- enabling local MCP in Desktop like Claude Desktop, not just server-side remote. (I don't think you can run a local server unless you expose it to their IP)
- having an MCP store where you can click on e.g. Figma to connect your account and start talking to it
- letting you easily connect to your own Agents SDK MCP servers deployed in their cloud
ChatGPT MCP support is underwhelming compared to Claude Desktop.
You absolutely can make a local MCP server! I use one as part of TalkiTo which runs one in the background and connects it to Claude Code at runtime so it looks like this:
Admittedly that's not as straight forward as one might hope.
Also regarding this point "letting you easily connect to your own Agents SDK MCP servers deployed in their cloud" I hear roocode has a cool new remote connect to your local machine so you can interact with roocode on your desktop from any browser.
One way around this to use a gateway to run the local MCP - then connect to it via the gateway. We just rolled out support for that [1] in the one we're making at mintmcp.com
because the trend looks linear at a glance, and doesnt really provide a visual representation of the absolute difference in sizes. not to mention its quite rare to see log scale graphs, and many people wont even notice that it is, and leave with the wrong impression
not indicated, and the general idea of dataviz is to communicate clearly. when you have a number, what it represents should be noted, and the units. if I see a number in that context, I assume it's calling out the value displayed.
the x axis is also a bit off, would ideally plot the date of the release and use a proper time axis.
a title is also good to have, maybe a data table.
sorry to be cranky but those who are downvoting , try to be clear, learn some standards, or stay away from publishing charts. you can even ask AI to clean up your code to conform to a standard. Soft skills are important for an engineer. You need to explain the work in clear, persuasive language and dataviz. or you can be, I'm a super-smart engineer, you figure out what I'm trying to say, I don't need to worry about making your eyes bleed. crikey.
Maybe the future is structured electronic messaging with the humans in the loop.
Like, check in with the controller but most messages are sent electronically and acknowledged manually.
I have your clearance, advise when ready to copy, then you write everything down on kneeboard with a pencil and then manually put it in the navigation system, is a little archaic.
certainly speech to text is a useful transition but in the long run the controller could click on an aircraft and issue the next clearance with a keyboard shortcut. then the pilot would get a visual and auditory alert in the cockpit and click to acknowledge.
I would hope someone at NASA or DARPA or somewhere is working on it. And then of course the system can detect conflicts, an aircraft not following the clearance etc.
The problem with datalink systems is they are poor substitutes for immediate control & confirmation. My co-founder Eric wrote a short piece about this: https://www.ericbutton.co/p/speech. This is why they are mainly relegated to low-urgency en-route & clearance delivery.
He’s write about the bandwidth and latency of voice, but the problem is that you can’t immediately know who should react to instructions. “GO AROUND IMMEDIATE!” - now all the pilots on frequency are wondering who’s the addressee
Also, AM voice on VHF is not full duplex and the blocking problem is very real and could be addressed potentially
interesting! have PP but haven't flown really last couple of decades.
I feel like, with proper UX in the cockpit and on the controller console, making it easy to send/acknowledge the clearance, and intrusively demanding immediate acknowledgment for important messages, with the controller able to talk to the pilot if it isn't immediately acknowledged, structured messages would save time, be more accurate, allow automated checks, i.e. be a superior substitute.
UX needs a ton of work and human factors validation, and would take 20 years to implement. But if you were starting from a blank slate it seems like the way to go!
For what it's worth, as always 99% benchmarks are very unreliable and per-task performance still greatly differs per model, with plenty of cases where results are wildly different.
I have a task I use in my work where Gemini 1.5-Pro is SOTA. Handily beating o1, Sonnet-3.5, Gemini-exp and everyone else, very consistently and significantly.
The newer/bigger models are better at reasoning and especially coding, but there's plenty of tasks that have little overlap with those skills.
* The article points out that reliable sources say the media org runs a network of fake news sites pushing BJP propaganda.
* The media org sues Wikipedia.
* The judge threatens to block Wikipedia in India, and demands the doxxing of the editors who made these observations about what sources say.
* Somebody starts a Wikipedia page about this civil case.
* That page now says "The Wikimedia Foundation has suspended access to this page due to an order by the Delhi High Court", but the one the case is about is still up.
Was there no such order about the Asian News International page? Or there was, but the WMF is ignoring that one while complying with this one?
I don't really get it, although "refrain from publishing information about an ongoing trial in case you prejudice the outcome" would be a reasonable request to comply with for ethical reasons. But they make it sound like they were forced to block this page and didn't want to. But not the page this page is about. Huh?
Edit: I think I see now, thanks to the above link about "On-wiki discussion". Something about the vagaries of law means blocking the meta-level article, but not the original one, is necessary if they want to appeal, years down the line when they get a chance. So it's strategic.
Does the community license let companies fine-tune it or retrain it for their use cases?
There are significant restrictions on it so it's not fully open-source, but maybe it's only a real problem for Google and OpenAI and Microsoft.
Open source has turned into a game of, what's the most commercial value I can retain, while still calling it open-source and benefiting from the trust and marketing value of the 'open source' branding.
- enabling local MCP in Desktop like Claude Desktop, not just server-side remote. (I don't think you can run a local server unless you expose it to their IP)
- having an MCP store where you can click on e.g. Figma to connect your account and start talking to it
- letting you easily connect to your own Agents SDK MCP servers deployed in their cloud
ChatGPT MCP support is underwhelming compared to Claude Desktop.
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