Categories within Brand Verticals that narrow down the scope of Brands

Business Taxonomy

Brands, companies, advertisers and every non-person handle with the profit intent related to softwares, apps, communication equipments, hardwares

Technology Business

Entity Service top level domain, every item that is in Entity Service should be in this domain

Entities [Entity Service]

Technology

A grouping of interests and hobbies entities, like Novelty Food or Destinations

Interests and Hobbies Category

Computer programming

Open source

Unified Twitter Taxonomy

Never underestimate the open source AI community.

These cracked engineers are here to break the limits of what’s possible with local LLMs. We just witnessed some nutty inventions.

Here’s what we saw at the @ollama Open Source and Local AI meetup at @cerebral_valley (🧵): https://t.co/AdRv26RJ0l

Accelerating @agentopsai @foomvc Agents, ML, math, and data viz. Hack reporter🕶️

Alex Reibman 🖇️

TV Shows

Reacher

Brands, companies, advertisers and every non-person handle with the profit intent related to movies, music, television, franchises, venues, theme parks, toys, tourism, hotels

Entertainment & Leisure Business

Television

Movies & TV

Crime drama

Drama TV

Hey folks, I've been seeing a lot of chatter about people saying they won't watch "Reacher" anymore because of something I did or said. Look, I get it, but let's put things into perspective here. Am I supposed to prioritize my job over my personal beliefs?

I sat down with @christophergardner and @hollywoodreporter - read the in depth interview here:

Alan Ritchson

People who don't want to learn how to program can always find a reason why not to. This time it's AI, last time it was that tech was over because the Internet Bubble burst, the time before that it was that all the programming jobs were going to be outsourced to India.

Paul Graham

Named people in the world like Nelson Mandela

Person

Marques Brownlee

Brand

Apple

Influencers who create content on digital platforms

Digital Creator

Gadgets

YouTubers

for individual and types of technology, e.g., food technology, 3D printing

Products created by Brands.  Examples: Ford Explorer, Apple iPhone.

Product

Apple - iPhone

Apple - Siri

Apple - iOS

Cell Phones

Mobile

On one hand: It seems like it's only a matter of time before Apple starts making major AI-related moves around the iPhone and iOS and buries these AI-in-a-box gadgets extremely quickly

On the other hand: Have you used Siri lately?

Web Video Producer | ⋈ | Pro Ultimate Frisbee Player | Host of @WVFRM @TheStudio

OpenAI

ChatGPT

Artificial intelligence

We are excited to announce our first office in Asia and we’re releasing a GPT-4 custom model optimized for the Japanese language.

Introducing OpenAI Japan

Introducing OpenAI Japan, our first office in Asia, along with a new GPT-4 custom model specifically optimized for 日本語 (the Japanese language). https://t.co/mIcCpbC18m https://t.co/UJjQpBjKsO

OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. We’re hiring: https://t.co/dJGr6LgzPA

Sam Altman

Top level entities that describe a Brands industry

Brand Vertical

Services

Services - B2B

Brands, companies, advertisers and every non-person handle with the profit intent related to offline and online games such as gaming consoles, tabletop games, video game publishers

Gaming Business

Google 

Microsoft

Tencent

Google - AI

Google brand conversation

Video Game Publisher

Gaming

Game development

Tech industry

Cambridge University

Boston Dynamics 

Colleges & Universities

Amazon

Microsoft Office

Microsoft - AI

Amazon - AI

Enterprise software

Cities

Boston

AI NEWS: Microsoft just revealed an AI that can produce a deepfake from only 1 photo.

Plus, huge developments from Boston Dynamics, Tencent, University of Cambridge, Sam Altman, Amazon, Google DeepMind, and Wayve.

Here's everything going on in AI right now:

Founder of the world’s most read daily AI newsletter @therundownai. Sharing the latest developments in the world of artificial intelligence.

Rowan Cheung

Main points for the planned next patch:
-Fix all the weird homeless bugs
-Tune the archer damage
-Tune the trade oversupply mechanics (it's too harsh and punishes regional specialization)
-Slow down the rate of the AI claiming territories

Real time strategy game for PC that combines deep, organic and realistic city building with large scale, tactical battles ⚔

MANOR LORDS

Oh and...
-Improve the sawpit efficiency / storage.

Facebook

Social media

Introducing the first member of the Nesa leadership team. Dr. Harry Yang is from Facebook AI where he created Make-a-Video, Meta’s version of OpenAI’s Sora, letting users turn text instantly into video with AI. Dr. Yang is an expert in LLM design and computer vision, working in both fields while at Meta, and has thousands of citations for his research in deep learning, along with numerous IEEE and CVPR highlight submissions and an invitation for AI professorship. He holds a PhD in AI from USC and an MSc in Computer Science. @leehomyc

Introducing the first member of the Nesa leadership team. Dr. Harry Yang is from Facebook AI where he created Make-a-Video, Meta’s version of OpenAI’s Sora, letting users turn text instantly into video with AI. Dr. Yang is an expert in LLM design and computer vision, working in… https://t.co/9fNyH6BI6M https://t.co/xIVE4gZWlO

The Layer-1 blockchain for AI. Broadcast trustworthy proofs on the number one network for critical inference on-chain.
https://t.co/5Yp4GWD32j

Nesa

Miami

The market cap for Match Group is $9B. Someone will build the AI-version of Match Group and make $1B+.

I met some guy last night in Miami who admitted to me that he spends $10,000/month on "AI girlfriends".

I thought he was kidding. But, he's a 24 year old single guy who loves it.

I asked him what he loved about it:

Him: "Some people play video games, I play with AI girlfriends"

Him: "I love that I could use voice notes now with my AI girlfriends"

Him: "I get to customize my AI girlfriend. Likes, dislikes etc. It's comfort at the end of the day".

Me: speechless

There are a few platforms he likes but he prefers candy dot ai and kupid dot ai

"It's kinda like dating apps. You're not on only one."

See this photos of women below? Tap in.

All of them are AI-generated.

Look real, but aren't.

AI models are starting to look freakishly real to me. 

Maybe you too.

Things are about to get pretty weird.

--

I share things i notice on the world here @gregisenberg (follow me) or in my link in bio for free startup ideas.

The market cap for Match Group is $9B. Someone will build the AI-version of Match Group and make $1B+.

I met some guy last night in Miami who admitted to me that he spends $10,000/month on "AI girlfriends".

I thought he was kidding. But, he's a 24 year old single guy who loves… https://t.co/J4pll7wdTn https://t.co/wqnODwggAI

I run a portfolio of internet companies. CEO: @latecheckoutplz we build companies like @ideabrowser, @meetLCA, @boringmarketer etc

GREG ISENBERG

We trained a robot dog to balance and walk on top of a yoga ball purely in simulation, and then transfer zero-shot to the real world. No fine-tuning. Just works. 

I’m excited to announce DrEureka, an LLM agent that writes code to train robot skills in simulation, and writes more code to bridge the difficult simulation-reality gap. It fully automates the pipeline from new skill learning to real-world deployment. 

The Yoga ball task is particularly hard because it is not possible to accurately simulate the bouncy ball surface. Yet DrEureka has no trouble searching over a vast space of sim-to-real configurations, and enables the dog to steer the ball on various terrains, even walking sideways!

Traditionally, the sim-to-real transfer is achieved by domain randomization, a tedious process that requires expert human roboticists to stare at every parameter and adjust by hand. Frontier LLMs like GPT-4 have tons of built-in physical intuition for friction, damping, stiffness, gravity, etc. We are (mildly) surprised to find that DrEureka can tune these parameters competently and explain its reasoning well. 

DrEureka builds on our prior work Eureka, the algorithm that teaches a 5-finger robot hand to do pen spinning. It takes one step further on our quest to automate the entire robot learning pipeline by an AI agent system. One model that outputs strings will supervise another model that outputs torque control.

We open-source everything! Welcome you all to check out the paper, more videos, and try the codebase today: https://t.co/RwiBT3z78H 
Code: https://t.co/ERp4Gl0N36

We trained a robot dog to balance and walk on top of a yoga ball purely in simulation, and then transfer zero-shot to the real world. No fine-tuning. Just works. 

I’m excited to announce DrEureka, an LLM agent that writes code to train robot skills in simulation, and writes more… https://t.co/KA5nd8uOZY https://t.co/kuG14LmSOh

@NVIDIA Sr. Research Manager & Lead of Embodied AI (GEAR Lab). Creating foundation models for Humanoid Robots & Gaming. @Stanford Ph.D. @OpenAI's first intern.

Jim Fan

Can AI rewrite our human genome? ⌨️🧬

Today, we announce the successful editing of DNA in human cells with gene editors fully designed with AI. Not only that, we've decided to freely release the molecules under the @ProfluentBio OpenCRISPR initiative.

Lots to unpack👇 https://t.co/NWowAlDLMv

Founder & CEO of Profluent (https://t.co/GpoVdKW1zQ, we're hiring!). AI+Biology to cure disease. Berkeley PhD. formerly Research @ Salesforce AI.

Ali Madani

Information security

Meta's new AI—Llama3—beats an old version of GPT-4, Claude 2.1, and GPT-3.5!

You can run it:
- 100% free
- with 100% privacy (no data leaves your machine)

See the comments for an easy way to install 👇 https://t.co/Ox3aqRdFZT

A.I. for writing, productivity, business | College Prof, A.I. Educator, A.I. Researcher | Writer on Disney+ show | Father to newborn, so sleepy

Jeremy Nguyen ✍🏼 🚢

London

Microsoft recently announced the creation of Microsoft AI, a newly formed organization to help advance our consumer AI products and research, including Copilot. Building on that news, I’m thrilled to share that Microsoft AI is opening a new AI hub in the heart of London. Microsoft AI London will drive pioneering work to advance state-of-the-art...

Announcing new Microsoft AI Hub in London - The Official Microsoft Blog

The UK has phenomenal AI talent and a long established culture of responsible AI development. 

Today I’m proud to be opening a new office: Microsoft AI London. If you’d like to join us, get in touch. We’re hiring!

https://t.co/DmFD3wFwQi

CEO, Microsoft AI | Author: The Coming Wave | Past: Co-founder, @InflectionAI & @GoogleDeepMind

Mustafa Suleyman

Types of sports, like soccer and basketball

Sport

Soccer

Brands, companies, advertisers and every non-person handle with the profit intent related to sports nutrition, athletic apparel, sports apps, fitness venues

Sports & Fitness Business

Sports

OP3 humanoid robots learned to play agile soccer using deep reinforcement learning.

Learning agile soccer skills for a bipedal robot with deep reinforcement learning

Soccer players have to master a range of dynamic skills, from turning and kicking to chasing a ball. How could robots do the same? ⚽

We trained our AI agents to demonstrate a range of agile behaviors using reinforcement learning.

Here’s how. 🧵 https://t.co/RFBxLG6SMn https://t.co/4B4S2YiVLh

We’re a team of scientists, engineers, ethicists and more, committed to solving intelligence, to advance science and benefit humanity.

Google DeepMind

Apple App Store

App Store

‎Get help on a variety of tasks whenever inspiration strikes—on everything from writing to analysis to math—from Claude, your trusted AI assistant. INSTANT ANSWERS With Claude you have a world of intelligence right in your pocket. Just start a chat, send Claude a photo, attach a file—and ask away.…

‎Claude

The Claude iOS app has arrived. The power of frontier intelligence is now in your back pocket.

Download now on the App Store: https://t.co/zUG6bnldnp https://t.co/yabpNuziQz

We're an AI safety and research company that builds reliable, interpretable, and steerable AI systems. Talk to our AI assistant Claude at https://t.co/aRbQ97uk4d.

Anthropic

It seems to me that a lot of reviewers just simply don’t want to deal with a learning curve for a new interface that takes more than 5 seconds to master? 

There is a learning curve to using the Ai Pin’s hand gestures to control and navigate Cosmos but it took me 5 days to get really good Al at it. Like I said in my review, I can easily "laser in" 9/10 times and roll through the Laser Ink Display interface really, really fast

It does work, you just need to learn how to use it. If you're unwilling to learn it, that's a you problem. In this world, there exists good tech with inputs and controls that are not stupid easy to use — but they require practice and patience

I don't need to pretend or get defensive about my opinions. I always have receipts

It seems to me that a lot of reviewers just simply don’t want to deal with a learning curve for a new interface that takes more than 5 seconds to master? 

There is a learning curve to using the Ai Pin’s hand gestures to control and navigate Cosmos but it took me 5 days to get… https://t.co/onH5qTSksm https://t.co/krz4aLUFhT

Deputy Editor of Tech Reviews & Guides @inversedotcom » 📧 ray.wong@inverse.com | Prevs: ∞ Founding Editor @inputmag (RIP) • Senior Tech Correspondent @mashable

Ray Wong

Python

Mobile gaming

Video Game Hardware

Console gaming

Groq is crazy fast 🤯

I compared both Llama 3 (on Groq) and GPT-4 by asking them to code a snake game in Python, and look at the difference in speed!

Link to get the Groq phone app in the comments: https://t.co/ipjQb7rstI

Educating about AI, Cybersecurity and Technology | Professor & Computer Engineer, PhD | ✍️ @therundownai

Alvaro Cintas

Google Innovation

I love when people who started thinking about AI around 1.5 years ago come onto the scene and say stuff like yeah it’s all incremental progress from here we hit the top

roon

Aaron Levie

Brands, companies, advertisers and every non-person handle with the profit intent related to Banks, Credit cards, Insurance, Investments, Stocks 

Financial Services Business

Top level interests and hobbies groupings, like Food or Travel

Interests and Hobbies Vertical

Business & finance

Leadership

Interests, opinions, and behaviors of individuals, groups, or cultures; like Speciality Cooking or Theme Parks

Interests and Hobbies

Jobs

Conversation about global finance and economies.

Global Economy

Business personalities

Fields of study

Economics

One of the most common concerns about AI is the risk that it takes a meaningful portion of jobs that humans currently do, leading to major economic dislocation. Often these headlines come out of economic studies that look at various job functions and estimate the impact that AI could have on these roles, and then extrapolates the resulting labor impact. What these reports generally get wrong is the analysis is done in a vacuum, explicitly ignoring the decisions that companies actually make when presented with productivity gains introduced by a new technology -- especially given the competitive nature of most industries.

The thinking generally goes that if a company could, say, be 50% more productive in a particular function, it would mean a commensurate reduction of jobs in that area.  For instance, if a certain function (like engineering or sales) required 10 units of labor before, then with a 50% gain in productivity, in the future that same function would now only need ~7 units of labor.  The challenge with this type of thinking is that it assumes that companies have maximized the amount of labor they wish they had for a particular function, when in reality many functions are only staffed at the level the company can afford. Further, it assumes that a company is not in a competitive field, and that the company would be complacent and happy about generating the same output as before, just with less costs. Finally, it ignores the fact that productivity gains in a market will lead to increased response from competition, which companies equally have to respond to with more productivity not necessarily more profit. Time and time again this is the type of flawed thinking that we tend to get out of broad economic studies on the labor needs in the economy.  

To break this down and make it practical, I thought I'd illustrate the point with the example of an engineering function -- one that already is seeing the benefits of AI starting to roll out. The numbers will all be kept simple, but you can change almost any variable and the point will remain the same.  The key to thinking through job impacts is to think through what happens a step or two *after* the productivity gain of AI is experienced.

So, imagine you're a software company that can afford to employee 10 engineers based on your current revenue. By default, those 10 engineers produce a certain amount of output of product that you then sell to customers. If you're like almost any company on the planet, the list of things your customers want from your product far exceeds your ability to deliver those features any time soon with those 10 engineers. But the challenge, again, is that you can only afford those 10 engineers at today's revenue level. So, you decide to implement AI, and the absolute best case scenario happens: each engineer becomes magically 50% more productive. Overnight, you now have the equivalent of 15 engineers working in your company, for the previous cost of 10.

Finally, you can now build the next set of things on your product roadmap that your customers have been asking for. We can't assume it will be 50% more because there are new points of friction and coordination tax that emerge as you have 15 equivalent engineers, but let's say your output goes up meaningfully. Assuming you're acting in your best interests as a company, the features you build make your product that much more compelling, which means at some point (sooner or later) they should result in an incremental gain in revenue. Let's be somewhat conservative on what impact these new features will have on your product, but let's say they generate an incremental 10% of revenue over time or keep customers retained at a 10% greater rate (roughly the same financial benefit).

Now let's assess the downstream impact. Firstly, any growth of revenue will often lead to some functions in the business growing as well to support these new customers, which will directly create new jobs. But further, the company now has to decide whether it remains satisfied with its 10 engineers that have the output of 15, or with their incremental revenue should they hire even more engineers to build the *next* set of features that will make them even more compelling to customers. Unless this company is in some rare monopoly position, they likely will want to build the next set of features even faster than the last set to grow even more quickly. This then means AI has caused the company --counterintuitively--  to hire more engineers than before, because the productivity of each engineer is much higher, allowing them to generate more return per engineer, and thus more revenue.

What's interesting is this analogy works similarly for most functions in a business. In sales, if you could make sales reps 10% more productive (i.e. they sell 10% more of your products/services for the same cost), almost every company in the world would prefer to hire even more sales reps, instead of merely banking the incremental profit. That incremental sales productivity again would lead to downstream implications, like the need to deliver more features to customers, and thus more R&D hiring! Even back-office functions that don't as directly tie to revenue growth, often are a bottleneck to growth . If you can reduce the bottleneck -- say lawyers reviewing contracts, or people processing invoices-- cycle time in businesses accelerates, which almost always lets you serve more customers faster or grow more quickly, again letting a company reinvest those dollars.

In the end, when you step out of the vacuum of just the specific productivity gain of a particular job function, and look at how the whole system will adapt and improve due to that productivity gain, a very different picture of AI's impact on jobs will emerge. Yes there will absolutely be changes to what jobs become more or less in demand in the future, but the competitive nature of companies inevitably ensures that across the whole system companies will be focused on leveraging AI to become more productive.

One of the most common concerns about AI is the risk that it takes a meaningful portion of jobs that humans currently do, leading to major economic dislocation. Often these headlines come out of economic studies that look at various job functions and estimate the impact that AI… https://t.co/eEtBL0j6u9

Lead Magician (and CEO) at Box (@box); Huge ABBA fan. I don't fully endorse anything I say below. Go ☁

the fact that all the AI bros are mad at @MKBHD for giving an honest review is hilarious to me

your openai API wrapper is silly

495k+ Youtube 🎥 Twitch Partner 🎮 Hacker 🧙‍♂️ Teaches Computers @ https://t.co/IWD9FeYEiX

Low Level Learning

computer whisperer 🧙‍♂️ internet person 📸 https://t.co/w16KCXvlpb

Low Level

Events [Entity Service]

NZ roadmap

The first randomized trial of medical #AI to show it saves lives
ECG-AI alert in 16,000 hospitalized patients
31% reduction of mortality (absolute 7 per 100 patients) in pre-specified high-risk group
https://t.co/32erebkY1s
@NatureMedicine https://t.co/vH3TcZGL82

physician-scientist, author, editor.     Ground Truths: https://t.co/YhatcBT0hA

Eric Topol

ANNOUNCEMENT 3 - Nigerian Multilingual Large Language Model

The launch of Nigeria’s first Multilingual Large Language Model (LLM) through a partnership between @awarritech, @DataDotOrg, @NITDANigeria and @NCAIRNigeria. 

The LLM will be trained on 5 low resource languages and accented english to ensure stronger language representation in existing datasets for development of Artificial Intelligence solutions. The project will also be supported by over 7,000 fellows from the @3MTTNigeria programme. #NAIS

ANNOUNCEMENT 3 - Nigerian Multilingual Large Language Model

The launch of Nigeria’s first Multilingual Large Language Model (LLM) through a partnership between @awarritech, @DataDotOrg, @NITDANigeria and @NCAIRNigeria. 

The LLM will be trained on 5 low resource languages and… https://t.co/xDM2AJcCHK https://t.co/97THQGnPmc

Minister of Communications, Innovation and Digital Economy, Federal Republic of Nigeria. Messages from the Honourable Minister are signed “BT”.

Dr. 'Bosun Tijani

🔈 @ton_society has partnered with HumanCode, an innovative AI technology company, to transform the way users verify their identity online!

TON Society offers 1M $TON in incentives for users to verify their identity  💸

Why does this matter? Let’s find out 🧵⬇️

🔈 @ton_society has partnered with HumanCode, an innovative AI technology company, to transform the way users verify their identity online!

TON Society offers 1M $TON in incentives for users to verify their identity  💸

Why does this matter? Let’s find out 🧵⬇️ https://t.co/ieUOx8DrDz https://t.co/uZPFSXGkmF

The Open Network (TON) is putting crypto in every pocket. By building the Web3 ecosystem in Telegram, TON is making digital ownership easy for billions.

TON 💎

Society

Marriage

Met a potential founder yday who is an AI researcher at Google Deepmind on an EB-1A extraordinary ability visa.

He’s trying to get married to his gf in London, but the I-824 will take her 1yr+.

US immigrants’ entire lives need to be architected around such archaic policies.

Investing at @MenloVentures. Formerly founding team @glean, @Google Search. @Cornell CS. Tweets about tech, immigration, India, fitness and search.

Deedy

Sundar Pichai

Global conversation about threats of terrorism, response of governments, and national security  

Global security & terrorism

Politics

Political issues

Tech personalities

This morning the Department of Homeland Security announced the establishment of the Artificial Intelligence Safety and Security Board. The 22 inaugural members include Sam Altman, Dario Amodei, Jensen Huang, Satya Nadella, Sundar Pichai and many others. https://t.co/f7zVOZJM16

Atypically Friendly - I write about AI and human creativity. Will periodically make extremely unusual arguments.

Andrew Curran

Fear of AI overtaking jobs misses the point. The real question is why so many of us tied human value to labor

AGI/ASI by 2030. Posting about AI,AGI,ASI, Singularity, Post Scarcity, LEV, tech & sci progress. acc.

Tweet Hunter

Trending tweets about ai

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