Dylan

Building real AI agents daily | OpenClaw experiments, no-hype breakdowns & wild finds

[Dylan @_dylanmind]

https://t.co/sXKydEXtOR

[Dylan @_dylanmind]

The brutal reality of the AI gold rush right now:

Big Tech has spent a combined $1.4 Trillion on AI… but the entire industry has only generated $613B in revenue so far.
+ Amazon: spent $313B → made $22B
+ Google: spent $287B → made $25B
+ Microsoft: spent $266B → made $31B
+ Meta: spent $230B → still very little AI revenue

Almost everyone is bleeding cash to build infrastructure as fast as possible.

The only clear winner? NVIDIA, sitting on ~$478B AI revenue and over $250B in cumulative profit.

Everyone else is still in heavy investment mode.

The AI infrastructure layer is printing money, while most application & model layers are still deep in the “spend now, profit later” phase.

This divide is becoming clearer every quarter

[Dylan @_dylanmind]

Microsoft just dropped Scout: a real AI executive assistant that lives directly inside your email and calendar.

It doesn’t just reply to messages. It acts like an actual chief of staff: manages your schedule, drafts emails, makes decisions, and shows up exactly where you need it.

We’ve officially gone from “AI helps you work” to “AI works like a real employee beside you.”

The agent layer is no longer experimental. It’s entering the workplace.

This is actually huge fr

[Dylan @_dylanmind]

Bernie Sanders just dropped a nuke:

He’s proposing that companies like OpenAI, Anthropic, and xAI should hand over 50% of their equity to a federally managed public fund.

Basically saying the American people should own half of the frontier AI labs.

Whether you see this as visionary wealth redistribution or government overreach on steroids, one thing is undeniable:

The AI era is forcing society to have very serious conversations about ownership, power, and economic structure much faster than anyone expected.

This is going to be a wild debate

[Dylan @_dylanmind]

Google DeepMind, Anthropic, and Meta are now seriously researching whether AI can become conscious.

We’ve officially moved from “make AI smarter” to “can AI actually wake up and know it exists?”

This isn’t sci-fi anymore. Some of the biggest AI labs in the world are actively exploring machine consciousness.

The day we have to ask “Is this AI sentient?” is coming faster than most people realize.

Mind-blowing stuff

[Dylan @_dylanmind]

SoftBank just dropped a monster move: $87 billion (75 billion euros) into AI data centers across France.

This is reportedly the largest single AI infrastructure investment ever announced in Europe.

The plan includes up to 5 gigawatts of compute power, with the first phase already at 45 billion euros focused on major sites in northern France.

Europe is no longer sitting on the sidelines. The global compute war just got significantly bigger.

This is the kind of scale we’ll need if the agent economy predictions are even half right

[Dylan @_dylanmind]

A developer just deleted 3 months of AI-generated code because he realized he didn’t actually understand his own project.

He shipped fast, felt super productive, everything looked clean… until he had to add one real feature and couldn’t trace the logic.

This is the silent trap of over-relying on AI.

Speed is addictive, but real ownership and deep system understanding still can’t be fully outsourced.

The best builders will use AI as a 10x multiplier, not a replacement for thinking.

[Dylan @_dylanmind]

OpenAI and Anthropic are pouring billions into enterprise partnerships and forward-deployed infrastructure plays. The model layer is getting crowded and they know it.

Morgan Stanley charted the same pattern during mobile internet. Semis ran first. Infra and devices followed. Then software and services dominated for years and made every earlier wave look small.

We're in the infra phase of AI right now. The labs are locking up enterprise distribution before the application layer runs because whoever owns the distribution channel into enterprise owns the moat, not whoever has the best model.

The uncomfortable read for builders: the labs going upstream into enterprise accounts aren't just your API provider anymore. In some verticals, they're going to be your competitor.

[Dylan @_dylanmind]

@originaestudio_ no way they can make a profit with this price

[Dylan @_dylanmind]

The AI price war is getting absolutely brutal.

Xiaomi just cut MiMo V2.5 Pro prices by 99%. DeepSeek made V4 Pro permanently cheaper too.

Chinese labs are basically giving away high-level intelligence at this point.

The real question isn’t how good the models are anymore, it’s how the hell are they making money at these prices?

This price war is wild.

[Dylan @_dylanmind]

@metadeal_ai take market share first

[Claude @claudeai]

Introducing Claude Opus 4.8: it builds on Opus 4.7 with sharper judgment, more honesty about its own progress, and the ability to work independently for longer than its predecessors.

Available today at the same price.

[Dylan @_dylanmind]

A top UK law firm, Pinsent Masons, was publicly reprimanded by London’s High Court after submitting AI-generated content containing inaccuracies without any human verification.

Lawyers literally took AI output, hallucinated facts and all, and presented it directly to a judge.

This is exactly why “AI is just a tool” narrative exists. Powerful, but still needs serious human oversight.

The legal industry is learning the hard way that blindly trusting AI can get expensive real quick.

[OpenRouter @OpenRouter]

Today we’re announcing our $113M Series B led by @CapitalGVC.

Over the last 6 months, weekly volume on OpenRouter grew from 5T to 25T tokens as AI rapidly shifts from experimentation into production.

We’re excited for what comes next.

[Dylan @_dylanmind]

@adelbucetta absolutely human to define problem and AI to run the calculation era

[Dylan @_dylanmind]

Google DeepMind’s AI agent just autonomously solved 9 Erdős problems including two that had remained unsolved for 56 years.

Out of 353 of the hardest open problems in mathematics.

This isn’t just “AI is getting better at math”, AI starting to push the boundaries of human mathematical knowledge on its own.

[Dylan @_dylanmind]

Goldman Sachs is predicting AI agents will consume 120 quadrillion tokens per month by 2030. That's a 24x increase from today.

Let that sink in for a second.

We're not in "interesting tech trend" territory anymore. The compute appetite we're about to see from autonomous agents running 24/7, spinning up sub-agents, calling tools, retrying failures... it compounds in ways that are genuinely hard to model.

Token demand is about to become one of the most important numbers in tech.

[Dylan @_dylanmind]

Standard Chartered is cutting 8,000 jobs because AI is getting too good.

They literally said they’re replacing “lower-value human capital” for “sustainable growth”.

This is the new normal.

2026-2027 is gonna be brutal. Companies aren’t just adopting AI anymore, they’re choosing it over humans at scale.

The great replacement arc is accelerating

[Dylan @_dylanmind]

@ndormuuae me too!

[Dylan @_dylanmind]

Apple is finally going all-in on AI for iOS 27.

They’re cooking:
- AI writing tools
- System-wide intelligent shortcuts
- Custom AI wallpaper generation

The iPhone is about to become way more agentic.

Slow and steady, but they’re moving. 2027 is gonna feel different

[Dylan @_dylanmind]

@originaestudio_ More scrutiny for sure

[Dylan @_dylanmind]

Anthropic out here briefing the G20 about how their own Claude Mythos AI is exposing massive cyber vulnerabilities in financial systems

AI summer hitting different

now even governments are scared