The main cover was created with GPT-Image-1, Magnific, and Photoshop. I gave GPT an image from Rocky IV and another image of a Figure 02 robot. The prompt was "Can you replace Rocky with this Figure 02 robot? Keep the triumphant emotional elements and composition otherwise. Photorealistic. Landscape." I upscaled it with Magnific and added the text with Photoshop. I tried MidJourney, since it was my old favorite original image tool. No luck. For tasks like this, GPT is simply too easy.

AI News #92: Week Ending July 04, 2025 with 24 Executive Summaries, Top 72 Links, and 3 Helpful Visuals

July 5, 2025

About This Week’s Covers

This week’s newsletter category covers are a nod to the 4th of July holiday.

The main cover was created with GPT-Image-1, Magnific, and Photoshop. I gave GPT an image from Rocky IV and another image of a Figure 02 robot. The prompt was “Can you replace Rocky with this Figure 02 robot? Keep the triumphant emotional elements and composition otherwise. Photorealistic. Landscape.” I upscaled it with Magnific and added the text with Photoshop. I tried MidJourney, since it was my old favorite original image tool. No luck. For tasks like this, GPT is simply too easy.

For the rest of the covers, I used my now four-week-old GPT o3 rubric that can automatically adapt to any theme I give it. I can provide a one-sentence theme, and o3 automatically generates 46 cover images using the API with no supervision. All of the ideas and compositions come from GPT on its own. My prompt this week was “the 4th of July American holiday. Rich red white and blue colors. Vibrant, classic, traditional, and authentic symbols and motifs. Photorealism.” Everything else was automated. It’s not an attempt to be amazing quality, but instead to see how creative GPT can be without any help.

A few turned out pretty well! I’ve included my favorite six of the covers below:

This Week By The Numbers

Total Organized Headlines: 444

This Week’s Executive Summaries

The week ending July 4th had 24 stories that merit an executive summary.

First, let’s talk about job impacts:

Salesforce CEO Marc Benioff announced that AI is now performing half of the company’s workload at a 93% accuracy rate.

Microsoft released a memo stating that using AI is no longer optional at work.

A new survey found that 60% of teachers are now using AI tools to help them save almost 6 hours a week while also improving the quality of their teaching. There’s a notable divide among attitudes towards AI in education, with teachers who have used AI tools viewing them positively, and those who have never tried them viewing them negatively. Perhaps those teachers should teach a module about Dunning Kruger.

Google is making its Gemini in classroom suite available to all educators at no cost, providing over 30 AI-powered features to help teachers create content, lesson plans, quizzes, and custom materials for students with different needs.

A Thompson Reuters survey found that 53% of legal and accounting firms are generating profits from AI implementations.

Entry-level job postings in the United Kingdom have dropped 32% since ChatGPT launched in 2022 (according to a job search site, Adzuna, which I’ve never heard of, to be fair).

A legal AI assistant company called Legora made the radar this week with an introduction of a product called workflows (the same exact name as the product from competing firm Harvey). This allows the automation of due diligence document analysis and legal research using natural language commands. It seems like a harbinger of the end of the paralegal era.

Writing assistant company Grammarly is acquiring email automation provider Superhuman to combine writing assistance with email management for automating transactional communication.

There were several notable science stories:

Neuralink has expanded its brain computer interface trials to seven patients – up from three just four months ago.

Researchers have developed an artificial intelligence system that can detect Parkinson’s disease by analyzing short videos of people smiling, achieving 88% accuracy.

Mayo Clinic researchers have created an artificial intelligence tool that can identify nine different types of dementia from a single brain scan.

Microsoft researchers developed an AI diagnostic system that correctly solved 85% of complex medical cases from the New England Journal of Medicine compared to just 20% accuracy achieved by experienced physicians.

The Olympics are implementing artificial intelligence across quite a few areas of the coming winter Olympics. One interesting use case will be an AI model managing the schedule by adjusting to weather and snow conditions automatically, instead of manual processes that used to take days to complete. AI systems are also coordinating transportation, security, and staffing. Broadcast partners during the last games used AI to transform 11,000 hours of footage into 97,000 highlight clips. Alibaba and Omega are using depth and segmentation (two great terms to know!) to track athlete movements and give biomechanical analysis.

Oracle and OpenAI have signed an agreement, as part of their Stargate project, to develop a data center with 4.5 gigawatts capacity in the United States.

There was quite a bit of robot news:

Amazon deployed its 1 millionth robot across 300 facilities worldwide and developed an AI system that manages robot movements and can reduce robot travel time by 10%.

Tesla achieved a milestone by delivering a model Y completely autonomously from its Austin factory to a customer’s home with no human driver or remote operation controlling the vehicle at any point during the 30 minute journey.

Researchers from UC Berkeley developed a system that enables humanoid robots to translate verbal instructions into physical actions quickly. With just 150 simulations for any action, the system can create an 80% success rate.

As you might expect there is quite a bit of publisher news happening out there:

ElevenLabs released a new tool that creates custom synthetic voices that are extremely dynamic and might be putting the voiceover professional out of work. These are worth checking out as they are very dynamic and have the ability to be guided to match the timbre and enthusiasm of the script.

Internet infrastructure company, Cloudflare, introduced a system that can require AI companies to pay website owners before scraping content. The company handles about 20% of Internet traffic and now blocks AI crawlers by default.

With so many lawsuits happening now between publishers and frontier model companies, open source repository, HuggingFace has created a convenient resource that lists all of the ongoing lawsuits and the decisions as they are released.

Despite the negative press around Meta’s training practices, Facebook’s app is now defaulting to granting access to the camera roll so that Facebook can automatically create AI versions of photos, including ones that have not been uploaded to the platform. Even I might turn that one off, LOL.

Continuing from last week’s news, Meta has now officially established their super intelligence lab division hiring at least 11 researchers from AI companies, including OpenAI Google and Anthropic. These 11 hires have been offered compensation packages worth up to $300 million each with at least one recruit’s first year compensation exceeding $100 million!

Andrej Karpathy made a great point that local models are making significant inroads and will soon be the bridge between devices in the cloud, small models can process text, images, and audio, and then hook into external tools as needed. Indeed, the past few weeks have been full of incredible small model announcements like Google’s Gemma.

Speaking of that, Nvidia released an 8 billion parameter vision model designed for document processing and character recognition. This can extract and understand information from complex documents, like PDFs, images, tables, charts, formulas, and diagrams. It will be great for automating workflows in finance healthcare and law firms. These models will also help with things like invoice processing and compliance. I personally cannot wait for red tape to disappear as much as possible.

Those are the big stories from the week ending in July 4th.

I always write this top portion by hand (but I do run it through Claude as a grammar checker). Also, I read and organize all of the links manually (it takes almost 10 hours per week) because there is no shortcut to doing the work.

This week’s old school humanities reading is “This is Water” by David Foster Wallace.

Full Executive Summaries with Links, Generated by Claude Opus 4

Salesforce CEO says AI now handles half of company’s work
Salesforce CEO Marc Benioff announced that artificial intelligence is performing between 30% and 50% of the company’s workload, with the technology achieving about 93% accuracy. The shift represents what Benioff calls a “digital labor revolution,” where AI takes over routine tasks while employees move to higher-value work. This transformation has already led to over 1,000 job cuts at Salesforce earlier this year as the company restructured around AI capabilities. Other tech companies are following similar paths, with Klarna reducing its workforce by 40% and Amazon planning to use AI to reduce roles. Benioff noted that while 93% accuracy is “pretty good,” reaching 100% isn’t realistic, and he believes Salesforce has an advantage over competitors due to having more data to train its AI systems.

AI is doing up to 50% of the work at Salesforce, CEO Marc Benioff says https://www.cnbc.com/2025/06/26/ai-salesforce-benioff.html

Microsoft tells employees AI skills are now mandatory workplace requirement
Microsoft has declared artificial intelligence a core workplace competency alongside collaboration and communication skills, according to an internal memo stating that “using AI is no longer optional.” The company faces complications in its OpenAI partnership as OpenAI considers acquiring Windsurf, a move that would trigger Microsoft’s existing rights to Windsurf’s intellectual property. While Microsoft employees can use non-Microsoft AI assistants that pass security reviews, company leadership is pushing for internal tools that provide usage data back to Microsoft, reflecting the tech giant’s determination to control its AI ecosystem amid growing competition.

Microsoft Internal Memo: ‘Using AI Is No Longer Optional.’ AI now sits beside collaboration and communication as a core competency. Competitive pressure spills into Microsoft’s talks with OpenAI. OpenAI may buy Windsurf, yet Microsoft’s existing deal would grant it Windsurf intellectual property, causing friction. Internally, employees can still choose external assistants that clear security checks, but leaders want usage telemetry pointing back to Microsoft products.https://x.com/rohanpaul_ai/status/1938937913083150719

Teachers using AI save nearly 6 hours weekly, survey shows
A new Gallup and Walton Foundation survey reveals that approximately 60% of teachers are now using AI tools in their work, with those educators reporting an average time savings of 5.9 hours per week while also improving the quality of their teaching. The survey found a notable divide in attitudes toward AI in education: teachers who have actually used AI tools view them positively, while those who have never tried them tend to hold more negative opinions about the technology’s role in the classroom.

New national survey of teachers by Gallup & the Walton Foundation finds that teachers who use AI (about 60% of all teachers) report saving 5.9 hours a week as a result & improving quality, too. Also, teachers who use AI like it (teachers who have never used it are more negative) https://x.com/emollick/status/1938396328507363648

Google expands free AI tools for educators with Gemini in Classroom
Google is making its Gemini in Classroom suite available to all educators with Google Workspace for Education accounts at no cost, providing over 30 AI-powered features to help teachers create content, generate lesson plans, and customize materials for different student needs. The platform allows educators to quickly produce quizzes, rubrics, and teaching resources while also introducing teacher-led AI experiences for students through NotebookLM and Gems, which create interactive study guides and custom AI tutors based on classroom materials. Additionally, Google is adding analytics features to track student progress against learning standards, offering insights into student performance and engagement to help teachers identify who needs extra support. Early pilot participants report significant time savings, with teachers praising the tools as helpful teaching assistants that streamline planning and enable more inclusive classrooms.

Gemini in Classroom: No-cost AI tools that amplify teaching and learning https://blog.google/outreach-initiatives/education/classroom-ai-features/

Thomson Reuters survey reveals half of professional firms are benefiting from AI
A Thomson Reuters survey found that 53% of legal, audit, and accounting firms are already generating profits from artificial intelligence implementations. The survey showed that even companies taking informal approaches to AI adoption – without formal strategies or dedicated teams – reported positive returns on their investments. This suggests that professional service firms can benefit from AI technology regardless of their implementation approach, though the survey indicates that more structured adoption may yield better results. The findings demonstrate that AI has moved beyond experimental phases in these traditionally conservative industries, with over half of firms successfully turning their AI investments into measurable financial gains.

⚡️ Thomson Reuters survey finds 53% of legal, audit, and accounting firms already profit from AI; Even ad-hoc adopters saw ROI Source: fortune .com/2025/07/01/ai-lawyers-accountants-auditors-lessons-for-us-all/ https://x.com/rohanpaul_ai/status/1940349733555630101

UK entry-level job openings fall sharply after ChatGPT launch
Entry-level job postings in the UK have dropped 32% since ChatGPT launched in November 2022, according to job search site Adzuna. The decline includes graduate positions, apprenticeships, internships, and junior roles that don’t require degrees, with these jobs now making up 25% of the market compared to 28.9% in 2022. Major companies like BT and Klarna are using AI to handle tasks previously done by humans, with some executives predicting AI could eliminate half of entry-level office jobs within five years. While the International Monetary Fund estimates 60% of jobs in advanced economies face AI exposure, there’s ongoing debate about whether the technology will ultimately create more jobs than it destroys. Workers with AI skills are commanding significantly higher salaries, earning 56% more than those without such expertise, suggesting adaptation to the technology may be crucial for career success.

Number of new UK entry-level jobs has dived since ChatGPT launch – research – Vacancies for graduate jobs, apprenticeships, internships and junior jobs with no degree requirement have dropped 32%, Adzuna finds | Economics | The Guardian https://www.theguardian.com/business/2025/jun/30/uk-entry-level-jobs-chatgpt-launch-adzuna

Legora launches AI workflows for automating complex legal tasks
Legora has introduced Workflows, an AI system that allows legal teams to automate multi-step processes like due diligence, document analysis, and legal research using natural language commands. The platform combines various tools including drafting, review, extraction, and search capabilities into connected systems that can reason through tasks step-by-step. Unlike traditional workflow automation, Legora’s system incorporates law firms’ specific expertise, templates, and standards directly into the workflows, allowing teams to maintain their unique practices while scaling their operations. The platform enables users from associates to partners to build custom workflows without technical expertise, with examples including internal compliance reviews that check documents against company standards and supplier agreement analyses that identify key terms and risks.

Introducing Workflows: a powerful new way to orchestrate complex legal tasks – a market-first leap in legal automation. https://legora.com/product/workflows

Grammarly acquires email app Superhuman to expand AI productivity tools
Grammarly announced its acquisition of Superhuman, the AI-powered email application known for its speed and efficiency features. The deal aims to combine Grammarly’s writing assistance technology with Superhuman’s email management capabilities, creating a more comprehensive productivity platform. The acquisition reflects a broader trend of AI companies consolidating to offer integrated workplace tools rather than standalone applications. Superhuman, which charges $30 per month and has attracted a devoted user base among executives and professionals, will continue operating as a separate product while its technology gets incorporated into Grammarly’s suite. The move positions Grammarly to compete more directly with Microsoft and Google in the AI-powered productivity space, as companies race to embed artificial intelligence into everyday work applications.

Grammarly to Acquire Superhuman to Accelerate Its AI Productivity Platform https://www.businesswire.com/news/home/20250630889937/en/Grammarly-to-Acquire-Superhuman-to-Accelerate-Its-AI-Productivity-Platform

This is the future we’ve been building toward since day one: AI that works where people work, not just where companies want them to work. Email is the perfect staging ground for managing multiple AI agents simultaneously X https://x.com/shishirmehrotra/status/1940078100970189169?s=46

ElevenLabs launches text-to-voice generator with expanded language support
ElevenLabs has released Voice Design v3, a tool that creates custom synthetic voices from written descriptions. Users can type prompts describing the voice characteristics they want, and the system generates a unique voice that can speak in over 70 languages with hundreds of regional accents. The company rebuilt its core technology to improve voice quality and emotional range, making the generated voices suitable for professional audio production. This development allows content creators, app developers, and businesses to create distinctive voices for their projects without hiring voice actors or using pre-made voice options.

AI Voice Design – Generate Unique Voices from Text Prompts | ElevenLabs https://elevenlabs.io/voice-design

Voice Design v3 is here. Create any voice you can imagine with a prompt. We’ve rebuilt the underlying Voice Design model to deliver higher quality and broader expressive range. Generate production-ready voices in 70+ languages with support for hundreds of localized accents. https://x.com/elevenlabsio/status/1937912222128238967

Seven people now have Elon Musk’s brain implant from Neuralink
Neuralink has expanded its brain-computer interface trials to seven patients, up from three in February 2025, with six participating in the PRIME study at Barrow Neurological Institute in Phoenix. The N1 implant, installed through robotic surgery that drills into the skull, allows people with paralysis or ALS to control computers with their thoughts via Bluetooth connection. Patients can move cursors, type, browse the web, and play video games purely through thinking, with the first patient reporting 90% accuracy in cursor control. The company plans major expansions including speech decoding by late 2025, increasing electrode count from 1,000 to 25,000 by 2028, and enabling multiple implants for different brain functions. Recent demonstrations show two patients playing Call of Duty together using only their thoughts, marking significant progress in the technology’s capabilities for helping people with severe disabilities regain independence.

7 People Now Have Elon Musk’s Neuralink Brain Implant | PCMag https://www.pcmag.com/news/7-people-now-have-elon-musks-neuralink-brain-implant

Neuralink now implanted chips on 7 individuals. The Implantation Intervals Drop Sharply: From 6 Months to Just a Week : r/singularity https://www.reddit.com/r/singularity/comments/1lm2vnv/neuralink_now_implanted_chips_on_7_individuals/

NEWS: Neuralink has released what their product evolution will look like in the next few years. Highlights: • Q3 2025: They are planning to implant directly into the speech cortex to directly decode attentive words from brain signals to speech. • 2026: Triple number of electrodes from 1,000-3,000 for more capabilities. Planning on having first blindsight participant to enable navigation. 2027: Triple number of electrodes again to 10,000. Enable for the first time multiple implants (motor cortex, speech cortex, visual cortex). 2028: Get to 25,000 channels per implant. Have multiple of these. Have ability to access any part of the brain for psychiatric conditions, pain, and also start to demonstrate what it would be like to innovate with AI. https://x.com/SawyerMerritt/status/1938651506531574057

Woah! Two people playing Call of Duty using their minds. Neuralink is getting good. https://x.com/bilawalsidhu/status/1938662975226654933

Olympics integrate AI systems for logistics and broadcasting improvements
The International Olympic Committee is implementing artificial intelligence across multiple areas of Games operations, starting with the upcoming Winter Olympics in Italy. AI models will manage complex scheduling by automatically adjusting to weather changes and snow conditions, replacing manual processes that previously took days. For the 2028 Los Angeles Summer Games, which will span over 30 venues across Southern California, AI systems will coordinate transportation, security, staffing, and supplies to prevent delays and crowd congestion. Broadcasting has already demonstrated significant benefits, with recent Games using AI to transform 11,000 hours of footage into 97,000 highlight clips and reduce 3D replay rendering from 20 minutes to seconds. Technology partners Alibaba and Omega currently track detailed athlete movements in select events, with plans to expand real-time biomechanical analysis across all Olympic sports.

Olympics Organizers are embedding AI deep into logistics. For the coming Winter Games, models will juggle shifting snow forecasts and auto-refit schedules that once needed days of spreadsheets. Summer hosts face 30+ venues across an entire region. AI will sync transport, security, staffing and inventory so events start on time and fans move without gridlock. Broadcasting already shows the payoff. Last Games captured 11k hours then turned them into 97k highlight clips. Multi-camera 3-D replays render in seconds instead of 20 minutes, giving directors true live control. Alibaba and Omega already track footwork between hurdles; planners aim to widen such real-time biomechanics to every sport. https://x.com/rohanpaul_ai/status/1939256779080110366

Olympics prepare big AI plans for Italy next winter and L.A. in 2028 https://www.axios.com/2025/06/27/olympics-ai-broadcasts-training

AI tool screens for Parkinson’s disease by analyzing smile videos
Researchers developed an artificial intelligence system that can detect Parkinson’s disease by analyzing short videos of people smiling, achieving 87.9% accuracy in a study of 1,452 participants. The tool works by measuring subtle changes in facial muscle movement that occur with Parkinson’s, offering a potential low-cost screening method that people could use from home. With 90,000 Americans expected to be diagnosed with Parkinson’s this year and limited access to specialists in many areas, the technology could help identify the disease earlier, particularly in rural and underserved communities. The research team tested their system on diverse populations in North America and Bangladesh, finding it maintained high accuracy across different groups, though further validation is needed before it could be used clinically.

This New Test Could Diagnose Parkinson’s With AI – Newsweek https://www.newsweek.com/this-new-test-could-diagnose-parkinsons-ai-2092050

Mayo Clinic develops AI that identifies nine dementia types from brain scans
Mayo Clinic researchers have created an artificial intelligence tool that can identify nine different types of dementia, including Alzheimer’s disease, from a single brain scan. The AI system analyzes MRI images to detect patterns that distinguish between various forms of dementia, which traditionally require multiple tests and specialist evaluations to diagnose. The tool demonstrated high accuracy in clinical testing and could help doctors diagnose dementia earlier and more precisely, allowing patients to receive appropriate treatment sooner. This development addresses a significant challenge in neurology, as different types of dementia require different treatment approaches, but early symptoms often appear similar, making accurate diagnosis difficult without extensive testing.

Mayo Clinic’s AI tool identifies 9 dementia types, including Alzheimer’s, with one scan – Mayo Clinic News Network https://newsnetwork.mayoclinic.org/discussion/mayo-clinics-ai-tool-identifies-9-dementia-types-including-alzheimers-with-one-scan/

Microsoft AI system diagnoses complex medical cases better than doctors
Microsoft researchers have developed an AI diagnostic system that correctly solved 85% of complex medical cases from the New England Journal of Medicine, compared to just 20% accuracy achieved by experienced physicians. The Microsoft AI Diagnostic Orchestrator (MAI-DxO) works like a virtual panel of doctors, asking follow-up questions and ordering tests to reach diagnoses while using fewer resources than human doctors. The system was tested on 304 challenging cases that typically require multiple specialists, demonstrating that AI can combine both broad medical knowledge and deep expertise in ways individual doctors cannot. While promising for reducing healthcare costs and improving diagnoses, the researchers note the system needs real-world clinical testing and proper regulatory approval before any broader use.

The Path to Medical Superintelligence | Microsoft AI https://microsoft.ai/new/the-path-to-medical-superintelligence/

Oracle and OpenAI expand partnership with massive 4.5 gigawatt data center agreement
Oracle and OpenAI have signed an additional agreement as part of their Stargate project to develop 4.5 gigawatts of data center capacity in the United States. This expansion represents a significant increase in computing infrastructure to support artificial intelligence workloads, with the power capacity equivalent to what’s needed to supply millions of homes. The deal strengthens the collaboration between the cloud computing giant and the AI company behind ChatGPT, as both companies race to build the physical infrastructure necessary to train and run increasingly powerful AI models that require enormous amounts of electricity and computing resources.

Oracle, OpenAI Ink Additional Stargate Deal for 4.5 Gigawatts of US Data Center – Bloomberg https://www.bloomberg.com/news/articles/2025-07-02/oracle-openai-ink-stargate-deal-for-4-5-gigawatts-of-us-data-center-power?embedded-checkout=true

Amazon reaches one million robots while launching AI traffic system
Amazon has deployed its one millionth robot across 300 facilities worldwide and introduced DeepFleet, an AI system that manages robot movements like a traffic control system for cities. The new AI model reduces robot travel time by 10 percent, allowing faster package delivery and lower costs by coordinating how robots navigate fulfillment centers and avoiding congestion. Since starting with a single robot type in 2012, Amazon now operates various models including Hercules robots that lift 1,250 pounds and Proteus, their first fully autonomous mobile robot that safely works alongside humans. The company has trained over 700,000 employees in technical skills since 2019, with their advanced facilities requiring 30 percent more workers in engineering and maintenance roles.

Amazon deploys over 1 million robots and launches new AI foundation model https://www.aboutamazon.com/news/operations/amazon-million-robots-ai-foundation-model

Tesla completes first autonomous vehicle delivery from factory to customer
Tesla achieved a milestone by delivering a Model Y completely autonomously from its Austin Gigafactory to a customer’s home, with no human driver or remote operator controlling the vehicle at any point during the 30-minute journey. The car navigated highways, parking lots, and residential neighborhoods entirely on its own, marking what Tesla claims is the first fully autonomous delivery of its kind. While this demonstrates progress in Tesla’s Full Self-Driving technology, the company’s robotaxi service still requires safety monitors in passenger seats and has experienced several safety issues including crossing into oncoming traffic lanes. The achievement comes as entry-level jobs in various industries face significant declines due to AI automation, with UK openings dropping 32% since ChatGPT’s launch, while companies like Meta continue aggressive AI talent acquisition from competitors like OpenAI.

Autonomous Tesla Delivery | Full Drive – This Tesla drove itself from Gigafactory Texas to its new owner’s home ~30min away — crossing parking lots, highways & the city to reach it’s new owner. The first autonomous vehicle delivery of its kind in the world. YouTube https://www.youtube.com/watch?v=lRRtW16GalE

Tesla achieves autonomous car delivery https://www.theaivalley.com/p/tesla-achieves-autonomous-car-delivery-861aa4ba652cf75d

Tesla says it delivered its first car autonomously from factory to customer. It was a significant milestone, but still highlights shortcomings in the company’s tech. | The Verge https://www.theverge.com/news/694801/tesla-autonomous-delivery-factory-customer-robotaxi

Humanoid robots learn to follow visual and language instructions for complex movements
Researchers from UC Berkeley and other universities have developed LeVERB, a system that enables humanoid robots to perform whole-body movements based on visual input and natural language commands. The system works by translating instructions like “sit on the chair” or “walk to the door” into physical actions, using a two-part architecture: one component interprets the visual scene and language instruction into a simplified action code, while another component converts this code into the actual robot movements. Trained on just 154 simulated demonstrations, LeVERB achieved an 80% success rate on navigation tasks and 58.5% overall success across 150 different tasks in simulation. The breakthrough addresses a key limitation in robotics where previous systems could only handle simple, pre-programmed movements rather than dynamic whole-body control, bringing humanoid robots closer to understanding and executing complex human-like behaviors in real environments.

Real and Sim Demos Diverse Humanoid Behavior Conditioned on Visual-Language https://ember-lab-berkeley.github.io/LeVERB-Website/

(6/9) Generalization: LeVERB sees “take a seat”, “sit down”, or “sit on blue chair” and knows they mean the same thing. It also reasons about space: if the chair is in front, it turns first, then sits. https://x.com/HaoruXue/status/1937216472872550894

Cloudflare launches pay-per-crawl system for AI web scrapers
Cloudflare has introduced a new system that requires AI companies to pay website owners before scraping their content, marking a major shift in how online data is collected. The web infrastructure company, which handles about 20 percent of internet traffic, now blocks AI crawlers by default for all new customers and allows existing users to set prices for access to their content. This change comes as traditional web traffic from search engines declines while AI tools increasingly use website content to generate answers without sending visitors to the original sources. Publishers and content creators have complained that AI companies freely copy their material without permission or payment, threatening the incentive to create new content online. The system is currently being tested with select publishers who can choose which AI bots to allow and at what price, while some critics worry it could harm legitimate web archiving efforts and fragment access to online information.

🎉 Big news – Cloudflare’s new pay per crawl model is here! This permission-based approach for AI content scraping empowers creators to control and monetize their content, ensuring fair compensation and building a sustainable future for original work online. Learn more: https://x.com/Cloudflare/status/1940063055368298617

Cloudflare Introduces Blocking of A.I. Scrapers By Default – The New York Times https://www.nytimes.com/2025/07/01/technology/cloudflare-ai-data.html

Content Independence Day: no AI crawl without compensation! https://blog.cloudflare.com/content-independence-day-no-ai-crawl-without-compensation/

if you block AI from accessing your content, there will be no one left to read it. to elaborate: the future of search is lightweight research agents. a lot of businesses are already seeing significant traffic come from ChatGPT. if you block AI scrapers, i will never read your content because o4-mini-high will send me to your competitor’s website”” / X https://x.com/vikhyatk/status/1940227029389255109

Pay up or stop scraping: Cloudflare program charges bots for each crawl – Ars Technica https://arstechnica.com/tech-policy/2025/07/pay-up-or-stop-scraping-cloudflare-program-charges-bots-for-each-crawl/

this appears to block common crawl too. congrats everyone we’ve burned the commons to the ground. we can all go home now. there will never be a public archive of the internet again https://x.com/inerati/status/1940076601456078941

Exclusive: Google’s AI Overviews hit by EU antitrust complaint from independent publishers | Reuters https://www.reuters.com/legal/litigation/googles-ai-overviews-hit-by-eu-antitrust-complaint-independent-publishers-2025-07-04/

AI companies face growing wave of copyright lawsuits from creators
Major AI companies including OpenAI, Meta, and Anthropic are defending against multiple lawsuits from authors, artists, and media organizations who claim their copyrighted work was used without permission to train AI models. The cases, which could reshape how AI systems are developed, center on whether using copyrighted material for AI training falls under “fair use” or requires licensing agreements. Publishers like The New York Times and Getty Images seek billions in damages, while some companies have started signing content deals to avoid litigation. Courts have yet to establish clear precedent, though early rulings suggest AI companies may need to prove their training methods qualify as transformative use rather than simple copying.

ai-copyright-lawsuits – a Hugging Face Space by fdaudens https://huggingface.co/spaces/fdaudens/ai-copyright-lawsuits

Three big AI copyright updates this week alone. Tracking it all is getting almost impossible! That’s why @BrigitteTousi and I built this interactive tracker to keep you up to date (Prototyped in minutes with DeepSite!) https://huggingface.co/spaces/fdaudens/ai-copyright-lawsuits

Facebook requests access to users’ camera rolls for AI photo editing
Facebook is asking users to grant access to their phone’s camera roll so it can automatically create AI-edited versions of their photos, including ones that haven’t been uploaded to the platform. The feature appears when users create Facebook Stories, prompting them to enable “cloud processing” for creative suggestions like collages, recaps, and AI restylings. By agreeing, users allow Facebook to continuously upload photos from their camera roll to its servers based on time, location, or themes. The company says it will analyze images including facial features using AI, though it claims the photos won’t be used for ad targeting and only users can see the suggestions. The feature, currently being tested in the U.S. and Canada, can be disabled in Facebook’s settings under “Camera roll sharing suggestions.” Privacy advocates have raised concerns about the unclear terms users are agreeing to and the extent of personal data being shared with Meta’s AI systems.

Facebook is asking to use Meta AI on photos in your camera roll you haven’t yet shared | TechCrunch https://techcrunch.com/2025/06/27/facebook-is-asking-to-use-meta-ai-on-photos-in-your-camera-roll-you-havent-yet-shared/

Facebook is now inputting your photos into Meta AI automatically by default : r/assholedesign https://www.reddit.com/r/assholedesign/comments/1lkz8t9/facebook_is_now_inputting_your_photos_into_meta/

Meta launches new AI research group with major OpenAI talent acquisitions
Meta has established a new Superintelligence Labs division, hiring at least 11 researchers from leading AI companies including OpenAI, Google, and Anthropic. The group will be led by Alexandr Wang, formerly of Scale AI, and Nat Friedman, former GitHub CEO. According to reports, Meta has been offering compensation packages worth up to $300 million over four years to attract top AI talent, with first-year compensation exceeding $100 million in some cases. The aggressive recruiting effort comes after Meta’s Llama 4 models reportedly underperformed expectations. OpenAI CEO Sam Altman responded to the talent exodus in an internal memo, stating that “missionaries will beat mercenaries” and suggesting that Meta’s approach could create cultural problems. He emphasized that while Meta had recruited some talented individuals, they had to go “quite far down their list” and failed to attract OpenAI’s top researchers. The moves signal an intensifying competition among tech giants to secure AI research talent as companies race to develop more advanced artificial intelligence systems.

In my opinion, Meta has been the most impactful big tech company in AI thanks to the open release of Llama that changed the field and helped them catch up to the frontier in record times! I suspect they’ll be able to 100x their impact thanks to the addition of @alexandr_wang”” / X https://x.com/ClementDelangue/status/1940048909989986483

Mark Zuckerberg officially introduced Meta Superintelligence Labs to employees The group has 11 hires from OpenAI, Google, Anthropic, Seasame and will be led by Alexandr Wang (Chief AI Officer) and Nat Friedman https://x.com/rowancheung/status/1939941959449059595

Meta reportedly hires four more researchers from OpenAI | TechCrunch https://techcrunch.com/2025/06/28/meta-reportedly-hires-four-more-researchers-from-openai/

Per Wired, Meta is poaching researchers with packages up to $300M over 4 years (with 1st yr comp >$100m), and that they’ve made 10 such offers to people at OpenAI. For context, this is roughly what Meta’s execs get paid per year: • CFO: $23.5M • COO: $25.5M • CTO: $23.5M •”” / X https://x.com/tanayj/status/1940137574141694046

RT @natfriedman: Started work at Meta this week. My job is to make amazing AI products that billions of people love to use. It won’t happe…”” / X https://x.com/ggerganov/status/1940704352534254019

Sam Altman Slams Meta’s AI Talent-Poaching Spree: ‘Missionaries Will Beat Mercenaries’ | WIRED https://www.wired.com/story/sam-altman-meta-ai-talent-poaching-spree-leaked-messages/

SCOOP: OpenAI CEO Sam Altman is hitting back at Meta CEO Mark Zuckerberg’s recent AI talent poaching spree. “”Missionaries will beat mercenaries,”” Altman wrote in an internal memo to OpenAI researchers. WIRED has obtained it: https://x.com/WIRED/status/1940105225525657890

Thrilled to be joining @Meta! Superintelligence is now in sight 🚀”” / X https://x.com/TrapitBansal/status/1939823632152502311

Small AI models trade knowledge for speed and privacy
A new category of AI models is emerging that prioritizes practical capabilities over encyclopedic knowledge, designed to run directly on personal devices rather than in the cloud. These “cognitive core” models, containing only a few billion parameters, can process text, images, and audio while using external tools to look up specific facts they don’t store internally. Key features include adjustable performance levels, on-device customization, and the ability to work offline while optionally connecting to cloud services for complex tasks. The trade-off is clear: while these models won’t remember that William the Conqueror died in 1087 or recite technical specifications from memory, they offer instant response times, complete privacy, and continuous availability – similar to how personal computers provide advantages over cloud-based systems despite having less raw power.

The race for LLM “cognitive core” – a few billion param model that maximally sacrifices encyclopedic knowledge for capability. It lives always-on and by default on every computer as the kernel of LLM personal computing. Its features are slowly crystalizing: – Natively multimodal text/vision/audio at both input and output. – Matryoshka-style architecture allowing a dial of capability up and down at test time. – Reasoning, also with a dial. (system 2) – Aggressively tool-using. – On-device finetuning LoRA slots for test-time training, personalization and customization. – Delegates and double checks just the right parts with the oracles in the cloud if internet is available. It doesn’t know that William the Conqueror’s reign ended in September 9 1087, but it vaguely recognizes the name and can look up the date. It can’t recite the SHA-256 of empty string as e3b0c442…, but it can calculate it quickly should you really want it. What LLM personal computing lacks in broad world knowledge and top tier problem-solving capability it will make up in super low interaction latency (especially as multimodal matures), direct / private access to data and state, offline continuity, sovereignty (“not your weights not your brain”). i.e. many of the same reasons we like, use and buy personal computers instead of having thin clients access a cloud via remote desktop or so. https://x.com/karpathy/status/1938626382248149433

NVIDIA releases 8B vision language model for document processing
NVIDIA has released Llama Nemotron Nano VL, an 8-billion parameter vision language model designed for intelligent document processing and optical character recognition. The model, now available on Hugging Face Hub, can extract and understand information from complex documents including PDFs, images, tables, charts, formulas, and diagrams. It demonstrates strong performance on the OCRBench v2 benchmark, which tests real-world document understanding tasks like text recognition and table extraction. The model is particularly suited for automating document workflows in industries such as finance, healthcare, legal, and government, with specific applications including invoice processing, compliance document analysis, contract review, and insurance automation. Users can further customize the model with their own datasets using NVIDIA’s NeMo framework, making it adaptable for specific business needs while maintaining a relatively small footprint for efficient deployment.

NVIDIA just dropped a blog on their 8B VLM Llama Nemotron Nano VL 📖 icymi they also release an OCR leaderboard with this release 📑 https://x.com/mervenoyann/status/1938713088020136218

Welcome the NVIDIA Llama Nemotron Nano VLM to Hugging Face Hub https://huggingface.co/blog/nvidia/llama-nemotron-nano-vl

3 AI Visuals and Charts: Week Ending July 04, 2025

OpenAI Podcast Episode 2 is now live! @markchen90 and @nickaturley join @andrewmayne to pull back the curtain on the making of ChatGPT. They also get into how products are developed and what’s next for agentic coding and multimodal assistants. https://x.com/OpenAI/status/1940063220456464880

Mandelbrot in x86 assembly by Claude https://simonwillison.net/2025/Jul/2/mandelbrot-in-x86-assembly-by-claude/

GaVS: 3D-Grounded Video Stabilization via Temporally-Consistent Local Reconstruction and Rendering TL;DR: Video stabilization task with feed-forward 3DGS reconstruction, ensuring robustness to diverse motions, full-frame rendering and high geometry consistency. https://x.com/Almorgand/status/1940449877001183717