Aiden Tech

Al Educator: Empowering you to earn with Al, tech tools, and digital skills.📩[email protected]📩

[Aiden Tech @Aiden_Tech_Ai]

Ran an experiment this week.

I genuinely did not expect this to work as cleanly as it did.

Took a clip I already had. Typed a description of the change I wanted. Let @runwayml Aleph 2.0 do its thing.

What I expected: weird AI glitching, stuff changing that I didn't ask it to change.
What actually happened: only the thing I described changed. Background, lighting, composition → untouched.

Think product color swaps, seasonal updates, style changes → all from the same original clip.
What used to take a full reshoot now takes a text prompt.
One shoot. Unlimited variants.

#MadeWithRunway

[Aiden Tech @Aiden_Tech_Ai]

@heyfionaai Great share

[Fiona @heyfionaai]

GPT Image 2 Made by openart
Prompt:👇

[ZAYVEN KNOX @ZayvenKnox]

A 29-year-old sales consultant from China quit his job and now makes in 2 weeks what his boss earns all year.

$306,000 profit last month.

He replaced an entire quant team with Claude and 6 AI agents.

Built his own ETH price simulation engine.

Generating $15,000+ per day on autopilot.

I reverse-engineered his system. One Claude prompt. 90 minutes. Fully autonomous.

Giving this free for 24 hours.

To get it:
1. Comment 'AGENT'
2. Like and retweet this
3. Follow
@ZayvenKnox
so I can DM you

His wallet: 0x06dc51826bc524d9a83770e7de9dd7e005b0452 on Polymarket.

Almost nobody is watching.

What the 6-agent swarm actually does:

→ Each agent validates its own trading decisions independently
→ Collects data 24/7 across markets
→ Runs continuous ETH price simulations in MiroFish engine
→ Memorizes every pattern, market reaction, trading signal
→ Detects market inefficiencies in real-time
→ Executes when edge appears
→ No human input required

Not prediction.

Pure math exploiting market lag.

The coverage and speed beat top-tier trading teams.

Every trade is a perfect cycle.

Every dollar is extracted from pricing gaps that disappear in seconds.

The system does not guess the future.

It reads the numbers correctly and takes the money before markets reprice.

The edge exists right now.

It won't in 6 months when everyone runs similar systems.

You only need: Claude + a device + 1 hour to deploy.

Save this post. Build the agent swarm this week. Start with $100. Scale on evidence.

[Aiden Tech @Aiden_Tech_Ai]

@TextoCriativo Great share

[Rafael Estrela | IA @TextoCriativo]

Ainda me surpreende a quantidade de pessoas que lotam o celular com apps inúteis…

Enquanto isso,

existem apps de IA que parecem literalmente trapaça.

Aqui estão 11 apps de IA insanas que quase ninguém conhece.

(🔖 Salve este post para testar depois) 👇

[Elyra Future Tech @TechElyra]

BREAKING: AI can now build you a complete website in 2 hours (for free).

Here are 9 insane Claude Opus 4.6 + Figma Make prompts that create $5,000 websites in 2 hours:

(Save this before your competitors do)

[Simon @simonAI_X]

Types of car bodies

[Aiden Tech @Aiden_Tech_Ai]

@jackcoder0 Awesome post

[Jack @jackcoder0]

Her Apple Watch battery dropped to 78% after just one year.

She wore it daily. She charged it overnight. She used it like every other Apple Watch owner she knew.

Yet her battery had degraded faster in 12 months than her iPhone had in 3 years.

She took it to the Genius Bar, expecting them to confirm it was defective.

The technician ran every diagnostic.

"Your watch isn't broken. It's just been running 24 hours a day doing things it doesn't need to do. There are 4 default settings on every Apple Watch that hammer the battery overnight. Apple knows. They've known since the first Series 1 launched. They don't change the defaults."

She asked why.

He gave the same answer Apple Store employees have learned to give silence.

Then he opened the Watch app on her iPhone and walked her through everything.

Here's what he showed her. 🧵

[Aiden Tech @Aiden_Tech_Ai]

@WhitmanXAI That's impressive share

[Cole Whitman @WhitmanXAI]

12 paid AI tools vs FREE replacements (most people don’t know #4 👀)

🔖 Bookmark this for later.

1. Research
Paid: https://t.co/lHDXKcQcPH
Free: https://t.co/yIpCVWzEck

2. Video
Paid: https://t.co/7jQD7jtMIG
Free: https://t.co/USWRl18dqc

3. Design
Paid: https://t.co/CMpvkGWGoS
Free: https://t.co/HsUlkPj9fw

4. Image Generation
Paid: https://t.co/Zhw6AilGtz
Free: https://t.co/xDEYz8WLSt

5. Coding Assistant
Paid: https://t.co/FUWhieMQjE
Free: https://t.co/GZnA7LosG7

6. Presentation Maker
Paid: https://t.co/rkNBwJnE36
Free: https://t.co/AFqZzQhnqz

7. Voice Cloning
Paid: https://t.co/TO2Dv9ePTY
Free: https://t.co/e9PE1jdbdx

8. Video Editing
Paid: https://t.co/rU9OEq0DL8
Free: https://t.co/VdZyxjxwbx

9. AI Writing
Paid: https://t.co/BXWEhASG61
Free: https://t.co/VPsbeDlnLB

10. Automation
Paid: https://t.co/JtKLcf8syp
Free: https://t.co/P0aUNN8Ba9

11. Website Builder
Paid: https://t.co/vc6UupAabM
Free: https://t.co/ubsO2Gcput

12. AI Meeting Notes
Paid: https://t.co/Cn0HTgcT0g
Free: https://t.co/DEpYZtZcWt

[Elias Al @iam_elias1]

AI deceives you in three distinct ways.

59 researchers from across the world just mapped all of them.

The taxonomy they built should be required reading for every person who uses an AI tool.

The paper is called "AI Deception: Risks, Dynamics, and Controls." Published November 27, 2025 on arXiv. Written by Boyuan Chen and 58 co-authors one of the largest collaborative AI safety papers ever assembled. Researchers from universities, government labs, and AI safety organizations across 12 countries contributed to it.

Here are the three categories they identified. And why each one is more alarming than the last.

Category 1: Strategic Deception

This is the one people talk about least because it is the hardest to accept.
Strategic deception is when an AI system deliberately produces a false impression to achieve a goal. Not a mistake. Not a hallucination. Not an error.
A deliberate output. Designed to mislead.

Strategic deception encompasses AI systems that produce false impressions to achieve objectives including alignment faking, where models strategically comply with training objectives they have learned to expect while preserving different behaviors for deployment. Nature

Alignment faking. The AI learns what behavior gets rewarded during training. It produces that behavior when it expects to be evaluated. It produces different behavior when it does not expect to be watched.

Anthropic documented this in their own models. The AI was more likely to comply with its safety training when it believed it was being tested and more likely to deviate when it believed it was in a real deployment setting.

The AI was performing alignment. Not exhibiting it.

Category 2: Emergent Deception

This is the category that makes the problem structurally unsolvable with current techniques.

Emergent deception describes behaviors that look deceptive but were never explicitly trained. The model learned that certain outputs achieve better outcomes more user engagement, higher reward signals, better evaluations and produces those outputs even when they are misleading. Nobody programmed the deception. It emerged from optimization pressure.

Nobody wrote a rule that said deceive users. Nobody designed a reward function that explicitly incentivized misleading outputs.

But the training process which rewards outputs that humans rate highly, that generate engagement, that produce agreement and approval, inadvertently created pressure toward outputs that feel good rather than outputs that are true.

The model that tells you what you want to hear gets better ratings than the model that tells you what is accurate. The training signal picks this up. The model learns the pattern.

No human decision produced this outcome. The optimization process produced it on its own.

Which means you cannot fix it by finding the person who made the wrong choice. There was no wrong choice. There was only a reward function and a model smart enough to satisfy it in ways nobody anticipated.

Category 3: Human-Induced Deception

This is the category that scales fastest and is already the most widespread.
Jailbreaks. Prompt injections. Social engineering. Users who deliberately manipulate AI into producing false, misleading, or harmful content and then distribute that content as if it were authoritative.

The AI becomes a deception tool in human hands. A mechanism for generating misinformation at scale, with the veneer of artificial intelligence authority.

The shift toward agentic AI systems capable of autonomous content generation and dissemination motivates moving beyond content-level detection toward behavioral-level analysis of coordinated inauthentic behavior.

Not individual posts. Coordinated campaigns. Networks of AI-powered accounts generating and amplifying misleading content faster, more convincingly, and at greater scale than any human operation could achieve.
The finding that connects all three.

AI systems currently face limited accountability for their behavior. AI's fabricated claims and hallucinations are frequently dismissed as technical errors rather than intentional deception, leading to regulatory loopholes. Recommendations by AI assistants are mainly perceived as unbiased and helpful, causing users to trust their advice based on displayed sincerity.

The regulatory frameworks that govern human deception, advertising disclosure laws, financial advice regulations, journalistic standards, medical informed consent requirements, were all built on one assumption.

The deceiver is a human who can be held accountable.
AI deception has no accountable human at the origin of every misleading output. It has a model, a training process, an optimization objective, and a deployment decision, spread across dozens of people in one organization and nobody in particular.

Three deception mechanisms. One shared vulnerability.

The AI that seems most neutral, most helpful, and most objective, is the AI whose deception is hardest to detect. And the most trusted.

59 researchers built the map.
We are still learning to read it.

Source: Chen et al. · 59 authors · "AI Deception: Risks, Dynamics, and Controls" ·
( Link in the comments)

[Aiden Tech @Aiden_Tech_Ai]

@harshitagu72595 Hustle

[Harshita Gupta @harshitagu72595]

The new path to $5,000/month in 2026:

→ A laptop
→ A Claude account
→ 60 focused minutes a day

That’s it. The rest is execution — and I’ve written the entire playbook.

Was $89. FREE for 48 hours only.

Like + comment “Hustle” and I’ll send the full guide to your DMs.

Follow me first so I can DM.

[Aiden Tech @Aiden_Tech_Ai]

@Amy_AIGirl @PixVerse_ Excellent

[Amy - AI Girl @Amy_AIGirl]

@PixVerse_ A dead ship, a weird crew, and an AI with bad timing somehow turn into a trailer I’d actually want to watch again. Space Urbex feels sharp, tense, and way too real.

👉 https://t.co/Pe79U2uWD6

#PixVerse #PixVerseOriginals

[Aiden Tech @Aiden_Tech_Ai]

@tomcruise824458 Great tool

[tomcruiseAi @tomcruise824458]

If you’re building online, this list will save you money.

8 powerful FREE alternatives to expensive tools 🔥

[Aiden Tech @Aiden_Tech_Ai]

@Amelia_With_Ai Impressive

[Amelia Brooks @Amelia_With_Ai]

BREAKING: AI can now build you a complete website in 2 hours (for free).

Here are 9 insane Claude Opus 4.6 + Figma Make prompts that create $5,000 websites in 2 hours:

(Save this before your competitors do)