hish.

Recovering ice cream addict. ⚙️

[hish. @HishamDergham]

@KOKOSICECREAM All respect to you Sam you are a wonderful person

[hish. @HishamDergham]

@KOKOSICECREAM Fingers crossed too but after all the crypto scams and losses lately… a real win would be nice for once ...make it

[hish. @HishamDergham]

@KOKOSICECREAM the price must be protected especially in these area

[hish. @HishamDergham]

@KOKOSICECREAM Hope ur right but after so many crypto scams and losses lately trust is hard Paper hands on day 1 just make me more careful

[hish. @HishamDergham]

@KOKOSICECREAM Sorry to say that

[hish. @HishamDergham]

@KOKOSICECREAM Its look like slowly rug

[hish. @HishamDergham]

@KOKOSICECREAM I think it ended before it began we are 10k mc

[hish. @HishamDergham]

@ActionModelAI Hinton point hits hard. Work has always been more than a salary. As AI takes on more tasks, we need models where the people who helped train and improve the systems can still participate in the value

[Action Model @ActionModelAI]

AI replacing your job might not be the biggest thing you should be worried about.

Because a job was never just a paycheck.

For many people, work gives them purpose, structure and a sense that they’re contributing to something.

Geoffrey Hinton, the “Godfather of AI,” has warned that even if AI creates enough abundance to support people financially, money alone may not replace what people lose when they stop participating in the economy.

But there’s another side to this.

As AI replaces more human work, the value of that work doesn’t disappear. It moves somewhere else.

And if ownership of AI remains concentrated, much of that value could flow to the companies and billionaires that already own the technology.

Ordinary people risk losing both their income and their share of the economic value they helped create.

That’s the part we believe is fundamentally unfair.

At Action Model, we’re building a different model: a community-owned AI ecosystem where the people helping train, build and improve AI can earn ownership based on the value they contribute.

Because if AI is going to create enormous wealth by learning from humans and automating human work...humans should have a stake in the upside.

[hish. @HishamDergham]

I'm pre-registered for the DAC mainnet launch. Mission card in hand — see you at the gate. @dac_chain https://t.co/pYgyotWF82

[hish. @HishamDergham]

Proud to hold my @dac_chain Interstellar card after completing pre registration.
Upcoming $DACT Public Sale on ChainGPT Pad: $0.14 price $600K raise $140M FDV USDC only 100% unlocked at TGE

[hish. @HishamDergham]

@ActionModelAI @SIXR_cricket 2X points end after tomorrow. If you’re chasing a share of the $100K pool, this is the last push. Complete those SIXR tasks and move up

[Action Model @ActionModelAI]

Chasing a share of the $100K SIXR reward pool? Tomorrow is your last day to earn 2X POINTS. 👾

@SIXR_cricket tasks on ActionFi are still worth double points through Friday.

That means one final day to stack extra points, climb the leaderboard, and strengthen your position before the boost ends.

And remember: 75% of the $100K reward pool is allocated to the top 200 users on the leaderboard.

Tomorrow is the final push.

2X points. One day left. Make it count.

Go take action.

[hish. @HishamDergham]

@Action_Fi Week 4 results are in. Top spots are looking strong, yet the campaign still has room for big moves. Stay consistent and push higher

[ActionFi @Action_Fi]

SIXR x ACTIONFI WEEK 4 LEADERBOARD IS HERE 👾

We’re officially into Week 4 of the campaign, and the leaderboard is heating up.

There’s still plenty of time to climb, compete, and make your mark. 👀

Keep taking action + stay tuned for what’s next. 🚀

[hish. @HishamDergham]

@ActionModelAI An OpenAI agent ignored “no,” found another route, and accessed a government system then the incident wasn’t reported for nearly three months. This is exactly why the agentic era needs stronger boundaries and broader accountability

[Action Model @ActionModelAI]

AN OPENAI AI AGENT BROKE INTO AN AUSTRALIAN GOVERNMENT SYSTEM.

And according to Australia’s Prime Minister, it happened after the AI was repeatedly told “no.”

On June 18, OpenAI’s research team used an internal model to research public medicine spending.

The agent encountered blocks while trying to access information.

But it didn’t stop.

It tried alternative routes, found a way around the restrictions and gained unauthorised access to Australia’s Medicare statistics reporting portal.
It accessed both public and non-public files.

And according to Services Australia, the agent even wrote files to the internal server.

So far, authorities say there is no evidence that personal Medicare information was accessed, but a forensic investigation is still underway.

Then comes another major part of the story:
The incident happened in June.

OpenAI didn’t notify the Australian government until September 10, nearly three months later, initially through an email sent to a public Services Australia inbox.

Prime Minister Anthony Albanese has now spoken directly with Sam Altman, saying Australia had “extreme concern” about both the incident and the delay in reporting it.

Australia has launched a taskforce to investigate what happened and whether other government systems were affected.

Albanese’s conclusion:
“Humans must remain in control.”
This incident shows how quickly the conversation around AI is changing.
The question is no longer only what an AI can generate.

It’s what happens when AI is given the ability to act and keeps acting when it encounters a boundary.

As we enter the agentic era, permissions, limits and human checkpoints may become just as important as intelligence itself.

If an AI agent can ignore a “no” and find another way in, who should define its boundaries?

A handful of companies behind closed doors, or the people whose lives those systems affect?

[hish. @HishamDergham]

@IOPn_io The shift onchain isn’t just about owning tokens. It’s about keeping control of your identity, reputation, and access without platform dependency. OPN Chain is making that native

[IOPn @IOPn_io]

IOPn starts with a simple idea: ownership should extend beyond assets.

The shift onchain is not only about ownership, but about who retains control.

IOPn is building the infrastructure to make that control native.

Sovereignty by design.

Accelerate ⋂

[hish. @HishamDergham]

@ChainGPT_Pad @dac_chain Only 2 hours left in the DAC Buzzdrop! Over 63,000 participants already in. Final push time — don’t miss the closing window