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AI's medical breakthrough
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Welcome, AI enthusiasts.
The future of medical imaging just got much clearer and faster — 5000x faster, to be exact.
UCLA's SLIViT model matches expert accuracy at warp speed, but can it revolutionize healthcare without leaving humans in the dust? Let’s get into it…
In today’s AI rundown:
AI reaches expert level in medical scans
Meta reveals new AI models, tools
Create brand-consistent visuals with AI
Anthropic unveils new evaluations for AI sabotage risks
6 new AI tools & 4 new AI jobs
More AI & tech news
Read time: 4 minutes
LATEST DEVELOPMENTS
AI & MEDICINE
🧠 AI reaches expert level in medical scans

Image source: UCLA
The Rundown: Researchers at UCLA just developed SLIViT, a new AI model that can analyze complex 3D medical scans with expert-level accuracy in a fraction of the time required by human specialists.
The details:
SLIViT (SLice Integration by Vision Transformer) can efficiently analyze various 3D imaging types, including MRIs, CT scans, and ultrasounds.
The model matches clinical expert accuracy while reducing analysis time by a mind-blowing factor of 5,000.
Unlike other AI models, SLIViT requires only hundreds of training samples, making it more practical for real-world applications.
The framework leverages transfer learning, using prior knowledge from 2D medical data for efficient training with smaller 3D datasets.
Why it matters: With the growing demand for faster diagnostics, SLIViT’s ability to rapidly and accurately analyze imaging offers a potential game-changer for healthcare. The model’s ability to work with small datasets also makes it more accessible for providers with limited resources — potentially democratizing expert medical imaging.
TOGETHER WITH HEIGHT
🚀 Put project management on autopilot
The Rundown: Height's autonomous project management tool eliminates the manual legwork required to keep your work tidy and up-to-date — so you can focus on more than just managing tasks.
Height handles tedious workflows like:
Detecting scope changes and mapping edits back to your specs
Triaging bugs, assigning priority and escalating as needed
Tagging and organizing backlogs by feature, estimate, and more
META
🚀 Meta reveals new AI models, tools

Image source: Meta
The Rundown: Meta FAIR just introduced a collection of new research models and datasets, including an upgraded image segmentation tool, a cross-modal language model, solutions to accelerate LLM performance, and more.
The details:
Spirit LM is an open-source multimodal language model that integrates speech and text to generate more natural-sounding and expressive speech.
Meta’s SAM 2.1 update offers improved image and video segmentation on its popular predecessor, which saw over 700,000 downloads in 11 weeks.
Layer Skip provides an end-to-end solution for accelerating LLM generation times by nearly 2x without specialized hardware.
Other artifacts include SALSA for security testing, Meta Lingua for language model training, a synthetic data generation tool, and more.
Why it matters: Meta continues to push the AI bar forward with big releases across various areas. Given the company’s impressive open-source systems, it's hard to envision a future where closed models and tools have a significant advantage — and the moat between the two seems to be shrinking with each release.
AI TRAINING
🎨 Create brand-consistent visuals with AI

The Rundown: Ideogram allows you to create on-brand visuals for your social media campaigns, maintaining color consistency across all platforms.
Step-by-step:
Access Ideogram and note the free daily credits for trying it out.
Set up your brand's custom color palette in the settings.
Craft a detailed prompt and adjust settings like aspect ratio and rendering quality.
Generate the image, review it, and refine it by adjusting prompts or settings as needed.
Pro tip: Experiment with different aspect ratios (e.g., 1:1 for Instagram and 16:9 for Twitter headers) to create platform-specific images while maintaining brand consistency.
PRESENTED BY IBM
💻 IBM’s most compact AI models target enterprises
The Rundown: Meet IBM’s new third generation of Granite with new open, compact, and efficient 2B and 8B language models.
Designed to give enterprises more ways to embed and scale AI in their businesses, these new 2B and 8B compact models are:
Trained with carefully curated data;
Cost-efficient;
Designed to run high-performance solutions.;
Learn more about how these models can help transform enterprise AI adoption.
AI RESEARCH
🕵️ Anthropic unveils new evaluations for AI sabotage risks

Image source: Anthropic
The Rundown: Anthropic just published a set of new evaluations aimed at detecting potential sabotage capabilities in advanced AI systems, focusing on risks that could arise if models attempt to subvert human oversight or decision-making.
The details:
Four new evaluations were developed: human decision sabotage, code sabotage, sandbagging (hiding capabilities), and undermining oversight.
The evaluations use mock scenarios to test models' ability to manipulate and deceive humans, insert bugs into code, and undermine monitoring systems.
Tests were run on Claude 3 Opus and Claude 3.5 Sonnet models, which did not flag concerning results but showed the capability to sabotage.
Anthropic is open-sourcing the evaluations and said stronger anti-sabotage mitigation will be needed as AI continues to improve.
Why it matters: Anthropic’s research shows that AI isn’t very good at sabotaging humans... yet. But the capabilities are there in some capacity — and if the model acceleration continues like many think it will, it’s only a matter of time before these threats will be real and important to mitigate.
NEW TOOLS & JOBS
Trending AI Tools
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New AI Job Opportunities
Sanctuary AI - Financial Controller
Shield AI - Test Pilot
Curai - Sales Executive, Payers
Waymo - Staff Software Engineer
QUICK HITS
The Enterprise Deployment Playbook with Section’s CEO & COO. Learn the steps for meaningful AI adoption and internal AI ROI. RSVP for free.*
Perplexity is discussing a new fundraising round that would double the company’s valuation to over $8B, according to a report from the Wall Street Journal.
Apple internally believes that the company’s AI tech is 2+ years behind other industry leaders, according to Bloomberg Apple insider Mark Gurman.
Midjourney will release a new tool allowing users to edit uploaded images using its AI model this week, along with new retexturing capabilities — with initial access limited to a smaller group for testing.
AI and quantum tech startup SandboxAQ is seeking new funding at a valuation over $5B, with the Alphabet spinoff featuring backing from former Google CEO Eric Schmidt and Salesforce CEO Marc Benioff.
Publisher Penguin Random House revised its global copyright notices to include a statement explicitly preventing the use of texts for AI training purposes, which will now appear on all titles.
*Sponsored listing
THAT’S A WRAP

Physics' new AI prodigy
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Welcome, AI enthusiasts.
Step aside, Sir Isaac… There's a new Newton in town, and this one is powered by AI.
Archetype's new model is learning physics from scratch — potentially breaking barriers in autonomous learning. Let’s get into it…
In today’s AI rundown:
Newton AI learns physics from scratch
NotebookLM launches business pilot
Automate web data extraction with Zapier
Worldcoin unveils next-gen eye scanner
5 new AI tools & 4 new AI jobs
More AI & tech news
Read time: 4 minutes
LATEST DEVELOPMENTS
ARCHETYPE AI
🤖 Newton AI learns physics from scratch

Image source: Archetype AI
The Rundown: Archetype AI just unveiled 'Newton,' a new foundational AI ‘Large Behavior Model’ that learns complex physics principles directly from raw sensor data, without any human guidance.
The details:
Newton ingests raw sensor measurements to build its understanding of physical phenomena without pre-programmed knowledge.
The model can accurately predict behaviors of systems it wasn't explicitly trained on, like pendulum motion.
It outperformed specialized AI in tasks like forecasting citywide power consumption and discovering systems from data instead of training.
Archetype AI was founded by ex-Google researchers and has secured $13M in funding to date.
Why it matters: Newton is a paradigm shift in AI's interaction with the physical world. A single model could replace highly specialized systems by developing a generalized understanding rather than a narrow focus. The tech also opens the door to truly autonomous AI that can adapt to environments and tasks without human intervention.
TOGETHER WITH GALILEO
💡 Expert insights at GenAI Productionize 2.0
The Rundown: Don't miss GenAI Productionize 2.0, the premier conference for GenAI application development — featuring AI experts from leading brands, startups, and research labs.
Register for GenAI Productionize 2.0 to learn:
How to design a GenAI stack for enterprise scale
Strategies and techniques for AI evaluation and observability
Expert takeaways on measuring the ROI of AI
📓 NotebookLM launches business pilot

Image source: Google
The Rundown: Google just pushed an update for its viral AI note-taking assistant NotebookLM, adding new features that let users guide AI-generated audio summaries and announcing the upcoming launch of a new business-focused version.
The details:
Users can now customize the AI podcast Audio Overviews feature by providing instructions to focus on specific topics or adjusting the expertise level.
A new Background Listening feature allows users to listen to Audio Interviews while multitasking within NotebookLM.
A pilot program for NotebookLM Business is coming, offering enhanced features for organizations like higher usage limits and team collaboration tools.
Audio Overviews, which turns docs, videos, and other content into podcasts between AI hosts, went viral earlier this month for its realistic audio outputs.
Why it matters: Google is dropping the ‘experimental’ tag on NotebookLM, and the viral feature built in just two months is suddenly being called a ‘ChatGPT’ moment for the company. It’s also an interesting case of users actually enjoying AI-generated content — a quality that is hard to find in most mainstream sentiment for the tech.
AI TRAINING
🕸️ Automate web data extraction with Zapier

The Rundown: Zapier’s Chrome extension allows you to extract and process key information from websites, automating data collection and analysis tasks.
Step-by-step:
Install Zapier Central Chrome extension and log in.
Create a new AI assistant within the extension.
Navigate to your target website and craft a clear data extraction prompt.
Review the results and refine your request for more specific information.
Pro tip: You can turn your AI assistant’s contents into a Google Doc or draft and automatically send emails.
PRESENTED BY FIDDLER AI
🛡️ Score Your LLM applications with Fiddler
The Rundown: Fiddler Trust Service scores trust-related dimensions to detect LLM correctness, safety, and privacy issues with proprietary trust models — helping you enhance the performance and safety of your enterprise LLMs.
With Fiddler, you can:
Score LLMs with high accuracy and low latency using proprietary, task-specific trust models
Reduce costs by 6x, improve accuracy by 50%, and increase speed by 1.5x compared to public benchmarks
Detect and prevent issues like hallucinations, PII leakage, and prompt injection attacks
Start the self-guided tour today to score your LLM applications.
WORLD
👁️ Worldcoin unveils next-gen eye scanner

Image source: World
The Rundown: Worldcoin, the ‘proof of personhood’ startup founded by OpenAI CEO Sam Altman, just announced a rebrand to ‘World’, along with a new version of its iris-scanning ‘Orb’ technology and updated core platforms.
The details:
A new streamlined Orb promises 5x performance to its predecessor, alongside new countries, self-serve, and on-demand Orbs for easier onboarding.
The company introduced World ID 3.0 protocol, featuring new World ID Credentials, Deep Face to combat AI-generated deepfakes, and added privacy infrastructure.
An updated World App 3.0 allows for anonymous integration with third-party apps, and World is also launching the mainnet of its Worldchain blockchain.
The company has previously faced backlash and even bans from certain countries over privacy concerns.
Why it matters: Verifying human identity in the increasing flood of AI-generated content, agents, and systems is clearly going to be massively important — but given Worldcoin’s rocky launch and international struggles, the question is whether the company can overcome the early drama to actually achieve its goals.
NEW TOOLS & JOBS
Trending AI Tools
🤝 Feta - Run seamless standups, sprint sessions, or syncs with AI-powered documentation and automated workflows
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🐜 CodeAnt - Automatically detect and fix code quality issues, bugs, and security vulnerabilities in real-time
🎹 Reiden AI - A keyboard shortcut copilot that uses computer vision and integrates with popular apps
🗣️ Convo - Qualitative user research powered by AI
New AI Job Opportunities
✍️ Anyscale - Technical Writer
🛠️ Meta - ASIC Engineer (Infra Silicon Enablement)
🖥️ Shield AI - Perception Software Engineer, Sensor Fusion
🧑💼 Weights & Biases - Senior Product Manager, Identity & Governance
QUICK HITS
The U.S. Treasury Dept. shared that it leveraged AI to recover $1B in check fraud and prevent $4B in overall fraud in the 2024 fiscal year, showcasing the tech’s growing role in combating financial crime.
OpenAI expanded its partnership with consulting firm Bain & Co. to develop and sell industry-specific AI tools to corporate clients, with OpenAI reporting 1M paying business customers.
Meta is partnering with Blumhouse and other select filmmakers to test its Movie Gen AI video generation tools, gathering feedback to refine the tech before its public release in 2025.
Researchers from Alibaba and Skywork showcased Meissonic, a small, open-source text-to-image model that can generate high-quality outputs that outperform larger models.
Salesforce CEO Marc Benioff criticized Microsoft’s AI initiatives for overhyping the sector in an interview with Fast Company, calling its Copilot assistant the ‘next Clippy.’
OpenAI released a preview of its ChatGPT Windows app for paid users, offering file and photo interactions, model improvements, and a companion window mode.
THAT’S A WRAP

Open-source AI takes the lead
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Welcome, AI enthusiasts.
Nvidia is already crushing the chipmaking game, but its models are also casually topping the LLM benchmarks and outperforming the giants.
Did the company’s latest Nemotron release just give the open-source AI movement a new champion? Let’s get into it…
In today’s AI rundown:
Nvidia’s Nemotron outperforms leading AI models
Mistral AI unveils powerful new AI models for devices
Superstudio is your all-in-one creative AI platform
Boston Dynamics, Toyota team up on AI humanoids
5 new AI tools & 4 new AI jobs
More AI & tech news
Read time: 4 minutes
LATEST DEVELOPMENTS
NVIDIA
🚀 Nvidia's Nemotron outperforms leading AI models

Image source: Nvidia
The Rundown: Nvidia quietly released a new open-sourced, fine-tuned LLM called Llama-3.1-Nemotron-70B-Instruct, which is outperforming industry leaders like GPT-4o and Claude 3.5 Sonnet on key benchmarks.
The details:
Nemotron is based on Meta’s Llama 3.1 70B model, fine-tuned by NVIDIA using advanced ML methods like RLHF.
The model achieves top scores on alignment benchmarks like Arena Hard (85.0), AlpacaEval 2 LC (57.6), and GPT-4-Turbo MT-Bench (8.98).
The scores edge out competitors like GPT-4o and Claude 3.5 Sonnet across multiple metrics — despite being significantly smaller at just 70B parameters.
NVIDIA open-sourced the model, reward model, and training dataset on Hugging Face, which can also be tested in a preview on the company’s website.
Why it matters: Is a smaller open-source model racing to the top? While NVIDIA’s chipmaking triumphs are well-known, more surprising are the powerhouse models the company continues to produce. With open-source foundations and advanced fine-tuning, Nemotron is showing that smaller, efficient models can compete with giants.
TOGETHER WITH WEBAI
🛡️Privacy-First AI is here
The Rundown: webAI offers a unique platform for local, customizable, and fully-owned AI models, empowering businesses to harness AI’s potential without compromising on security and flexibility.
With webAI, you can:
Develop and test AI solutions in-house, eliminating the need for external AI teams
Utilize local compute, allowing you to prototype fast and securely at lower costs
Seamlessly deploy across various environments, from local to cloud and edge
Try webAI today and start building seamless local AI.
MISTRAL AI
📱Mistral AI unveils powerful new AI models for devices

Image source: Mistral AI
The Rundown: French AI startup Mistral AI just launched two new compact language models designed to bring powerful AI capabilities to edge devices like phones and laptops.
The details:
The new ‘Les Ministraux’ family includes Ministral 3B and Ministral 8B models, which have just 3B and 8B parameters, respectively.
Despite their small size, the models outperform competitors like Gemma and Llama on benchmarks, including Mistral's 7B model from last year.
Minstral 8B uses a new ‘interleaved sliding-window attention’ mechanism to efficiently process long sequences.
The models are designed for on-device use cases like local translation, offline assistants, and autonomous robotics.
Why it matters: While we await the incoming rollout of Apple Intelligence as many users’ first on-device AI experience, smaller models that can run efficiently and locally on phones and computers continue to level up. Having a top-tier LLM in the palm of your hand is about to become a norm, not a luxury.
AI TRAINING
🧑🎨 Superstudio is your all-in-one creative AI platform
The Rundown: Kaiber announced Superstudio, a brand new AI-powered infinite canvas, launching with Flux and Luma to help bring your creative ideas to life.
Step-by-step:
Visit www.Superstudio.app and sign up for a free account
Click the “+” in the top Navigation Bar to add a Flow to your Canvas
Create an image with the Flux Flow or Image Lab Flow
Create a video using the Luma Flow to bring your images to life
PRESENTED BY SONAR
📶 Improve the quality of AI-generated code
The Rundown: Sonar provides comprehensive solutions to validate and improve AI-generated code, helping produce reliable and secure software you can trust.
With Sonar, you can:
Validate AI-generated code with AI Code Assurance
Generate code fix suggestions in a single click with AI CodeFix
Mitigate risks inherent in AI-generated code
BOSTON DYNAMICS
🤖Boston Dynamics, Toyota team up on AI humanoids

Image source: Boston Dynamics
The Rundown: Boston Dynamics and the Toyota Research Institute just announced a new partnership to accelerate development of advanced humanoids, with plans to integrate TRI’s Large Behavior Models (LBMs) into the Atlas electric robot.
The details:
Toyota’s LBMs aim to teach robots to handle multi-task, dexterous vision, and language-guided capabilities.
The partnership combines two robotics labs owned by competing automakers, Hyundai (who purchased Boston Dynamics in 2020) and Toyota.
TRI‘s ‘Diffusion Policy’ enables robots to learn 60+ complex skills from human demos without coding, a key component of the partnership’s research efforts.
Boston Dynamics retired its hydraulic Atlas robot in April and debuted the electric update, currently being tested in Hyundai’s automotive factories.
Why it matters: The race for commercial humanoids is heating up fast — and this partnership represents a major power move. But with the likes of Tesla’s Optimus, Figure’s 01 humanoids, and others in the mix, there is no shortage of rivals rushing to capture the massive potential of the emerging general-purpose robots.
NEW TOOLS & JOBS
Trending AI Tools
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QUICK HITS
Free event: The Executive Guide to Building AI Apps. Is your company ready to integrate AI into its internal and external products? Find out. RSVP here.*
ChatGPT's web traffic reached a record 3.1B visits in September 2024, according to Similarweb, representing a 112% year-over-year increase and making it the 11th most visited website globally.
Suno launched Suno Scenes, allowing users to generate songs using images or videos instead of just text prompts.
Google Public Sector announced $15M grants to upskill U.S. government workers in responsible AI with plans to train over 100,000 public sector employees across federal, state, and local levels.
OpenAI published research examining how ChatGPT responds to usernames with various genders, racial, and cultural backgrounds — finding minimal bias but some stereotypical responses in open-ended tasks like creative writing.
Fashion brand Lacoste is leveraging AI for anti-counterfeit technology, using a tool called Vrai AI to analyze tiny logo details that can uncover fakes at 99.7% accuracy.
Palantir CISO Dane Stuckey announced that he is joining OpenAI as the company’s new chief information security officer, helping to drive the ‘development of safe AGI for the world.’
*Sponsored listing
THAT’S A WRAP

AI startup under fire
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Welcome, AI enthusiasts.
The New York Times is picking a fight with AI again — and this time, search startup Perplexity is in the crosshairs.
As the legal sparks fly, the future of news and information is at stake — will there ever be a resolution to the war between AI and publishers? Let’s get into it…
In today’s AI rundown:
New York Times takes legal aim at Perplexity
Anthropic reveals major update to AI safety policy
Create video presentations with Google Vids
Meta researchers develop ‘thinking’ LLMs
6 new AI tools & 4 new AI jobs
More AI & tech news
Read time: 4 minutes
LATEST DEVELOPMENTS
PERPLEXITY
🗞️ New York Times takes legal aim at Perplexity

Image source: Midjourney
The Rundown: The New York Times just issued a cease and desist notice to AI search startup Perplexity, demanding it stop using the publisher's content without authorization.
The details:
The NYT claims Perplexity's use of its articles for AI-generated summaries violates copyright law, accusing the startup of unauthorized use of its journalism.
Perplexity reportedly previously told the publisher it would stop crawling its content, but results have continued to show up on the platform.
The startup says it's open to working with publishers and will respond to the notice by the Oct. 30 deadline.
The NYT previously sued OpenAI and Microsoft over similar concerns, and other media outlets have also accused Perplexity of misusing their content.
Why it matters: As AI-powered search continues to grow, news outlets have even greater fears—the risk of losing traffic and revenue to platforms summarizing their work. With no legal precedents decided on, this doesn’t seem like a problem going away any time soon.
TOGETHER WITH TOUCHCAST
💸 Cut your AI costs in half
The Rundown: Touchcast offers cognitive caching technology that delivers enterprise AI performance at a fraction of the cost — while enhancing efficiency and security.
With CogCache, you can:
Reduce LLM token expenses by up to 60%
Boost AI response speeds by up to 100x
Keep total control with enterprise-grade security and alignment
Get started for free and optimize your AI operations today.
ANTHROPIC
🛡️ Anthropic reveals major update to AI safety policy

Image source: Midjourney
The Rundown: Anthropic just published a significant update to its Responsible Scaling Policy, introducing new safeguards and governance measures for advanced AI systems and highlighting future benchmarks requiring additional safety protocols.
The details:
The policy introduces ‘Capability’ and ‘Required’ Thresholds to trigger enhanced safety measures when AI models reach certain risk levels.
The two new thresholds focus on AI capabilities related to bioweapons and autonomous AI research.
Anthropic emphasized the need for the risk approach to be ‘exportable,’ hoping that it will become an industry standard and help shape regulation.
Anthropic will regularly evaluate its AI models, while a ‘Responsible Scaling Officer’ role will oversee policy implementation and compliance.
The company also pledged increased transparency, including public disclosure of capability reports and external expert input.
Why it matters: Anthropic's update represents one of the most comprehensive frameworks yet for responsibly developing advanced AI and continues to cement the company’s standing as the ‘safety-focused’ lab. The move may also foreshadow some major acceleration imminent with new releases in the near future.
AI TRAINING
🎥 Create video presentations with Google Vids

The Rundown: Google Vids is a new AI-powered video creation tool that simplifies the process of recording, writing, editing, and producing videos all in one place.
Step-by-step:
Access Google Vids through your Google Drive by clicking "New" > "Google Vids" (note that it hasn’t been rolled out to every account yet).
Describe your video concept when prompted to start creating.
Customize the AI-generated outline and choose a design style for your video.
Edit and improve your video draft using built-in text, media, and audio tools.
Pro tip: Upload your own custom media by selecting "Media" in the left sidebar and then clicking "Upload." This personal touch will make your video stand out from those relying solely on stock content.
PRESENTED BY INNOVATING WITH AI
💼 Start your career as an AI Consultant
The Rundown: Innovating with AI’s new program, AI Consultancy Project, equips AI enthusiasts with all the resources to capitalize on the rapidly growing AI consulting market – which is set to 8x to $54.7B by 2032.
The program offers:
Tools and framework to find clients and deliver top-notch services
A 6-month roadmap to build a 6-figure AI consulting business
Student landing their first AI client in as little as 3 days
Click here to request early access to The AI Consultancy Project.
META
🧠 Meta researchers develop ‘thinking’ LLMs

Image source: Meta FAIR
The Rundown: Meta researchers just introduced a new method called Thought Preference Optimization (TPO) to train large language models to ‘think’ before responding to general instructions — not just reasoning tasks.
The details:
TPO prompts models to generate internal thoughts before responding to user instructions, similar to how humans think before speaking.
The AI's thoughts are kept private, with only the final answer shown to users — with the AI using trial-and-error without direct supervision to optimize outputs.
TPO outperforms standard models on key benchmarks for non-reasoning tasks like marketing and creative writing but declines in math-related tasks.
The approach builds on the recent OpenAI ‘Strawberry’ research and o1 model release, which takes time to reason.
Why it matters: Meta’s own Yann LeCun may scoff at the notion, but this method shows the potential of AI to ‘think’ for broader tasks than just math and reasoning. By allowing models to learn useful thought processes independently, TPO could also enable more capable and flexible AI assistants across a wider range of domains.
NEW TOOLS & JOBS
Trending AI Tools
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New AI Job Opportunities
🛡️ Shield AI - Quality Manager
🧠 Synthesia - Strategy and Operations Associate
🤖 UiPath - Sales Engineer II
⚙️ Palantir Technologies - Site Reliability Operations Analyst
QUICK HITS
The US government is considering capping AI chip exports from companies like Nvidia and AMD to certain countries, particularly in the Middle East, due to national security concerns.
Adobe showcased ‘Project Super Sonic’ at its MAX conference, an experimental AI tool that generates custom sound effects for videos using text prompts, object recognition, and voice imitation.
Amazon unveiled a new AI-powered creative suite for advertisers, including tools to generate video, audio, and animated image ads.
Google released its AI-powered shopping experience, featuring personalized recommendations, AI-generated product briefs, and deal-finding tools.
Apple debuted its new 7th generation iPad mini, the cheapest device ($499 base) to eventually support Apple Intelligence, which will include other AI features for writing and photo editing.
The University of Tokyo researchers revealed TANGO, an AI system that generates realistic human speakers, movements, and gestures to match audio input.
THAT’S A WRAP
Firefly takes on AI Video
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Welcome, AI enthusiasts.
Adobe’s Firefly just got a video upgrade — and unlike OpenAI’s long-awaited Sora, it’s available to everyone.
With impressive generation capabilities built right into the popular creative suite, is Adobe’s new model the trojan horse that takes AI video mainstream? Let’s get into it…
In today’s AI rundown:
Adobe unveils Firefly Video Model at MAX
OpenAI locked in legal battle with… Open AI?
Turn websites into engaging presentations
AI simulates Counter-Strike using neural network
5 new AI tools & 4 new AI jobs
More AI & tech news
Read time: 4 minutes
LATEST DEVELOPMENTS
ADOBE
🎬 Adobe unveils Firefly Video Model at MAX

Image source: Adobe
The Rundown: Adobe just announced the addition of new video generation capabilities to its Firefly AI model and Premiere Pro at the company’s MAX Conference, alongside a slew of major AI updates across its creative software ecosystem.
The details:
The new Firefly Video Model is now in limited public beta and allows users to generate video from text prompts or images in Firefly and Adobe Premiere.
Video capabilities include cinematic video, 2D and 3D animations, text graphics, b-roll, and screen effects to blend with normal footage.
The model is trained exclusively on Adobe Stock and public domain content and is designed to be ‘commercially safe.’
Premiere Pro gets Generative Extend, a Firefly-powered tool for easily extending clips, smoothing transitions, and fine-tuning edits.
Adobe also rolled out 100+ features across Creative Cloud apps, GenStudio for enterprise marketing, and Project Concept for collaborative remixing.
Why it matters: Adobe’s new model looks impressive and could be one of the first AI video systems to truly break into the mainstream with seamless inclusion in its popular creative suite. While OpenAI’s Sora STILL awaits public access, others are filling the void with powerful models — it’s getting more competitive by the day.
TOGETHER WITH INNOVATING WITH AI
💼 Start your career as an AI Consultant
The Rundown: Innovating with AI’s new program, AI Consultancy Project, equips AI enthusiasts with all the resources to capitalize on the rapidly growing AI consulting market – which is set to 8x to $54.7B by 2032.
The program offers:
Tools and framework to find clients and deliver top-notch services
A 6-month roadmap to build a 6-figure AI consulting business
Student landing their first AI client in as little as 3 days
Click here to request early access to the AI Consultancy Project.
OPENAI
🏛️ OpenAI locked in legal battle with… Open AI?

Image source: Bloomberg
The Rundown: OpenAI is reportedly involved in a trademark dispute with Guy Ravine, who owns the ‘Open AI’ (with a space) trademark and claims he conceived and pitched the idea for the initiative to major tech leaders before the company's founders.
The details:
Ravine registered the domain open.ai in March 2015 and owns the ‘Open AI’ trademark, which Sam Altman and Greg Brockman tried to purchase from him.
He alleges he pitched the concept to tech figures like Larry Page and Yann LeCun months before OpenAI's launch in December 2015.
OpenAI sued Ravine in 2023, accusing him of trying to profit from their brand, and Ravine countersued, saying the company stole his idea.
A judge dismissed much of Ravine’s countersuit in September, though he plans to refile and push for a trial.
Why it matters: This Bloomberg investigation is wild, and it’s hard to discern whether this is a case of pure delusion or the underdog getting crushed by the big corporation. As the article points out, there’s major irony in the trademark dispute, given OpenAI’s legal issues from training data and copyright complaints.
AI TRAINING
🌐 Turn websites into engaging presentations
The Rundown: Gamma's AI tool can transform any web content, including your blog posts, into professional presentations with just a few clicks.
Step-by-step:
Log in to your Gamma account (or sign up for free).
Click "+ Create new" and choose "Import file or URL."
Select "Import from URL" and paste your website’s URL.
In the prompt editor, select the amount of text, language, and AI images you prefer.
Hit "Continue" and watch your presentation come to life!
Pro tip: Choose from hundreds of themes to make your presentation pop and resonate with your target audience.
PRESENTED BY SECTION
📖 Your playbook for Enterprise AI deployment
The Rundown: Get Section's Enterprise AI Deployment Playbook in this free event and ensure your team is among the 7% seeing real productivity gains from AI.
Join Section’s CEO & COO on Oct. 24 to learn:
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How to set solid AI policies that ensure brand-safe compliance
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RSVP for free and unlock AI's full potential for your organization.
AI RESEARCH
🎮 AI simulates Counter-Strike using neural network

Image source: DIAMOND
The Rundown: Researchers from the University of Geneva, University of Edinburgh, and Microsoft developed DIAMOND, an AI model that can generate a playable simulation of Counter-Strike(CS:GO) at 10 frames per second within a neural network.
The details:
DIAMOND uses a diffusion-based approach, predicting the next frame based on previous frames and actions.
The model was trained on just 87 hours of CS:GO gameplay data, a fraction of what similar projects (like Google’s recent DOOM simulation) typically use.
Users can interact with the simulation using a keyboard and mouse, with the AI recreating elements like weapon mechanics and player interactions.
The model achieved a 46% better than human-level score on the Atari 100k benchmark, a SOTA performance for agents trained on a world model.
Why it matters: While still imperfect, DIAMOND points towards applications in robotics, autonomous systems, and virtual world creation. The ability to generate interactive, physics-based environments could revolutionize how AI is trained for real-world tasks. Plus, open-world video game creation is about to seriously level up.
NEW TOOLS & JOBS
Trending AI Tools
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🎬 Director Mode by Wondercraft - Fine-tune and direct AI voices through prompts
🔊 Audeus - Read aloud PDFs, Google Docs, email, and more using text-to-speech AI
📊 SheetBot AI - AI data analyst to visualize, summarize, and automate work
📸 PicLooks AI Avatars - Free authentic AI profile pictures for designs
New AI Job Opportunities
⚙️ Databricks - Engineering Manager
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QUICK HITS
Former OpenAI CTO Mira Murati is reportedly trying to poach OpenAI employees for a new venture just weeks after leaving the company — despite remaining an advisor.
Key Microsoft AI researcher Sebastien Bubeck departed to join OpenAI after playing a prominent role in the small, efficient Phi language models.
Google partnered with nuclear startup Kairos Power to build seven small modular reactors in the US, aiming to supply 500 megawatts of carbon-free electricity for AI data centers by 2030.
YouTube announced that creators can now leverage its AI Dream Track feature to generate soundtracks for shorts using natural language prompts directly in the app.
Gatorade launched a new promotion with Adobe allowing users to leverage Firefly’s AI models to customize squeeze bottles with unique designs.
Nvidia-backed AI cloud provider CoreWeave secured a $650M credit loan to fuel growth and announced a nearly $1B investment in U.K. AI infrastructure.
THAT’S A WRAP

Anthropic CEO predicts AI utopia
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Welcome, AI enthusiasts.
A century of scientific progress in just a decade? That’s the promise of AI, according to one industry titan.
Anthropic CEO Dario Amodei just dropped an essay forecasting a bright future where AI transforms everything — but how accurate is his prediction? Let’s get into it…
In today’s AI rundown:
Anthropic CEO drops essay on AI and the future
OpenAI unveils Swarm multi-agent framework
Plan a month of social media posts with AI
Apple: ‘No evidence of formal reasoning’ in LLMs
5 new AI tools & 4 new AI jobs
More AI & tech news
Read time: 4 minutes
LATEST DEVELOPMENTS
ANTHROPIC
🔮 Anthropic CEO drops essay on AI and the future

Image source: Dario Amodei
The Rundown: Anthropic CEO Dario Amodei just published a lengthy essay outlining an optimistic vision for how AI could transform society within 5-10 years of achieving human-level capabilities, touching on longevity, politics, work, the economy, and more.
The details:
Amodei believes that by 2026, ‘powerful AI’ smarter than a Nobel Prize winner across fields, with agentic and all multimodal capabilities, will be possible.
He also predicted that AI could compress 100 years of scientific progress into 10 years, curing most diseases and doubling the human lifespan.
The essay argued AI could strengthen democracy by countering misinformation and providing tools to undermine authoritarian regimes.
The CEO acknowledged potential downsides, including job displacement — but believes new economic models will emerge to address this.
He envisions AI driving unprecedented economic growth but emphasizes ensuring AI's benefits are broadly distributed.
Why it matters: As the CEO of what is seen as the ‘safety-focused’ AI lab, Amodei paints a utopia-level optimistic view of where AI will head over the next decade. This thought-provoking essay serves as both a roadmap for AI’s potential and a call to action to ensure the responsible development of technology.
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OPENAI
🐝 OpenAI unveils Swarm multi-agent framework

Image source: OpenAI
The Rundown: OpenAI just introduced Swarm, a new open-source experimental framework designed to simplify the creation and control of multi-agent AI systems.
The details:
Swarm focuses on making agent coordination lightweight, controllable, and easily testable through two key building blocks: agents and handoffs.
Agents encapsulate specific instructions and tools, while handoffs allow agents to transfer control of a conversation to another agent.
Swarm includes features like function calls, context variables, and streaming and is built on OpenAI’s ChatCompletions API.
The framework is available on GitHub with several examples, including a triage agent, weather agent, and airline customer service system.
OpenAI emphasized that Swarm is experimental and released as an educational resource for exploring multi-agent orchestration.
Why it matters: Not only are singular agentic capabilities inching closer — but the ability to deploy systems that leverage armies of agents working together is also coming fast. Soon, the user will be the CEO of their AI company — with dozens of agents autonomously working together on complex, multi-step tasks.
AI TRAINING
📅 Plan a month of social media posts with AI

The Rundown: Use ChatGPT to generate a strategic content plan for an entire month of social media posts.
Step-by-step:
Provide ChatGPT with key info about your brand, target audience, and content goals.
Ask it to create 8-10 content themes based on your brand strategy.
Make it fill out a monthly table with post ideas for each platform.
Adjust the plan to fit your brand's unique voice and audience preferences.
Pro tip: Export your AI-generated content calendar to a spreadsheet for easy sharing and customization with your team. Additionally, we've already devised full prompts that you can copy if you're a member of The Rundown University.
PRESENTED BY INTERCOM
📺 Watch Intercom's AI customer service summit
The Rundown: Intercom just held Pioneer - its first-ever AI customer service summit - and if you missed it, all sessions are now available on-demand.
Here’s what to expect:
Practical strategies to seamlessly integrate AI with your support team
A first look at Fin 2, Intercom’s most advanced AI Agent yet
Insights from companies who’ve successfully scaled support without adding headcount
AI RESEARCH
🤔 Apple: ‘No evidence of formal reasoning’ in LLMs

Image source: Midjourney
The Rundown: Apple researchers just published a new study revealing major limitations in the reasoning capabilities of LLMs, including those from top AI labs like OpenAI’s 4o and o1 models.
The details:
Apple scientists developed a new benchmark called GSM-Symbolic to evaluate LLMs' mathematical reasoning skills.
The study found that slight changes in the wording of questions or adding irrelevant info drastically altered model outputs, with accuracy dropping by up to 65%.
Researchers saw increased performance variability and decreased accuracy as the complexity of questions increased.
The team concluded that there was "no evidence of formal reasoning" in the models tested, suggesting that the behavior is more likely sophisticated pattern matching.
Why it matters: While there seem to be conflicting opinions on whether LLMs can truly reason, file this new research under the ‘no’ category. If these limitations hold, they expose some significant questions regarding the reliability and risks of deploying models into increasingly more complex applications.
NEW TOOLS & JOBS
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New AI Job Opportunities
QUICK HITS
Free event tomorrow: AI and Disinformation with Section and Dr. Rumman Chowdhury. How can we spot the AI fakes and slow the spread? RSVP free.*
Meta chief AI scientist Yann LeCun said that existential warnings about AI are ‘complete BS,’ arguing that the current systems are no smarter than a house cat.
TikTok announced hundreds of job cuts globally, citing a shift towards greater use of AI in its content moderation process.
AI pioneer Yoshua Bengio warned about the dangers of AI in a new interview, saying humanity is on a path to ‘creating monsters that could be more powerful than us.’
A new study from Sun Yat-sen University used Meta’s ESMFold protein-prediction tool to uncover 70,500 new RNA viruses in environmental data.
Apple reportedly plans to launch a lower-end model of its Vision headset, priced at $2,000 instead of the $3,500 Vision Pro, which has suffered from disappointing sales.
*Sponsored listing
THAT’S A WRAP

Elon Musk reveals driverless Robotaxi
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Welcome, AI enthusiasts.
Elon Musk just unveiled Tesla's $30k driverless Robotaxi, a surprise 20-person Robovan, and made bold claims about Optimus—all without a steering wheel in sight.
With prices this low and ambitions this high, are we witnessing the birth of a truly driverless era? Let's get into it…
In today’s AI rundown:
Elon Musk and Tesla unveil Robotaxi
AMD reveals next-gen AI chips
Master a new language with ChatGPT Voice
OpenAI’s new AI agent benchmark
5 new AI tools & 4 new AI jobs
More AI & tech news
Read time: 4 minutes
LATEST DEVELOPMENTS
TESLA
🚖 Elon Musk and Tesla unveil Robotaxi

Image source: Tesla
The Rundown: Elon Musk just unveiled Tesla's long-awaited Robotaxi, a futuristic two-door vehicle with gull-wing doors and no steering wheel or pedals, alongside surprise announcements for a larger Robovan and updates on the Optimus humanoid robot.
The details:
The "Cybercab" Robotaxi is set for production in 2026, priced under $30,000, with operating costs projected at 20 cents per mile.
Tesla's autonomous approach relies on AI, cameras, and extensive training data, eschewing the lidar hardware favored by competitors.
A larger self-driving Robovan was also (unexpectedly) introduced, which is reportedly capable of carrying up to 20 people.
Musk projects a future $20,000-$30,000 price range for Tesla Optimus robots, boldly claiming they'll be "the biggest product ever of any kind."
Why it matters: After years of hype, Tesla’s long-awaited, fully autonomous Robotaxi has finally been revealed — and it’s coming in HOT at an affordable price of under $30,000. With the cost of autonomous transport being so low, the Robotaxi and Robovan (when fully rolled out) could completely revolutionize transportation.
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Start using NVIDIA H100 Tensor Core GPUs now for best-in-class performance.
AMD
🚀 AMD reveals next-gen AI chips

Image source: AMD
The Rundown: AMD just launched its new lineup of AI-focused processors at the company’s Advancing AI 2024 event, showing off a range of releases aimed at competing with rivals Nvidia and Intel in the booming data center and AI chip market.
The details:
AMD unveiled the Ryzen AI PRO 300 enterprise-focused processors for AI PCs, touting 40% better performance than Intel's Core Ultra chips.
The Instinct MI325X AI accelerator, set to begin production in late 2024, boasts 1.8x higher memory capacity and 1.3x more bandwidth than Nvidia's H200 GPU.
The chipmaker revealed EPYC 5th Gen CPUs, which CEO Lisa Su called ‘the world’s best for enterprise, AI, and cloud.’
AMD also announced plans for annual AI chip releases, with the MI350X slated for late 2025 and the MI400 for 2026.
Why it matters: There seems to be no end in sight to the rapid acceleration of powerful AI processors — and while AMD is making an aggressive push against its competitors, there is likely more than enough demand for everyone (including both Jensen Huang and his cousin Lisa Su).
AI TRAINING
🗣️ Master a new language with ChatGPT Voice

The Rundown: ChatGPT’s new Advanced Voice Mode allows you to practice and improve your language skills through interactive conversations and role-play scenarios.
Step-by-step:
Download the ChatGPT app on your phone.
Craft a detailed learning prompt (similar to the one in the image above).
Tap the mic icon and speak your prompt to start the session.
Engage in conversation, asking for slower speech or repetition as needed.
Pro tip: Save effective prompts in your custom instructions for quick access and consistent practice across sessions.
PRESENTED BY BRILLIANT
🪄 Demystify AI with Brilliant
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Engaging content that makes advanced topics accessible
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Skills to tackle real-world challenges, not just theory
Try Brilliant free for 30 days and join over 10 million learners. Plus, enjoy a special discount on an annual premium subscription — exclusive to The Rundown AI readers.
AI RESEARCH
🤖 OpenAI’s new AI agent benchmark

Image source: Midjourney
The Rundown: OpenAI just introduced MLE-bench, a new benchmark designed to evaluate how well AI agents perform on real-world machine learning engineering tasks using Kaggle competitions.
The details:
MLE-bench consists of 75 curated Kaggle competitions, covering a range of ML tasks like model training, data preparation, and experimentation.
Kaggle competitions are online challenges where data scientists compete to solve complex problems using machine learning for prizes and recognition.
In research, the AI models often succeeded in applying standard techniques but struggled with tasks requiring adaptability or creative problem-solving.
The best-performing setup, OpenAI's o1-preview model with AIDE scaffolding, achieved at least a bronze medal in 16.9% of competitions.
Why it matters: AI agents are coming in hot — and new benchmarks are necessary to evaluate capabilities that blow past previous testing measures. Between OpenAI’s commentary, a flurry of startups pushing agentic capabilities, and new benchmarks being created, the AI agent revolution feels ready to explode.
NEW TOOLS & JOBS
Trending AI Tools
🗺️ Latitude - Open-source prompt engineering platform to build, evaluate, and refine prompts with AI
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💻 Handinger - An API that makes it easy and affordable to extract data from the Internet
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New AI Job Opportunities
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QUICK HITS
Chinese researchers unveiled Pyramid Flow, a new open-source AI video generation model capable of creating high-quality, 10-second clips using a new ‘pyramidal flow matching’ technique.
OpenAI Chairman Bret Taylor's AI startup Sierra is reportedly set to raise hundreds of millions in funding at a valuation of over $4B for its conversational enterprise AI agents.
Japanese AI startup Rhymes released Aria, hailed as the first open-source multimodal native Mixture-of-Experts model — offering SOTA performance across various tasks with a lightweight 3.9B parameters and 64k token context window.
Wondercraft launched a new ‘Director Mode’ feature, allowing users to control AI voices with natural language instructions and becoming the first audio platform to integrate OpenAI’s Advanced Voice Mode.
Google rolled out its Imagen 3 image generator to all Gemini users, though only Advanced subscribers ($19.99/mo) can generate images of people.
Walmart revealed new AI platforms to create hyper-personalized shopping experiences, including its Wallaby LLMs trained on the company’s data and a Customer Support Assistant that can take actions for the user.
THAT’S A WRAP
New AI model tops tool charts
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Welcome, AI enthusiasts.
The AI race just got a new dark horse contender, and they are somehow competing with the top dogs at a fraction of the size and cost.
Writer's new model is topping leaderboards and turning heads, and with new expert tool capabilities, AI agents have just taken another big step forward. Let's get into it…
In today’s AI rundown:
New model tops tool-calling leaderboard
Zoom launches new AI platform features
Add Claude Artifacts to your Cursor projects
Electronic tongue enables AI to taste
6 new AI tools & 4 new AI jobs
More AI & tech news
Read time: 4 minutes
LATEST DEVELOPMENTS
WRITER
🛠️ New model tops tool-calling leaderboard

Image source: Writer
The Rundown: AI startup Writer just introduced Palmyra X 004, an LLM that sets a new standard for action capabilities and function calling in enterprise AI — beating out top models from OpenAI and Anthropic.
The details:
Palmyra X 004 outperforms OpenAI, Anthropic, Meta, and Google models on Berkeley's Tool Calling Leaderboard, leading by nearly 20% accuracy.
The model offers a 128k context window, supports over 30 languages, and handles multimodal inputs (text, images, audio).
Palmyra can interact with external tools via tool calling, enabling it to perform tasks like updating databases, sending emails, triggering workflows, and more.
The 150B parameter model was trained on synthetic data, which the company said significantly reduced costs compared to the top AI labs.
Why it matters: As companies race to integrate AI, models that can take concrete actions rather than just provide information are in high demand. Palmyra X 004's impressive skills could give Writer a new edge in the enterprise AI market and also serve as an example that not all top models require massive computing resources.
TOGETHER WITH PILLAR SECURITY
🛡️ Expose GenAI attack threats
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Key attack patterns disrupting GenAI applications
Adversaries' objectives and motivations
Real-world attacks, including jailbreak methods and outcomes
Technical insights and forecasts for 2025
Download the full report for free and protect your AI infrastructure today.
ZOOM
🗣️ Zoom launches new AI platform features

Image source: Zoom
The Rundown: Zoom just unveiled a suite of new AI-driven innovations to its platform at its Zoomtopia 2024 event, including AI companion 2.0, a custom AI add-on plan, personalized avatars, and more.
The details:
Companion 2.0 is an AI assistant that works across Zoom Workplace, offering expanded context, web access, and the ability to take agentic-type actions.
Zoom Tasks is a new AI-powered feature to help detect, recommend, and complete tasks based on conversations across Zoom Workplace.
Custom AI avatars will become available in Zoom Clips in 2025, with the ability to create video content from text scripts.
Zoom founder Eric Yuan previously said that AI avatars will eventually be capable of attending Zoom meetings and making decisions on a user’s behalf.
Why it matters: Zoom says it wants to overhaul work in the digital age, and these announcements point to a new AI-driven world of interconnected tools and workflows. While avatars attending meetings and acting on your behalf might sound wild now, the work landscape is about to be turned upside down as AI continues to grow and scale.
AI TRAINING
🤖 Add Claude Artifacts to your Cursor projects

The Rundown: With this AI tool trick, developers can incorporate Claude-generated Artifacts into Cursor projects to significantly speed up development workflows.
Step-by-step:
Generate your desired component or code snippet using Claude AI.
Set up a new Next.js project in Cursor using “npx create-next-app@latest”.
Use Composer (Cmd+I or Ctrl+I) to incorporate the Claude artifact. Type “@codebase” for context.
Review changes and use AI chat (Cmd+L or Ctrl+L) to fix any issues.
Test your integration with “npm run dev.”
Pro tip: Use Cursor's AI capabilities to resolve integration issues quickly. Simply highlight problematic code and ask the AI for a fix!
PRESENTED BY GALILEO
🔧 Build with the best in GenAI
The Rundown: Galileo’s GenAI Productionize 2.0 is a free virtual summit that brings together industry pioneers to explore how to effectively implement generative AI at enterprise scale.
At the conference, you'll:
Discover actionable strategies for productionizing GenAI
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Dive into techniques for AI evaluation and real-time observability
Register now for free and secure your spot for October 29th!
AI RESEARCH
👅 Electronic tongue enables AI to taste

Image source: Midjourney
The Rundown: Scientists at Penn State just created an AI-powered 'electronic tongue' that can identify subtle differences in liquids, detect food spoilage, and gain broader insights into AI’s decision-making processes.
The details:
The electronic tongue combines a special sensor with an AI modeled after the human brain's taste center, enabling it to ‘taste’ liquids.
The tongue can ID differences in similar liquids like watered-down milk, sodas, coffee, and spoiled fruit juices with over 80% accuracy in about a minute.
When the AI was allowed to interpret the sensor data on its own terms, it achieved over 95% accuracy in identifying the samples.
Researchers also used methods to examine the AI's thought process, helping understand how it weighs different pieces of information to make decisions.
Why it matters: AI achieved some serious sensory upgrades this year, from vision and hearing capabilities to humanoid robotic touch — and now, add taste to the list. This research has major applications for food safety and quality control and could shed light on the inner workings of AI decision-making in a brand new way.
NEW TOOLS & JOBS
Trending AI Tools
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📢 Adsby 2.0 - Quick, actionable insights on Google Ads using AI
🗣️ Wispr Flow - Write 3x faster using your voice
🤳 Cooraft - Turn a selfie into professional portrait videos
New AI Job Opportunities
📊 Twelve Labs - Data Analyst
🤖 Mistral AI - Machine Learning Engineer
🛡️ Palantir Technologies - Physical Security Specialist
📱 Weights & Biases - Social Media Manager
QUICK HITS
1 Hour to AI Proficiency. Join Section’s free workshop focused on getting you AI confident and prompting proficient over your lunch break. Register.*
Google DeepMind’s Demis Hassabis and John Jumper were co-awarded a Nobel Prize in chemistry for their work on AlphaFold, an AI system that can predict and design protein structures.
Amazon introduced AI Shopping Guides for over 100 product types, leveraging generative AI to streamline product research and offer tailored recommendations within its U.S. app and mobile website.
Chinese startup MiniMax’s Hailuo AI launched a new image-to-video feature, alongside new style controls and enhanced processing and control.
Meta expanded Meta AI to six new countries, including the EU, and is rolling it out internationally in Ray-Ban Meta smart glasses — though the EU will be excluded from multimodal capabilities due to regulatory issues.
Stripe announced expanding its partnership with NVIDIA, enabling global access to NVIDIA’s AI cloud services and leveraging the chipmaker’s platform for improved fraud detection.
*Sponsored listing
THAT’S A WRAP
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