Junior

I started this back in 2014 as The Billionaire Playbook I originally posted advice from billionaires, I was probably the first account to do it It blew up, made money, I quit my job, here we are

@RoundtableSpace That’s super clever, also has built in virality

PUSH UP ARENA TURNS REPS INTO BOSS FIGHTS FOR IOS

@AdrianDittmann Yeah ive been researching data center sales lol

@jackmoses777 Bro i frequently argue with a trillion parameter robot that knows literally everything in the world Thats cute but lets be real lol

The issue with using AI to help “structure your thinking” is that you’re getting the hardest part of business/writing/strategy done for you: Critical thinking. It’s like letting the treadmill run for the last 2km of a 5k while you stand on the side and watch it - and then going and showing the internet you ran a 5k. The final 2km are the hardest part. They’re where 90% of all gains and improvements are made. And in a writing or business sense, the final stretch of an article, copy for a website, or strategy for a launch are where 90% of gains in understanding are made. Sure, AI may help with speed of execution and do the more challenging parts of the task for you. But you have to ask yourself: What’s the cost? There are no shortcuts in reality. And finishing a piece of writing by having AI piece scattered thinking together for you is done at the cost of genuine understanding.

@Synnoia @reed_barnes “I’m going to be straight with you”

@reed_barnes Sounds like Claude is about to level with you.

how you know claude's about to give you some absolute bullshit

@reed_barnes Soon as things get load bearing 😂

@BullTheoryio In 24 months the entire industry will be open source models running on mesh networks

THIS IS ABSOLUTELY INSANE. A company's AI bill jumped 700% in a single day because Anthropic changed how it charged for AI usage. Workato had been paying one flat monthly fee to use Anthropic's AI. In May, Anthropic moved them to pay per token pricing, where every single prompt costs real money. The bill went up 7 times overnight. Its own CIO said AI companies had been subsidizing usage for years just to get everyone hooked, and the moment that stopped, the real cost hit all at once. This is happening everywhere right now, not just at one company. Amazon, Walmart, Cisco, Uber, and Meta are all now capping how much AI their own employees can use. These are the exact companies that spent the last two years forcing AI onto every employee as fast as possible. Uber burned through its entire 2026 AI budget by April and now caps employees at $1,500 a month. Amazon told staff to stop using AI "just for the sake of using it" after engineers were caught running agents just to climb internal leaderboards. JPMorgan published an internal note this month titled "AI Bills Are Out of Control." Some JPMorgan employees are reportedly spending more on AI every month than their own salary. Here is why this is not just a cost story inside a few companies. It is a direct threat to two trillion-dollar IPOs. OpenAI and Anthropic both filed confidentially for IPOs this month, both targeting valuations near $850 billion or higher, and neither company is profitable. OpenAI reportedly loses $1.22 for every dollar of revenue it makes. OpenAI's losses tell the same story from a different angle. In 2024, OpenAI lost $5.09 billion. In 2025, that loss grew to $38.5 billion, nearly 8 times higher in a single year. Costs are growing faster than revenue at exactly the moment OpenAI needs Wall Street to believe the opposite is happening. Their entire pitch to public investors is that enterprise spending keeps climbing. The exact backlash forcing Amazon and Uber to cut back is happening at the precise moment both companies need Wall Street to believe the opposite. OpenAI already sees the danger. The Wall Street Journal reported this week that OpenAI is weighing steep token price cuts specifically to stop losing customers to Anthropic, whose Claude Code product helped its revenue jump from $9 billion to $47 billion annualized in five months. But cutting prices only works until someone undercuts you. Artificial Analysis benchmarked every major AI model on identical tasks and tracked the total cost. Anthropic's flagship model cost $4,811 to run the full test. OpenAI's cost $3,357. China's DeepSeek cost $1,071. Another Chinese model, Kimi, cost $948. China is not trying to match American AI on quality. It is making premium priced AI look completely unnecessary. Bain surveyed nearly 1,000 companies on AI returns. 40% said their actual cost savings came in below 10%, despite everything they spent. One investor told Axios that a CFO accidentally spent half a billion dollars on Claude in a single month before anyone even noticed. OpenAI and Anthropic are about to ask public markets to value them like the future of software itself. Their own biggest customers are proving in real time that they will not pay whatever it costs to get there.

@CaptainCKeth Were cooked

Wtf

AI is writing code now… But do you actually understand what it writes?

@TTrimoreau What makes someone pay $50k for a Rolex when replicas go for $100 online?

If AI makes building easy for everyone. What makes one startup win?

@thenowhereway Start a YouTube Have AI write a script that clips my YouTube videos Use buffer API to distribute the clips across IG, tiktok and fb Post on linkedin and x to build a network Probably get a BS job to pay the bills while that system grows

You're starting from zero. No audience. No money. No network. What's the first thing you do?

@crof7y @Polymarket Idk nothing about any Australians

@itstheinfamous @Polymarket Saying this while posting an Austrian is objectively hilarious

JUST IN: Trump administration to ease restrictions on testosterone therapy.

@dani_avila7 This json guy keeps butting into my conversations with claude code

Who is json? 🤔

@YourAlphaMom Freaky ahh test

New tongue-physics test for the best AI video models! Seedance 2.0, Kling 3.0 Pro, Gemini Omni Flash, and Grok Imagine 1.5 were given a task that sounds ridiculously simple for a human: Rotate the tongue in a continuous circle for 10 seconds. That’s it. Each model received exactly four attempts. Yet this tiny movement turned into an unexpectedly brutal test of instruction following, anatomy, motion consistency, and basic physical control. And the result will probably surprise a lot of AI video creators. Spoiler: Seedance 2.0 completely failed to live up to its reputation this time. - Kling 3.0 Pro: The old man somehow managed to detect a policy violation in one attempt, although the other three generations went through without any problems. Unfortunately, the result was still the worst of the four. Kling failed the main instruction every single time: the tongue never actually rotated in a circle. It moved sideways, twisted, stretched, and performed all kinds of strange anatomical experiments, but it never completed the requested motion. The image itself looked reasonably realistic, but visual quality was almost irrelevant here. The movement was unnatural, inconsistent, and completely missed the task. Everything that could go wrong did. - Grok Imagine 1.5: This was an unexpectedly good result. The image still has Grok’s usual slightly cartoonish appearance, but its instruction following was surprisingly strong. The tongue actually rotated. Not perfectly, not with completely realistic anatomy, and not always through a clean full circle, but Grok understood what it was supposed to do and made a genuine attempt to execute it. Considering its performance in several previous tests, this was a very pleasant surprise. - Gemini Omni Flash: The only model that handled the task convincingly. Omni understood the instruction, produced a realistic-looking image, and generated an actual circular tongue movement. It still isn’t perfect, and the motion does not yet look 100% like something a real person would perform. But compared with the other models, this was easily the cleanest, most controlled, and most believable result. A genuinely strong performance. Google finally found a very specific battlefield where Omni Flash can flex. - Seedance 2.0: This was the biggest disappointment. The result was better than Kling’s, but Seedance still failed to perform the requested circular movement. Seedance remains excellent at large action scenes, complex choreography, and cinematic motion. But in these simple human-body tests, including running and now tongue control, it keeps exposing unexpected weaknesses. The movement looked more polished than Kling’s, but the core instruction was still not followed. And for the first time in one of my tests, Seedance finishes below Grok. - My ranking: 1. Gemini Omni Flash. The best instruction following, the cleanest circular motion, and the most realistic overall result. 2. Grok Imagine 1.5. Not perfect, but it understood the assignment and produced a surprisingly decent attempt. 3. Seedance 2.0. More polished than Kling, but clearly behind Grok and Omni in actual task execution. 4. Kling 3.0 Pro. Censorship, broken anatomy, and almost every possible tongue movement except the one I requested. What do you think of this test? Do you agree with my ranking? #AIVideo

@DanielSmidstrup Thats wild, congrats

First X payout: $828.77 🤯🤯 Took me 81 days to get here from never using X before.

The fact that linkedin gives you this data when you post content there is WILD

@TheAhmadOsman Thats why most people are trying to do everything and accomplishing nothing

The opportunity cost of doing the wrong thing is too high right now Never been higher actually

@suraj_sharma14 It’s not that I’ve automated anything in particular I’m non technical but I have Hermes running on a VPS with an enterprise suite worth of open source software on it and I can literally deploy anything from my telegram chat right now

For people running OpenClaw, Hermes, Claude Code workflows etc. What's the most valuable thing you've automated so far?

@milesdeutscher The frontier is going to hit a hardware limitation soon Open source is going to run away with it

It's insane to think that in another ~6 months, we'll likely have Fable-level intelligence in open-sourced models. Open-source AI is now 4 months behind frontier LLMs. Two years ago, it was 12. At this pace, Fable-level intelligence will be free to download by end of year.

@WhitehallHQ @Yofinks “I want to be straight with you” Something something “load bearing” Something something “doing real work”

@Yofinks It’s also the most arrogant prick of a model I’ve worked with. Would fight him irl if possible

Claude fucking sucks now.