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📢 Social Mining on X — Tip #7: Native Media Over Clickbait Visuals boost dwell time, but X penalizes generic stock photos used as bait. The algorithm prioritizes native video and authentic screenshots that directly prove or illustrate your text.👇

17,402 次观看 • 2 个月前 •via X (Twitter)

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Can you beat the top score? Get the top score on Swipe the cat and win an Apple Gift Card (link on my profile) 🥇 Get top score: $300 Apple Gift Card Best video submission: $200 Apple Gift Card Funniest submission: $100 Apple Gift Card Rules: 1) Post your score to X with an attached screenshot (required) or video (optional) of your best score (NOT the leaderboard). See example. To be eligible you must either tag me in your post or reply to this post. Reposts are optional for visibility and do not affect eligibility 2) Entries must be posted to X before December 10, 2025 @ 11:59pm AEDT (Australian Eastern Daylight time). 3) Your score must be listed on the ranked leaderboard. You may be asked to validate your score by providing your Game Center username. Be sure your profile is public, that you are playing on the latest version of the game and are logged into Game Center. 4) The highest score posted wins the top score prize. In the event that multiple winners get the same top score the winnings will be divided amongst them. So 2 people getting the same top score means prize will be $150 each. 5) Best video submission will be judged by me and my decision will be final. Criteria: I will be looking for creativity, entertainment value, style and originality. The entry that stands out the most from other video submissions. 6) Best funniest submission will be judged by me and my decision will be final. You may include an optional video for extra visibility. Criteria will be: what makes me laugh the most. Only age appropriate entries will be considered (no crude humour). 7) Gift cards are in USD. Gift card value may be subject to currency conversion for my local currency (Australia) and your local currency. Depending on the arrangement we find to send you the Gift card. Apple Gift Cards must be redeemable in your region. If not we will arrange an alternative of equivalent value. 8) Winners will be notified by direct message on X and publicly on my X profile on or before December 15. Winners must respond within 7 days to claim their prize. 9) You may enter the competition as many times as you like. Only your highest valid score will be considered for the Top Score prize. 10) You must be 13+ or meet your region’s minimum age for using X and participating in online competitions. 11) I reserve the right to disqualify suspicious or unverifiable scores at my discretion (e.g., if I suspect hacked/modded devices/assisting devices). Important disclaimers: This competition is not affiliated with Apple or X By entering into this competition you give me permission to use the contents of your post (name, text, image, video) for use in promotional material for the game. This content will be used on my YouTube channel and to promote my game not only on X but on other platforms too. If you do not wish to give permission to use your post text, images and/or video please opt-out on your submitted post. "I do not give permission for my post to be used in promotional material". Opting out of promotional use does not disqualify you from winning.

Adam Lyttle

159,986 次观看 • 9 个月前

Claude Code can now watch & analyze ANY video 🤯 I built a skill that gives Claude the ability to watch any video file you drop in — UGC ads, competitor Meta ads, organic TikToks, screen recordings, anything. All inside Claude Code. Perfect for DTC brands and agencies who study competitor creative every week to figure out what's working and what to test next. Here's the problem: If you're studying competitor ads on Meta or hooks on TikTok, you're scrubbing through videos manually, pausing to write down hooks, screenshotting on-screen text, and trying to remember what made the ad land by the time you've watched 10 of them. This skill solves it: → Drop any video file into Claude Code → Skill routes it through the Gemini API for native video understanding → Returns a full creative teardown — hook breakdown, target audience, angle, beat-by-beat, on-screen text verbatim → Surfaces the steal-worthy patterns you can apply to your own creative → Same skill works on UGC ads, produced video ads, organic TikToks, and Loom recordings No manual scrubbing. No pausing every 5 seconds. No $200/mo ad intelligence platform. What you get: - Native video understanding via Gemini (not just transcripts) - Structured analysis — hook, angle, audience, pain point, CTA - Verbatim on-screen text and dialogue with timestamps - Hook variations generated directly from competitor ads - About 27 cents per 30-minute video Built 100% in Claude Code with the Gemini API. I recorded a full breakdown showing exactly how I built this and I'm giving away the skill for free. Want the skill? > Comment "CLAUDE" + > Like this post And I'll send it over (must be following so I can DM)

Mike Futia

35,894 次观看 • 4 个月前

I just built a skill that lets Claude Code watch & analyze ANY video 🤯 Drop in any video file — UGC ads, competitor Meta ads, organic TikToks, screen recordings — and Claude hands you back a full creative teardown. All inside Claude Code. Perfect for media buyers and creative strategists who reverse-engineer competitor ads every week — and lose half a day doing it by hand. If your creative process starts with studying what's already working, you're scrubbing through competitor ads frame by frame, pausing to write down every hook, screenshotting the on-screen text, and by the tenth video you can't remember what made the first one land... This skill solves it: → Drop any video file into Claude Code → Skill routes it through the Gemini API for native video understanding → Returns a full creative teardown — hook breakdown, target audience, angle, beat-by-beat, on-screen text verbatim → Surfaces the steal-worthy patterns you can apply to your own creative → Same skill works on UGC ads, produced video ads, organic TikToks, and Loom recordings No manual scrubbing. No pausing every 5 seconds. No $200/mo ad intelligence platform. What you get: → Native video understanding via Gemini (not just transcripts) → Structured analysis — hook, angle, audience, pain point, CTA → Verbatim on-screen text and dialogue with timestamps → Hook variations generated directly from competitor ads → About 27 cents per 30-minute video Built 100% in Claude Code with the Gemini API. I recorded a full breakdown showing exactly how I built this, and I'm giving away the skill for free. Want the skill? > Like this post > Comment "CLAUDE" And I'll send it over (must be following so I can DM)

Mike Futia

41,985 次观看 • 2 个月前

llama.cpp isn't just for text LLMs anymore. Pure C++ zero shot voice cloning just officially landed in mainline. Text generation was only step one. If you’re building autonomous local AI agents, real time voice assistants, or edge workflows, instant low latency audio is the missing piece. Thanks to PR #26254, Alibaba’s state of the art Qwen3 TTS model family is now natively supported directly inside the llama.cpp repository under the multimodal (mtmd) framework. No Python bloat. No massive PyTorch CUDA overhead. Just raw, hyper optimized C++ running GGUF voice weights. Here is why this native update is a massive deal for the open source local AI stack: # Multimodal Architecture (.gguf + mmproj) Qwen3-TTS splits the workload between the base language model backbone and a multimodal projection adapter. llama.cpp handles this using the llama-tts binary, mapping the text model alongside its --mmproj projector to process audio tokens seamlessly. # Zero Shot Voice Cloning in Seconds You don't need fine tuning or massive dataset training. Feed the C++ engine a single 5 to 10 second .wav audio sample using the --tts-speaker-file flag, and it accurately clones the exact timbre, tone, and accent on the fly. # Real World T4 GPU Benchmark & Resource FootprintRunning the 1.7B Base model in 8-bit quantization (Q8_0): - VRAM Footprint: ~7 GB peak VRAM during active zero-shot cloning. - Audio Quality: Studio grade, natural-sounding voice output in seconds. • - Execution: Direct execution via native compiled binaries or sub process calls. # Coming Next to llama-server (PR #26603) Beyond CLI execution, a native POST /tts HTTP endpoint is currently being added to llama-server, which will soon allow you to trigger voice generation directly via standard REST API requests! # quick note on Colab compilation: Because this code was merged into mainline very recently, pre-built third-party binaries haven't fully caught up yet. Compiling llama-tts directly from source on Google Colab's free CPU instance can take about 1 hour (or ~1-2 minutes if targeting single GPU arch like -DCMAKE_CUDA_ARCHITECTURES=75). Be patient during the build step, or compile it locally on your own rig for instant execution! To test this out yourself, I built a zero config Google Colab notebook that compiles llama.cpp, downloads the Q8_0 GGUF files from HuggingFace, and spins up an interactive Gradio Studio UI so you can record/upload 3 second clips and clone voices in real time. Stop sleeping on native C++ audio. The era of bulky Python audio pipelines is officially over. Links to the free Google Colab notebook and the official ggml org GGUF HuggingFace model repository are in the replies below! available in q4 and q8 both variants, 1 GB and 1.85 GBs respectively (requires additional ~500MB mmproj gguf) Are you building local voice agents yet? What does your current audio stack look like? Drop your setups below!

Alok

47,881 次观看 • 1 个月前

I’ve used all the recent GenAI video models extensively & here’s my 2¢: 🎬 Runway Gen3 Alpha - best image quality & motion for text-to-video & embedded words. Great at prompt travel changes over the course of 10 sec. And I’m super bullish on how gen3 will evolve, hopefully adopting the features listed below. Kling - best quality for image-to-video with prompt control, like eating food. Great clip extension that accounts for character (ie walking stride) & camera movement (speed & angle), rather than just using final frame. But it’s limited availability & Chinese native language is limiting. Used for Spider-Man video below (via Midjourney). LumaLabs - best for keyframe start & end control (it can not be overstated how important this is. other services should add it ASAP!) and their high dynamic action movements are really fun. Luma was used in my viral Multiverse of Memes video. PikaLabs - they haven’t gotten as much attention as others lately. But they did update their video model a few weeks ago and it looks great. Also, they are notable for their unique & AWESOME features, like video in-painting & out-painting. My perfect AI video platform would have the following features: 1) Gen3’s quality, prompt control & text embedding. 2) KLing’s image-to-video quality, prompt control & clip extension quality. 3) Luma’s multi-keyframe control & dynamic movement ability. 4) Pika’s inpainting & outpainting ability. And a video-to-video (aka next-gen Runway gen1) could be a game changer, too. It’s an exciting time to be alive 🫶 Who will get there first? 🔉🔉

Blaine Brown

26,535 次观看 • 2 年前

Terrible optics for Chris Hipkins. A high-profile staffer in the Labour leader’s office is sharing content on social media that is strongly anti-US law enforcement and smears President Trump and the White House. Last night, Jordan Rivers shared a post featuring the lyrics: "Fuck ICE, we ain't gonna play nice" "Oh, you wanna fight? Keep sucking daddy's dick on the far right." This is widely interpreted as a direct critique and smear of Trump and his administration's immigration enforcement policies. Rivers also shared a cartoon depicting U.S. Attorney General Pam Bondi looming menacingly over what appears to be an Epstein victim, bellowing "Look at the stock market!" in her face. This morning, Rivers went further by sharing an altered screenshot of a White House post on X. The original caption—“These are just some of the most dangerous illegal aliens ICE took off our streets this Tuesday”—was removed, leaving only the header: “Pedophiles. Kidnappers. Violent Assailants.” This edit implies that White House staff fit those categories. This content has reached Rivers' more than 70,000 followers on Instagram, while he works in the Labour leader's office. Mainstream media have so far failed to put any questions to Hipkins about Rivers' hiring or the inflammatory material he shares publicly on social media, without disclaimers and despite his role as a paid parliamentary staffer. Hipkins, who aspires to become the next Prime Minister and would therefore communicate directly with President Trump, must be asked whether it remains appropriate for Rivers to continue working with the Labour Party.

Suit and tie

13,157 次观看 • 6 个月前