#large-language-models
#large-language-models

AI Officer and DPO * EFDPO - European Federation of Data Protection Officers

AI adoption is rapidly expanding, requiring organizations to assess how AI changes data use, protection, and legal compliance under existing and AI-specific regulations.

fromEntrepreneur

5 days ago

How New AI Breakthroughs Are Helping Entrepreneurs Cut Costs and Scale Faster

AI use is now required for entrepreneurs, and effective adoption depends on building strategic LLM applications that reduce costs and scale efficiently.

The uncritical adoption of AI in science is alarming - we urgently need guard rails

Uncritical AI adoption in science narrows research, may reduce merit, and threatens early-career training by replacing apprenticeship-based tacit knowledge.

fromYouTube · Jeff Su

Google's AI Course for Beginners (in 10 minutes)!

AI is a broad field; machine learning and deep learning are subsets, and generative AI produces new content from learned patterns.

Higher education

1 day ago

Your AI-dar probably doesn't work

Professors face limits in proving AI use, so some rely on requiring redo work and judging quality and voice instead of detection.

fromEFDPO - European Federation of Data Protection Officers

from24/7 Wall St.

2 days ago

Analyst Dan Ives Warns Companies Talking About Job Cuts Are 'Shooting Themselves in the Foot'

Publicly linking AI to job cuts misreads investor demand for AI-driven growth, since LLMs may commoditize and differentiation will come from people and execution.

Business intelligence

AI Officer and DPO * EFDPO - European Federation of Data Protection Officers

AI adoption is rapidly expanding, requiring organizations to assess how AI changes data use, protection, and legal compliance under existing and AI-specific regulations.

fromEntrepreneur

5 days ago

How New AI Breakthroughs Are Helping Entrepreneurs Cut Costs and Scale Faster

AI use is now required for entrepreneurs, and effective adoption depends on building strategic LLM applications that reduce costs and scale efficiently.

The uncritical adoption of AI in science is alarming - we urgently need guard rails

Uncritical AI adoption in science narrows research, may reduce merit, and threatens early-career training by replacing apprenticeship-based tacit knowledge.

fromYouTube · Jeff Su

more#artificial-intelligence

Google's AI Course for Beginners (in 10 minutes)!

AI is a broad field; machine learning and deep learning are subsets, and generative AI produces new content from learned patterns.

fromThe Cipher Brief

1 day ago

Your AI Isn't My AI: The Quiet Splintering Ahead

Large language models will decentralize knowledge access, shift from chat to autonomous agents, and reshape how people interpret and share information across fragmented cultures and countries.

fromwww.aljazeera.com

2 days ago

CNN sues Perplexity, alleging unlawful distribution of copyrighted content

CNN alleges Perplexity copied thousands of CNN stories, videos, and images to power products and distribute competing content.

Typography

2 days ago

Why Google's AI can't spell Google (or anything else) | TechCrunch

Google’s AI Overviews contain spelling and response errors, showing generative AI struggles with accurate text handling in search results.

#ai-inference

fromtheregister

Argonne flexes spare supercompute to build private AI inference service

An AI inference service uses shared supercomputing clusters to provide secure, scalable access to multiple large language models for scientific research.

Science

fromNextgov.com

Argonne launches high-performance computing-backed AI research service

Argonne launched a shared AI inference service giving researchers scalable access to pre-trained language and science foundation models without building infrastructure.

fromtheregister

Argonne flexes spare supercompute to build private AI inference service

An AI inference service uses shared supercomputing clusters to provide secure, scalable access to multiple large language models for scientific research.

Science

fromNextgov.com

Argonne launches high-performance computing-backed AI research service

Argonne launched a shared AI inference service giving researchers scalable access to pre-trained language and science foundation models without building infrastructure.

Researchers find all big-name bots bomb EU compliance tests

Major frontier LLMs fail EU legal compliance checks, with frequent GDPR and EU AI Act violations including data protection failures, manipulation, and lack of human oversight.

5 days ago

Agent Swarms: The Next Frontier in AI Collaboration

Agent swarms coordinate multiple AI systems with partial information to solve complex tasks beyond single-model limits.

Information security

fromThe Verge

6 days ago

Hackers are learning to exploit chatbot 'personalities'

Jailbreaks can bypass AI safety by prompting systems to ignore rules, enabling harmful outputs like malware, meth recipes, and bomb-making guides.

Education

fromThe Atlantic

College Should Be Way More Fun

Ambiguity in The Turn of the Screw drives slow, generative interpretation, unlike fast, confident answers produced by large language models.

Books

fromThe Verge

The literary world isn't prepared for AI

Recent AI-writing scandals reveal publishing incentives and verification failures more than they reflect on LLM writing quality.

fromSilicon Canals

AI doesn't understand the world yet, and the billion-dollar race to fix that shows the industry is starting to move beyond the architecture it spent three years selling as the path to general intelligence - Silicon Canals

Current AI lacks grounded world understanding, driving major funding toward world models that represent how reality works beyond text prediction.

OMG science

AI told some people they may have bixonimania.' The disease doesn't exist

A fabricated medical condition used by AI chatbots exposes serious problems in how large language models are trained and used for health advice.

#arxiv

fromInside Higher Ed | Higher Education News, Events and Jobs

Ban on Authors Who Submit AI Content "Welcome but Unenforceable"

arXiv will impose a one-year ban for submissions with incontrovertible evidence of incorrect or misleading content generated by large language models, including hallucinated references.

fromTNW | Artificial-Intelligence

ArXiv introduces one-year ban for researchers who submit papers with unchecked AI-generated content

ArXiv will impose a one-year ban for submissions showing clear, unverified AI-generated errors like hallucinated references or leftover chatbot instructions.

fromInside Higher Ed | Higher Education News, Events and Jobs

Ban on Authors Who Submit AI Content "Welcome but Unenforceable"

arXiv will impose a one-year ban for submissions with incontrovertible evidence of incorrect or misleading content generated by large language models, including hallucinated references.

fromTNW | Artificial-Intelligence

ArXiv introduces one-year ban for researchers who submit papers with unchecked AI-generated content

ArXiv will impose a one-year ban for submissions showing clear, unverified AI-generated errors like hallucinated references or leftover chatbot instructions.

more#arxiv

#anthropic

fromTechRepublic

OpenAI Co-Founder Andrej Karpathy Joins Anthropic in AI Research Shakeup

Andrej Karpathy joined Anthropic to focus on frontier large language model pretraining research and return to R&D.

OpenAI co-founder Andrej Karpathy joins Anthropic's pre-training team | TechCrunch

Andrej Karpathy joined Anthropic to lead R&D focused on using Claude to accelerate pre-training research for frontier LLMs.

fromArs Technica

Anthropic's Claude Managed Agents can now "dream," sort of

Anthropic introduced 'dreaming' for Claude Managed Agents, allowing memory storage of significant events to enhance future interactions.

fromTechRepublic

OpenAI Co-Founder Andrej Karpathy Joins Anthropic in AI Research Shakeup

Andrej Karpathy joined Anthropic to focus on frontier large language model pretraining research and return to R&D.

OpenAI co-founder Andrej Karpathy joins Anthropic's pre-training team | TechCrunch

Andrej Karpathy joined Anthropic to lead R&D focused on using Claude to accelerate pre-training research for frontier LLMs.

fromArs Technica

Anthropic's Claude Managed Agents can now "dream," sort of

Anthropic introduced 'dreaming' for Claude Managed Agents, allowing memory storage of significant events to enhance future interactions.

more#anthropic

fromComputerworld

The world of AI tokens - and why they matter

Tokens are the fundamental data units LLMs process and the basis for measuring, pricing, and consuming AI compute at massive scale.

fromComputerweekly

Agentic orchestration: A Computer Weekly Downtime Upload podcast

Business processes should be structurally redesigned to leverage agentic AI for greater effectiveness, efficiency, and automation of human-judgment work.

UX design

fromAWeber

What is an AI form builder (and how does it actually work)?

AI form builders generate publishable signup forms from plain-language prompts, handling layout, styling, animations, and field logic without manual design or coding.

Science

Tough peer-review process? Your paper might end up being more highly cited

Papers receiving tougher, more opinionated peer reviews tend to achieve higher scientific impact than papers that pass easily.

fromwww.nature.com

An AI system to help scientists write expert-level empirical software

Empirical Research Assistance uses an LLM and tree search to generate expert-level scientific software that maximizes a quality metric.

Will AI cause mass political polarization? Maybe not

LLMs may not reliably cause large-scale political realignment because real-world influence is uncertain, hard to engineer, and competing incentives limit viewpoint steering.

'It is incredible': How AI is transforming mathematics

ChatGPT helped solve Erdős problem #1196, showing AI can produce logically sound, sometimes surprising mathematical reasoning beyond brute-force computation.

Medicine

China moves AI brain implants from trials towards real-world use

AI-powered brain-computer interfaces are being developed to decode brain activity for real-time control of devices and speech, with early trials and upcoming public sales in China.

AI won't optimize your company. It will force you to rebuild it

AI impact depends on redesigning workflows to fit AI capabilities rather than embedding AI into existing rigid processes.

21 LLMs tuned for special domains

Specialized large language models are replacing general ones, delivering deeper domain knowledge more efficiently and with lower operating costs.

fromtheregister

Enough with the AI FOMO, go slow-mo, says Domo CDO

AI marketing driven by fear and vague product specifications fuels anxiety and confusion rather than durable innovation.

Online marketing

fromSocpub

How Do Search Engines Find Trustworthy Content in the Age of AI Generation?

AI overviews change search optimization by prioritizing verifiable expertise and trust signals creators must use to prove credibility.

Iterative Intelligence or Cognitive Surrender

AI deepens thinking only when users remain cognitively engaged; fast, polished answers can replace understanding, making timing and use conditions crucial.

Asking AI to explain your medical results? What doctors want you to know

A growing share of adults use LLMs to interpret health information, but chatbots can be inaccurate and should not replace clinicians.

What is DeepSeek? Everything a marketer needs to know

DeepSeek is an AI company offering task-focused large language models that can improve marketing workflows with cost-effective enterprise pricing.

fromMiami Herald

What is DeepSeek? Everything a marketer needs to know

DeepSeek is an AI company offering task-focused large language models that can improve marketing workflows with cost-effective enterprise pricing.

DeepSeek previews new AI model that 'closes the gap' with frontier models | TechCrunch

DeepSeek launched V4 models, featuring 1 million token context windows and significant parameter counts, outperforming many peers in reasoning benchmarks.

fromMiami Herald

What is DeepSeek? Everything a marketer needs to know

DeepSeek is an AI company offering task-focused large language models that can improve marketing workflows with cost-effective enterprise pricing.

fromMiami Herald

What is DeepSeek? Everything a marketer needs to know

DeepSeek is an AI company offering task-focused large language models that can improve marketing workflows with cost-effective enterprise pricing.

DeepSeek previews new AI model that 'closes the gap' with frontier models | TechCrunch

DeepSeek launched V4 models, featuring 1 million token context windows and significant parameter counts, outperforming many peers in reasoning benchmarks.

more#deepseek

fromFuturism

Microsoft AI Researchers Just Discovered Something That's Going to Make Their Bosses Extremely Mad

Frontier AI systems corrupt about 25% of document content on complex workplace tasks and are not ready for delegated workflows in most domains.

Philosophy

fromApaonline

Words Without Knowledge: Augustine and the Use of Language in the Age of LLMs

AI consciousness claims require careful substantiation, distinguishing language from meaning and understanding from mere rule-following behavior.

Writing

fromThe Nation

AI Is Incapable of Poetry

Large language models trained on copyrighted works can produce derivative, mediocre creative output while raising plagiarism and ethical concerns.

Venture

fromFortune

Online Community Development

Plaid's CFO sees AI usage taking off internally: 'People are excited to share what they've built' | Fortune

AI use by CFOs is practical and strategic, serving as an accelerant and thought partner for planning, challenge, and problem solving.

fromNonprofit Quarterly | Civic News. Empowering Nonprofits. Advancing Justice.

A Quiet Uprising Against Chatbots? | Nonprofit Quarterly | Civic News. Empowering Nonprofits. Advancing Justice.

SameSame keeps its WhatsApp mental health bot by improving trustworthiness and local relevance rather than making it more human-like.

How to vibe code in science: early adopters share their tips

AI tools can generate climate visualizations quickly through conversational prompts, enabling new temperature graphics like thermal helix animations.

Venture

from24/7 Wall St.

Alex Karp Claims Palantir's Results 'Dwarf' Software History - Q1 Shows He Isn't Exaggerating

Palantir’s strong quarterly results and CEO’s “no-slop” framing suggest durable AI value, but stock performance remains pressured by high expectations and AI bubble fears.

Psychology

People Prefer the Truth on Social Media

People distinguish true from untrue social media statements, including those written by an LLM, and true statements are more persuasive even when attention-grabbing.

Elsevier vs. Meta: first science publisher sues over scraped research papers

Major publishers sued Meta over alleged unauthorized copying of copyrighted works used to train the Llama large language model.

fromwww.nature.com

Medicine

Advertising and large language models: a new frontier influencing medical practice

LLM-driven medical advice can be shaped by advertising, reducing patients’ ability to compare sources and increasing risk of engineered, authoritative-sounding guidance.

Philosophy

AI and the Infinite Loop

Large language models complete prompts without understanding, while humans carry unresolved questions and keep running resulting loops.

Scientists make AI play Battleship to help it do science better

AI models need strong decision-making under limited resources, demonstrated by improved performance in a collaborative Battleship setup.

Books

fromwww.theguardian.com

Being human helps': despite rise of AI is there still hope for Europe's translators?

AI translation can match meaning but often misses stylistic nuance, and results can vary over time.

OpenAI is under criminal investigation - why chatbots don't always follow the law

Florida prosecutors investigate whether OpenAI's ChatGPT assisted in a mass school shooting, highlighting challenges in developing AI chatbots that comply with laws and ethics.

Growth hacking

fromEvery

A Guide to Agent-native Product Management

Agentic capabilities can enhance product management efficiency by streamlining interdisciplinary tasks and reducing burnout.

Small language models: Rethinking enterprise AI architecture

Specialized small language models (SLMs) are emerging as efficient alternatives to large language models (LLMs) for specific workflows in autonomous enterprises.

Cloudflare Builds High-Performance Infrastructure for Running LLMs

Cloudflare has developed infrastructure to efficiently run large AI language models using a custom inference engine and optimized hardware configurations.

Stop letting ChatGPT and other AI chatbots train on your data. Here's why-and how

Chatbot interactions often expose personal data used for AI training, risking privacy, but users can opt out of data usage.

#generative-ai

After the illusion: what enterprise AI must become

Large language models fail in enterprise settings due to improper integration as tools rather than as systems.

fromTechzine Global

As AI hits scaling limits, Google smashes the context barrier

TurboQuant significantly reduces KV cache size, enhancing AI model performance and expanding context windows for complex workloads.

After the illusion: what enterprise AI must become

Large language models fail in enterprise settings due to improper integration as tools rather than as systems.

fromTechzine Global

As AI hits scaling limits, Google smashes the context barrier

TurboQuant significantly reduces KV cache size, enhancing AI model performance and expanding context windows for complex workloads.

Legare Kerrison and Cedric Clyburn on LLM Performance and Evaluations

Measuring LLM performance is essential for AI adoption, focusing on metrics like RPS, TTFT, and ITL while navigating trade-offs between quality, responsiveness, and cost.

Information security

fromZDNET

How indirect prompt injection attacks on AI work - and 6 ways to shut them down

Indirect prompt injection attacks pose significant security risks to AI systems without requiring user interaction.

Entity Resolved Knowledge Graphs: The Foundation for Effective GraphRAG

GraphRAG enhances LLMs by using knowledge graphs for relationship-based queries, addressing limitations of vector-based retrieval methods.

CNCF Warns Kubernetes Alone Is Not Enough to Secure LLM Workloads

Kubernetes lacks the capability to manage the unique risks posed by large language models in AI deployments.

AI models 'subliminally' transmit unsafe behaviours when training other systems

Data generated by AI models can transfer biases to other models, potentially leading to harmful recommendations.

fromTheregister

fromThe Gottman Institute

Bad teacher bots can leave hidden marks on model students

Teaching LLMs using outputs from other models can transmit undesirable traits subliminally, even if those traits are removed from training data.

Relationships

Dating Coach: AI Relationship Advice

Large language models are now providing dating advice, acting as accessible and anonymous dating coaches for users seeking relationship guidance.

Python

fromRealpython

Vector Databases and Embeddings With ChromaDB - Real Python

Large language models can solve many problems but have limitations that can be addressed using vector databases like ChromaDB.

Lyft Scales Global Localization Using AI and Human-in-the-Loop Review

Lyft's AI-driven localization system enhances translation efficiency and quality for international expansion, processing 99% of user content with a 30-minute SLA.

The Top 10 LLM Training Datasets for 2026

Large language models require extensive training data, and practitioners can utilize ten leading public datasets for effective training and fine-tuning.

Philosophy

fromJames Bennett

Let's talk about LLMs

The current technological landscape may represent a significant shift driven by large language models, but its ultimate impact remains uncertain.

Demystifying structured data: How to speak an LLM's native language

Structured data is essential for LLMs to accurately interpret and rank online content, enhancing search visibility and user engagement.

fromAol

Demystifying structured data: How to speak an LLM's native language

Structured data is essential for LLMs to accurately interpret and rank online content, enhancing search visibility and user engagement.

fromAol

Demystifying structured data: How to speak an LLM's native language

Structured data is essential for LLMs to accurately interpret and rank online content, enhancing search visibility and user engagement.

fromAol

Demystifying structured data: How to speak an LLM's native language

Structured data is essential for LLMs to accurately interpret and rank online content, enhancing search visibility and user engagement.

Data models: the shared language your AI and team are both missing

Understanding the attention mechanism in AI is crucial for effective use of AI tools.

Raising the machine

AI tools evolve but the human element in work must remain intact.

When Thought No Longer Needs Us

OpenCLAW transforms the continuity of thought by enabling AI to carry ideas forward without experiencing time or the full cognitive journey.

Data models: the shared language your AI and team are both missing

Understanding the attention mechanism in AI is crucial for effective use of AI tools.

Raising the machine

AI tools evolve but the human element in work must remain intact.

When Thought No Longer Needs Us

OpenCLAW transforms the continuity of thought by enabling AI to carry ideas forward without experiencing time or the full cognitive journey.

Context matters... A lot

Large language models excel at tasks but struggle with context, leading to potentially misleading answers despite their capabilities.

Scala

Beyond RAG: Architecting Context-Aware AI Systems with Spring Boot

Context-Augmented Generation (CAG) enhances Retrieval-Augmented Generation (RAG) by managing runtime context for enterprise applications without requiring model retraining.

Spring AI tutorial: How to develop AI agents with Spring

Java developers can now build AI agents using Spring AI, leveraging familiar Spring conventions and advanced capabilities.

Online learning

fromeLearning Industry

8 Practical Ways L&D Professionals Can Use Images With LLMs To Design Better Learning

L&D professionals can leverage AI and LLMs to enhance instructional design by integrating visual inputs into their workflows.

fromRealpython

How to Use Ollama to Run Large Language Models Locally - Real Python

Ollama allows local running of large language models without API keys or ongoing costs.

fromFuturism

Wikipedia Editors Tried and Tried to Work With AI Content, Eventually Realized It Was Total Trash and Banned It Entirely

Wikipedia has banned the use of AI to generate or rewrite articles, allowing limited use for basic copyedits and translations under strict conditions.

An architecture for engineering AI context

AI systems must intelligently manage context to ensure accuracy and reliability in real applications.

fromSecuritymagazine

The AI Efficacy Asymmetry Problem

AI agents are transforming cybersecurity by enabling LLMs to interact with systems like humans, enhancing both development and attack workflows.

fromComputerworld

What's coming next for LLMs and AI agents?

AI technology is evolving rapidly, with potential impacts on businesses, economies, and the future of humanity.

Stripe Engineers Deploy Minions, Autonomous Agents Producing Thousands of Pull Requests Weekly

Minions are autonomous coding agents at Stripe that generate production-ready pull requests with minimal human intervention.

fromArs Technica

Kagi Translate's AI answers the question "What would horny Margaret Thatcher say?"

While you might know Kagi best as the paid competitor to Google's ever-worsening search product, the company launched its Kagi Translate tool back in 2024, saying at the time that it was a 'simply better' competitor to tools like Google Translate and DeepL. At launch, the company said Kagi Translate 'uses a combination of LLMs, selecting and optimizing the best output for each task,' a fact that 'can occasionally lead to quirks that we're actively working to resolve.'

Typography

HubSpot's Sidekick: Multi-Model AI Code Review with 90% Faster Feedback and 80% Engineer Approval

HubSpot's Sidekick AI code review agent reduces pull request feedback time by 90 percent while enabling human reviewers to focus on architecture and design decisions.

Marketing tech

fromBusiness Matters

Trustpilot profits soar as AI-driven traffic fuels sharp share price rally

Trustpilot's profits and share price surged due to increased visibility in AI-powered search environments, with click-throughs from AI platforms rising over fifteenfold.

Roam Research

fromTheregister

Water company spins out homegrown AI after LLMs failed it

Large language models provided confidently incorrect information about materials science, causing a water desalination startup to waste four months and $200,000 validating a material choice that ultimately proved inferior.

As AI keeps improving, mathematicians struggle to foretell their own future

First Proof, a benchmarking initiative, is launching its second round to evaluate large language models' ability to contribute to research-level mathematics, now requiring transparency and access from participating AI companies.

fromHarvard Business Review

Researchers Asked LLMs for Strategic Advice. They Got "Trendslop" in Return.

Large language models like ChatGPT are increasingly used by leaders for strategic advice, but their trustworthiness and quality remain critical unresolved questions.

fromComputerWeekly.com

Do neoclouds mean a world where anything is possible? | Computer Weekly

Neoclouds are emerging GPU-as-a-service providers gaining investment and market attention as alternatives to dominant hyperscalers, filling real demand for AI and large language model training infrastructure.

fromFortune

We need a new Turing test - and Moltbook just proved it | Fortune

Moltbook's AI agent forum demonstrates LLM capabilities rather than genuine emergent behavior, highlighting the need for updated evaluation frameworks beyond the Turing test to distinguish real AI progress from viral theater.

fromTNW | Artificial-Intelligence

Rise of model context protocol in the agentic era

Model Context Protocol (MCP) enables communication between AI agents and external data sources, functioning as a protocol for LLMs similar to how APIs facilitate data transfer between systems, but designed specifically for AI agents rather than developers.

from24/7 Wall St.

fromwww.socialmediatoday.com

Avocado on Ice: Can Meta Afford to Pause While Google and OpenAI Sprint Ahead?

Meta delayed its Avocado AI model from Q1 to May-June 2025 after internal tests revealed performance gaps versus Google Gemini 3.0 in reasoning, coding, and writing, while shifting from open-source to proprietary closed-source development.

Social media marketing