#call: ???

[jcmarchi]

Putting AI into the Hands of People with Problems to Solve - Technology Org

New Post has been published on https://thedigitalinsider.com/putting-ai-into-the-hands-of-people-with-problems-to-solve-technology-org/

Putting AI into the Hands of People with Problems to Solve - Technology Org

As Media Lab students in 2010, Karthik Dinakar SM ’12, PhD ’17 and Birago Jones SM ’12 teamed up for a class project to build a tool that would help content moderation teams at companies like Twitter (now X) and YouTube. The project generated a lot of excitement, and the researchers were invited to demonstrate at a cyberbullying summit at the White House — they just had to get the thing working.

Pienso has developed a no-code AI builder so the people closest to problems can use the technology rather than relying on machine learning engineers. Image credit: Courtesy of Pienso

The day before the White House event, Dinakar spent hours trying to put together a working demo that could identify concerning posts on Twitter. Around 11 p.m., he called Jones to say he was giving up.

Then Jones decided to look at the data. It turned out Dinakar’s model was flagging the right types of posts, but the posters were using teenage slang terms and other indirect language that Dinakar didn’t pick up on. The problem wasn’t the model but the disconnect between Dinakar and the teens he was trying to help.

“We realized then, right before we got to the White House, that the people building these models should not be folks who are just machine-learning engineers,” Dinakar says. “They should be people who best understand their data.”

The insight led the researchers to develop point-and-click tools that allow nonexperts to build machine-learning models. Those tools became the basis for Pienso, which today is helping people build large language models for detecting misinformation, human trafficking, weapons sales, and more, without writing any code.

“These kinds of applications are important to us because our roots are in cyberbullying and understanding how to use AI for things that really help humanity,” says Jones.

As for the early version of the system shown at the White House, the founders ended up collaborating with students at nearby schools in Cambridge, Massachusetts, to let them train the models.

“The models those kids trained were so much better and nuanced than anything I could’ve ever come up with,” Dinakar says. “Birago and I had this big ‘Aha!’ moment where we realized empowering domain experts — which is different from democratizing AI — was the best path forward.”

A project with purpose

Jones and Dinakar met as graduate students in the Software Agents research group of the MIT Media Lab. Their work on what became Pienso started in Course 6.864 (Natural Language Processing) and continued until they earned their master’s degrees in 2012.

It turned out 2010 wasn’t the last time the founders were invited to the White House to demo their project. The work generated a lot of enthusiasm, but the founders worked on Pienso part time until 2016, when Dinakar finished his PhD at MIT and deep learning began to explode in popularity.

“We’re still connected to many people around campus,” Dinakar says. “The exposure we had at MIT, the melding of human and computer interfaces, widened our understanding. Our philosophy at Pienso couldn’t be possible without the vibrancy of MIT’s campus.”

The founders also credit MIT’s Industrial Liaison Program (ILP) and Startup Accelerator (STEX) for connecting them to early partners.

One early partner was SkyUK. The company’s customer success team used Pienso to build models to understand their customer’s most common problems. Today those models are helping to process half a million customer calls a day, and the founders say they have saved the company over £7 million pounds to date by shortening the length of calls into the company’s call center.

“The difference between democratizing AI and empowering people with AI comes down to who understands the data best — you or a doctor or a journalist or someone who works with customers every day?” Jones says. “Those are the people who should be creating the models. That’s how you get insights out of your data.”

In 2020, just as Covid-19 outbreaks began in the U.S., government officials contacted the founders to use their tool to better understand the emerging disease. Pienso helped experts in virology and infectious disease set up machine-learning models to mine thousands of research articles about coronaviruses. Dinakar says they later learned the work helped the government identify and strengthen critical supply chains for drugs, including the popular antiviral remdesivir.

“Those compounds were surfaced by a team that did not know deep learning but was able to use our platform,” Dinakar says.

Building a better AI future

Because Pienso can run on internal servers and cloud infrastructure, the founders say it offers an alternative for businesses being forced to donate their data by using services offered by other AI companies.

“The Pienso interface is a series of web apps stitched together,” Dinakar explains. “You can think of it like an Adobe Photoshop for large language models, but in the web. You can point and import data without writing a line of code. You can refine the data, prepare it for deep learning, analyze it, give it structure if it’s not labeled or annotated, and you can walk away with fine-tuned, large language model in a matter of 25 minutes.”

Earlier this year, Pienso announced a partnership with GraphCore, which provides a faster, more efficient computing platform for machine learning. The founders say the partnership will further lower barriers to leveraging AI by dramatically reducing latency.

“If you’re building an interactive AI platform, users aren’t going to have a cup of coffee every time they click a button,” Dinakar says. “It needs to be fast and responsive.”

The founders believe their solution is enabling a future where more effective AI models are developed for specific use cases by the people who are most familiar with the problems they are trying to solve.

“No one model can do everything,” Dinakar says. “Everyone’s application is different, their needs are different, their data is different. It’s highly unlikely that one model will do everything for you. It’s about bringing a garden of models together and allowing them to collaborate with each other and orchestrating them in a way that makes sense — and the people doing that orchestration should be the people who understand the data best.”

Written by Zach Winn

Source: Massachusetts Institute of Technology

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[longreads]

How Concerned Citizens Drove a Neo-Nazi Out of Rural Maine

Christopher Pohlhaus planned to build a fascist training compound in the woods of rural Maine. The local journalists, veterans, lumberjacks, and policymakers weren't having it.

Pohlhaus, 37, is a former U.S. marine, an itinerant tattoo artist, and a hardcore white-supremacist influencer. He is loud and hostile, and proud to be both. His voice is pitched surprisingly high, and he has a slight Southern drawl. He has a large body and small bald head; a blue-black tattoo crawls up the right side of his face, from his chin to his forehead. Over the years, Pohlhaus has collected thousands of social media followers, who know him by his nickname: Hammer.

Hammer had been living in Texas for a few years when, in March 2022, he bought the land in Maine. He told his followers that he was going to use it to build a haven, operational center, and training ground for white supremacists.

Check out our excerpt of The Atavist’s latest blockbuster story. 

[389]

PORTO ROCHA

[nanaluvbug]

🧀🥪🌶️🥭 The Ravening War portraits  🧀🥪🌶️🥭

patreon * twitch * shop  

[ID: a series of digitally illustrated portraits showing - top left to bottom right - Bishop Raphaniel Charlock (an old radish man with a big red head and large white eyebrows & a scraggly beard. he wears green and gold robes with symbols of the bulb and he smirks at the viewer) Karna Solara (a skinny young chili pepper woman with wavy green hair, freckled light green skin with red blooms on her cheeks. she wears a chili pepper hood lined with small pepper seeds and stares cagily ahead) Thane Delissandro Katzon (a muscular young beef man with bright pinkish skin with small skin variations to resemble pastrami and dark burgundy hair. he wears a bread headress with a swirl of rye covering his ears and he looks ahead, optimistic and determined) Queen Amangeaux Epicée du Peche (a bright mango woman with orange skin, big red hair adorned with a green laurel, and sparkling green/gold makeup. she wears large gold hoop earrings and a high leafy collar) and Colin Provolone (a scraggly cheese man with waxy yellow skin and dark slicked back hair and patchy dark facial hair. he wears a muted, ratty blue bandana around his neck and raises a scarred brow at the viewer with a smirk) End ID.)

[70sscifiart]

One of my favorites by Paul Lehr, used as a 1971 cover to "Earth Abides," by George R. Stewart. It's also in my upcoming art book!

[taizooo]

もともとは10年ほど前にTumblrにすごくハマっていて。いろんな人をフォローしたらかっこいい写真や色が洪水のように出てきて、もう自分で絵を描かなくて良いじゃん、ってなったんです。それで何年も画像を集めていって、そこで集まった色のイメージやモチーフ、レンズの距離感など画面構成を抽象化して、いまの感覚にアウトプットしています。画像の持つ情報量というものが作品の影響になっていますね。

映画『きみの色』山田尚子監督×はくいきしろい対談。嫉妬し合うふたりが語る、色と光の表現｜Tokyo Art Beat

[layla-keating]

#thistension

XO, KITTY — 1.09 “SNAFU”

[nevver]

No one wants to be here and no one wants to leave, Dave Smith (because)

[foodffs]

Noodles with Lamb Sauce (Laghman, 新疆拌面) Xinjiang laghman features chewy noodles served with a bold and rich lamb and tomato sauce that is bursting with flavor.

Recipe: https://omnivorescookbook.com/recipes/uyghur-style-noodles-with-lamb-sauce

[lesserknownbots]

CJ from Hello World (MSPFA) by phasedsun?

[shitakeo33]

よく「発明は1人でできる。製品化には10人かかる。量産化には100人かかる」とも言われますが、実際に、私はネオジム磁石を1人で発明しました。製品化、量産化については住友特殊金属の仲間たちと一緒に、短期間のうちに成功させました。82年に発明し、83年から生産が始まったのですから、非常に早いです。そしてネオジム磁石は、ハードディスクのＶＣＭ(ボイスコイルモーター)の部品などの電子機��を主な用途として大歓迎を受け、生産量も年々倍増して、2000年には世界で1万トンを超えました。

世界最強「ネオジム磁石はこうして見つけた」（佐川眞人 氏 ／ インターメタリックス株式会社 代表取締役社長） | Science Portal - 科学技術の最新情報サイト「サイエンスポータル」

[389]

PORTO ROCHA

[theroyalweekly]

HRH The Princess of Wales in Southport today, on her first engagement since completing chemotherapy. It’s so good to see her!❤️ --

[mellowlike]

齋藤飛鳥

[kithtaehyung]

AGUST D : DAECHWITA (大吹打) & HAEGEUM (解禁)  ⤷ movie posters | ig ; twt (click for hi-res)