** Informational yet conversational and shareable—use an emoji or casual phrasing if it fits, but avoid hashtags. * **Optional source reference:** If possible, mention “According to \[source]” or “As reported by \[outlet] on \[date]” in as few words as feasible. 3. **Final tweet (call-to-action):** * Invite replies or retweets (e.g., “Which of these AI advances surprises you most? Reply below!”). * Keep it concise and avoid hashtags. Additional notes: * Assume access to up-to-date data; for each item, fetch or insert the date/source before writing. * Ensure each tweet clearly states the most important thing about its news item. * Avoid hashtags altogether.

Is our understanding of AI about to leap forward? 🚀 In this thread, I'll share groundbreaking advancements reshaping AI today, from robotics to life-changing prosthetics. Transformative Prosthetic Hand: Researchers have developed a prosthetic that mimics human grip, adapting to various objects. Thi...

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what attacks does password hashing and salting defend against?

Password hashing combined with salting is effective in defending against various attacks that target stored passwords. Salting prevents attackers from using precomputed tables—commonly known as rainbow table attacks—to reverse engineer password hashes, because a unique, random string is added to eac...

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what are password salts and how do they work?

Password salts are random strings of data added to a password before it is hashed, ensuring that even if two users choose identical passwords, their resulting hashes will be completely different. The process begins by generating a unique, unpredictable salt—typically using a cryptographically secure...

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what is password hashing and why is it used?

Password hashing is a process that uses a cryptographic algorithm to transform a plaintext password into a fixed-length, scrambled string that can’t be reversed back into the original text. This means that when a user creates an account, the system runs their chosen password through a hashing functi...

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make a short video about " Humanoid robots leave the lab: what makes them usable now Why it's hot: Forecasts call 2026 a breakout year for pilot deployments of humanoids in manufacturing and logistics, reflecting rapid advances and real‑world trials. How it works: Bipedal mobility plus dexterous arms allow humanoids to navigate human‑designed spaces and manipulate common objects, with AI enabling perception and task execution. Why 2026: Coverage catalogs multiple models, use cases in factories and warehouses, and price bands from tens of thousands to well above $100k as capabilities diverge."

Observe humanoid robots leaving laboratories behind, as they now master human-like mobility and dexterous arms to interact with everyday tools. Forecasts for 2026 predict a breakout year with pilot deployments in manufacturing and logistics, featuring models priced from tens of thousands to over one...

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How does the Internet Archive store and preserve petabytes of data?

The Internet Archive utilizes the PetaBox system for storing and preserving vast amounts of data, specifically designed to handle petabytes of information. A PetaBox can store and process one petabyte (one million gigabytes) of data and operates with low power consumption, typically around 6 kW per ...

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Write a Twitter thread (X thread) about the very latest AI news, formatted as follows: 1. **First tweet (hook):** * Spark curiosity with a provocative question or surprising statement about AI today. * Tease that you'll share several must-know developments in the thread. * Keep it ≤280 characters and avoid hashtags. 2. **Subsequent tweets (one per news item):** For each: * **Headline/Context (concise):** A short phrase identifying the development (e.g., “Major breakthrough in multimodal models”). * **Key insight:** State the single most important takeaway or implication (“It can now generate lifelike videos from text prompts, potentially transforming content creation.”). * **Why it matters / curiosity angle:** A brief note on impact or a rhetorical question that encourages engagement (“Could this replace human editors?”). * **Brevity:** Stay within 280 characters total. * **Tone:** Informational yet conversational and shareable—use an emoji or casual phrasing if it fits, but avoid hashtags. * **Optional source reference:** If possible, mention “According to \[source]” or “As reported by \[outlet] on \[date]” in as few words as feasible. 3. **Final tweet (call-to-action):** * Invite replies or retweets (e.g., “Which of these AI advances surprises you most? Reply below!”). * Keep it concise and avoid hashtags. Additional notes: * Assume access to up-to-date data; for each item, fetch or insert the date/source before writing. * Ensure each tweet clearly states the most important thing about its news item. * Avoid hashtags altogether.

🔍 Did you know Texas Instruments just launched a major semiconductor fab in the U.S. to boost AI technology? Get ready for key insights that could change the landscape of AI production and manufacturing! 🛠️ Texas Instruments' SM1 Fab Opens: They've begun production at a $60 billion facility in She...

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How to sanity-check an EV 500-mile range claim in 4 slides

500-mile EV claim? Real tests show many models fall short of EPA ranges. Highway reality: Some models, like the F-150 Lightning, lost 50+ miles on steady 70 mph trips. Weather matters: AAA tests show range drops from 105 to 43 miles in cold temps. Test cycle insights: EPA uses a 0.7 factor on lab ra...

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Write a Twitter thread (X thread) about the very latest AI news, formatted as follows: 1. **First tweet (hook):** * Spark curiosity with a provocative question or surprising statement about AI today. * Tease that you'll share several must-know developments in the thread. * Keep it ≤280 characters and avoid hashtags. 2. **Subsequent tweets (one per news item):** For each: * **Headline/Context (concise):** A short phrase identifying the development (e.g., “Major breakthrough in multimodal models”). * **Key insight:** State the single most important takeaway or implication (“It can now generate lifelike videos from text prompts, potentially transforming content creation.”). * **Why it matters / curiosity angle:** A brief note on impact or a rhetorical question that encourages engagement (“Could this replace human editors?”). * **Brevity:** Stay within 280 characters total. * **Tone:** Informational yet conversational and shareable—use an emoji or casual phrasing if it fits, but avoid hashtags. * **Optional source reference:** If possible, mention “According to \[source]” or “As reported by \[outlet] on \[date]” in as few words as feasible. 3. **Final tweet (call-to-action):** * Invite replies or retweets (e.g., “Which of these AI advances surprises you most? Reply below!”). * Keep it concise and avoid hashtags. Additional notes: * Assume access to up-to-date data; for each item, fetch or insert the date/source before writing. * Ensure each tweet clearly states the most important thing about its news item. * Avoid hashtags altogether.

🤖 Curious about the latest breakthroughs in AI? Here are some game-changing developments you won't want to miss! 🌍 World Models Developing: Researchers are creating world models that help AI generate accurate videos and understand environments better. Imagine a dog running behind a sofa without lo...

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Write a Twitter thread (X thread) about the very latest AI news, formatted as follows: 1. **First tweet (hook):** * Spark curiosity with a provocative question or surprising statement about AI today. * Tease that you'll share several must-know developments in the thread. * Keep it ≤280 characters and avoid hashtags. 2. **Subsequent tweets (one per news item):** For each: * **Headline/Context (concise):** A short phrase identifying the development (e.g., “Major breakthrough in multimodal models”). * **Key insight:** State the single most important takeaway or implication (“It can now generate lifelike videos from text prompts, potentially transforming content creation.”). * **Why it matters / curiosity angle:** A brief note on impact or a rhetorical question that encourages engagement (“Could this replace human editors?”). * **Brevity:** Stay within 280 characters total. * **Tone:** Informational yet conversational and shareable—use an emoji or casual phrasing if it fits, but avoid hashtags. * **Optional source reference:** If possible, mention “According to \[source]” or “As reported by \[outlet] on \[date]” in as few words as feasible. 3. **Final tweet (call-to-action):** * Invite replies or retweets (e.g., “Which of these AI advances surprises you most? Reply below!”). * Keep it concise and avoid hashtags. Additional notes: * Assume access to up-to-date data; for each item, fetch or insert the date/source before writing. * Ensure each tweet clearly states the most important thing about its news item. * Avoid hashtags altogether.

Is AI advancing too fast for us to keep up? 🤔 Every day brings news of groundbreaking developments that could reshape our future. Here's a dive into some of the most critical updates in the AI landscape you need to know! New Energy Solutions: Companies like Constellation and TerraPower are pioneeri...

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Make a short video about " Inside hyperscale AI data centers and their power problem Why it's hot: MIT Technology Review's 2026 Breakthroughs highlight hyperscale AI data centers whose revolutionary architectures power frontier models yet carry enormous energy costs. How it works: Massive clusters knit together thousands of accelerators with high‑bandwidth networking and cooling systems to feed large models at scale, driving unprecedented electricity demand. Why 2026: Analysts expect AI's rising load to push cleaner supply and grid‑scale storage, while nuclear innovations are explored to match surging demand. What to show: Visualize a rack‑to‑campus journey: chips, liquid cooling, power feeds, and the grid connection, ending on how efficiency and clean power help."

Behold the digital titans: hyperscale AI data centers, whose insatiable appetite for energy can rival that of a small city. At their heart, thousands of specialized processors generate immense heat, pushing traditional air-cooling methods to their limits. To survive, many now turn to liquid cooling,...

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5 surprising facts about LLM evaluation challenges

Data contamination in LLM evaluations is a widespread and subtle issue. High scores on standardized benchmarks do not guarantee real-world performance. LLMs must be evaluated on both average-case and worst-case performance. Human-in-the-loop evaluations help assess contextually appropriate outputs. ...

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Why the 2026 F1 cars sound better than their previous generation?

The 2026 Formula 1 cars sound better than their predecessors primarily due to the removal of the MGU-H, which is expected to result in a more aggressive engine note. Audi's team boss Jonathan Wheatley noted that the new engines sound “really good” and have a more aggressive tone than before. Addit...

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Write a Twitter thread (X thread) about the very latest AI news, formatted as follows: 1. **First tweet (hook):** * Spark curiosity with a provocative question or surprising statement about AI today. * Tease that you'll share several must-know developments in the thread. * Keep it ≤280 characters and avoid hashtags. 2. **Subsequent tweets (one per news item):** For each: * **Headline/Context (concise):** A short phrase identifying the development (e.g., “Major breakthrough in multimodal models”). * **Key insight:** State the single most important takeaway or implication (“It can now generate lifelike videos from text prompts, potentially transforming content creation.”). * **Why it matters / curiosity angle:** A brief note on impact or a rhetorical question that encourages engagement (“Could this replace human editors?”). * **Brevity:** Stay within 280 characters total. * **Tone:** Informational yet conversational and shareable—use an emoji or casual phrasing if it fits, but avoid hashtags. * **Optional source reference:** If possible, mention “According to \[source]” or “As reported by \[outlet] on \[date]” in as few words as feasible. 3. **Final tweet (call-to-action):** * Invite replies or retweets (e.g., “Which of these AI advances surprises you most? Reply below!”). * Keep it concise and avoid hashtags. Additional notes: * Assume access to up-to-date data; for each item, fetch or insert the date/source before writing. * Ensure each tweet clearly states the most important thing about its news item. * Avoid hashtags altogether.

What if the future of AI means more chaos than clarity? 🤔 Dive into the latest breakthroughs and potential pitfalls in the AI landscape. Here are some must-know updates that could shape our tech-dominated world! 🔍 Major progress in World Models! Researchers are developing 4D models that help AI sy...

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What were the key limitations of early electric carriages in the 1830s?

Early electric carriages in the 1830s faced significant limitations primarily due to their reliance on non-rechargeable batteries, which severely restricted their range and practicality. Robert Anderson’s electric carriage, for example, was powered by such batteries, making it more of a curiosity th...

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