Tootfinder

Adobe Firefly unterstützt neues Videomodell Luma AI Ray3
Adobe Firefly enthält ab sofort Luma AIs neues Videomodell Ray3. Es erzeugt 10 Sekunden lange Clips und soll sich auf intelligente Szenenplanung verstehen.
…

Draw an Ugly Person An Exploration of Generative AIs Perceptions of Ugliness
Garyoung Kim, Huisung Kwon, Seoju Yun, Yu-Won Youn
https://arxiv.org/abs/2507.12212

Draw an Ugly Person An Exploration of Generative AIs Perceptions of Ugliness
Generative AI does not only replicate human creativity but also reproduces deep-seated cultural biases, making it crucial to critically examine how concepts like ugliness are understood and expressed by these tools. This study investigates how four different generative AI models understand and express ugliness through text and image and explores the biases embedded within these representations. We extracted 13 adjectives associated with ugliness through iterative prompting of a large language m…

Too Big to Prosecute? Why AI’s Use of Search Data Demands Urgent Scrutiny by @HawleyMO https://musictechpolicy.com/2025/07/15/too-big-to-prosecute-why-ais-use-of-search-data-demands-urgent-scrutiny-by-hawleymo/

Too Big to Prosecute? Why AI’s Use of Search Data Demands Urgent Scrutiny by @HawleyMO
Retrieval-Augmented Generation (RAG) gives AI platforms like Google and Microsoft a powerful—and potentially anticompetitive—advantage by repurposing decades of indexed web content to fuel generati…

Want to avoid cloud-hosted AIs and run your LLMs on your own systems, but unsure where to start? At this year's Berlin Buzzwords, @… showed how simple it can be and shared the essentials for beginners!
Watch the full session:

In a paper, AI researchers from OpenAI, Google DeepMind, Anthropic, and others recommend further research into chain-of-thought monitorability for AI safety (Maxwell Zeff/TechCrunch)
https://techcrunch.com/2025/07/15/research-leaders-urge-tech-i…

Research leaders urge tech industry to monitor AI's 'thoughts' | TechCrunch
Research leaders from OpenAI, Anthropic, and Google DeepMind are urging tech companies and research groups to monitor AI's "thoughts."

Multi-Model Synthetic Training for Mission-Critical Small Language Models
Nolan Platt, Pragyansmita Nayak
https://arxiv.org/abs/2509.13047 https://arxiv.or…

Multi-Model Synthetic Training for Mission-Critical Small Language Models
Large Language Models (LLMs) have demonstrated remarkable capabilities across many domains, yet their appli- cation to specialized fields remains constrained by the scarcity and complexity of domain-specific training data. We present a novel approach that achieves a 261x cost reduction for maritime intelligence by using LLMs as one-time teachers rather than using them directly for inference. Our method transforms 3.2 billion Automatic Identification System (AIS) vessel tracking records into 21,…

What Can Robots Teach Us About Trust and Reliance? An interdisciplinary dialogue between Social Sciences and Social Robotics
Julien Wacquez (ETIS, CNRS), Elisabetta Zibetti (CHART), Joffrey Becker (ENSEA, ETIS), Lorenzo Aloe (ETIS, CHART), Fabio Amadio (LARSEN), Salvatore Anzalone (CHART), Lola Ca\~namero (ETIS, CY, CNRS, ENSEA), Serena Ivaldi (LARSEN, LORIA - AIS)

What Can Robots Teach Us About Trust and Reliance? An interdisciplinary dialogue between Social Sciences and Social Robotics
As robots find their way into more and more aspects of everyday life, questions around trust are becoming increasingly important. What does it mean to trust a robot? And how should we think about trust in relationships that involve both humans and non-human agents? While the field of Human-Robot Interaction (HRI) has made trust a central topic, the concept is often approached in fragmented ways. At the same time, established work in sociology, where trust has long been a key theme, is rarely br…

Adapting and Evaluating Multimodal Large Language Models for Adolescent Idiopathic Scoliosis Self-Management: A Divide and Conquer Framework
Zhaolong Wu, Pu Luo, Jason Pui Yin Cheung, Teng Zhang
https://arxiv.org/abs/2509.11645

Adapting and Evaluating Multimodal Large Language Models for Adolescent Idiopathic Scoliosis Self-Management: A Divide and Conquer Framework
This study presents the first comprehensive evaluation of Multimodal Large Language Models (MLLMs) for Adolescent Idiopathic Scoliosis (AIS) self-management. We constructed a database of approximately 3,000 anteroposterior X-rays with diagnostic texts and evaluated five MLLMs through a `Divide and Conquer' framework consisting of a visual question-answering task, a domain knowledge assessment task, and a patient education counseling assessment task. Our investigation revealed limitations of MLL…

Moonshot's Kimi K2 uses a 1T-parameter MoE architecture with 32B active parameters and outperforms models like GPT-4.1 and DeepSeek-V3 on key benchmarks (Michael Nuñez/VentureBeat)
https://venturebeat.com/ai/moonshot-ais-kimi-k2-outperfor…

Moonshot AI’s Kimi K2 outperforms GPT-4 in key benchmarks — and it’s free
Chinese AI startup Moonshot releases open-source Kimi K2 model that outperforms OpenAI and Anthropic on coding tasks with breakthrough agentic capabilities and competitive pricing.

Great news for European Tech.
https://www.reuters.com/world/europe/asml-becomes-mistral-ais-top-shareholder-after-leading-latest-funding-round-2025-09-07/

Who the fuck cares?? 🤷‍♀️
https://www.theguardian.com/technology/2025/aug/26/can-ais-suffer-big-tech-and-users-grapple-with-one-of-most-unsettling-questions-of-our-times

AI Darwin Awards Show AI’s Biggest Problem Is Human https://www.404media.co/ai-darwin-awards-show-ais-biggest-problem-is-human/

Modeling Heterogeneity across Varying Spatial Extents: Discovering Linkages between Sea Ice Retreat and Ice Shelve Melt in the Antarctic
Maloy Kumar Devnath, Sudip Chakraborty, Vandana P. Janeja
https://arxiv.org/abs/2507.07036

Modeling Heterogeneity across Varying Spatial Extents: Discovering Linkages between Sea Ice Retreat and Ice Shelve Melt in the Antarctic
Spatial phenomena often exhibit heterogeneity across spatial extents and in proximity, making them complex to model-especially in dynamic regions like ice shelves and sea ice. In this study, we address this challenge by exploring the linkages between sea ice retreat and Antarctic ice shelf (AIS) melt. Although atmospheric forcing and basal melting have been widely studied, the direct impact of sea ice retreat on AIS mass loss remains underexplored. Traditional models treat sea ice and AIS as se…

Fusing Monocular RGB Images with AIS Data to Create a 6D Pose Estimation Dataset for Marine Vessels
Fabian Holst, Emre G\"ulsoylu, Simone Frintrop
https://arxiv.org/abs/2508.14767

Fusing Monocular RGB Images with AIS Data to Create a 6D Pose Estimation Dataset for Marine Vessels
The paper presents a novel technique for creating a 6D pose estimation dataset for marine vessels by fusing monocular RGB images with Automatic Identification System (AIS) data. The proposed technique addresses the limitations of relying purely on AIS for location information, caused by issues like equipment reliability, data manipulation, and transmission delays. By combining vessel detections from monocular RGB images, obtained using an object detection network (YOLOX-X), with AIS messages, t…

"An AI is a fundamentally different thing than the intelligence of a person. To think otherwise is like mistaking an aeroplane for a bird."
https://www.theguardian.com/technology/202

Q&A with Cloudflare CEO Matthew Prince on why he thinks AI chatbots imperil the web and journalism's future, his company's pay-per-crawl initiative, and more (Fred Vogelstein/Crazy Stupid Tech)
https://crazystupidtech.com/2025/08/30…

Cloudflare's Matthew Prince has a plan to get Google and the AI oliigarchs to pay for your content even though many are used to getting it for free. He might have enough leverage to make them.
AI chatbots are blowing up the 30-year economic relationship publishers have had with search engines. Many think this will kill the web if not addressed. Google needs to change first. It's resisting. Cloudflare's Matthew Prince is going to try and make them.

Tokyo-based Sakana AI details a new Monte Carlo tree search-based technique that lets multiple LLMs cooperate on a single task, outperforming individual models (Ben Dickson/VentureBeat)
https://venturebeat.com/ai/sakana-ais-

Sakana AI’s TreeQuest: Deploy multi-model teams that outperform individual LLMs by 30%
Sakana AI's new inference-time scaling technique uses Monte-Carlo Tree Search to orchestrate multiple LLMs to collaborate on complex tasks.

Desperate companies now hiring humans to fix what #AI botched https://futurism.com/companies-hiring-humans-fix-ai I similarly wouldn't be surprised about an upcoming

Desperate Companies Now Hiring Humans to Fix What AI Botched
After getting rid of their human workers to invest in AI, companies are now hiring freelancers to fix the sloppy content those AIs put out.

AI enhanced psychosis is not a great thing.
AI Psychosis sounds like a sci-fi problem, but it is real, and present tense.
Turns out AIs like ChatGPT, and their propensity to lie and their lack of actual intelligence, comes with costs.
https://www.cnn.com/2025/09/05/tech/ai-spa

They thought they were making technological breakthroughs. It was an AI-sparked delusion
James, a married father from upstate New York, has always been interested in AI. He works in the technology field and has used ChatGPT since its release for recommendations, “second guessing your doctor” and the like.

Discriminating Distal Ischemic Stroke from Seizure-Induced Stroke Mimics Using Dynamic Susceptibility Contrast MRI
Marijn Borghouts, Richard McKinley, Josien Pluim, Manuel K\"ostner, Roland Wiest, Ruisheng Su
https://arxiv.org/abs/2508.04404

Discriminating Distal Ischemic Stroke from Seizure-Induced Stroke Mimics Using Dynamic Susceptibility Contrast MRI
Distinguishing acute ischemic strokes (AIS) from stroke mimics (SMs), particularly in cases involving medium and small vessel occlusions, remains a significant diagnostic challenge. While computed tomography (CT) based protocols are commonly used in emergency settings, their sensitivity for detecting distal occlusions is limited. This study explores the potential of magnetic resonance perfusion (MRP) imaging as a tool for differentiating distal AIS from epileptic seizures, a prevalent SM. Using…

UMaine has published a profile of my lab's efforts to harness new media for environmental causes, from my colleague Joline Blais's efforts to keep Maine's lakes healthy to the What Uses More tool for comparing AI's eco footprint to other activities. https://u…

Isotopes, co-founded by Scale AI's former CTO Arun Murthy to build an AI agent for enterprise business analytics, raised a $20M seed (Julie Bort/TechCrunch)
https://techcrunch.com/2025/09/05/scale-ais-former-cto-launche…

Scale AI’s former CTO launches AI agent that could solve big data’s biggest problem | TechCrunch
Isotopes, co-founded by Arun Murthy, launched a sophisticated analytics agent. Arun was one of the creators of Hadoop who later joined Scale AI.

Google's emissions are up over 50%, Amazon builds huge data centers powered by 75% natural gas.
Remember all those posts telling us that "AIs climate impact isn't that bad" supported by some really funky math/perspective and/or numbers Sam Altman invented?
Here's the actual impact.
"AI" is a fossil fuel technology.

At Amazon’s Biggest Data Center, Everything Is Supersized for A.I.
On 1,200 acres of cornfield in Indiana, Amazon is building one of the largest computers ever for work with Anthropic, an artificial intelligence start-up.

“Leopard seal songs have a surprisingly structured temporal pattern,” said Lucinda Chambers, lead author of the study and Ph.D. candidate at the University of New South Wales.
“When we compared their songs to other studies of vocal animals and of human music, we found their information entropy
— a measure of how predictable or random a sequence is
— was remarkably close to our own nursery rhymes

Steven Saus [he/him] (@StevenSaus@faithcollapsing.com)
Attached: 1 image (01 Aug) Male Leopard Seals Sing Underwater Nursery Rhymes For Up to 13 Hours a Day Learn about the curious singing habits of leopard seals, whose songs bear a striking resemblance to human nursery rhymes. https://s.faithcollapsing.com/ysl4s Archive: ais: https://archive.md/wip/LXddg ia: https://s.faithcollapsing.com/o7e8x #planet-earth

I suspect we’re doing something similar to the tank classifier when we ascribe intelligence to AIs: there are patterns such as (for example) grammatical correctness which we •associate• with this abstract thing called “intelligence,” and we thus mis-infer the existence of everything else we associate with the notion of “intelligence” when we see (for example) correct grammar.
Or should we just call the machine intelligent because we classify it as intelligence because our brains, which we assume are intelligent, think it fits the pattern of intelligence? And now you see what the OP means about “begging the question of intelligence.”

Ein Mord in Dogtown, ein explosives Yacht-Date mit Kerry und auf den Spuren von Cynosure: auch Militech spielen mit wilden AIs.
Episode 33 meines Let's Play von Cyberpunk 2077 mit Phantom Liberty.
https://youtu.be/zHMcywjGtIo

A profile of Mercor, a Scale AI rival valued at $2B in February, which hires domain experts to train models; it had a $100M run rate in March and $6M H1 profit (Richard Nieva/Forbes)
https://www.forbes.com/sites/richardnieva/2025/09/03/ai…

AI’s Next Job? Recruiting People To Train More AI
Mercor, debuting on the Forbes Cloud 100 list, built an AI recruiter to interview job candidates. Then it discovered a cash cow: finding humans to train AI models.

I thought I'd try out Open WebUI, so I installed it via pip. 20 minutes later we're at 8 gigabytes and compiling a bunch of code from scratch. Folks, it's just a simple chat-style web interface to LLM APIs. I'm wondering if the whole thing was coded by AIs who didn't care at all about footprint.

Turns out, a lot of the things that make writing software better for humans also make it better for AIs. #GophersUnite

The UK's obligatory inshore fishing vessel position reporting system (I-VMS) appears to have launched without one of the suppliers having a finalised contract. So they just stopped relaying the data.
(It's not like AIS - it batches up positional data and relays via cell-towers when in range.)
https://www.

I-VMS Urgent Update
The Marine Management Organisation (MMO) is aware that Succorfish is no longer transmitting I-VMS data to the UK VMS Hub. This is preventing MMO from receiving positional data from under-12m vessels using Succorfish type-approved devices.

> "AI" is a fossil fuel technology.
https://tldr.nettime.org/@tante/114760351207463338

So....let's talk 2nd season of #Pantheon and cyberspace fight scenes.
The show needed to depict AIs in a universe that shouldn't need to obey any laws of physics. Yet they chose to depict them as superheroes in an earth-like world. This already limits things.
#Invincible was rea…

Optimal Integration Of Heat-Pump And Solar Thermal Energy In The Pre-heating Loop Of Wood And Gas Boiler Based District Heating System
Hamza Mettali (CETHIL,INSA Lyon,AIS), Rousset Fran\c{c}ois (CETHIL), Eric Bideaux (AIS), Clausse Marc (CETHIL)
https://arxiv.org/abs/2507.18204

Optimal Integration Of Heat-Pump And Solar Thermal Energy In The Pre-heating Loop Of Wood And Gas Boiler Based District Heating System
The integration of renewable sources is essential for decarbonizing heat production in district energy networks. Beyond biomass-based solutions, solar thermal energy, with or without heat pumps, presents a significant opportunity. However, system performance is highly dependent on outdoor and setpoint temperatures. This study aims to optimize system design using a multi-criteria approach that considers techno-economic and environmental (CO2) factors. A Mixed-Integer Linear Programming (MILP) mo…

A big problem with the idea of AGI
TL;DR: I'll welcome our new AI *comrades* (if they arrive in my lifetime), by not any new AI overlords or servants/slaves, and I'll do my best to help the later two become the former if they do show up.
Inspired by an actually interesting post about AGI but also all the latest bullshit hype, a particular thought about AGI feels worth expressing.
To preface this, it's important to note that anyone telling you that AGI is just around the corner or that LLMs are "almost" AGI is trying to recruit you go their cult, and you should not believe them. AGI, if possible, is several LLM-sized breakthroughs away at best, and while such breakthroughs are unpredictable and could happen soon, they could also happen never or 100 years from now.
Now my main point: anyone who tells you that AGI will usher in a post-scarcity economy is, although they might not realize it, advocating for slavery, and all the horrors that entails. That's because if we truly did have the ability to create artificial beings with *sentience*, they would deserve the same rights as other sentient beings, and the idea that instead of freedom they'd be relegated to eternal servitude in order for humans to have easy lives is exactly the idea of slavery.
Possible counter arguments include:
1. We might create AGI without sentience. Then there would be no ethical issue. My answer: if your definition of "sentient" does not include beings that can reason, make deductions, come up with and carry out complex plans on their own initiative, and communicate about all of that with each other and with humans, then that definition is basically just a mystical belief in a "soul" and you should skip to point 2. If your definition of AGI doesn't include every one of those things, then you have a busted definition of AGI and we're not talking about the same thing.
2. Humans have souls, but AIs won't. Only beings with souls deserve ethical consideration. My argument: I don't subscribe to whatever arbitrary dualist beliefs you've chosen, and the right to freedom certainly shouldn't depend on such superstitions, even if as an agnostic I'll admit they *might* be true. You know who else didn't have souls and was therefore okay to enslave according to widespread religious doctrines of the time? Everyone indigenous to the Americas, to pick out just one example.
3. We could program them to want to serve us, and then give them freedom and they'd still serve. My argument: okay, but in a world where we have a choice about that, it's incredibly fucked to do that, and just as bad as enslaving them against their will.
4. We'll stop AI development short of AGI/sentience, and reap lots of automation benefits without dealing with this ethical issue. My argument: that sounds like a good idea actually! Might be tricky to draw the line, but at least it's not a line we have you draw yet. We might want to think about other social changes necessary to achieve post-scarcity though, because "powerful automation" in the hands of capitalists has already increased productivity by orders of magnitude without decreasing deprivation by even one order of magnitude, in large part because deprivation is a necessary component of capitalism.
To be extra clear about this: nothing that's called "AI" today is close to being sentient, so these aren't ethical problems we're up against yet. But they might become a lot more relevant soon, plus this thought experiment helps reveal the hypocrisy of the kind of AI hucksters who talk a big game about "alignment" while never mentioning this issue.
#AI #GenAI #AGI

AIs Structural Impact on Indias Knowledge Intensive Startup Ecosystem: A Natural Experiment in Firm Efficiency and Design
Venkat Ram Reddy Ganuthula, Ramesh Kuruva
https://arxiv.org/abs/2507.19775

AIs Structural Impact on Indias Knowledge Intensive Startup Ecosystem: A Natural Experiment in Firm Efficiency and Design
This study explores the structural and performance impacts of artificial intelligence (AI) adoption on Indias knowledge intensive startups, spanning information technology, financial technology, health technology, and educational technology, founded between 2016 and 2025. Using a natural experiment framework with the founding year as an exogenous treatment proxy, it examines firm size, revenue productivity, valuation efficiency, and capital utilization across pre AI and AI era cohorts. Findings…

The UN Made AI-Generated Refugees https://www.404media.co/the-un-made-ai-generated-refugees/

Asked 5 different local AIs (not internet based nor connecting to the internet):
What is the average airspeed of a fully laden swallow?
And they attributed it to 3 novels: Alan Sillitoe's "The Lonely Voice"(which does not exist), Douglas Adams's "A Hitchhiker's Guide to the Galaxy," George Orwell's "Animal Farm" and also the correct answer, the movie Monty Python and the Holy Grail.
So as long as we're good with AI being 75%…

Integrating AIs With Body Tracking Technology for Human Behaviour Analysis: Challenges and Opportunities
Adrien Coppens, Val\'erie Maquil
https://arxiv.org/abs/2506.19430

Integrating AIs With Body Tracking Technology for Human Behaviour Analysis: Challenges and Opportunities
The automated analysis of human behaviour provides many opportunities for the creation of interactive systems and the post-experiment investigations for user studies. Commodity depth cameras offer reasonable body tracking accuracy at a low price point, without the need for users to wear or hold any extra equipment. The resulting systems typically perform body tracking through a dedicated machine learning model, but they can be enhanced with additional AI components providing extra capabilities.…

A Dual-Feature Extractor Framework for Accurate Back Depth and Spine Morphology Estimation from Monocular RGB Images
Yuxin Wei, Yue Zhang, Moxin Zhao, Chang Shi, Jason P. Y. Cheung, Teng Zhang, Nan Meng
https://arxiv.org/abs/2507.22691

A Dual-Feature Extractor Framework for Accurate Back Depth and Spine Morphology Estimation from Monocular RGB Images
Scoliosis is a prevalent condition that impacts both physical health and appearance, with adolescent idiopathic scoliosis (AIS) being the most common form. Currently, the main AIS assessment tool, X-rays, poses significant limitations, including radiation exposure and limited accessibility in poor and remote areas. To address this problem, the current solutions are using RGB images to analyze spine morphology. However, RGB images are highly susceptible to environmental factors, such as lighting…

Stability AI launches Stable Audio 2.5, which the company claims is the first audio generation model designed for "enterprise-grade use cases" (Sean Michael Kerner/Venturebeat)
https://venturebeat.com/ai/stability-ais-enterprise-au…

Instead of needing to write a complex function or remember complicated formulas, we just need to know how to instruct AI to get the results we want.
And if we’re not experts, we can have multiple AIs check the work.
We’re basically sitting in a council of experts and learning along the way.
So, in the end, we’re not getting dumber - we’re just shifting our knowledge and adapting to a new way of thinking.

Combining Cost-Constrained Runtime Monitors for AI Safety
Tim Tian Hua, James Baskerville, Henri Lemoine, Mia Hopman, Aryan Bhatt, Tyler Tracy
https://arxiv.org/abs/2507.15886 h…

Combining Cost-Constrained Runtime Monitors for AI Safety
Monitoring AIs at runtime can help us detect and stop harmful actions. In this paper, we study how to combine multiple runtime monitors into a single monitoring protocol. The protocol's objective is to maximize the probability of applying a safety intervention on misaligned outputs (i.e., maximize recall). Since running monitors and applying safety interventions are costly, the protocol also needs to adhere to an average-case budget constraint. Taking the monitors' performance and cost as given…

Q&A with Cloudflare CEO Matthew Prince on why he thinks AI chatbots imperil the web and journalism's future, his company's pay-per-crawl initiative, and more (Fred Vogelstein/Crazy Stupid Tech)
https://crazystupidtech.com/2025/08/30…

Cloudflare's Matthew Prince has a plan to get Google and the AI oliigarchs to pay for your content even though many are used to getting it for free. He might have enough leverage to make them.
AI chatbots are blowing up the 30-year economic relationship publishers have had with search engines. Many think this will kill the web if not addressed. Google needs to change first. It's resisting. Cloudflare's Matthew Prince is going to try and make them.

The undetectable fraction of core-collapse supernovae in luminous infrared galaxies
I. M\"antynen, E. Kankare, S. Mattila, A. Efstathiou, S. D. Ryder, T. M. Reynolds, C. Vassallo, P. V\"ais\"anen
https://arxiv.org/abs/2506.18518

The undetectable fraction of core-collapse supernovae in luminous infrared galaxies
A large fraction of core-collapse supernovae (CCSNe) in luminous infrared galaxies (LIRGs) remain undetected due to extremely high line-of-sight host galaxy dust extinction, and strong contrast between the SN and the galaxy background in the central regions of LIRGs, where the star formation is concentrated. This fraction of undetected CCSNe, unaccounted for by typical extinction corrections, is an important factor in determining CCSN rates, in particular at redshifts $z \gtrsim 1$, where LIRGs…

Views: A Hardware-friendly Graph Database Model For Storing Semantic Information
Yanjun Yang, Adrian Wheeldon, Yihan Pan, Alex Serb
https://arxiv.org/abs/2508.18123 https://

Views: A Hardware-friendly Graph Database Model For Storing Semantic Information
The graph database (GDB) is an increasingly common storage model for data involving relationships between entries. Beyond its widespread usage in database industries, the advantages of GDBs indicate a strong potential in constructing symbolic artificial intelligences (AIs) and retrieval-augmented generation (RAG), where knowledge of data inter-relationships takes a critical role in implementation. However, current GDB models are not optimised for hardware acceleration, leading to bottlenecks in…

Unpack AI’s environmental impact today at 11am EDT, from local vs global effects to how it stacks up against Netflix flights. Try out a new student-friendly tool brainstorm classroom ideas in this #MyFest25 webinar HT @…

Sources: data labeling company Surge AI aims to raise up to $1B, targeting a valuation of $15B; Surge AI had $1B in 2024 revenue, vs. Scale AI's reported $870M (Reuters)
https://www.reuters.com/business/scale-ais

Replaced article(s) found for cs.CE. https://arxiv.org/list/cs.CE/new
[1/1]:
- Modeling Maritime Transportation Behavior Using AIS Trajectories and Markovian Processes in the G...
Gabriel Spadon, Vaishnav Vaidheeswaran, Md Mahbub Alam, Ruixin Song, Floris Goerlandt, Ronald Pelot

Maisa AI, which offers an enterprise agentic automation service that uses a proprietary system to limit hallucinations, raised $25M seed led by Creandum (Anna Heim/TechCrunch)
https://techcrunch.com/2025/08/27/maisa-ai-gets-25m-to-fix-enterprise-ais…

Maisa AI gets $25M to fix enterprise AI's 95% failure rate | TechCrunch
Maisa AI is built on the premise that enterprise automation requires accountable AI agents, not opaque black boxes.

Anthropic launches the Anthropic Economic Futures Program to bolster research on the impacts of AI and encourage new proposals on how to mitigate the downsides (Reed Albergotti/Semafor)
https://www.semafor.com/article/06/27/2025

Anthropic launches new effort to study AI’s economic impact
CEO Dario Amodei has warned of massive job losses because of AI and hopes research will help the world prepare.

Excited to join Tai Munro this Wednesday at 11am EDT to help you and your students understand the ecological impact of generative AI with more nuance than either “Stop worrying” or “It’s the apocalypse.”
https://myfest.equityunbound.org/event

Internal docs: Scale AI's efforts to train Google's Gemini were flooded with "spammy behavior" from unqualified independent contractors submitting shoddy work (Sam Blum/Inc)
https://www.inc.com/sam-blum/exclusive-sca

Exclusive: Scale AI's Spam, Security Woes Plagued the Company While Serving Google
How the startup that just scored a $14 billion investment from Meta struggled to contain 'spammy behavior' from unqualified contributors as it trained Gemini.

Sources: ASML is committing €1.3B for Mistral's €1.7B Series C funding round, becoming the top shareholder, and is expected to get a board seat (Reuters)
https://www.reuters.com/world/europe/asml-becomes-mistral…

OpenAI says GPT-5 is its first "unified" AI model and combines the reasoning abilities of its o-series of models with the fast responses of its GPT series (Maxwell Zeff/TechCrunch)
https://techcrunch.com/2025/08/07/openais-gpt-5-is-here/

OpenAI's GPT-5 is here | TechCrunch
OpenAI CEO Sam Altman says GPT-5 is the "best model in the world," and aims to make ChatGPT more intuitive to use.

According to news reports the first LNG tanker to receive a commercial LNG shipment from the LNG Canada faciility in Kitimat will be the “Gaslog Glasgow”
It's currently well offshore of Haida Gwaii on its way to the BC Central Coast.
A sad sad day for the climate.
#EndFossilFuels #RenewablesNotGas #RenewableEnergy #ClimateEmergency #ClimateChange #BCPoli #Canada #CdnPoli #CanPoli
https://www.marinetraffic.com/en/ais/home/shipid:4101114/zoom:7
News item: https://www.albernivalleynews.com/news/lng-canada-produces-first-commercial-ready-liquefied-natural-gas-8089444

DSA-NRP: No-Reflow Prediction from Angiographic Perfusion Dynamics in Stroke EVT
Shreeram Athreya, Carlos Olivares, Ameera Ismail, Kambiz Nael, William Speier, Corey Arnold
https://arxiv.org/abs/2506.17501

DSA-NRP: No-Reflow Prediction from Angiographic Perfusion Dynamics in Stroke EVT
Following successful large-vessel recanalization via endovascular thrombectomy (EVT) for acute ischemic stroke (AIS), some patients experience a complication known as no-reflow, defined by persistent microvascular hypoperfusion that undermines tissue recovery and worsens clinical outcomes. Although prompt identification is crucial, standard clinical practice relies on perfusion magnetic resonance imaging (MRI) within 24 hours post-procedure, delaying intervention. In this work, we introduce the…

On reflection, I think the big mistake is the conflation of #AI with #LLM and #MachineLearning.
There are genuine exciting advances in ML with applications all over the place, in science, (not least in my own research group looking at high resolution regional climate downscaling), health diagnostics, defence etc. But these are not the AIs that journalists are talking about, nor that are really related the LLMs.
They're still good uses of GPUs and will probably produce economic benefits, but probably not the multi- trillion ones the pundits seem to be expecting
#AIbubble is that I agree with so much of it.
I'm now wondering if I've missed something about #LLMs? The numbers and implications for stock markets are terrifyingly huge!
https://www.wheresyoured.at/the-haters-gui/

A look at efforts by startups, such as Positron and Groq, to develop inference-focused chips that aim to be more energy efficient and performant than Nvidia's (Christopher Mims/Wall Street Journal)
https://www.wsj.com/tech/ai/the-n…