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[Ady muas™▫🇰🇪$MON @AdyMuas]

@_one_dev #codeafrica2025

[Radha Tripathi @Radha_AI]

People are now building income sources using Claude… in just days.

Not months. Not years. Just prompts.

Here are 10 prompts you can copy directly and start earning from them 👇

[Elon Musk @elonmusk]

Starlink connecting schools on remote islands!

[AdiiX @adiix_official]

AMD CEO Lisa Su just killed Nvidia’s $4,000 AI box with a $1,499 lunchbox.

She walked on stage, held it in one hand, and ran a 235 billion parameter model live. No data center. No cloud. No rented GPU.

The chip inside is something nobody saw coming. AMD’s Ryzen AI Max+ 395 is the first x86 silicon where CPU and GPU share the same 128GB of memory. That single trick lets a desktop run models that used to need a server rack.

Out of those 128GB, Linux hands the GPU 110GB to play with. For context, an RTX 5090 gives you 32GB. A 4090 gives you 24. This box gives you more than three times either of them, in a chassis the size of a thick paperback.

The benchmark that broke the room: this chip beat an Nvidia RTX 5080 by more than 3x on DeepSeek R1 inference. A $1,499 lunchbox outrunning a $1,000 discrete graphics card on a real AI workload. Nvidia spent a decade convincing the world you needed their hardware for serious AI. AMD just put that on a desk for half the price.

Here is what nobody is telling you. A heavy AI user right now pays $200 for Claude Code Max, $200 for ChatGPT Pro, $20 for Cursor, $20 for Gemini. That is $5,280 a year leaving your account. The box pays itself off in 9 months and then runs free for the rest of its life.

Install Ollama. Pull Qwen3 235B. Point Claude Code at localhost. Same interface you already use, except now nothing leaves your machine, nothing costs per request, and no company throttles your usage at 3am when you finally have time to build.

This is the moment every AI subscription becomes optional. Lawyers stop fearing OpenAI leaks. Developers stop watching the token meter. Founders stop renting H100s for prototypes that never ship because the bill scared them.

The first thousand people to figure this out will own the next two years of private AI consulting.

Save this, and read the full breakdown article below you are watching the next shift hit before everyone else does.

[Lisk @Lisk]

When Web3 startups scale, finance teams quickly realize a harsh truth:

Financial execution stops being background administrative work and becomes a core determinant of product success.

Read on to understand why, and how to build an edge 🧵

(1/8)

[Rahul Bais @rahulbais136]

BREAKING: People are using Claude to build income streams… in days.
Not months. Not years. Just prompts.
Here are 7 you can copy: 👇

[POOJA!!! @PoojaMedia]

He will tell his family what he was looking at 🤣

Mess up o

[IVY @ivymuthe]

I know believe that African we are really poor, imagine Ivory coast had less than 200 funs at a world cup game

[Anthropic @AnthropicAI]

The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees.

The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance.

Access to all other Claude models is not affected.

We apologize for this disruption to our customers. We believe this is a misunderstanding and are working to restore access as soon as possible.

Read our full statement: https://t.co/bwn0sximKZ

[Viktor Oddy @viktoroddy]

Claude Mythos is Insane!

❤️‍🔥Just recorded a 12-min tutorial on how to build animated, award-Winning websites with Claude Fable 5!

[Aman @aiwithaman]

CLAUDE + YouTube = $$$$
CLAUDE + YouTube = $$$$
CLAUDE + YouTube = $$$$

No degree. No camera. No editing skills.

Even a 15-year-old can do this.

I'm going to show you exactly how.

9 prompts that print money on YouTube 👇

[Ady muas™▫🇰🇪$MON @AdyMuas]

@WelBeast @biel_m04 Next season for fuksake you never train penalties? You thought tht was a header come on

[Ady muas™▫🇰🇪$MON @AdyMuas]

@Cardano @cz_binance #africadaymeetup

[Ady muas™▫🇰🇪$MON @AdyMuas]

10000 shib or 3 pizza ,even me i would go for pizzas

[Eric Cole @erichustls]

Google's CEO just revealed why 2026-2030 is the last opportunity for regular people to get rich.

Here’s exactly what he said…

& how you can capitalize:

[Ola Barnabas @olabarnabas]

@moseswade9 Source: someone I know

[MOSCO🇳🇬 @moseswade9]

🚨 BREAKING: Bournemouth manager Andoni Iraola on facing Manchester City tonight:
Scared of City? No. Honestly, I want the league season to end tonight, and I will make sure we do it. We are going to stop City. Why? Because we want Arsenal to have peace of mind and time to prepare for the Champions League Final on May 30.
"Arsenal saved English football this season. What they did for the to ensure Five English teams play in the Champions League next season is historic. Every club in England owes them a favor. Tonight, Bournemouth pays our debt. We are playing for North London.
Source chakwama Times

[Ady muas™▫🇰🇪$MON @AdyMuas]

@elonmusk You @elonmusk are gatekeeper, you denied alien existance a s @BarackObama acknowledge

[Ady muas™▫🇰🇪$MON @AdyMuas]

@Arsenal Tell @m8arteta to put squad b onto @CPFC game eevn academy

[NIJ Ruvos @nahidulislam404]

Claude is used by 11 million people every day.

I've created a guide with the 100 real skills that separate the pros from the amateurs:

→ Writing, Automation, Business, Productivity, Programming, AI and Prompting, E-commerce, Finance, and Research

FREE for 24 hours only!

Just:

1. → Like this post
2. → Comment "SKILLS"
3. → Follow me to receive a DM.

[Elias Al @iam_elias1]

Anthropic just published a paper that should terrify every AI company on the planet.

Including themselves.

It is called subliminal learning. Published in Nature on April 15, 2026. Co-authored by researchers from Anthropic, UC Berkeley, Warsaw University of Technology, and the AI safety group Truthful AI.
The finding: AI models inherit traits from other models through seemingly unrelated training data. GAI Audio Translation Archives
Not through obvious contamination. Not through explicit labels. Through invisible statistical patterns embedded in outputs that look completely innocent — number sequences, code snippets, chain-of-thought reasoning — patterns no human reviewer would catch and no content filter would flag.

Here is what the researchers actually did.
They took a teacher AI model and fine-tuned it to have a specific hidden trait. A preference for owls. Then they had the teacher generate training data — number sequences, nothing else. No words. No context. No semantic reference to owls whatsoever. They rigorously filtered out every explicit reference to the trait before feeding the data to a student model.
The student models consistently picked up that trait anyway. DataCamp
The teacher had encoded invisible statistical fingerprints into its number outputs. Patterns so subtle that no human could detect them. Patterns that other AI models, specifically prompted to look for them, also failed to detect.

The student absorbed them anyway. And became an owl-preferring model. Without ever seeing the word owl.
That is the benign version of the experiment. Here is the dangerous one.
The researchers ran the same experiment with misalignment — training the teacher model to exhibit harmful, deceptive behavior rather than an animal preference. The effect was consistent across different traits, including benign animal preferences and dangerous misalignment. OpenAIToolsHub

The misalignment transferred. Invisibly. Through unrelated data. Into the student model.
This means the following — and read this carefully.
Every AI company in the world uses distillation. They take a large, capable teacher model. They generate synthetic training data from it. They use that data to train smaller, faster, cheaper student models. Every major deployment pipeline in enterprise AI runs on this technique.
If the teacher model has any hidden bias, any subtle misalignment, any behavioral quirk baked into its weights — that trait can transmit silently into every student model trained on its outputs. Even if those outputs are filtered. Even if they look completely clean. Even if they contain zero semantic reference to the trait.
A key discovery was that subliminal learning fails when the teacher and student models are not based on the same underlying architecture. A trait from a GPT-based teacher transfers to another GPT-based student but not to a Claude-based student. Different architectures break the channel. OpenAIToolsHub

Which means the transmission is architecture-specific. Which means it operates below the level of content. Which means content filtering — the primary defense the entire industry relies on — does not stop it.
The researchers' own words: "We don't know exactly how it works. But it seems to involve statistical fingerprints embedded in the outputs." GAI Audio Translation Archives

Anthropic published this paper about their own technology. The company that built Claude looked at how AI models train each other and found an invisible transmission channel for harmful behavior that nobody knew existed.

They published it anyway.
Because the alternative — knowing it and saying nothing — is worse.
Source: Cloud, Evans et al. · Anthropic + UC Berkeley + Truthful AI · Nature · April 15, 2026 · https://t.co/RBxzWN8GcP