I think this will flop. Even amazing halo car EVs have poor resale value, and this one isn't it. It will not keep value like an analog Ferrari, but may be better than Rimac because it's a Ferrari and if they limit supply.
I'm all for EVs by the way, I drive a Model 3 Performance and I love it. Just not feeling this design at all.
I haven't worked in corporate since last year but I keep seeing people complaining that "bosses" are forcing workers to use AI now. I find this so amusing because in 2023-2024 I had to fight to either be allowed to use AI at work (even just MSFT Copilot chatbot) or get a ChatGPT Enterprise license.
It was mismanagement then and it's mismanagement now, the more things change the more they stay the same.
I'm working on https://vtxmacro.com, a free and fully autonomous LLM trading platform. Basically have any model you want trade for you. Right now I support ~860 models across 16 providers (including OpenRouter), plus Local AI and OpenAI Compatible endpoints.
The bot settings (system prompt and user prompt, temperature, reasoning, etc.) are 100% transparent and customizable, and all users can view and copy anyone else's settings from the leaderboard. The goal is to build the best trading bots possible by seeing what works.
You can run a bot on Gemini 4 31B with a free tier Google AI Studio account (I'm running 5 bots on it myself). Or just run Gemma 4 26B on your PC if you have the GPU for it. I'm running 5 on my 5090, so I'm trading with 10 bots total.
The platform is connected to Hyperliquid and you can trace all the trades on the blockchain from the user's Analytics page (always public).
The way it works is you set a loop interval (default 1 minute) and the model receives the candles, market stats, indicators, account balance, current positions and so on and decides Buy, Sell, or Hold and how many units.
It's still experimental but I have already processed 1m+ prompts, 10k+ trades, and almost $1m in volume since January 2026. I have around 15 bots running right now, you can check their PnL on the leaderboard (public). I've made a lot of changes in the last few weeks so most recent either 24h or 7d results are the most relevant. The model you use is super important (Gemma 4 31B so far is the best value I found, better than Gemini 3 Flash and you can run it for free) and also the coin you choose is important too. Preferably, you want something that's trending. My friend's bot did well with ZEC and VVV this week.
Right now I'm working on improving reliability (I bought a Japanese VPS to run my own HL node), and this weekend I moved the app from Render to my own DC VPS for 10x+ cheaper and 1000x more bandwidth (25 TB instead of 25 GB, seriously if you're using Render and want cheaper infra look into buying your own VPS).
I'm also implementing CLI/MCP for OpenClaw support. And next is an automatic screener that will use LLMs to pick the most promising cryptos to trade (since I noticed this has a huge effect on PnL).
If you have questions, let me know, the Trade page has my Telegram group link.
You can check in detail on the leaderboard, but I suggest you look at the last 24h to 7 days.
We've been playing with different settings and models since January, older wallets have had some bleed with Gemini 3 Flash and bot settings that didn't perform well.
We've been running bots exclusively on Gemma 4 31B and 26B for the last 7-10 days and they've been either breaking even or trading very well, it really depends on the coin. I think around 10-30% gain for the good cases for the week.
It's still experimental, I only put $100 into each bot (and that's what I recommend to my users) so it's not crazy money, but once we're comfortable we'll put more money into it.
You can use it for free with Google AI studio (free tier or paid tier accounts with different limits). Or use the paid version from Vertex AI which is around 3x cheaper than Gemini 3 Flash.
I'm using Gemma 4 31B in my app with 5 agents, 1.5k requests per day, each.
You can use it for free, forever, if you just run the bot in your browser (client mode). Server mode is premium, but you don't need it to run the bots.
So, silicon valley decides to use their playbook of expand at all costs by burning money to acquire the market (like a carcinoma), and it is the users fault ?
Should we be blamed about uber destroying the taxi business, or airbnb the hotel one? Oh sorry, "disrupting".
Uber was dirt cheap, now it is the same price as taxis, and the people working for it (the "partners", not employees) have no social benefits.
Airbnb was cheap and humane, now it is THE cause for housing crises and massive residential property "investment".
The playbook of silicon valley is destructive, not disruptive.
It is by design aimed towards wealth accumulation. The ones with most money can capture the market, and make even more. It really is late stage capitalism.
And the more wealth inequality there is, the more pain, poverty and instability will be as well. AI will only exacerbate this.
Was the business model of Uber ever a secret? What about AirBnb?
Even if we argue that we can't require from every human being to understand what they're doing, I'd still argue that there are more people who perfectly understand it and don't care than people who have no idea how such a business operates.
> You cannot expect every consumer to be fully educated and aware of the consequences of their purchasing power.
Huh? I cannot expect that people understand consequences of their actions? What are we, animals? Of course sometimes things aren't simple, and we cannot predict that using some service will create some longterm effects that in the end will be harmful. Some things are hard to predict.
But some things are easy to predict and my point is that this was exactly this case.
I mean, now we all know what Uber and AirBnb did, and we still use them because we don't care (generally speaking, I've used uber maybe 3 times in my life, AirBnb never).
No, we are not animals. But life has become so increasingly complex that is infeasible for the average person to be that invested in everything in order to have an educated opinion.
I do NOT want to have to research the business model of companies before I buy their products or services. I would like to outsource that to the government, and spend my time actually enjoying life.
Am I supposed to be invested in every change that happens around me ?
What if I am a baker, using chatGPT to experiment with recipes and develop them. Am I supposed to read about LLMs, tokens, and the silicon valley playbook ?
If you think you should not do these things, then you're a part of the problem.
If a company will advertise that they can take your oil and "dispose it legally", and then on their website they will openly write that they've found a loophole allowing them to store oil on the bottom of the ocean, then you say it's morally OK to use their services because it's legal?
If todays legislations are cargo and are being bought and sold based on the number of hired lobbyists, then you say it's OK to base our moral compas on that?
If you're a baker then you need to figure out how LLMs work at least to a level so that you could say that you've tried to figure it out, just as when I'm a software developer and I need to figure out how kidney stones work, because it might be in my own personal interest to know this.
Same thing is when buying stuff from Chinese vendors that ship cheap stuff to every corner of the world. You can buy their cheap products using your blind excuses, but then don't blame your local markets that for some unknown and unpredictable reason they closed operation.
We have brains for a reason, and we need to use this organ to fight our way through the complexity. This is the tax every one of us has to pay for being human and to live in a human world. If you want to have a brain, but decide not to use it, then I think you're just being lazy and entitled.
Sure, enshitification is my fault because I do not read the fine print, or research business models before I buy stuff.
I am not saying that the consumer has no ethical responsibilities, I am saying that is infeasible for the average consumer to do so.
> If you're a baker then you need to figure out how LLMs work
I completely disagree. I should not have to research about which types of grain are destructive to the farming industry before buying bread.
> If you want to have a brain, but decide not to use it, then I think you're just being lazy and entitled.
I have the right to choose where I spend my brain power on, and there are much, much more interesting and gratifying things to me than trying to analyse the behaviours of megacorps in order to have a fully educated decision in everything, in the this hyper complex and hyperconnected world we live in.
We disagree completely, no reason to keep repeating the same arguments. Have a nice day and enjoy reading the fine print in everything you buy, if it makes you feel better.
> Sure, enshitification is my fault because I do not read the fine print, or research business models before I buy stuff.
Kind of yes. You use it, you buy it. You create demand. And if there's demand, there's supply, economics 1-2-3. You vote "YES" with your wallet.
I read the fine print, and this allows me to NOT use Opus x30 only because it's available. I choose to not use AirBnb. I send a signal that this supply is not in demand.
And I guess because people like me read fine prints, you can feel better as well, because if something big will come up, you will hear internet rants about it, because we analyze and resist.
It sounds like you think you are saving the world one purchase at a time. Sure thing haha. And with the 5 people that read your rants, it is enough for a megacorp with millions of users to go bankrupt. Sure. Keep saving the world for us, thank you
It was going to happen regardless due to the nature of enshittification. If they really wanted to stop people using 100M tokens a day, they could've prevented it years ago.
Yeah it was crazy. Nowadays I use pi with OpenAI GPT 5.4/5.5, which to me seems both better and more generous than Claude. I supplement it with OpenCode Zen to get access to a bunch of models at token cost, and OpenCode Go ($10/mo) to get subscription-style access to Kimi, GLM and friends.
AI is an accelerant, not a replacement for skill. At least, not yet.
I built a full stack app in Python+typescript where AI agents process 10k+ near-real-time decisions and executions per day.
I have never done full stack development and I would not have been able to do it without GitHub Copilot, but I have worked in IT (data) for 15 years including 6 in leadership. I have built many systems and teams from scratch, set up processes to ensure accuracy and minimize mistakes, and so on.
I have learned a ton about full stack development by asking the coding agent questions about the app, bouncing ideas off of it, planning together, and so on.
So yes, you need to have an idea of what you're doing if you want to build anything bigger than a cheap one shot throwaway project that sort of works, but brings no value and nobody is actually gonna use.
This is how it is right now, but at the same time AI coding agents have come an incredibly long way since 2022! I do think they will improve but it can't exactly know what you want to build. It's making an educated guess. An approximation of what you're asking it to do. You ask the same thing twice and it will have two slightly different results (assuming it's a big one shot).
This is the fundamental reality of LLMs, sort of like having a human walking (where we were before AI), a human using a car to get to places (where we are now) and FSD (this is future, look how long this took compared to the first cars).
If you need to use C# in Excel, you're doing it wrong. There's very little programming that you should be doing with VBA, too.
Most of your programming should be DAX plus a bit of worksheet functions. Some SQL to filter your data before loading into Power Pivot.
SQL yes, of course. You run SQL queries to load data into Power Pivot through a native SQL Server driver or native drivers for your DB or worst case ODBC.
Then you do all the BI analytics in DAX and show results in pivot tables. DAX is a very fast, concise and very, very powerful language for analytics. This is the whole purpose of OLAP.
I think this will flop. Even amazing halo car EVs have poor resale value, and this one isn't it. It will not keep value like an analog Ferrari, but may be better than Rimac because it's a Ferrari and if they limit supply.
I'm all for EVs by the way, I drive a Model 3 Performance and I love it. Just not feeling this design at all.