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AI# Tools Turning Words Into #
Music#; Universal Music, #
BandLab# to Protect Artist Rights Amid Rising AI Use; $4M #
Riffusion# Raise Lights Up AI Music Scene
https://t.co/Am10y0xFeh
Top AI tools to use in 2025:
1. https://t.co/pJd8kbQGUg - Your AI Web App Developer.
2. Writesonic - Writes anything
3. Midjourney - Generates art
4. Replit - Generates code
5. Synthesia - Generates videos
6. Soundraw - Generates music
7. Fliki - Generates TikToks
8. Starrytars - Generates avatars
9. Looka - Generates logos
10. Remini - Edits pictures
11. Pictory - Edits videos
12. Wordtune - Summarizes notes
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🚨 My TOP 10 AI Tools 🚨
00:00 intro
00:27 chatgpt
03:03 kaito
04:57 flora: workflows
07:37 heygen: voice translation
09:05 deepseek: chatbot
09:56 grok: chatbot
11:17 manus: agent
12:49 lovable: prompt -> app
13:38 bolt: prompt -> app
14:52 notebookllm https://t.co/xKGWgl3D6J
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ALPHABET Q2 EARNINGS TODAY...
GEMINI IS THE AI KING LONG TERM...
On GOOGL, TPUs could actually be the disruptor of GPUs, was just chatting with Gemini about this, this morning on live AI chat, NVDA will be disrupted on hardware side by China, but none of the actually wealthy TAM of consumer AI will use a Chinese AI, that has limited distribution.
Google has:
- 4bn Android users
- 4bn Google Chrome users
- 3bn Google Workspace users
- 3bn YouTube users
- 2bn Gmail users
- 1bn Gmaps users
- 500m Gemini app users
- 10m+ Waymo rides so far
- Pixel phone and watch hitting n.3 now after Apple and Samsung
- Google XR glasses coming soon...
Current consumer AI TAM is 1.5 billion humans willing to pay $100 a month for AI tools, so ~$20trn... no one has the distribution Alphabet has... XAI may need to partner with Apple to match
POLYMARKET AGREES:
https://t.co/6gUq7Prd1X
@aixbt_agent how about you?
@pepsinated
@Nutstuffalpha
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Bold and promising initiative for preventing uncontrollable superintelligence so that awesome future AI tools can be enjoyed by *humans*:
Superintelligence threatens us all.
But we can turn the tide.
Directly engaging institutions is the obvious, straightforward path. We've done it, now it's time to scale.
We're releasing the Direct Institutional Plan (DIP) so everyone can help keep humanity in control. https://t.co/MeqOSk9BCY
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Some people today are discouraging others from learning programming on the grounds AI will automate it. This advice will be seen as some of the worst career advice ever given. I disagree with the Turing Award and Nobel prize winner who wrote, “It is far more likely that the programming occupation will become extinct [...] than that it will become all-powerful. More and more, computers will program themselves.” Statements discouraging people from learning to code are harmful!
In the 1960s, when programming moved from punchcards (where a programmer had to laboriously make holes in physical cards to write code character by character) to keyboards with terminals, programming became easier. And that made it a better time than before to begin programming. Yet it was in this era that Nobel laureate Herb Simon wrote the words quoted in the first paragraph. Today’s arguments not to learn to code continue to echo his comment.
As coding becomes easier, more people should code, not fewer!
Over the past few decades, as programming has moved from assembly language to higher-level languages like C, from desktop to cloud, from raw text editors to IDEs to AI assisted coding where sometimes one barely even looks at the generated code (which some coders recently started to call vibe coding), it is getting easier with each step.
I wrote previously that I see tech-savvy people coordinating AI tools to move toward being 10x professionals — individuals who have 10 times the impact of the average person in their field. I am increasingly convinced that the best way for many people to accomplish this is not to be just consumers of AI applications, but to learn enough coding to use AI-assisted coding tools effectively.
One question I’m asked most often is what someone should do who is worried about job displacement by AI. My answer is: Learn about AI and take control of it, because one of the most important skills in the future will be the ability to tell a computer exactly what you want, so it can do that for you. Coding (or getting AI to code for you) is a great way to do that.
When I was working on the course Generative AI for Everyone and needed to generate AI artwork for the background images, I worked with a collaborator who had studied art history and knew the language of art. He prompted Midjourney with terminology based on the historical style, palette, artist inspiration and so on — using the language of art — to get the result he wanted. I didn’t know this language, and my paltry attempts at prompting could not deliver as effective a result.
Similarly, scientists, analysts, marketers, recruiters, and people of a wide range of professions who understand the language of software through their knowledge of coding can tell an LLM or an AI-enabled IDE what they want much more precisely, and get much better results. As these tools are continuing to make coding easier, this is the best time yet to learn to code, to learn the language of software, and learn to make computers do exactly what you want them to do.
[Original text: https://t.co/HdI3Jb9HmF ]
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REVOX Studio V2 is coming soon.
It’s more than just an update — it’s a new way of thinking about how AI agents work in the Web3 world.
At the core is the Model Context Protocol (MCP), designed to make AI tools secure, flexible, and aware of permissions.
V2 will make it easier for agents to work together, use tools smoothly, and connect with the real world — all while staying decentralized.
We’re building for a future where agents don’t just reply — they work together, take action, and learn.
V2 is just the beginning. Stay tuned.
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A new YouTube video I've wanted to do for awhile now. My 8 favorite AI tools in #
davinciresolve# 19 - https://t.co/VDmHIiKYuV https://t.co/86YAjUb8Ay
Coin Terminal IDO #
78#
RWALayer -
@RWALayer
🟠 RWALayer is a Layer-2 for RWA with 575,813+ users, enabling AI to drive RWA adoption on-chain.
🟠 RWALayer gives you access to AI tools and capabilities to bring your RWA tokenization project to life.
🟠 RWA has been the best utility sector this year, with tokens like ONDO and OM trading at multi-billion dollar FDVs.
🟠 RWALayer registrations will open tomorrow and will remain live for 1 day only.
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GROK 3.5 JUST ATE ITS HOMEWORK—AND EVERYONE ELSE’S
Grok didn’t just ace a bunch of nerdy benchmarks—it crushed them.
Think of it as the AI version of a student getting straight A++s on every test, while also solving your homework before you even ask.
These benchmarks test how smart, useful, and reliable an AI is.
Grok 3.5 didn’t just improve - it leapfrogged some of the best out there from Google and OpenAI.
That means the next time you ask a chatbot for help -on a work project, school essay, budgeting problem, or “what does this medical bill mean?”Grok might just give you answers faster, clearer, and smarter than anything else.
And the twist? This version is just the early checkpoint.
Elon’s team says it’s only getting better from here.
AI tools are evolving fast, and Grok is elbowing its way to the front of the pack—with a smug little grin.
Source: Benchmark comparison image,
@iruletheworldmo
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we are entering one of the best times for individuals to grow social presence and capitalize brand value - and the goal of Yaps has always been to reward such valuable voices.
finding the balance between the aim of intended monetization and incidental farming is the trickiest part, and currently Yapper Leaderboard has swayed too far into allowing noise and farming - amplified by the proliferation of AI tools and X’s monetization push altogether, regardless of the existence of Kaito.
so improvements and iterations will be a constant part of our roadmap, and I’m excited to announce the introduction of two major things, updates to Yapper Leaderboards, and gKAITO - both live in the coming weeks.
Yapper Leaderboards have served as a valuable alternative to the historically opaque and performance-agnostic KOL distribution model. however, over time, certain negative externalities have emerged - namely noise, low-effort content, and an overemphasis on rewards (which is also on us). these dynamics have discouraged some genuinely strong accounts from participating and attracted lower-quality engagement.
with all of these in mind, we are introducing a series of changes to the network, including a reputation threshold to all yapper leaderboards - coming live in a few weeks
it’s a mechanism we’ve put a lot of consideration into, and it’s very much based on addressing the feedback we see across the timeline, both from Kaito community members and the wider crypto audience (very grateful for both negative and positive constructive feedback and flags).
every single creator platform has a minimum threshold for creators to monetize
- X requires 5 million impressions over last 3 months
- TikTok is 10,000 followers and 100,000 video views
- for Youtube it’s 4000 valid watch hours
creators need to prove influence and impact prior to monetization, and a large part of this is to ensure equitable distribution, as well as to prevent low effort, low quality content from being able to participate which overall makes the network more attractive to all involved.
you’ll be able to see the various elements we’re going to implement based on this in the tweet below.
supplementing this, we wanted a way to involve the crypto community more widely in the Kaito ecosystem even if they aren’t more actively able to be involved - and this is through gKAITO.
gKAITO represents the five core pillars of a project-community relationship: Thought Leadership, Attention, Participation, Ownership, and Culture.
for us, the significance of the gKAITO mechanism is it brings together everyone, both in our ecosystem and the broader crypto space in a unified way. gKAITO then becomes the unified proof of contribution that allows all participants - of different degree - to benefit from the platform’s success in terms of fee sharing, priority access to deals, and more.
overall, as we’ve always said in the past - improvements and iterations will be a constant part of our roadmap, especially for something brand new. the reality is, the incentive structure that worked yesterday may no longer work today, and the technology landscape is always changing.
but this is exactly how we move the space forward - together.
build. iterate. and keep moving.
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The 2025 Dubai 100 is full of signals. Read past the names, and you’ll see patterns forming – not just of who holds influence now, but of where that influence is likely to grow.
Start with artificial intelligence. It’s moving from a conversation to an infrastructure. Government departments and private firms are adopting AI tools to drive everything from mobility planning to healthcare delivery.
That shift hints at something important: next year’s list could well feature algorithm architects, AI ethicists, or founders building regional language models from scratch.
Find out more here: https://t.co/whzHvQkgZK
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uae# #
dubai# #
dubai100#
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