I have the pro account for ChatGPT, Claude, Gemini, and Grok.
They all have various strengths and weaknesses. My favorite is still ChatGPT, then Gemini/Claude, then Grok.
Grok often feels 1-2 generations behind the competition in general use, but it has three things that I love:
1. It seems to be the best at understanding current events. Maybe due to X integration, or some other tool call optimization in the backend? I don't know, but I often ask about things going on, and the other models have outdated info, give unhelpful answers, etc.
2. It is generally the least sycophantic for personal things. Anthropic is getting here too. ChatGPT and Gemini are working on this, but previous models in those families would almost never say anything negative about what I am doing. Sometimes I need career advice, personal advice, etc and I like the tone of how it responds. I think Claude will be caught up soon.
3. For professional work, there are certain topics that other models would refuse to engage with. At my last company we had an enormous amount of legal users. When a deposition would need a summary on certain topics, most models would refuse. Grok would not. I understand the need for safety and I don't blame the other model providers, but for some professional use cases you NEED a model that is capable of handling sensitive subjects.
The only mistake he made was not buying Tesla around the M3 launch. Elon was desperate and would have sold it to him for cheap. He didn't take the meeting.
Otherwise I completely agree, once Tesla reached takeoff, it's too hard for anyone else to do it without burning mountains worth of cash.
I will say this in the most charitable terms I can. Microsoft simply does not have it in their culture to compete with something like this. Their prime days are over. They are slowly becoming IBM.
They were completely correct to not compete in foundation models. They would have no chance. I mean, they can't even make a decent app or harness to use the other models!
None of them do it well from our experience. We had to write our own custom pipeline with a mixture of legacy CV approaches to handle this (AI contract analysis). We constantly benchmark every new multimodal and VLM model that comes out and are consistently disappointed.
Company description: We do construction compliance AI. We're in series B, about $40m raised. Growing a lot! Feel free to reply or DM me if you want some more info.
Tech Stack: Typescript full stack except for Python for ML, NestJS backend, NextJS frontend, React Native mobile, IaC in Pulumi using TS.
Open Jobs:
- Senior/Staff/Principal Frontend Engineer (fullstack Typescript nice to have)
- Senior/Staff/Principal Node Engineer (fullstack Typescript nice to have)
- Senior/Staff/Principal QA Engineer
Location: Austin or Texas preferred, but open to remote for the right candidate in the US.
I used to work in ASR. Due to the nature of current multimodal architectures, it is unlikely we'll ever see accurate timestamps over a longer horizon. You're better off using encoder-decoder ASR architectures, then using traditional diarization using embedding clustering, then using a multimodal model to refine it, then use a forced alignment technique (maybe even something pre-NN) to get proper timestamps and reconciling it at the end.
These things are getting really good at just regular transcription (as long as you don't care about verbatimicity), but every additional dimension you add (timestamps, speaker assignment, etc) will make the others worse. These work much better as independent processes that then get reconciled and refined by a multimodal LLM.
Two PMs left a company with 125,665 employees. Yes, they are very important, but this happens every day at companies all around the world. Could be burnout, they are rich, got better offers, anything really.
People are so desperate for Tesla to fail they will latch onto anything.
> I wish .NET was more popular among startups, if only C# could get rid of the "enterpisey" stigma.
Too hard to ignore the benefits of cross-stack gains in Typescript/Python. The C# native phone, Blazor, etc just isn't quite there yet. Tried it at the last company, and full stack TS was just so much easier to do.
The reality is that the vast majority of startups don't make it. The #1 thing startups should be focusing on is hiring the right people and product velocity. TS just makes that easier in my experience.
Company description: We do construction compliance AI. We're in series B, about $40m raised. Growing a lot! Feel free to reply or DM me if you want some more info.
Tech Stack: Typescript full stack except for Python for ML, NestJS backend, NextJS frontend, React Native mobile, IaC in Pulumi using TS.
Open Jobs:
- Senior Frontend Engineer (fullstack Typescript nice to have)
- Staff Analytics Engineer
- Senior Product Designer
Location: Austin or Texas preferred, but open to remote for the right candidate in the US.
This is kind of a wild story. Sam Altman is openly flexing that he was able to skirt the rules and regulations by threatening economic damage to California. It's not even subtle anymore.
This reminds me of when the former CEO of Hyundai, Chung Mong-koo, went to prison for embezzlement. In just 3 years he was pardoned because the President of South Korea basically said, "we need you for the economy."
We're not even pretending that the government is in control anymore. It's just full on anarcho-capitalism on display.
I have the Xbox Ally, Steam Deck, and original Ally.
The original Ally software launch was a disaster. Unbelievable amount of bugs and overall terrible user experience. After 6+ months of updates it was decent.
I figured, hey, maybe they figured it out in advance this time? So I pre-ordered an Xbox Ally.
It is a complete disaster in terms of software. It took 90 minutes to setup and download initial updates on a Google Fiber connection. Things break constantly.
The other day, I got a new error, "Something went wrong and your PIN isn't available." When I try to click anything, it just goes black. After 6 or 7 restarts, it randomly glitches out and takes me right to desktop without any PIN.
It is just constant bullshit like this. The entire experience breaks over, and over, and over. I hate it so much. Back to Steam Deck.
People are usually not querying across 5 million documents in a single scope.
If you want something as simple as "suggest similar tweets" or something across millions of things then embeddings still work.
But if you want something like "compare the documents across these three projects" then you would use full text metadata extraction. Keywords, summaries, table of contents, etc to determine data about each document and each chunk.
Embedding based RAG will always just be OK at best. It is useful for little parts of a chain or tech demos, but in real life use it will always falter.
They all have various strengths and weaknesses. My favorite is still ChatGPT, then Gemini/Claude, then Grok.
Grok often feels 1-2 generations behind the competition in general use, but it has three things that I love:
1. It seems to be the best at understanding current events. Maybe due to X integration, or some other tool call optimization in the backend? I don't know, but I often ask about things going on, and the other models have outdated info, give unhelpful answers, etc.
2. It is generally the least sycophantic for personal things. Anthropic is getting here too. ChatGPT and Gemini are working on this, but previous models in those families would almost never say anything negative about what I am doing. Sometimes I need career advice, personal advice, etc and I like the tone of how it responds. I think Claude will be caught up soon.
3. For professional work, there are certain topics that other models would refuse to engage with. At my last company we had an enormous amount of legal users. When a deposition would need a summary on certain topics, most models would refuse. Grok would not. I understand the need for safety and I don't blame the other model providers, but for some professional use cases you NEED a model that is capable of handling sensitive subjects.