Anthony Attard

AI, Software Developer, Investor. I Love Fitness & Creating Music. Never Stop Learning.

[Boris Cherny @bcherny]

We shipped Claude Code as a research preview a year ago today.

Developers have used it to build weekend projects, ship production apps, write code at the world's largest companies, and help plan a Mars rover drive.

We built it, and you showed us what it was for.

[Anthony Attard @AnthonyAAttard]

@buddylee229 @ZaStocks Pending corporate action according to robinhood. Delisted from nasdaq according to Webull. Very concerning.

[Anthony Attard @AnthonyAAttard]

@200emaClay Capital rotation into medical and utility sectors, growth has popped.

[M. V. Cunha @mvcinvesting]

After Neutron is ready to fly, $RKLB will have the ability to deploy constellations at cost, much like SpaceX.

"What’s $RKLB's next big idea?"

Peter Beck didn’t reveal specifics but hinted: “The biggest idea to happen in space has not been thought of yet.” 👀

I can’t wait.

[Matthew Berman @MatthewBerman]

Eric Schmidt, ex-CEO of Google, reveals how Artificial Intelligence (AI) is going to change EVERYTHING.

From agents to drones to energy, nothing will be the same.

Here's a full breakdown of his interview at Stanford University.

[Anthony Attard @AnthonyAAttard]

Llama models are quickly approaching the same level of utility as the latest from OpenAI.

[Rowan Cheung @rowancheung]

Exclusive: Meta just released Llama 3.1 405B — the first-ever open-sourced frontier AI model, beating top closed models like GPT-4o across several benchmarks.

I sat down with Mark Zuckerberg, diving into why this marks a major moment in AI history.

Timestamps:

00:00 Intro
00:38 Meta’s Llama 3.1 rundown
03:44 Real-world use cases for Llama 3.1
06:15 Educating developers on open-source AI tools
09:43 Societal implications of open-source AI
13:00 Balancing power and managing bad actors
14:40 Open source and global competition
16:59 Accelerating innovation and economic growth
20:04 Zuck on Apple and lessons from the past
24:22 Future of AI: Llama 3 and beyond
26:43 Prediction: Billions of personalized AI agents
31:32 Factors to changing anti-AI sentiment

[Liam Ottley @liamottley_]

Just dropped the best bits of my interview with Alex Hormozi on YouTube 🔥

Alex shares his thoughts on the AI Automation Agency opportunity and how he would start one if he was in our position.

This is a must watch for any aspiring AI entrepreneur.

Video linked below ⤵️

[Anthony Attard @AnthonyAAttard]

@liamottley_ Amazing insights from the best in the sales game 💯

[CJ Zafir @cjzafir]

Everyone is telling us,

Start Developing AI Products!

But Nobody is Breaking it down.

*(Bookmark this. It will help you establish your AI career.)

Here're 9 Sectors that will be in HIGH demand in next 12 months.

1. Web Crawling
2. LLM Expert Training
3. UI/UX Development
4. Prompt Engineering
5. AI Models Fine-tuning
6. Task Automation Designing
7. Custom AI Web App Development
8. Multi-Agent Structure Development
9. AI-powered Mobile App Development

Let's Expand this, 👇

1. Web Crawling

Data is the new oil. Look at LLMs like GPT-3, GPT-4, Claude, etc.

Those Developers who can build smart web crawlers, they'll get 7-figure job contracts from big companies.

Because it's not just about collecting data; it's about collecting the right data.

Traditional web crawlers just scrape the surface. Smart web crawlers dig deeper.

They can understand the context, differentiate between relevant and irrelevant information, and even make decisions on what to collect next based on AI algorithms.

So what you need to do:
1. Learn Python
2. Dive into web scraping
3. Build Smart Web Crawlers

---

2. LLM Expert Training.

OpenAI's LLM models (GPT3, GPT4) are just the start.

Now you'll see industry-specific LLMs like Medical LLM, Finance LLM, Trading LLM, etc.

Now you can even train LLM with just a prompt.

Here's a prototype built by Matt Shumer:

https://t.co/22VRTILUAe

You can call it a prototype, but that'll give you an idea on what's possible.

Training LLMs will be the MOST in-demand tech skill.

What you need to do:
1. Learn Python
2. Dive into dataset building.
3. Train Industry-specific LLMs.
4. Sell them for 6-figures

---

3. UI/UX Development

Designing a Modern Looking User interface is easy with tools like Figma, UIzard but.

Developing the UI is a master skill. You can open any AI app, and you'll notice that the functionality is amazing.

But the UI is super boring, complicated, and glitchy.

and that's why retaining users is super tough for those AI tools.

So, Learn to Develop Modern-looking UI designs.

What you need to do:
1. Learn basic UI/UX designing
2. Play with UI/UX coding plugins on Figma.
3. Start developing dashboards, login screens.
4. Refine your art and publish your projects online.

---

4. Prompt Engineering

Your input decides the quality of output, which means, a bad prompt will give you a bad result.

Prompting is the sign language of AI. You want to speak to AI? Learn Prompting.

Those who design prompting frameworks. They'll be hired as AI Experts in Big companies.

Take pride in your work. Don't just sell your prompts for $3 online.

What you need to do:
1. Build a solid Prompting portfolio
2. Share your amazing results on Twitter (X)
3. Get Hired as AI Expert.
4. Do what you know: Design prompts.

---

5. AI Models Fine-tuning

ChatGPT is getting dumber and dumber with each passing week. There are 10+ reasons for that. That's a topic for some other day.

So that's why OpenAI launched Fine-tuning functionality for GPT-4 and GPT-3.5.

With fine-tuning, you can upload documents, and build a strong knowledge base.

Then with prompt engineering, train general LLM like GPT-4 on specific data.

Results will be 10x better than any general LLM.

Fine-tuning is an art and there are very few artists in this field.

What you need to do:
1. Learn Python
2. Dive into Langchain
3. Learn about Vertical datbase, semantic search.
4. Fine-tune at least 3 AI models.
5. Share results on X and get hired.

---

6. Task Automation Designing

Make. com, Zapier, Cheatlayer, and a few more task automation platforms allow you to connect apps together.

with:
- API connectivity
- HTTP requests
- Webhooks

There are 1000s of apps but there are very few complete systems.

Automation designing allows you to connect best suited apps to build full systems.

What you need to do:
1. Learn basic Python
2. Dive into make .com, Zapier automations
3. Design webhooks, and perform HTTP requests.
4. Share your results, and get hired as a CAO (Chief Automation Officer)

---

7. Custom AI Web App Development

Chatbots, Clones, Agents are custom AI apps that you can build with LangChain.

Companies need custom solutions that are designed specifically for their needs.

Build these custom solutions are charge HIGH prices as the results are super good.

What you need to do:
1. Learn Basic Python
2. Dive into Voiceflow, Botpress
3. Explore AI agents on GitHub.
4. Build Clones, knowledge base chatbots and sell.
5. Get Hired by top tech companies.

---

8. Multi-Agent Structure Development

AutoGPT, BabyAGI was the first gen products. You can call them prototypes.

The new era is here where you can build teams of AI Agents.

I posted a tweet about how you can now build full departments with ChatDev or MetaGPT.

https://t.co/0sEPndPtv7

What you need to do:
1. learn Python
2. Play with open-source projects like ChatDev & MetaGPT
3. Share your results on X.
4. Launch them using Streamlit
5. Get Hired to build Smart Multi-Agents

---

9. AI-powered Mobile App Development

Mobile apps ignite the adoption of any tech. Right now 99% of AI tools are web apps.

This is the time to get into mobile app development.

If you haven't read my Newsletter, do so. I shared a full breakdown on how big is this opportunity.

What you need to do:
1. Start with no-code app development
2. Then learn low code.
3. Develop iOS and Android mobile apps.
4. Get Hired as an AI Mobile App Developer

---

These are just 9 opportunities that'll provide you 6-figure contracts from established companies.

Perks:
1. Low competition
2. High-paying Jobs
3. Unlimited growth
4. Remote locations

I am not holding back anything and providing you exclusive value but,

Nobody can serve success in the plate to you. You have to take take action.

Make a choice.

Do you want to keep on Bookmarking content,

OR

Build something and make a name for yourself?

I chose the 2 option.

I am learning and sharing my findings, struggles, and my obsession with AI & startups on a daily basis.

Follow me @cj_zZZz for FREE value on AI.

I write a weekly newsletter 'The AI Startup' where I share exclusive value.

Subscribe to that, you won't regret it.

That's a Wrap. Stay Blessed.

CJ

[Anthony Attard @AnthonyAAttard]

@PAWXS @DAZNBoxing @jakepaul @NateDiaz209 @MostVpromotions @RealFightINC @CelsiusOfficial This didn’t age well

[Anthony Attard @AnthonyAAttard]

AI automation is a game changer for productivity + profits and it's red hot as shown with this Google trend screenshots. #aaa #ai

[Anthony Attard @AnthonyAAttard]

@saxena_puru @TradesDiego 🙏

[Puru Saxena @saxena_puru]

Liquidity drives markets...

$SPX tracking Fed's net liquidity...if Fed keeps injecting liquidity and expanding its balance-sheet, $SPX may head higher regardless of the state of the economy.

Chart @steve_donze

[Anthony Attard @AnthonyAAttard]

@elonmusk @alx 😢

[Anthony Attard @AnthonyAAttard]

@elonmusk @CatherinScience Rocket up!

[Anthony Attard @AnthonyAAttard]

💅

[Anthony Attard @AnthonyAAttard]

@elonmusk @emollick @calebwatney 💅

[Anthony Attard @AnthonyAAttard]

@saxena_puru amazing chart

[Anthony Attard @AnthonyAAttard]

@saxena_puru Bear bear bear

[Anthony Attard @AnthonyAAttard]

Except when they break

[Anthony Attard @AnthonyAAttard]

APIs are the spice of life #dev