🤖 Elon Musk’s Optimus is getting roasted online again

A new clip from Tesla’s Miami event is going viral after someone accidentally recorded Optimus wiping out mid-demo, reigniting scrutiny over how autonomous the robot actually is.

🔸 In the video, Optimus makes a very human-like hand motion almost identical to someone taking off a VR headset right before it topples over, fueling speculation that a remote operator was still connected.

🔸 This contradicts Musk’s earlier public claims that Optimus was performing “fully autonomously” in previous demos, sparking another round of memes and criticism across social platforms.

🔸 The incident adds to the growing skepticism around Tesla’s robotics program, which many argue still relies on teleoperation despite Musk’s promises of imminent autonomy.

Optimus keeps being pitched as the future but moments like this keep reminding the internet that it’s not quite out of the training wheels phase yet.

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🧠 A 4-month-old startup just cracked 9 of 12 problems on the Putnam, one of the hardest math contests on Earth

Axiom, a little-known newcomer in the AI research world, says its system AxiomProver solved 9 out of 12 problems from this weekend’s William Lowell Putnam Mathematical Competition, a notoriously brutal exam where the average human score is usually 0–1 points out of 120.

🔸 Eight problems were solved during the live contest window and another immediately afterward, giving the system a result that would have ranked #1 overall last year, well within Putnam Fellow territory, a distinction normally reserved for the top undergraduates across the U.S. and Canada.

🔸 What’s striking is how AxiomProver solved them: it didn’t just write natural-language solutions but produced fully formalized Lean proofs, meaning the answers are machine-verifiable and free of the hand-waving typical in human-written solutions.

🔸 The announcement now raises a bigger question: if a four-month-old startup can hit Putnam-level performance, did giants like Google or OpenAI quietly participate as well and if not, how long until they respond?

Axiom may have just delivered a signal moment in automated reasoning and it puts the entire frontier-model race on notice.

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❄️ Winter Demo Day by EasyMM x InnMind is coming!

Exclusive virtual Demo Day connecting TGE-ready Web3 projects with top investors, launchpads and exchanges actively deploying capital in Q4 2025 – Q1 2026.

⏰ December 10th · 17:00–18:00 CET

🎞 Fully virtual (Zoom) + restream on YouTube and X 👇

⚙️ A new swarm of AI agents now scans the entire internet for you, automatically and for free

A team of autonomous AI crawlers has launched that can watch any corner of the web and deliver instant summaries of what’s new.

🔸 They monitor selected sites on a schedule, vacancies, trends, discounts, breaking news, anything you choose.

🔸 Each update comes as a clean, concise summary so you never miss important changes.

🔸 Every tweak on the network, from a new job posting to a product drop gets flagged instantly.

🔸 And the entire system is free to use.

In short: the internet updates nonstop, and now you have agents that keep up with all of it so you don’t have to.

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🔸 Claude Code is coming to Slack and it could quietly reshape developer workflows

Anthropic is bringing its coding assistant Claude Code directly into Slack, letting teams trigger code generation, bug fixes, or feature implementations straight from chat threads.

🔸 Once enabled, developers can tag @Claude in a conversation and the assistant will analyze the thread, pull context, choose the right repo, and start working including creating branches, writing code, and posting updates as it progresses.

🔸 Unlike traditional coding assistants that sit inside an editor, Claude Code in Slack moves the entire workflow to where teams already discuss bugs and features, reducing context switching and speeding up decision-to-implementation cycles.

🔸 The integration arrives as a beta, but Anthropic says it aims to turn Slack into a central automation hub where code reviews, pull requests, and task execution originate directly from team chat.

If this model sticks, Slack could become the place where software planning, discussion, and actual code execution merge into one continuous loop.

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👓 Google plans Gemini-powered smart glasses for 2026

Google is preparing two models of AI-enabled glasses powered by Gemini.

🔸 The first model, coming in 2026, looks like regular glasses. It has speakers, cameras, and microphones but no display. Paired with a smartphone, Gemini observes your surroundings, answers questions, and translates speech in real time.

🔸 The second model will include displays and augmented reality features, though Google has not yet shared a release date.

These glasses mark Google’s next step in wearable AI, blending real-world awareness with assistant capabilities with AR integration coming later.

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This is how AI fights weeds: the LaserWeeder G2 scans fields, identifies unwanted plants, and zaps them with a laser.

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🤖 How AI subscriptions turned from “optional” to “essential”

🕔 2.5 years ago a $20 GPT subscription felt like a fun upgrade. Nothing critical.

⏲ 1.5 years ago people jumped from GPT to Claude and back as soon as a new model appeared.

🕘 0.5 years ago many dropped a $200 Claude Code plan to switch to GPT Pro.

🕔 Now it feels impossible to function without Gemini or NanoBanana plus Claude Code plus GPT Pro. Personal life and work depend on these tools.

🔸 The products keep getting stronger
🔸 They cover more tasks than any human can keep in focus
🔸 They blend into workflows until they feel like part of the mind
🔸 Each upgrade shifts the baseline of what “normal” work looks like

The tools are becoming irreplaceable and we are turning into something closer to cyborgs. The line between human effort and machine support gets thinner every month.

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🔔 Perplexity just got supercharged with a free all-in-one extension

With a single free extension, Perplexity now comes packed with over 25 plugins, bringing in the best features of competing AI tools and expanding what the platform can do.

Key upgrades include:

🔸 Lightning-fast model switching for seamless experimentation

🔸 In-browser code testing, no external tools required

🔸 Export all chats from Perplexity for easy record-keeping

🔸 Customizable chat interface to tailor the experience to your workflow

With these additions, Perplexity transforms from a standard AI assistant into a fully featured, flexible productivity hub, all without paying a dime.

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⚡ Track your internet connection 24/7 and prove any issues to your provider

A powerful monitoring tool runs in the background, constantly checking your connection and saving the results for easy access.

🔸 It performs regular speed tests without overloading your computer.

🔸 All results are stored in a clean, separate dashboard for quick review.

🔸 Detailed metrics are available, including speed, ping, jitter, and packet loss.

🔸 Notifications alert you instantly if your connection drops or slows down.

🔸 You can export all data to support claims or disputes with your internet provider.

Your connection is always being checked, and now you have a tool that tracks it automatically so you have proof whenever you need it.

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🥸 What your browser secretly leaks and the tools to uncover it

A handful of inspection tools can show exactly what information your browser exposes every time you load a webpage from fingerprints to tracking vectors you didn’t know existed.

🔸 Browserleaks gives a full snapshot of everything your browser reveals by default, from IP metadata to canvas fingerprints.

🔸 CreepJS evaluates how uniquely identifiable your setup is, showing how easy it is to track you across sessions.

🔸 Cover Your Tracks tests how well your browser resists fingerprinting and whether privacy protections are actually working.

🔸 FingerprintJS demonstrates how websites identify visitors and highlights the specific attributes your browser leaks.

🔸 WebBrowserTools offers a suite of lightweight tests for checking privacy, fingerprint resistance, and general security posture.

Use these tools and you’ll know exactly what slips through, before anyone else does.

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📚 A massive set of 500 curated prompts from Nano Banana Pro is now available

A new collection of 500 hand-picked prompts has dropped, a large, structured table covering ideas, workflows, and shortcuts for nearly every creative or technical task.

🔸 The library spans writing, coding, research, design, productivity, and niche use cases, making it a quick reference for anyone looking to boost prompt quality or spark new ideas.

🔸 Each entry includes a link to the original prompt author’s profile, offering an easy way to explore more of their work and discover additional templates, tools, and inspiration.

🔸 The table is designed for fast scanning: clear categories, examples, and ready-to-copy formulations that work across different models and tools.

For anyone building with AI daily, this looks like one of the strongest prompt collections released so far, both as a resource hub and a gateway to new creators.

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