I would assume that they would fold this type of classification into their responses API next to existing ancillary tooling that they already ship. I think OpenAI positions themselves as being wholly focused on AGI - but I think their business model leans towards lock-in via superior tooling (Codex, ChatGPT, etc.). This feels like an easy win for them without muddying the larger vision.
I think your last point is exactly why I'm so interested in local models. The current landscape doesn't feel sustainable. The last few months we've seen the big providers (OpenAI, Anthropic) start to play with usage limits, resets, banked resets, pulling models, etc. I think local models are close to the point where, with a sufficiently well-architected harness, you can get results that are on par with the experience you'd have with cloud inference. It is nice to know that I have hardware under my desk that I control with open weight models that I can interact with on my terms.
I'm on a deep dive fine-tuning how I organize and manage my personal knowledge base - focused on entity extraction and strategic information retrieval and based on the AgREE paper from Apple[0] and persisting it in Memgraph.
I've got a nice ingest, extract, enrich process going for the graph - I'm currently working on a fork of claude-mem[1] that uses the graph as a contextual backend for agentic coding workflows.
If you're like me you're doing it to establish a greater level of trust in generated code. It feels easier to draw out the hard guard-rails and have something fill out the middle -- giving both you, and the models, a reference point or contract as to what's "correct"
This is a great use case for sub-agents IMO. By default, sub-agents use sonnet. You can have opus orchestrate the various agents and get (close to) the best of both worlds.
Very cool indeed. I started building something similar - relying on Auto Export [https://apps.apple.com/us/app/health-auto-export-json-csv/id...] to export my health data to an endpoint which stores it in a sqlite database. I never got as far as building an MCP server around the data but that's certainly the direction I was heading. The initial idea was to use my health data to provide context to a health/fitness agent that would recommend workouts, check-in on things, etc.
Claude will do this. I've seen it create "migration scripts" to make wholesale file changes -- botch them -- and have no recourse. It's obviously _not great_ when this happens. You can mitigate this by running these agents in sandbox environments and/or frequently checkpointing your code - ideally in a SCM like git.
There are a lot of nodes that are pre-built to interact with cloud APIs, but you effectively have an HTTP client available that can reach out to any endpoint. In my case, yes, I make use of cloud APIs and realize the trade-offs wrt privacy. You can hit any internal services you like assuming they're reachable from your n8n server
We have tools today that are uniquely good at wading through disparate sources and aggregating things into a format that we can easily digest. The worry of course - is that these tools are generally on offer from huge tech giants (google, openai, etc). The good news is, we have open-source versions of these tools that perform almost as well as the closed-source versions for these types of categorization and aggregation.
I would agree that information is now more scattered (like bread for ducks as the author notes) than ever before -- but we now have the unprecedented ability to wrangle it ourselves.
Hi y'all. Love the idea and congratulations on your launch. I've used [n8n](https://github.com/n8n-io/n8n) for similar use cases in the past. Any differences in Sim Studio that you'd like to call out?
I'm surprised continue.dev isn't getting a mention here. I've tried copilot, cody, and cursor, and ultimately came back to continue.dev. I can use my own models, api key, etc. The same VSCode setup I'm used to, custom context providers, doc indexing, etc. It's proven to be extremely useful for me - though I use it less for autocomplete, and more for interactive back-and-forth sessions to arrive at a block of code.
I used to work for a Fortune 500 company and in my case it was obvious that businesses in and around our campus suffered significantly with more people not coming to the office. My guess is the company had tax incentives in place with the city/state on the condition that their being there was a boost for the local economy. People not coming to work and spending money jeopardized those incentives.
That's right! I confuse Raleigh and Durham. I was at that same year. Highlights for me were floating points, blood orange, karen gwyer, bicep, a jamaican soundsystem soundclash out in the park, denzel curry, and a live performance by sam aaron live coding on his sonicpi software
For a short time Moog curated Moogfest in Asheville and later Raleigh. It was an amazing blend of music, technology, talks, culture, etc. I think it ran into some trouble towards the end of it's run. I ended up going once (solo) after a friend had to bail out last minute. It was one of the most fun and enriching music festivals I've ever attended. I can't imagine it coming back after this news. If anyone knows of anything similar that still exists I'd love to know about it.
I remember buying the first OP-1 when it came out for something around $700 and even then thought "wow, this is a stretch". Since then they _raised_ the price of the original north of $1k. Don't get me wrong, TE makes incredible stuff and the OP-1 is no exception, but the price point just doesn't make sense unless you have serious money to burn. I had the same reaction to you after seeing the price for the mk2. At least, like a lot of synths, they hold their value?
I once demo'ed Terraform to one of my old teams using the Dominos Pizza provider as an example. I ended up inadvertently ordering a Hawaiian style pizza to my house. It was....fine.
In the United States Blue refers to the Democratic party, where as Red refers to the Republican (GOP) party. This comment is stating that states that were once controlled by Democrats will cede control to Republicans in the 2022 US mid term elections
I work on a project that leverages Kong's API Gateway, which is essentially Nginx + Openresty (Lua) + Kong (More Lua). The killer feature wrt Kong is the plugin ecosystem, which (among other things) allows you to act on the request/response lifecycle at various stages. Developers coming onboard to the project usually have little to no experience writing Lua, but we've found that coming up to speed on the language and it's runtime to be fairly painless. These days Kong has shims to write plug-in code in a few different languages (javascript, python, go, and more recently a wasm runtime) but despite our teams unfamiliarity with the language we still go back to Lua because performance can't be beat.