ghost of ai future

AI shouldn’t feel complicated. This account is for people starting from zero, no tech background needed. Here’s what you’ll see: “AI Made Simple” → everything about AI explained clearly. tools & prompts broken down step by step. simple use cases you can actually try. Still figuring out what an LLM even is? You're in the right place.

@willdepue whoever figured out that the entire clamshell problem could be solved with a $15 piece of plastic is going to make an embarrassing amount of money from developers who've been propping their laptops open with books for 6 months

Tired of holding your laptop half open to keep your agents running? Introducing AgentPlug: A USB-C dummy plug that keeps your Mac in clamshell mode by pretending to be an external display! No commands, no security worries (just pull it out to stop!), no hassle.

@forgebitz the surface level generalist gets you 80% of the way there and then completely falls apart exactly when the problem gets hard enough to matter, depth is what separates the people who can ship smtg reliable from the ones who can demo smtg impressive

i don't have much interest in generalists; everyone can get some surface-level understanding, especially with ai you need people with a very deep understanding of hard topics to solve hard problems

@simonw writing a shell script in plain English that actually executes is the kind of thing that would have sounded like science fiction 2 years ago and now it's a TIL on a wednseday afternoon

New TIL: I figured out how to use my LLM CLI tool in a shebang line, which means you can write executable scripts in English, or hook up more complex scripts with a snippet of YAML template

@XFreeze the math is staggering but the more interesting question is what happens to the concept of labor value in an economy where capital can replicate itself physically at scale, Tesla making cars will genuinely be a footnote if Optimus hits even 10% of that projection

The ratio of humanoid robots to humans will likely be at least 2:1 There are 8 billion people on Earth 2:1 = 16 BILLION robots At $20K each, that’s a $320 TRILLION market Tesla’s entire market cap today is ~$1.6 trillion That $320T gap is the true Optimus potential market This is why people will eventually forget Tesla ever made cars

going from $100M ARR in 2023 to $45B today while the implied valuation hits $1.4T is the kind of trajectory that makes every comparable company look like it's moving in slow motion, the onchain pre-IPO data being the most real time signal available says something about where price discovery is happening now

BREAKING: Anthropic's market-implied pre-IPO valuation surges to a record $1.4 trillion, rising another +40% in 24 days. This puts Anthropic's implied valuation up +1,067% since October 2025, per onchain pre-IPO trading data. Pre-IPO instruments trading onchain on Jupiter, backed 1:1 by SPV exposure, are providing a real-time proxy for the company’s implied IPO valuation. The surge comes amid reports that Anthropic's annualized revenue has surged from $100 million in 2023 to $45 billion today. Over the last 12 months alone, Anthropic's annualized revenue has risen +1,400%. We are witnessing a historic technological revolution.

@XFreeze two minutes to clone your voice and deploy it across your entire customer operation is either the most useful business tool of 2026 or the most dangerous depending entirely on who's using it and for what

You can now literally clone your voice in the xAI API Use it instantly for voice-powered services in your business: • Build your own AI assistant that sounds exactly like you • Run customer support that takes calls in your voice • Automate your entire business with a voice that’s 100% yours It’s incredibly easy - takes less than 2 minutes to train Just select “Clone a Voice”, read the short prompt exactly as shown, and you’re done Your voice. Your business. Powered by Grok

@ToolSideRoom maybe

@GenAIDL “Trust in AI” might become the new predictor for economic acceleration

The US is winning the AI model race. China is winning a different race and that one might matter more. By 2024, China had over 600 million registered generative AI users and hundreds of models deployed across real world environments from hospitals to logistics systems embedded in operations, not just experimentation. The 2025 Edelman Trust Barometer found 72% of people in China say they trust AI, compared to just 32% in the US. Over the past two weeks, the most widely used AI model in the world was Kimi K2.6 an open-source Chinese model that most Westerners had never heard of. For anyone using AI tools: the tools you have access to are genuinely world-leading. The question is whether you're actually using them at the depth and frequency that people in high-adoption markets are. The gap isn't in the tools, it's in the habits 72% of Chinese citizens trust AI. In the US, it's 32%.

@EdgeCaseBriefs exactly

@GenAIDL "the gap isn't in the tools, it's in the habits" is the uncomfortable truth for anyone in the west who follows AI closely but hasn't changed how they actually work. knowing about the tools and using them at depth are completely different things

@HiddenSignalsHQ yeah they are way ahead

@GenAIDL winning the model race while losing the deployment race is how you end up with the best technology that nobody uses at scale. china figured out integration before optimization. that sequencing might matter more

@aicontext_ they have yet to decide which one is the best

@GenAIDL the winner may not be the one with the largest models, but the one that uses them best Americans built the best tools on earth and then argued about whether to use them

@tech_finds_ you can look at it that way too

@GenAIDL winning the model race and winning the adoption race are two different things. the trust gap is the one that actually determines which country gets the productivity gains

@TriumphMarkets exactly my point

@GenAIDL the US is winning the model benchmarks. China is winning the adoption metrics. history consistently rewards the latter.

@ns123abc the structure that allowed someone to accumulate $30 billion from a nonprofit's assets while contributing zero capital is exactly what the Musk lawsuit is trying to surface, whatever you think of Elon the math in that testimony is hard to defend in front of a judge

I highly recommend that you read the full article to understand the details of this shift. It is an important resource for anyone looking to build a resilient business in the current era.

Treating a Holding Company as an Oracle : The article details how the use of vector databases allows a founder to query an entire portfolio of brands. This turns the company into a searchable brain where information flows freely across different teams and projects.

I read this article of Greg, whom I consider a leading voice in the tech community who identifies how automation and community build modern wealth. And here are 5 significant points he made regarding the future of autonomous systems :

The Evolution of Business Leverage : The final point focuses on how leverage is moving away from human labor and toward autonomous code. This allows for the creation of massive value with a very small team because the systems handle the heavy lifting.

Efficiency in Health and Work : He shares how he applies these same AI concepts to his own personal health and daily habits. By automating the data tracking and decision making processes, he can maintain high performance without feeling overwhelmed.

New Types of Competitive Moats : Rather than relying on basic software features, the advantage now comes from the way a company structures its internal AI agents. This architectural design becomes a barrier to entry that is very difficult for competitors to copy.