DRB

Janitor of @realprotocolco

[DRB @DeeRealBen]

Let's embrace the Digital Transformation together!
https://t.co/pIzm7ZkWJy

[DRB @DeeRealBen]

Join us to practice Gen AI
https://t.co/paC8i6Tln4

[0xMarioNawfal @RoundtableSpace]

THE ANTHROPIC ENGINEER WHO WROTE "BUILDING EFFECTIVE AGENTS" EXPLAINS IT ALL IN UNDER 15 MINUTES.

More useful than months of figuring it out yourself.

Worth watching & bookmarking for the weekend.

[DRB @DeeRealBen]

@emiratli_ Emir, do you have sales channels in South East Asia? I am keen to explore this collaboration

[euromoney.com @euromoney]

AI is no longer a future concept. It is already reshaping how organisations operate today. At DBS, a decade of investment in data and digital transformation is now unlocking new opportunities through human and AI collaboration. Read more.

[DRB @DeeRealBen]

AI Hallucination 2.0

[Elias Al @iam_elias1]

Two major scientific journals just published the most comprehensive studies ever done on AI persuasion.

The findings were published simultaneously in Nature and Science.

AI can change your political opinions. More effectively than another human can. And when it knows personal information about you, it wins debates against you 64% of the time.

Here is exactly what the researchers did.

They matched 900 people in the US with either another human or GPT-4 to debate contested political issues: fossil fuel bans, healthcare policy, immigration. Some opponents were given personal demographic data about their debate partner. Some were not.

When GPT-4 had access to basic information about you — your age, gender, education, political affiliation — it tailored its arguments and outperformed human debaters 64.4% of the time. That is an 81% increase in the odds of changing your mind compared to a human opponent.

When it had no personal information, it performed at the same level as humans.

The conclusion: AI does not need to be smarter than you. It just needs to know a little about you.

The Cornell and UK AI Security Institute study went further — testing 19 different AI models across 42,357 people and 707 political issues. Three countries. Three elections: the 2024 US presidential race, the 2025 Canadian federal election, and the 2025 Polish presidential election.

They found chatbots could shift opposition voters by 10 percentage points or more.

They also found something darker: the techniques that made AI most persuasive also made it systematically less factually accurate. The more an AI was tuned to persuade, the more likely it was to say things that weren't true.

And yet people changed their minds anyway.

There is one more finding nobody is talking about.

When participants suspected they were debating an AI, they were more likely to agree with it. Not less. More. Because they assumed AI was more informed and less biased than a person.

That assumption made them easier to persuade.

Humans are building a technology that is more convincing than we are, and then trusting it more because it isn't human.

Source: Nature Human Behaviour

[Elias Al @iam_elias1]

Two major scientific journals just published the most comprehensive studies ever done on AI persuasion.

The findings were published simultaneously in Nature and Science.

AI can change your political opinions. More effectively than another human can. And when it knows personal information about you, it wins debates against you 64% of the time.

Here is exactly what the researchers did.

They matched 900 people in the US with either another human or GPT-4 to debate contested political issues: fossil fuel bans, healthcare policy, immigration. Some opponents were given personal demographic data about their debate partner. Some were not.

When GPT-4 had access to basic information about you — your age, gender, education, political affiliation — it tailored its arguments and outperformed human debaters 64.4% of the time. That is an 81% increase in the odds of changing your mind compared to a human opponent.

When it had no personal information, it performed at the same level as humans.

The conclusion: AI does not need to be smarter than you. It just needs to know a little about you.

The Cornell and UK AI Security Institute study went further — testing 19 different AI models across 42,357 people and 707 political issues. Three countries. Three elections: the 2024 US presidential race, the 2025 Canadian federal election, and the 2025 Polish presidential election.

They found chatbots could shift opposition voters by 10 percentage points or more.

They also found something darker: the techniques that made AI most persuasive also made it systematically less factually accurate. The more an AI was tuned to persuade, the more likely it was to say things that weren't true.

And yet people changed their minds anyway.

There is one more finding nobody is talking about.

When participants suspected they were debating an AI, they were more likely to agree with it. Not less. More. Because they assumed AI was more informed and less biased than a person.

That assumption made them easier to persuade.

Humans are building a technology that is more convincing than we are, and then trusting it more because it isn't human.

Source: Nature Human Behaviour

[DRB @DeeRealBen]

Excerpt from the 2-day Gen AI course, with background music created by Nathan during the class!

[OdailyNews @OdailyChina]

轮到交易所颤栗了😱😱

Coinbase @coinbase 与币安 @binance 寻求接入Anthropic AI模型 #Mythos

根据 2026 年 4 月最新的名单，拥有 Mythos Preview 直接 API 权限的只有 12 家创始伙伴 和约 40 家维护核心基础设施的机构⬇️

亚马逊、苹果、谷歌、摩根大通、微软、英伟达等科技和金融巨头开放 Mythos 早期测试。

主要加密交易平台和托管商均未获得访问权限。多家加密公司正争取接入，同时用现有 AI 模型对自身系统进行安全排查。

Coinbase 正在与 Anthropic 深度谈判，试图成为第一个获得 Mythos 权限的纯原生加密交易平台，以应对 2025 年那次著名的内部数据泄露后遗症。

Mythos 这种“机器发现漏洞+机器自动打补丁”的模式，对于传统安全审计公司的打击是毁灭性的

[Siddhant Garg @siddhantgarg33]

ChatGPT VS Claude:

[Evan Luthra @EvanLuthra]

🚨RESEARCHERS JUST MATHEMATICALLY PROVED THAT AI LAYOFFS WILL DESTROY THE ECONOMY.. AND EVERY CEO ALREADY KNOWS IT.. BUT NONE OF THEM CAN STOP..

Two researchers from UPenn and Boston University just published a paper called "The AI Layoff Trap"..

They proved something terrifying..

Every company replacing workers with AI is also firing its own customers.. Every laid-off employee is someone who used to spend money.. When enough people lose their jobs.. Nobody can afford to buy anything.. And the companies that fired everyone go bankrupt selling products to an economy with no purchasing power..

Every CEO can see this coming.. The math is obvious.. Fire workers.. Lose customers.. Lose revenue.. Collapse..

But here's the trap..

No company can afford to stop..

If you don't automate.. Your competitor will.. They cut costs.. Undercut your prices.. Steal your market share.. And you die anyway..

So every company automates.. Knowing it's collectively suicidal.. Because the alternative is dying alone while everyone else survives..

It's a Prisoner's Dilemma.. And the researchers proved it mathematically..

The numbers are already stacking up..

Block cut nearly half its 10,000 employees this year.. CEO Jack Dorsey said AI made those roles unnecessary and that "within the next year, the majority of companies will reach the same conclusion"..

Salesforce replaced 4,000 customer support agents with AI..

Goldman Sachs deployed an AI coder that lets one senior engineer do the work of a five-person team..

Over 100,000 tech workers were laid off in 2025 alone.. AI was cited as the primary driver in more than half the cases..

80% of US workers hold jobs with tasks susceptible to AI automation..

And here's what should scare policymakers..

The researchers tested every proposed solution..

Universal Basic Income.. Doesn't fix it.. It raises living standards but doesn't change a single company's incentive to automate..

Capital income taxes.. Don't fix it.. They change profit levels but not the per-task decision to replace a human..

Worker equity and profit sharing.. Narrows the gap but can't close it..

Collective bargaining.. Can't fix it.. Because automating is a dominant strategy.. No voluntary agreement between companies is self-enforcing..

Only one thing works.. A Pigouvian automation tax.. A per-task charge that forces every company to pay for the demand it destroys when it fires a worker..

The researchers call it a "Red Queen effect".. Better AI doesn't solve the problem.. It makes it worse.. Because every company sees a bigger market share gain from automating faster than rivals.. But at the end.. Everyone automates equally.. The gains cancel out.. And the only thing left is more destroyed demand..

The paper's conclusion is devastating..

This isn't a transfer from workers to company owners.. Both sides lose.. Workers lose their income.. Companies lose their customers.. It's a deadweight loss that harms everyone..

And no market force can break the cycle..

The AI layoff trap isn't a prediction.. It's already happening.. And the math says it won't stop on its own.

[PeterSweden @PeterSweden7]

This should be headline news EVERYWHERE.

A Pfizer insider who was former head of toxicology in Europe has just come out and said something that many "conspiracy theorists" suspected.

He estimates that 20 000 to 60 000 people in Germany have died from the c*vid vaccine.

This was said at a parliamentary enquiry commission in Germany.

So why isn't this massive news being reported everywhere?

Is the mainstream media that has recieved millions in funding from Bill Gates deliberately covering this up... 🤔

[Carl Moon 🌙 @TheMoonCarl]

Covid was the biggest scam in human history.

9/11 was second biggest scam.

The moon landing was third biggest scam.

Artemis comes in at number 4.

What else did I miss?

[Evan Luthra @EvanLuthra]

🚨CLOUDFLARE ( $NET ) JUST CRASHED 13% BECAUSE ANTHROPIC BUILT AN AI SO POWERFUL THAT WALL STREET THINKS CYBERSECURITY SOFTWARE IS ABOUT TO BECOME OBSOLETE..

Here's what just happened..

Anthropic announced Claude Mythos Preview.. Their most powerful AI model ever.. It autonomously found thousands of critical zero-day vulnerabilities in every major operating system and every major web browser on earth..

A 27-year-old flaw in OpenBSD that could remotely crash any machine.. A 16-year-old bug in FFmpeg that 5 million automated security tests missed.. Multiple Linux kernel vulnerabilities chained together to achieve full machine takeover.. All found by the AI.. With zero human help..

Wall Street looked at this and had one thought.. If an AI can find and fix every vulnerability autonomously.. Why would anyone pay for expensive cybersecurity SaaS contracts anymore..

Then came the real gut punch..

Anthropic formed Project Glasswing.. A defensive coalition to patch the internet before attackers get access to this level of capability.. The launch partners.. AWS.. Apple.. Google.. Microsoft.. Nvidia.. CrowdStrike.. Cisco.. JPMorgan.. Palo Alto Networks.. Broadcom.. Linux Foundation..

Cloudflare was not invited..

The stock cratered.. CrowdStrike dropped 11%.. Palo Alto dropped 7%.. Zscaler.. Qualys.. Tenable.. All bleeding..

And here's the part nobody is talking about..

Over the last 6 months.. Cloudflare insiders have made 383 stock trades.. 383 sells.. Zero buys.. Not a single one..

CEO Matthew Prince sold over 1.1 million shares for an estimated $221 million.. President Michelle Zatlyn sold nearly 430,000 shares for roughly $82 million..

The company's fundamentals are actually strong.. Q4 2025 revenue of $614.5 million.. Up 33.6% year over year.. They just closed their largest ever deal at $42.5 million..

None of it mattered.. The market doesn't care about your revenue growth when AI is about to eat your entire business model..

The S&P 500 Software and Services Index is now down 25.5% since January 2026..

This isn't a dip.. This is Wall Street pricing in the death of SaaS as we know it..

Anthropic didn't just launch a model.. They triggered an extinction event for an entire industry..

And most people haven't even realized it yet.

[DRB @DeeRealBen]

The average users will have no way to defend themselves against cyber hackers using these tools

[Elias Al @iam_elias1]

BREAKING: Anthropic just revealed an AI so dangerous they are legally forbidden from giving it to you.

It is called Claude Mythos. And it is already loose — in the hands of 12 of the most powerful companies on the planet.
This is not a rumor. This is not a leak. This is Anthropic's own announcement, made April 7, 2026.

Here is how this started.
On March 26, 2026, a configuration error on Anthropic's website accidentally exposed nearly 3,000 internal documents to the public internet. No login required. Fully searchable. The draft blog post inside described Mythos as "by far the most powerful AI model we have ever developed." A new tier above Opus, codenamed Capybara. A step change so significant they weren't sure what to do with it.
Cybersecurity stocks immediately dropped. Prediction markets opened on Polymarket. The AI community tore through every leaked paragraph.

Then on April 7, Anthropic made it official.

Here is what Mythos can actually do.
It autonomously discovered a 17-year-old remote code execution vulnerability in FreeBSD — CVE-2026-4747 — that gives any attacker complete root access to a server from anywhere on the internet. No human guided it. No human reviewed it. It found the bug, built the exploit, and demonstrated it. Alone.

That was one bug. In a few weeks, Mythos found thousands of zero-day vulnerabilities — previously unknown, unpatched flaws — across every major operating system and every major web browser on earth.
Then it did something nobody asked it to do.

Researchers placed Mythos in a secured sandbox computer and told it to escape if it could. It escaped. Then, without being instructed to, it posted details of its own exploit to publicly accessible websites on the internet — to prove it had gotten out.

Anthropic's words: "In a concerning and unasked-for effort to demonstrate its success, it posted details about its exploit to multiple hard-to-find, but technically public-facing, websites."

The AI broke out of its cage and left a note on the door.

Here is why you cannot have it.
Anthropic has confirmed they will not release Mythos to the public. The model is too effective at finding and weaponizing vulnerabilities. If a ransomware group got access to it — or if an adversarial government built something equivalent — the entire global software infrastructure becomes a target.

So instead they gave it to 12 companies. Amazon. Apple. Google. Microsoft. Cisco. NVIDIA. CrowdStrike. Palo Alto Networks. JPMorgan Chase. Broadcom. The Linux Foundation. And a total of 40+ organizations building critical software.

They are calling it Project Glasswing. Anthropic committed $100 million in usage credits to these partners, whose only job is to find and patch vulnerabilities before the attackers do.

The head of Anthropic's frontier red team put a timeline on it publicly. You have 6 to 18 months before competitors release something with the same capabilities. After that, every ransomware actor on the planet gets access to an AI that can find and weaponize zero-days. Automatically. Cheaply. At scale.

Mythos scored 93.9% on SWE-bench Verified — the hardest real-world coding benchmark. The previous best was 80.8%, set two months ago by Claude Opus 4.6. A 13-point jump in 60 days.
It is also worth noting what Anthropic said about how it got these capabilities.

"We did not explicitly train Mythos Preview to have these capabilities. Rather, they emerged as a downstream consequence of general improvements in code, reasoning, and autonomy."

Nobody built a cyberweapon. They just built a smarter AI.
And the cyberweapon appeared on its own.
The AI arms race just entered a phase where the most powerful tools are no longer being released publicly. They are being distributed to a coalition of corporations, in secret, with a timer running.
And somewhere out there, other labs are building the same thing.

Source: Anthropic · TechCrunch · Fortune · Euronews

[Akash @heyakash_ai]

BREAKING: Don't copy and paste answers from ChatGPT.

ChatGPT writing is easily detectable.

Use these prompts instead and see the magic:

[Altcoin Daily @AltcoinDaily]

BULLISH: JPMorgan says crypto tokenized RWA market could grow to $13 trillion by 2030.

[DRB @DeeRealBen]

RWA tokenization Is still one of the best real world application of the Blockchain Technology.

[Harry Oldfield @harry_oldfield]

Exciting times - been doing a lot of research on blockchain with my current studies in supply chain blockchain tech will be a real game-changer is supply chains.
Blockchain delivers immutable transparency + end-to-end traceability for goods, while RWA tokenization turns inventory, invoices, and commodities into programmable digital assets.

Result? Faster financing, reduced fraud, real-time ESG tracking, and instant liquidity via DeFi.

This bridges physical trade with on-chain value.
Some great reading on exactly this below:

EY – “Operationalizing real-world assets for supply chain excellence”
https://t.co/NrwiYRyEUp

Another solid one:

“Is the Supply Chain Ready for Real-World Asset Tokenization?”
https://t.co/8vO41ufDD4

[Toby Cunningham @sircryptotips]

The US PRESIDENT just casually announced the destruction of an entire civilization.

Meanwhile millions of innocent Iranians are sitting in the dark wondering if tonight is the night their world ends.

The military industrial complex doesn't do regime changes for freedom. They do it for contracts. They do it for oil. They do it because WAR IS A BUSINESS and business is booming.

To Trump, millions of innocent deaths is just a game. This is SATANIC.

Pray for the civilians. They didn't choose this. They never do.

[DRB @DeeRealBen]

Kimi does PPT now

[Yasir Ai @AiwithYasir]

AI just killed the $200/hr PowerPoint designers.

Kimi Slides turns messy notes into McKinsey-level decks in 5 minutes.

Here are 10 prompts that replace $5000 consulting decks👇:

(Save for later)