leetharris
Joined 7 years ago
Joined 7 years ago
This is going to change so many things if it starts getting adopted.
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 I don't know, but I often ask about things going on, and the other models have outdated info, give unhelpful answers, etc.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.
Otherwise I completely agree, once Tesla reached takeoff, it's too hard for anyone else to do it without burning mountains worth of cash.
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!
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.
Jobs page: https://www.documentcrunch.com/careers#open-roles
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.
People are so desperate for Tesla to fail they will latch onto anything.
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.
Jobs page: https://www.documentcrunch.com/careers#open-roles
If you compare to "smart" from a year ago, you have endless options that are basically free at this point which outperform everything from a year ago.
Deepseek Flash V4.1, Sonnet 5.5, GPT6 Luna, etc are really strong for the cost.