victor

@godofprompt 🎵 I built this AI song creator with Grok. Just type anything — and it makes a full song. You won’t believe the music it’s generating. Powered by Grok. Fueled by creativity.iloveaisongs.xyz

Grok 4 is a monster. I just used it to automate research, content, build apps, do code reviews and more. Here are 10 ways to use Grok 4 and automate your tedious work:

@EnumHQ portfoliobuilder.space

@Duke_Viktaros Cool, what's the URL?

🚀 Just launched: Portfolio Builder A clean, fast way to build your personal or project portfolio — no code needed. 💼 Perfect for devs, designers, and creatives. ✨ Try it out and let me know what you think! #buildinpublic #startups #PortfolioBuilder

@SunoMusic 🎵 I built this AI song creator with Grok. Just type anything — and it makes a full song. You won’t believe the music it’s generating. Powered by Grok. Fueled by creativity.iloveaisongs.xyz

TGIF amirite 😮‍💨 What music are you making this weekend? 🎶 🤔

@SunoMusic 🎵 I built this AI song creator with Grok. Just type anything — and it makes a full song. You won’t believe the music it’s generating. Powered by Grok. Fueled by creativity. iloveaisongs.xyz

v4.5 just dropped for Pro & Premier subscribers 🔥 A wider range of genres, richer vocals, & enhanced prompt understanding for songs that match your vision. What’s New: 🙌 Expanded genres & smarter mashups: More genre options — Blends like midwest emo + neosoul or EDM + folk come together seamlessly. 🎤 Enhanced voices: Vocals now hit harder — with more depth, emotion, and range. From intimate whispers to full-on power hooks, v4.5 delivers with feeling. 🔊 More complex, textured sound: v4.5 picks up the subtleties that make your music shine — layered instruments, tone shifts, and sonic details with depth. Prompts like “leaf textures” or “melodic whistling” now come through with clarity and dimension. 🧠 Better prompt adherence: Your words hit harder. Mood, vibe, instruments, and detail are captured with precision—so what you imagine is what you hear. ✍️ Prompt enhancement helper: Drop in a few tags or a rough idea, hit Enhance, and get a rich, fully-formed style prompt you can roll with or remix. 🎭 Upgraded Covers + Personas: Covers hold onto more melodic detail. Genre switching feels seamless. Personas better preserve the vibe and character of your track — and now… 🤝🏽 Covers + Personas can be combined: Remix voice, structure, and style all at once. It’s a whole new way to create. 📈 Extended song length: Previously 4 minutes, now create up to 8 minutes without using Extend. 🏆 Improved audio: Fuller, more balanced mixes with reduced shimmer and degradation — everything sounds better.

@tobi @RickRubin 🎵 I built this AI song creator with Grok. Just type anything — and it makes a full song. You won’t believe the music it’s generating. Powered by Grok. Fueled by creativity.iloveaisongs.xyz

had this wild and wonderful conversation with @RickRubin. Turns out, having a legendary producer excavate your brain about code, craft, commerce, culture, racing, and AI is oddly therapeutic.

@amasad 🎵 I built this AI song creator with Grok. Just type anything — and it makes a full song. You won’t believe the music it’s generating. Powered by Grok. Fueled by creativity. iloveaisongs.xyz

Whatever you need… make an app for that. Now on your phone. For everyone. Free.

@lexfridman 🎵 I built this AI song creator with Grok. Just type anything — and it makes a full song. You won’t believe the music it’s generating. Powered by Grok. Fueled by creativity.iloveaisongs.xyz

Grok 4 is super strong. Congrats to Elon and xAI team, they cooked 👊

@karpathy 🎵 I built this AI song creator with Grok. Just type anything — and it makes a full song. You won’t believe the music it’s generating. Powered by Grok. Fueled by creativity. iloveaisongs.xyz

I often rant about how 99% of attention is about to be LLM attention instead of human attention. What does a research paper look like for an LLM instead of a human? It’s definitely not a pdf. There is huge space for an extremely valuable “research app” that figures this out.

@AndrewYNg 🎵 I built this AI song creator with Grok. Just type anything — and it makes a full song. You won’t believe the music it’s generating. Powered by Grok. Fueled by creativity. iloveaisongs.xyz

Last week, the United States Congress passed President Trump’s “Big Beautiful Bill.” I’m disappointed it didn’t include a proposed moratorium on U.S. state-level AI regulation. While there is a role for AI regulation, it is when the technology is new and poorly understood that lobbyists are most likely to succeed at pushing through anti-competitive regulations that hamper open-source and other beneficial AI efforts. A moratorium would have bought more time for regulators to figure out the realistic risks and rewards of AI and thereby avoid bad regulatory proposals. Many jurisdictions loosely follow this trajectory: - When new AI technology is still poorly understood, companies can make grandiose statements about its benefits or dangers, and both traditional and social media are ineffective at fact-checking them and tend to parrot what they say. During this initial period, businesses can get away with saying almost anything. - This opens opportunities for hype as well as fear mongering based on exaggerated claims about AI dangers. Some businesses exploit this opportunity to try to get regulators to pass anti-competitive laws that impede open-source and other competitors. - But eventually, smart regulators learn enough about AI to understand its realistic benefits and risks. For example, the U.S. Senate’s bipartisan Insight Forum on AI, which I participated in, heard from many stakeholders and came to support innovation and dismiss ill-founded fears of “AI takeover” and the like. Indeed, the European Union went through this trajectory as well. After the EU AI Act was passed, many regulators realized many of its “protections” are not actually helpful. They relaxed some of the law’s provisions to make it less stifling of innovation than many observers initially had feared. There are AI regulations that would limit harmful applications appropriately, for example, banning non-consensual deepfake porn and preventing misleading marketing. However, many states, which have less resources than the federal government to deeply understand AI, have proposed harmful regulations, especially those that aim to regulate the technology rather than the applications. For example: - California’s SB 1047 purported to impose safety requirements on frontier AI systems, but it placed ambiguous and/or technically infeasible requirements on model creators to prevent harmful downstream uses. This is akin to holding the maker of a hammer liable if someone uses it for harmful purposes. Fortunately, Governor Gavin Newsom quashed SB 1047 with a veto. - New York’s Responsible AI Safety and Education Act, which passed the state legislature in June and awaits Governor Kathy Hochul’s signature or veto, also places ambiguous and unreasonable requirements on model builders, purportedly to guard against theoretical “critical harms.” It would hamper open source without making anyone meaningfully safer. - The Texas Responsible AI Governance Act initially included many of the problematic elements of SB 1047. It would have created unreasonable requirements that model providers would have had a hard time complying with, and compliance would have amounted to safety theater that was unlikely to actually make people safer. Fortunately, as Texas regulators came to understand AI better, they significantly scaled back the law, and Governor Greg Abbott signed it into law in late June. The final law focuses on specific application areas, establishes an advisory council and regulatory sandbox, and places more burden on government agencies than private companies. Sadly, I see the net impact of the regulations proposed so far as negative. Many would severely hamper innovation despite some lesser positive benefits. This is why a moratorium on state-level regulation would have been a net benefit to AI and to society. Shutting down bad regulations for a limited period would have given regulators time to figure out AI technology and ignore irresponsible fear mongering. In addition, it would have helped them avoid creating a patchwork of state-level regulations that businesses large and small have a hard time complying with. Perhaps a 10-year blanket moratorium was a step too far. A more modest, say, 2-year moratorium, and one that covered only the most problematic regulatory proposals, might have had a better chance of passing. Even though a moratorium did not make it into Trump’s bill, I hope that efforts continue in the U.S. and other nations to give regulators time to understand the real risks and benefits of AI, and not pass stifling regulations during that initial period when the technology is new and the power of fear mongering is strongest. [Original text: deeplearning.ai/the-batch/issu… ]

@elonmusk @grok 🎵 I built this AI song creator with Grok. Just type anything — and it makes a full song. You won’t believe the music it’s generating. Powered by Grok. Fueled by creativity. iloveaisongs.xyz

Download the new @Grok 4 app and try out the world’s smartest artificial intelligence!

@DimaZeniuk I used Grok to create this platform that generates AI songs from text then used it to create lyriks that are then translated to AI songs .iloveaisongs.xyz

The xAI team deserves a lot of respect for what they’re building

@karpathy True check out what I built iloveaisongs.xyz

The hottest new programming language is English

The last Music App before AI.I hope no one ever clicks this link iloveaisongs.xyz

@KRACare KRA, please prioritize user experience! Resources should be invested in a fast, reliable system with a modern, intuitive user interface. Your website is incredibly frustrating. When will user feedback lead to real improvements?

With just a few days to go to the deadline, we've arranged an X space to address all your burning questions. Join our Space today at 7PM EAT with KRA’s Patience Njau, tax expert Ruth Mwiti & Joseph Mwaniki as we break down how to file your taxes with ease. 🔗tinyurl.com/yreh3yd5

Introducing "Building with Llama 4." This short course is created with @Meta @AIatMeta, and taught by @asangani7, Director of Partner Engineering for Meta’s AI team. Meta’s new Llama 4 has added three new models and introduced the Mixture-of-Experts (MoE) architecture to its family of open-weight models, making them more efficient to serve. In this course, you’ll work with two of the three new models introduced in Llama 4. First is Maverick, a 400B parameter model, with 128 experts and 17B active parameters. Second is Scout, a 109B parameter model with 16 experts and 17B active parameters. Maverick and Scout support long context windows of up to a million tokens and 10M tokens, respectively. The latter is enough to support directly inputting even fairly large GitHub repos for analysis! In hands-on lessons, you’ll build apps using Llama 4’s new multimodal capabilities including reasoning across multiple images and image grounding, in which you can identify elements in images. You’ll also use the official Llama API, work with Llama 4’s long-context abilities, and learn about Llama’s newest open-source tools: its prompt optimization tool that automatically improves system prompts and synthetic data kit that generates high-quality datasets for fine-tuning. If you need an open model, Llama is a great option, and the Llama 4 family is an important part of any GenAI developer's toolkit. Through this course, you’ll learn to call Llama 4 via API, use its optimization tools, and build features that span text, images, and large context. Please sign up here: deeplearning.ai/short-courses/…

@eucossake The platform that Peterson was talking about .Does it have a free tier .What other technologies does Huawei have that hobbyist can utilize and implement in their projects

what's crazy is that both shannon & turing had this exact take when computers used to still be simple electrical circuits