As a CTO, I'm excited and looking forward to this interview.
I'm going to interview Pranav Goel on "Integrating LLMs into existing products" for Gravitas WINS Radio.
I bet that we will see more LLMs integrated into existing products than developing stand-alone LLM products.
Pranav and I are going to discuss what could be the methodology, what kind of regulations will play out etc.
If you have any questions, please replay back.
DataCon: как научиться применять ИИ на химических данных
Уже два года подряд Центр искусственного интеллекта в химии ИТМО проводит DataCon - это сочетание образовательного интенсива и хакатона. Ученые Центра “делегируют” участникам хакатона обработку данных, собранных в ходе экспериментов и по открытым источникам. Результат - обученные ML-модели, прогнозирующие характеристики новых наночастиц из проектов Центра. В то же время DataCon - бесплатный образовательный интенсив, который проходит онлайн для школьников и студентов, уже имеющих базу в области химии. Они расширяют свои знания по нейросетям и работе с ними в контексте обработки экспериментальных данных. В этой статье расскажем о том, как это работает и какие результаты дает.
Today's AI News & Comment
The possibility of regulation hangs on the horizon over generative AI
Eve Online player corp names ChatGPT its new leader
Are you using ChatGPT to complete tasks at work? It might be tired of doing the heavy lifting.
Google's NotebookLM gets a dozen new features, including a Gemini Pro upgrade
The ‘relatively simple’ reason why these tech experts say AI won’t replace humans any time soon
Once upon a time, students used to ask their friends to take tape recorders to lectures, so they could sleep in, and listen later. Before long, the room filled with tape recorders.
So one day, the lecturer came in with a tape player, hit 'play', and left his box, speaking the lecture the other machines.
I feel like the #ML craze needs a few tools to automatically apply to jobs and benefits.
"CLICK HERE TO APPLY TO THE TOP 1000 POSITIONS IN YOUR FIELD"
AppZen is hiring a Senior Machine Learning Scientist in #San Jose! Apply today at https://www.datasciencejobsusa.com/jobs/senior-machine-learning-scientist-appzen-8f5a1. #GetFediHired #datasciencejobs #datascientistjobs #datascience #aijobs #mljobs #machinelearning #engineeringjobs #Hiring #HiringAlert #USA #ML #AI
#Technology #Tech #FutureTech #Data #BigData #DataAnalytics #Cloud #BusinessIntelligence #AI #ML Overwatch 2: Watch Mauga’s Origin Story Video Here https://www.forbes.com/sites/krisholt/2023/11/03/overwatch-2-watch-maugas-origin-story-video-here/?utm_source=dlvr.it&utm_medium=mastodon #Innovation #ArtificialIntelligence #MachineLearning
I've written a short accessible blog post summarising the work my PhD student Marta Andronic will be presenting this week at #FPT2023. #ML #FPGA
#Technology #Tech #FutureTech #Data #BigData #DataAnalytics #Cloud #BusinessIntelligence #AI #ML Everything You Need To Know About ‘Fortnite’ Season OG: Original Map Locations, Challenges And More https://www.forbes.com/sites/erikkain/2023/11/03/fortnite-chapter-4-season-og-start-time-original-map-locations-and-everything-you-need-to-know/?utm_source=dlvr.it&utm_medium=mastodon #Innovation #ArtificialIntelligence #MachineLearning
Today's AI News & Comment
Microsoft’s Edge Copilot AI can’t really summarize every YouTube video
Google weighs Gemini AI project to tell people their life story using phone data, photos
System of intelligence — generative AI at the app layer
This week in AI: Mistral and the EU’s fight for AI sovereignty
Google's Gemini, Grok Goes Premium, and More of the Top AI News of the Week
OOPS! ELON MUSK'S GROK AI CAUGHT PLAGIARIZING OPENAI'S CHATGPT
The ‘relatively simple’ reason why these tech experts say AI won’t replace humans any time soon
The Morning After: Battle of the chatbots, part two
Here’s how the EU will regulate AI tools like OpenAI’s ChatGPT and GPT-4
From head to heart to diet, AI is learning to make a map of elite athletes’ bodies
AI ‘influencers’ are destroying women’s self-image – and it’s only going to get worse
AI can predict intimate partner femicide from variables extracted from legal documents
Meta and IBM team up against dominant Big Tech players
Something I’ve been thinking about a lot in the current battle over the future of (pseudo) AI is the cotton gin.
I live in a country where industrial progress is always considered a positive. It’s such a fundamental concept to the American exceptionalism claim that we are taught never to question it, let alone realize that it’s propaganda.
One such myth, taught early in grade school, is the story of Eli Whitney and the cotton gin. Here was a classic example of a labor-saving device that made millions of lives better. No more overworked people hand cleaning the cotton (slaves, though that was only mentioned much later, if at all). Better clothes and bedding for the world. Capitalism at its best.
But that’s only half the story of this great industrial time saver. Where did those cotton cleaners go? And what was the impact of speeding up the process?
Now that the cleaning bottleneck was gone, the focus was on picking cotton as fast as possible. Those cotton cleaners likely, and millions of other slaves definitely, were sent to the fields to pick cotton. There was an unprecedented explosion in the slave trade. Industrial time management and optimization methods were applied to human beings using elaborate rule-based systems written up in books. How hard to punish to get optimal productivity. How long their lifespans needed to be to get the lost production per dollar. Those techniques, practiced on the backs and lives of slaves, became the basis of how to run the industrial mills in the North. They are the ancestors of the techniques that your manager uses now to improve productivity.
Millions of people were sold into slavery and worked to death *because* of the cotton gin. The advance it provided did not, in fact save labor overall. Nor did it make life better overall. It made a very small set of people much much richer; especially the investors around the world who funded the banks who funded the slave purchases. It made a larger set of consumers more comfortable at the cost of the lives of those poorer. Over a hundred years later this model is still the basis for our society.
Modern “AI” is a cotton gin. It makes a lot of painstaking things much easier and available to everyone. Writing, reading, drawing, summarizing, reviewing medical cases, hiring, firing, tracking productivity, driving, identifying people in a lineup…they all can now be done automatically. Put aside whether it’s actually capable of doing any of those things *well*; the investors don’t care if their products are good, they only care if they can make more money off of them. So long as they work enough to sell, the errors, and the human cost of those errors, are irrelevant. And like the cotton gin, AI has other side effects. When those jobs are gone, are the new jobs better? Or are we all working that much harder, with even more negative consequences to our life if we fall off the treadmill? One more fear to keep us “productive”.
The Luddites learned this lesson the hard way, and history demonizes them for it; because history isn’t written by the losers.
They’ve wrapped “AI” with a shiny ribbon to make it fun and appealing to the masses. How could something so fun to play with be dangerous? But like the story we are told about the cotton gin, the true costs are hidden.
#Technology #Tech #FutureTech #Data #BigData #DataAnalytics #Cloud #BusinessIntelligence #AI #ML Unwinding Growth: B2B SaaS Operators Pick Up the Pieces https://www.forbes.com/sites/glennsolomon/2023/11/03/unwinding-growth-b2b-saas-operators-pick-up-the-pieces/?utm_source=dlvr.it&utm_medium=mastodon #Innovation #ArtificialIntelligence #MachineLearning
AppZen is hiring a Machine Learning Scientist in #San Jose! Apply today at https://www.datasciencejobsusa.com/jobs/machine-learning-scientist-appzen-7c71b. #GetFediHired #datasciencejobs #datascientistjobs #datascience #aijobs #mljobs #machinelearning #engineeringjobs #Hiring #HiringAlert #USA #ML #AI
#Technology #Tech #FutureTech #Data #BigData #DataAnalytics #Cloud #BusinessIntelligence #AI #ML Google Rolls Out Urgent Pixel Update For Android 14 Media Bug https://www.forbes.com/sites/jaymcgregor/2023/11/03/google-rolls-out-urgent-pixel-update-for-android-14-media-bug/?utm_source=dlvr.it&utm_medium=mastodon #Innovation #ArtificialIntelligence #MachineLearning
OpenAI Turbocharges GPT-4: Speed and Affordability Revolutionizes Generative AI https://www.analyticsvidhya.com/blog/2023/11/openai-turbocharges-gpt-4-speed-and-affordability-revolutionizes-generative-ai/?utm_source=dlvr.it&utm_medium=mastodon #DataAnalytics #DataScience #DataDriven #ML #CIO #ITDirector #SaaS #AI
#Tech #AI #ML #Cloud #DataEngineering Java News Roundup: JDK 22, Spring CVEs, Liberica JDK, JDKMon 21, Jupyter for Java, Gradle 8.5 https://www.infoq.com/news/2023/12/java-news-roundup-nov27-2023/?utm_campaign=infoq_content&utm_source=dlvr.it&utm_medium=mastodon&utm_term=AI%2C%20ML%20%26%20Data%20Engineering-news #ArtificialIntelligence #MachineLearning #DataScience
Почему важно тестировать промпты и как это делать
Prompt Engineer — очень перспективная профессия. На рынке труда, в том числе российском, появляется всё больше вакансий с солидной зарплатой. Удивительно, но к специалистам в этой области, как правило, нет конкретных требований. Иногда кажется, что некоторые компании ищут промпт-инженеров, просто чтобы соответствовать тренду. Недавно я видел в одном из объявлений такой пассаж: «...Будет преимуществом опыт работы на смежной позиции (продактом, дата-сайентистом, разработчиком) и знание Python…». Если всё перечисленное — только преимущество, то что тогда считать требованиями?
"Large Language Models on #Graphs: A Comprehensive Survey" I am lost😕😕
Using #LLMs on graphs, applications, #opensource code repositories, benchmark datasets #AI beyond text
Github list of repos: https://github.com/PeterGriffinJin/Awesome-Language-Model-on-Graphs
Today's AI News & Comment
It seems that GenAI is great at some jobs and terrible at others
Microsoft and OpenAI tie-up faces ‘relevant merger’ scrutiny by UK regulator CMA
Many workers are pretty keen to get generative AI running at work
Backed by Cresta founders, Trove’s AI wants to make surveys fun again
Anthropic’s latest tactic to stop racist AI: Asking it ‘really really really really’ nicely
Be glad UK’s watchdog has its eyes on what just happened at OpenAI
The Implications of AI Recreating Images From Our Mind is Frightening
AI Image Apps That ‘Undress’ Women Are on the Rise
In One Tiger-Infested Village, AI Trail Cameras are Keeping People Safe
The Secret Behind AI Drive-Thrus? It’s Humans Doing the Work.
Round 2: We test the new Gemini-powered Bard against ChatGPT
OpenAI taps former Twitter India head to kickstart in the country
Google’s AI-assisted NotebookLM note-taking app is now open to users in the US
X’s AI chatbot Grok now ‘rolled out to all’ US Premium+ subscribers, English language users are next
Microsoft’s next-gen Windows sounds pretty mind-blowing with ‘groundbreaking’ new AI features
Which AI Image Generator Is the Best?
OpenAI says it is investigating reports ChatGPT has become ‘lazy’
EU agrees ‘historic’ deal with world’s first laws to regulate AI
Stanford and Meta inch towards AI that acts human with new ‘CHOIS’ interaction model
ChatGPT rival Pi launches on Android
6 Things You Can Do With Windows Copilot
Stretching Your Dollar: Amazon's A.I. Training Scholarship
The real research behind the wild rumors about OpenAI’s Q* project
EconEats — AI restaurant recommendations
Microsoft May Be Working On an AI Edition of Windows
Senior OpenAI employees claimed Sam Altman was ‘psychologically abusive’: report
SRAX Explains How AI Is Reshaping Investor Relations
The push to make big AI small
WATCH: In My Feed - Companies Are Increasingly Using AI To Write Performance Reviews
In public statements by Sundar Pichai, in literature and in other promotional materials regarding #Gemini, #Google appear to be trying to define the game to their convenience making it all about multi-modality. For sure, if it works, it can be great for a number of things. But it looks more like the type of thing that you would use paired with a completely different HCI paradigm than those in common use today. Multi-modality of prompting requires multi-modality of inputs.
Google is not the new Microsoft, it's the new IBM without stops in between.
For anyone reading the paper yesterday it was obvious that the hype wasn't conclusively backed by the report. #FAIL
Now this morning's real #ml bullshit. Canned demo for the win. Shame on google. https://www.theverge.com/2023/12/7/23992737/google-gemini-misrepresentation-ai-accusation
Today's AI News & Comment
Blood test shows if organs are ageing fast or slowly
Jailbroken AI Chatbots Can Jailbreak Other Chatbots
EXCLUSIVE: Microsoft readies 'groundbreaking' AI-focused Windows release as new leadership takes the helm
As a new AI-driven coding assistant is launched, the battle for AI-mindshare moves to developers
Avail rolls out its AI summarization tool to help Hollywood execs keep up with script coverage
Early impressions of Google’s Gemini aren’t great
Simply Homes nabs $22M, leverages AI to tackle affordable housing crisis
Apple Scurries Onto the AI Stage With Too Little, Too Late
Ex-Google, Coursera employees start Lutra AI to make AI workflows easier to build
EU ‘final’ talks to fix AI rules to run into second day — but deal on foundational models is on the table
The AI skills gap is becoming incredibly troubling for companies everywhere
Pimento turns creative briefs into visual mood boards using generative AI
Five-month-old Indian AI startup Sarvam scores $41 million funding
Pixel 8 Pro update makes it Google's first AI phone – here are the 6 new features
AI Is Hitting Your Computer Hardware: AMD Ryzen AI
Unity 6 arrives with AI tools, plus Apple & Meta partnerships
iPhone 16 rumored to get better Siri with AI and improved microphones
Maybe We Already Have Runaway Machines
5 Free AI Chatbots for Your Website
Google’s best Gemini demo was faked
Elon Musk’s ‘Anti-Woke’ AI Is Here, Snowflakes Need Not Apply
5 AI tools that can help you land that perfect job
Sam Altman hates the name ChatGPT
AI-powered satellite analysis reveals the unseen economic landscape of underdeveloped nations
Deepdub, startup with ties to HBO Max and Fox, launches royalty program for AI voice clones
Stability AI goes ‘smol’ with StableLM Zephyr 3B
NICKI MINAJ FANS ARE USING AI TO CREATE “GAG CITY”
What's your (p)doom? The morbid question making rounds in tech
AI scores in the top percentile of creative thinking
AI can help combat health misinformation, White House cancer research head says
Apple Unveils Open-Source Path for AI Development on Its Silicon Chips
AI can make your holidays happier. Here's how to use it
Google confirms that its cofounder Sergey Brin played a key role in creating its ChatGPT rival
Meta to fight AI-generated fake news with ‘invisible watermarks’
Breakthrough Interface Enables AI ChatGPT Access Using Thoughts
Microsoft exec hints at new LLMs beyond OpenAI’s
AI models are 'just scratching the surface' and will 'skyrocket in the near future,' Google Cloud director says
AI messaging is coming to Instagram and other Meta platforms
We need to get over ourselves – and get out of AI’s way
IBM was early to AI, then lost its way. CEO Arvind Krishna explains what’s next
Expert Voices Roundtable Discussion at Axios' Washington, D.C. AI+ Summit: American Competitiveness & AI
The ultimate AI glossary to help you navigate our changing world
Highlights from Semafor’s Finding Common Ground on AI event
AI has been quietly enhancing your work life for years
These 5 major tech advances of 2023 were the biggest game-changers
In "#OpenAccess, #OpenScholarship, & #MachineLearning: A Panel & Community Conversation" the #CNI23f closing panelists will ponder the aspirations of "open" in light of #ML systems, such as #LLMS and generative #AI, using scholarly literature as training data.🔗Details: https://www.cni.org/mm/fall-2023/plenary-sessions-f23
DeepMind recently published a paper showing how LLMs can't generalize well outside their training set. This seems to apply to multi-modal models and deep learning in general.
This is most easily demonstrated by these image generation tools. They can't create things they haven't seen!
Here is an example I created. So no fret artists, they won't replace you.
💃 New episode of JS Party!
Gregg Tavares (author of WebGL/WebGPU Fundamentals) joins @jerod & @Amal to give us a tour of these low-level technologies that are pushing the web forward into the world of video games, machine learning & other exciting rich applications.
It's probably very good, but from the MMLU benchmark alone it's impossible to know for sure how it compares to existing open source models that excel across a range of benchmarks.
The answer is we don't know, because Gemini is not #FOSS, and we can't know unless G share their model (right... you wish) or they produce comparable benchmark reports (and if we trust them that they're playing nice)
I've been reading Google's Gemini paper today.
This particular bit in the picture stands out.
Dear opensource developers, if you build ML libraries on top of other ML libraries, please expose the underlying APIs for:
- loading custom model weights
- saving model weights
- saving pipelines
- exporting safetensors
This way, you support your users in working with local models, instead of making them extra dependent on external model hosting parties like Google and HuggingFace.
> “Apple joins AI fray with release of model framework”—The Verge
Given that four years ago I managed to write a 500-page book on all the tools Apple had made and all the things you could do with AI on Apple Platforms (and had to cut content to even fit that), these headlines about MLX feel a bit unkind to all the efforts made up until now… 🤔
Congrats to double agent Landon Gray, who will be speaking today at Flower City AI!
Have you ever considered building a machine learning model in Ruby? It may surprise you to learn that you can train, build, and deploy ML models in Ruby.
Landon will walk the audience through the process of building a simple ML model in Ruby that predicts the weather.
☁️ New patterns in Mars clouds revealed by volunteers | Phys.org
"The paper also explains the motivation for the project and describes its setup on Zooniverse. It digs into the details of how cloud identifications made by participants were turned into a cloud catalog using machine learning."
A paper of mine was just included in a special collection over at the MIT Computational Law Report.¹ So it seemed like a good time to tell you about the novel #ML method (M) for scoring free-response questions it describes. Given the text of student answers, & NOTHING MORE, M can produce a ranked list of answers that more closely match the order given by a human grader (H) than a random shuffle (R). Learn how, a 🧵 (1/?)
¹ https://law.mit.edu/smu-past-present-future (Unsupervised Machine Scoring...)
"There’s a gap between AI talk and businesses actually using it.
Major companies can’t stop talking about artificial intelligence tools, but few businesses report using them."
Fake Intelligence is where we try to simulate intelligence by feeding huge amounts of dubious information to algorithms we don’t fully understand to create approximations of human behaviour where the safeguards that moderate the real thing provided by family, community, culture, personal responsibility, reputation, and ethics are replaced by norms that satisfy the profit motive of corporate entities.
📢 Our final community call of the year is coming up next week, on Tuesday 12 December at 16:00 UTC (8AM PST | 11AM EST | 16:00 UK | 17:00 CET).
We'll be doing a review of 2023, including a recap of our annual conference, a look at our working groups, and a brief glance forward to 2024.
If you've ever wanted to learn more about us as a community this is the call to come along to! You can find more details, including the joining link in our agenda:
“A new set of machine learning tools is helping countries place refugees where they’re most likely to find employment.” - Stanford University Human-Centered Artificial Intelligence
Today's AI News & Comment
AI gift-giving, gossip surveillance and the tyranny of Spotify Wrapped towns
AI laser that reads heartbeat through the throat could replace stethoscopes
Why the Entire AI World Was Talking About "Q" This Week
IBM wants to use its AI to help new antibody discoveries
US Announces AI Hackathons to Strengthen Critical Mineral Supply Chains
Amazon’s Q has ‘severe hallucinations’ and leaks confidential data in public preview, employees warn
Defining fairness: How IBM is tackling AI governance
I’m watching ‘AI upscaled’ Star Trek and it isn’t terrible
Oh, Good, OpenAI’s Biggest Rival Has a Weird Structure Too
UBER EATS MOCKED FOR GROTESQUE AI-GENERATED FOOD PICTURES ON MENU
In Congress and in class: Rep. Don Beyer works toward master’s degree in AI
ChatGPT is already stealing work from freelancers
Georgia county to use program linked to election denier to flag ineligible voters
Europe’s AI crackdown looks doomed to be felled by Silicon Valley lobbying power
y'all, people are scared that AI is going to take over, but i can't even get it to make me a picture of an office *with people in it*.
i've put in a bunch of prompts so far with all kinds of creative wording, and yet still: empty office.
the prompt for the below image was: "a contemporary office filled with diverse people working at their desks."
Ok, I'm converging on a position regarding the terms "artificial intelligence" and "machine learning", relevant to my previous discussion.
Short version is that the term AI is unscientific, AGI is intellectually dishonest, and both AI and ML serve to mislead. There should be convergence on alternate terminology, so as to help build a robust critical/skeptic movement.
What follows is a summary of the case for my positions.
A while back I asked for references about gene regulatory network models and how they relate to neural networks and others.
I'm still exploring this topic, but I wanted to share back a really cool paper I found: https://sci-hub.st/10.1111/evo.12337
This paper argues that "gene networks evolve like neural networks learn," and has some very fun examples demonstrating how to do traditional machine learning using model gene regulatory networks as a medium.
It's hardly the final word on the topic, but I'm excited to see folks actively exploring how learning theory might apply to genetics! Seems very promising.
Amazon CodeWhisperer offers new AI-powered code remediation, IaC support, and integration with Visual Studio 👉 With support for AWS CloudFormation (YAML, JSON), AWS CDK (Typescript, Python), and HashiCorp Terraform (HCL) https://aws.amazon.com/blogs/aws/amazon-codewhisperer-offers-new-ai-powered-code-remediation-iac-support-and-integration-with-visual-studio/ #AWS #DevOps #AI #ML #GenAI
I'll pose the question(s) more directly:
Are the terms "artificial intelligence" and/or "machine learning" intellectually dishonest? Are they deceptive or misleading, whether intentionally or unintentionally?
Does their use misinform and harm the general public? Do they harm the public understanding of science? Do they enable bad actors who *do* intend to deceive and mislead? Should their continued use be critiqued and perhaps discouraged?
💻 Intro to Large Language Models, by Andrej Karpathy
> This is a 1 hour general-audience introduction to Large Language Models: the core technical component behind systems like ChatGPT, Claude, and Bard. What they are, where they are headed, comparisons and analogies to present-day operating systems, and some of the security-related challenges of this new computing paradigm.
💻 Decoding Intentions: Artificial Intelligence and Costly Signals,
by Andrew Imbrie, Owen Daniels, and Helen Toner
This is the paper that Altman thought was critical of OpenAI, and kicked off all the drama
Toner, one of the authors, was on OpenAI's board until yesterday
I found an app implementing Stable Diffusion for the macbook.
With a bit of tweaking, it seems it can generate images that approximately resemble well-known photos of Main Street, Hirta, St Kilda circa 1886.
Shame about the mangled attempts at copyright watermarks betraying the images used to train the model, isn't it? ;)
My partner (who is not a "techbro") uses #ChatGPT to do their job.
So, I simply can not agree with you when you say #LLMs are useless.
Maybe they don't have a use for you, right now, but they do and will make lots of other people's lives better.
Tilt at the windmill if you must.
It's obvious that the 1980s pop singer Den Harrow was an enlightened tech visionary, predicting the AI and ChatGPT revolution…