This is nice! I tried it for a bit and it was indeed quite fast.
Are you looking for contributors, or are you building this as a personal tool?
I ran into some issues when attempting to use different models, though: gpt-5.5 on Azure doesn't work, even with the OpenAI compatible endpoint, because "max_tokens" has been replaced with "max_completion_tokens". And it doesn't appear possible to pass through custom headers, so I wasn't able to specify reasoning_effort for deepseek models.
This was my workflow (this is repro-able 100%):
1. Take an obsidian vault (just a few folders and subfolders of markdown files)
2. Copy the entire folder (keep all of the dates with cp -a) to a new folder
3. Install Tolaria, point it to the new folder you created.
4. Open it up. This creates a git repository.
5. Click on the bottom UI to "Restore Tolaria AI Guidance." After this point, the sorting doesn't work and will continue failing. Everything says that it was created or modified recently.
Edit: I think I found the cause. When you initialize a git repository, the file modified times stay the same, but sorting by modified appears to sort by the commit date, which is now all the same for every file (since it was committed in one go)
I downloaded and am trying it out, but I'm running into a pretty annoying sorting bug that's preventing me from using it for real. I copied over files from my Obsidian vault (preserving file times), and the first time it loaded, everything seemed to work fine. After doing the first git commit, however, Tolaria cannot seem to sort properly by last modified anymore (I'm getting notes from 2023 or 2025 up at the top). The file system tree still has the correct modified and created times.
Yeah, Parakeet runs great locally on my M1 laptop (through MacWhisper). Transcription speed of recordings feel at least 10x faster than Whisper, and the accuracy is better as well. Push to talk for dictation is pretty seamless since the model is so fast. I've observed no downside to Parakeet if you're speaking English.
Does this support using the Parakeet model locally? I'm a MacWhisper user and I find that Parakeet is way better and faster than Whisper for on-device transcription. I've been using push-to-transcribe with MacWhisper through Parakeet for a while now and it's quite magical.
Yeah, that's the way that I cut onions: you make vertical cuts followed by one single horizontal cut slightly above the cutting board.
This way of calculating doesn't take into account the creative ways you can make cuts. You could also do mostly vertical slices, and then slightly angle inwards when you do the final few cuts. That would get you a more optimal distribution as well.
The attitude of the blog writer in their interactions also feels off. Just reading this blog post makes me think that this person is difficult to work with, requires extremely clear guidelines and instructions, and has a hard time making their own decisions. Maybe this is a good fit for a large, established company, but startups have their own needs.
"Create a terminal inspired email client so we can do an alpha test with some customers" is a reasonable ask for an engineer at an early stage startup. Of course, there would be a bit more specification, but a lot of the details would still be up to the engineer. This applicant wants more certainty than they can get.
This is illustrated by the line: "I would like to know what kind of response I could expect from Kagi if I drive it to completion." This is not a great request to make. There's no way they can answer that question, because there is no certainty available. They're probably getting a few hundred or a few thousand more submissions to evaluate.
Maestro AI | Senior Full Stack Engineer | REMOTE (US) Seattle onsite preferred, Remote OK | https://www.getmaestro.ai/
Hi, I'm William, the co-founder and CEO of Maestro AI. We're building an all-knowing chief of staff for engineering and product leaders. Maestro provides real-time, comprehensive insights, synthesized from Slack conversations, Jira tickets, and more. We allow leaders to stay in control of deadlines, accelerate their team, and understand and prioritize work.
Our goal is to eliminate information silos and become the OS that helps run engineering teams (and later every type of team).
We're an early-stage, venture-backed startup, and you'll have the opportunity to shape our product and culture from the ground up.
We're looking for someone who takes pride in their craft, pushes their limits, and takes action to create something new. Our stack is Python on the backend and React/Redux/Typescript on the frontend. We're training our own models in addition to using existing LLMs.
We've been thinking about the things you need to be careful about when building AI products for businesses and put them in this article. Are there important things that we missed?
It's insane that that this works, and that it works fast enough to render at 20 fps. It seems like they almost made a cross between a diffusion model and an RNN, since they had to encode the previous frames and actions and feed it into the model at each step.
Abstractly, it's like the model is dreaming of a game that it played a lot of, and real time inputs just change the state of the dream. It makes me wonder if humans are just next moment prediction machines, with just a little bit more memory built in.
Maestro AI | Senior Full Stack Engineer, Senior AI Engineer | REMOTE (US) Seattle onsite preferred, Remote OK | https://www.getmaestro.ai/
Hi, I'm William, the co-founder and CEO of Maestro AI. Throughout my career in software engineering, I've repeatedly witnessed how fragmented workflows and broken processes can stifle even the most brilliant teams. That's why I started Maestro AI. Our mission is to streamline the process of software development, turning chaos into clarity so that teams can accomplish more.
Maestro AI provides real-time, comprehensive insights for teams so everyone can easily see what's happening, how projects are progressing, and where people are blocked. We eliminate information silos by aggregating data from multiple collaborative tools like Slack, Jira, Notion, and Github, enabling seamless communication and informed decision-making across the entire organization.
We're an early-stage, venture-backed startup, and you'll have the opportunity to shape our product and culture from the ground up.
We're looking for someone who takes pride in their craft, pushes their limits, and takes action to create something new. Our stack is Python on the backend and React/Redux/Typescript on the frontend. We're training our own models in addition to using existing LLMs.
Does anyone know whether the 128K is input tokens only? There are a lot of models that have a large context window for input but a small output context. If this actually has 128k tokens shared between input and output, that would be a game changer.
This may be why things like Substack and Beehiiv have taken off. The only way to combat reposting through Google is to deliver content directly to email inboxes before it gets ranked and reposted.
There is something additional at play with TechCrunch, though. Recently I feel like they haven't been posting as many articles that are about smaller startups as they used to. They tend to post more about Google, Nvidia, Intel, etc. I find myself reading it less and less because it's mostly news that you can also find elsewhere.
Yeah, you're right. Data breaches are essentially just slaps on the wrist to companies like AT&T. Maybe it's possible to fine them based on the proportion of the userbase that was affected and the profits they generated for a certain time period.
I wonder if this will push companies to stop using external vendors to store and process data. If companies stored all of their info in house, it would prevent the case where compromising one vendor compromises everyone's data. But it would also mean that each individual company needs to do a good job securing their data, which seems like a tall ask.
I wonder if allergies can eventually be fixed somehow as well. There has to be an immune or autoimmune reason why some people have tons of allergies and other people are perfectly fine.
Yeah, "performed dominance" as you call it definitely is orthogonal to rationally understanding the world.
The problem is exacerbated by content and replies trending shorter over time. It's hard to have a nuanced and thoughtful take in 10 seconds. It's much easier to have a simple, easy to understand, "dominant" take in the same amount of time.
I wonder if there's a social solution to this, somehow.
This is a great article on the difference between an obstinate person and a persistent person, but I'm not sure the general public perceives them the same way that Paul does.
What I've found is that many times, people like the perceived confidence that obstinacy can bring. For example, let's say that someone points out a flaw in a plan. Person A responds by saying "That's not a real problem. It doesn't matter." Person B says "Ok, that's interesting. Let's dig into it." Person A (the obstinate person who doesn't listen) usually comes across as more confident in this encounter, even though Person B (the persistent person who is engaging) may actually end up learning something new and getting a better result.
This is especially true in public forums. If you go up on a stage and do a debate, the obstinate person comes across as more confident to more people. This doesn't mean that their plan is any good. But people will vote for them, give them money, etc.
For the record, I agree with Paul's assessment that persistence is a great quality and obstinacy is not. However, it's hard to actually get this across to the public.
We use it that way and it works great.