Pascal Heus

AI / Data Lead @getpostman Open Technologies. @[email protected] 🇨🇦 🇧🇪 | AI/ML | Open APIs | Open Data / Metadata | Open Science |

[Abhinav Asthana @a85]

Model Context Protocol (MCP) has quickly emerged as the preferred way for agents to connect to the outside world. Excited to announce that MCP support is coming to Postman!

What does this mean:

1. Work with MCP requests natively in Postman.
2. Support for SSE and stdio transports
3. Seamless, optimized UI to reduce friction in working with tools.

Reply to this post for early access!

[Pascal Heus @PascalHeus]

I explored @midjourney's new character consistency feature to turn my @EveOnline alter egos into storytelling images. This can be used with any #MMORPG #AIArtwork #creativeai #scifiart #characterconsistency

https://t.co/UtrQaGno0H

[Pascal Heus @PascalHeus]

Star Trek communicator is around the corner...

[Pascal Heus @PascalHeus]

I am honored to be entry #037 on Humans of Data, an art/research project to open up a conversation through portraits and quotes from individuals from around the world who are part of the research data community.
https://t.co/UxpDBFgV6Y
#data #humans

[Pascal Heus @PascalHeus]

I'm very excited to see @chatcsv becoming part of FlatFile.
(@flatfilers).
https://t.co/TR69Q7eTZ9

[Postman @getpostman]

Four reasons why reasons developers should use #AI APIs 🤖🚀👇

1. Access advanced AI capabilities
2. Save time and effort
3. Scale easily
4. Reduce costs

Explore our curated list of great AI APIs from the Public API Network: https://t.co/XbBFVyrsWG

[CODATA @CODATANews]

CODATA DRUM Survey on API Requirements for Units, Quantities, and Fundamental Constants
https://t.co/jjCRfOj5gk
#codata #FAIRdata #OpenScience #datascience #opendata

[Pascal Heus @PascalHeus]

Attention developers & data scientists: I'm seeking feedback on an API to access knowledge on SI units, quantities, and fundamental constants. If this is of interest to you, please fill out this short form. Thank you for your contribution.
#science #API
https://t.co/zhOWiJzTt8

[CODATA @CODATANews]

DEADLINE EXTENDED TO 6 SEPTEMBER! 2023 Vocabulary Symposium: FAIR Vocabularies For All: call for presentations
https://t.co/6vPBWNu0Ih
#codata #FAIRdata #OpenScience #datascience #opendata

[Pascal Heus @PascalHeus]

Just used @Science_Cast to turn my 2011 thesis around an XML standard for quantum computing into an 88 seconds audio summary. Pretty neat. Thanks @ElevenLabs!
https://t.co/EiojyFwwL3

[Pascal Heus @PascalHeus]

This article emphasizes the need for unifying AI and semantic technologies. The same can be said for data, which is gibberish without metadata. But in this case, both humans and machines need documentation for understanding datasets.
#AI #data #metadata
https://t.co/aYfODTVGe6

[Pascal Heus @PascalHeus]

If this holds true, it is groundbreaking

[Andrew Côté @Andercot]

First claimed successful replication of LK-99

Accomplished by a team at the Huazhong University of Science and Technology and posted 30 minutes ago.

Why this is evidence:
The LK-99 flake slightly levitates for both orientations of the magnetic field, meaning it is not simply a magnetized piece of iron or similar 'magnetic material'. A simple magnetic flake would be attracted to one polarity of the strong magnet, and repelled by the other. A diamagnet would be repelled under either orientation, since it resists and expels all fields regardless of the polarity.

Caveats
There is no way to verify the orientation of the strong magnet in this video, also, there are yet to be published experimental measured values of this sample. Diamagnetism is a property of superconductors but without measured and verified data, this is just suggestive of a result.

Take-away
If this synthesis was indeed successful, then this material is easy enough to be made by labs other than the original research team. I would watch carefully for results out of Argonne National Lab, who are reported to be working on their own synthesis of a sample.

This overall corroborates two independent simulation studies that investigated the original Korean authors claim about material and crystal structure, and both studies supported the claims.

Lawrence Berkeley National Lab: https://t.co/1Blls3VcgL
Shenyang National Lab: https://t.co/I0NHAP3KsR

The attached video shows a small flake of their sample responding to an external magnetic field. I scroll through the video to skip to the relevant part.

original video credit to: @altryne

[Pascal Heus @PascalHeus]

SPARQL Plugin for ChatGPT https://t.co/JjM61Y5jSB

[DoltHub @DoltHub]

GPT-4 has a new feature called function calling that can help label and normalize data automatically. See how we've been using it with our Hospital Price Transparency data.

https://t.co/hT7mDYAQkg

[Postman @getpostman]

gRPC is a powerful form of API because of its simplicity. 💫 Here are 3 key advantages

☑️ Functions are easy to add
☑️ Great overall performance
☑️ Infinite configuration

Explore our official documentation on gRPC APIs in Postman: https://t.co/ClNVQHP5Hx

[Pascal Heus @PascalHeus]

What can AI do if data comes with machine-actionable metadata? I started to explore using #ChatGPT code repository with CSV files and DDI. It's looking good so far.
#AI #data #metadata #csv #ddi #FAIR
https://t.co/8xLDp2FBmZ

[Matt Wolfe @mreflow]

Here’s Anthropic’s official announcement post: https://t.co/bMKanE15cz

[Pascal Heus @PascalHeus]

@kevinswiber I would say neutral good :-)

[Ethan Mollick @emollick]

Having a little too much fun stressing out Bing/GPT-4 using its new ability to recognize images...

[Postman @getpostman]

We are at a crucial juncture where we can’t lose sight that AI is an end product of an ecosystem that includes APIs, metadata, and data. 🌐 @PascalHeus shares more in the latest blog post: https://t.co/rQebFj3pTc