Ogni mattina raccogliamo in automatico articoli, paper e video da decine di fonti (laboratori di ricerca, aziende dell'IA, strumenti di automazione) e teniamo i più pertinenti degli ultimi 30 giorni.
Large language models (LLMs) have shown increasing promise in research-level problem solving, yet a comprehensive collection of such problems is still missing, and evaluating them on research-level problems remains challenging. We introduce…
Existing scientific-agent benchmarks rarely evaluate whether agents can reconstruct the exact molecular structures and generation workflows specified by sequencing protocols, a capability critical for analyzing customized sequencing assays. We…
Public disclosure repositories such as SEC EDGAR support informed investment through web access to corporate filings. Supporting their review with language model agents requires discovering unstated deficiencies across related documents, acquiring…
Cooperative multi-agent reinforcement learning (MARL) enables teams of agents, such as robots and autonomous vehicles, to learn coordinated behavior, but what such teams learn is largely determined by their reward function. Because task success alone…
In recent years, warehouse logistics optimization has increasingly focused on intelligent, data-driven systems to enhance operational efficiency. Conventional static product placement strategies are being progressively replaced by dynamic slotting…
Come Creare Animazioni PAZZESCHE con Claude (Prompt Gratis) senza installare nulla: motion graphics fatte solo di codice, con i prompt gratis da copiare. 🎁 ATLANTE GRATUITO (20 stili + prompt pronti): https://www.futurepedia.io/resources/ai-style-atlas/view Claude non ha un modello video, eppure…
Compra il mio corso base "Crea un Agente AI con Claude Code": https://www.raffaelegaito.com/claude-code-crea-agente-ai-corso-completo/?landing=true Compra il mio corso intermedio “Fai il passo successivo con Claude Code”…
Utilizza il codice MONTY per avere uno sconto su Hostinger: https://www.hostinger.com/montystartup Questo video è supported by Hostinger #adv Scopri in 2 minuti quanto sei davvero pronto a usare l’AI nel tuo lavoro: fai il test gratuito → https://spiegamelofacile.com/audit/form-v4 -- Se il video ti…
OpenAI is strengthening violence prevention in ChatGPT with expanded safeguards, earlier interventions, and a new commitment to public safety reporting.
OpenAI shares excerpts from court briefs by creators, academics, accessibility advocates, and legal experts, among others, on how fair use supports AI training and innovation.
“Before ChatGPT Work, we were walking. Now with ChatGPT Work, we are running.” For Gen's Howie Xu, that means understanding how a new product’s onboarding experience is working within two or three hours of release. Finding answers used to mean repeated handoffs across teams, functions, and time…
“Before ChatGPT Work, we were walking. Now with ChatGPT Work, we are running.” For Gen's Howie Xu, that means understanding how a new product’s onboarding experience is working within two or three hours of release. Finding answers used to mean repeated handoffs across teams, functions, and time…
❤️ Check out Lambda here and sign up for their GPU Cloud: https://lambda.ai/papers 📝 OpenAI's paper is available here: https://github.com/openai/math/blob/main/preprints/The-Exponential-Time-Hypothesis-is-False-October-25-2026/paper.pdf Our paper with the cherry splash ray tracing simulation at…
Suno MCP connects music generation to automation systems via a standard protocol. You can decide if it's better than integrating Suno's API separately.
It can feel impossible to escape the pressure to "do something" with AI. Maybe your CEO just asked about your AI strategy in an all-hands, or your competitors are shipping faster thanks to automation. Or maybe you're just tired of watching your team lose hours every week to tasks a bot could easily…
Grok has a very specific edge over other AI models: live access to X, so your agents can keep their finger on the pulse a little more easily. But outside of that, Grok models and agents are still solid alternatives to what OpenAI, Anthropic, and Google have on offer. And if you're using Grok for…
AI agents have matured fast, and I've been in the weeds the whole time. These days, AI agents are running a lot of my processes in the background. And it's not just me or the Zapier team: 84% of enterprises plan to boost AI agent investments. Agents can run complex, org-wide workflows across your…
Fastbrowse is a browser-automation tool that changes how AI agents interact with web interfaces. See what capabilities it adds to automation workflows.
Ropes & Gray is developing AI for transactional diligence with OpenAI. Lawyers review grouped documents, summaries, and reports before advising clients.
“We have about 600 applications that have been built by different people in the company.” At Zendesk, teams across sales, marketing, and operations are building applications for their own work. ChatGPT Enterprise is available to every employee, and business users are asking questions about their…
“We have about 600 applications that have been built by different people in the company.” At Zendesk, teams across sales, marketing, and operations are building applications for their own work. ChatGPT Enterprise is available to every employee, and business users are asking questions about their…
When was the last time you looked at your project management app and didn't get a stress level spike? No matter how much you plan or reprioritize, it always feels like running a sprint on a tightrope. But now that AI is in the game, we can pass that stress over to the robots. With AI being added to…
The days of spending hours dragging images to just the right place on a slide are far behind us. You can now create a presentation with AI, giving the robots the job of setting the structure, adding the initial content, and executing on the aesthetics of your deck. All you have to do is tweak it…
I've been writing about AI since before most people knew what it stood for, so a question as simple as "What is ChatGPT?" should be a softball. But as OpenAI has kept pushing ChatGPT forward with new models and features, it's gotten surprisingly hard to answer. ChatGPT isn't just a chatbot anymore…
ChatGPT can do basically anything you ask, but you really don't have a huge amount of control over its outputs. If you want to do more with OpenAI's models, you need to dig a little deeper. If you really want to see what the models can do and exert some control over how they respond, you need to…
Does $5,000 in AI spend equal $5,000 in value? If it does, that's a bad investment. A 1x return wouldn't get approved anywhere else in our budget, and AI doesn't get an exception. As the Chief Operating Officer at Zapier, the question I really care about is whether that investment returned more…
What can lawyers achieve when time is no longer the limit? Discover how Legora uses OpenAI models, ChatGPT and Codex to help legal teams review contracts faster, broaden their analysis and make more room for work that needs human judgment. Part of Intelligence at Work, a series exploring how…
Scopri in 2 minuti quanto sei davvero pronto a usare l’AI nel tuo lavoro: fai il test gratuito → https://spiegamelofacile.com/audit/form-v4 -- Se il video ti è stato utile, iscriviti. Per il resto 👉 https://marcomontemagno.com 👉https://spiegamelofacile.com Ogni sabato mattina, nella tua casella: un…
See how Legora uses OpenAI models, ChatGPT, and Codex to accelerate legal workflows, expand contract analysis, and free lawyers to focus on higher-value work.
NDA reviews once took up around 20% of Legora’s legal team’s capacity. Today, that figure is under 1%. General Counsel Emma Kadri Bergström shares how AI is helping her team reclaim time, support a rapidly growing business and take on more complex work, while keeping lawyers responsible for the…
Legora co-founder and CEO Max Junestrand wants to make legal expertise available wherever it’s needed. He shares how OpenAI helped turn that ambition into a platform, why staying AI-native matters as the company grows, and what becomes possible when lawyers can take on work that time and capacity…
When deadlines limit how many contracts lawyers can examine, important risks can go unseen. Alex Fortescue-Webb, Global Head of Legal Engineering at Legora, explains how AI powered by OpenAI models helps teams analyse thousands of contracts across multiple questions in minutes, expanding the scope…
Clip estratta dall'intervista fatta ad Alessandro Vercellotti su What’s Next, il podcast su tecnologia e innovazione raccontati, con un tocco umano, da chi li vive ogni giorno. Guarda l'intervista completa: https://www.youtube.com/watch?v=fs6dActC94k #short
Sarò speaker anche all'edizione 2027. Prendi il biglietto con il 20% di sconto usando il codice GAITO20 su https://aiweek.it/ Compra il mio corso base "Crea un Agente AI con Claude Code": https://www.raffaelegaito.com/claude-code-crea-agente-ai-corso-completo/?landing=true Compra il mio corso…
See how Legora uses OpenAI models, ChatGPT, and Codex to accelerate legal workflows, expand contract analysis, and free lawyers to focus on higher-value work.
Starting today, eligible ChatGPT Pro and Business subscribers can claim up to $500 per month in API credits to build apps and agents. Credit amounts depend on the plan. Pro plans get $100, $200 or $500 per month by tier. Business plans get $20 per paid Standard seat or $100 per paid Premium seat…
“If you're an executive, you are the ceiling for AI fluency for your organization.” Merge co-founder and CEO Shensi Ding manages the non-R&D side of the business. She also codes. Using Codex, she asked it to help redesign a feature using the product’s existing design system. She describes it…
“If you're an executive, you are the ceiling for AI fluency for your organization.” Merge co-founder and CEO Shensi Ding manages the non-R&D side of the business. She also codes. With Codex, she asked for help redesigning a feature without prescribing the solution. It drew on Merge’s existing…
Today, AutomationBench joins Fireworks' Specialized Intelligence Index (SII), bringing business workflow automation to a growing collection of practitioner-built benchmarks that compare AI models on real work. We're one of 32 new partners in this round, alongside teams covering fields like finance…
Notion is a special app. Starting from an empty screen, you add notes and documents in a freeform way. Then, when the original page is too crowded, you create your first database and the possibilities explode: you can create a custom productivity system and change it as you evolve. But productivity…
I consider what it means for AI assistance to save time. I contrast a stopwatch view, on which time saved is whatever the clock records, with a ledger view, on which it is a counterfactual that has to be read next to the errors the work lets through…
Large language model (LLM) agents increasingly rely on reusable skills for complex software engineering tasks, making skill libraries essential for repository development and maintenance. However, repository-specific skills must evolve with changing…
Requirements engineering (RE) is foundational to systems engineering (SE), as requirement defects can propagate downstream and adversely affect development outcomes. Although large language models (LLMs) are promising for requirement quality…
Effective differential diagnosis depends on well structured and unambiguous patient case descriptions, since incomplete or ambiguous clinical information readily leads to diagnostic errors and inconsistent reasoning. Large Language Models (LLMs) have…
Evaluating natural language explanations in recommender systems is essential for fostering user trust, transparency, and engagement. However, existing evaluation approaches like human evaluations, while accurate, are resource-intensive and impractical…
Clip estratta dall'intervista fatta ad Alessandro Vercellotti su What’s Next, il podcast su tecnologia e innovazione raccontati, con un tocco umano, da chi li vive ogni giorno. Guarda l'intervista completa: https://www.youtube.com/watch?v=fs6dActC94k #short
Security teams face a constant stream of vulnerabilities and alerts. Cloudflare’s Mark Anderson describes using AI to automate detection and response so experts can focus on threats that need their judgment. He sees automation from companies like OpenAI as a way to take on routine security work and…
Security teams face a constant stream of vulnerabilities and alerts. Cloudflare’s Mark Anderson describes using AI to automate detection and response so experts can focus on threats that need their judgment. He sees automation from companies like OpenAI as a way to take on routine security work and…
Activepieces AI workflow builder converts plain language descriptions into executable workflow drafts available on the free plan with 1,000 monthly credits.
GPT 6.1 Terra Pro adds new automation capabilities. Understand which workflow tasks could benefit from this model and how it changes what's automatable.
AI image generators have been brewing (generating?) up a storm for the last few years. If you've been on social media, watched prime time news shows, or ordered from GrubHub, AI-generated images have been impossible to miss. These kinds of AI-generated images are everywhere, and sometimes you won't…
ContextGem v1.3.0 released updates for extracting structured data from documents with LLMs. Understand which new capabilities affect document automation.
Use-based AI regulation assigns obligations by deployment risk but lacks an evidentiary object to carry them. A benchmark score is a property of a model; conformance of a deployment is a failure rate under a declared distribution of contexts, bounded…
Current uses of large language models (LLMs) for qualitative coding often rely on ad hoc prompting with limited guidance for reliability and human oversight. To address these limitations, we propose the Smart Coder Framework, a three-phase approach…
Frontier AI models are increasingly deployed on topics where the stakes are high and expert judgment is required, including healthcare, defense, finance, governance, and politics. We present a general methodology for distilling expert human judgment…
As frontier AI systems increasingly serve as sources of political and current-events information, evaluating the epistemic quality of their responses is now especially consequential. Existing evaluations often focus narrowly on ideological alignment…
Molecular cloning is one of the most routine wet-lab workflows, yet existing evaluations of language models in biology mostly test knowledge recall or isolated steps rather than end-to-end experimental planning. We introduce BenchBench-Cloning, a…
Amp is building an AI agent that helps developers turn ideas into working software, from deciding what to build to writing code to onboarding customers. Sign in with ChatGPT gives Amp users access to more tokens for larger tasks, while Amp's conversational assistant, Puck, uses GPT‑Live‑1 to help…
Il Web Design È MORTO? ChatGPT Ora Crea Siti e App da Solo grazie a ChatGPT ora crea siti e app da solo: con ChatGPT Sites scrivi una frase e ti ritrovi un sito online, con il suo link. Ecco 8 casi d'uso reali, passo passo. Il web design è morto? L'ho messo alla prova su 8 progetti veri dentro…
Stack Overflow is building a knowledge intelligence platform that turns information scattered across workplace tools into verified knowledge for people and AI agents. The company's latest product, Stack Overflow for Agents, was built from the ground up by two engineers in just a few weeks using…
Higgsfield is building an AI video and image creation platform that helps creators and small teams produce everything from instructional videos to fashion campaigns. With GPT‑6 Astra, the company has gone from creating videos around one minute long to videos over 10 minutes. GPT‑Image‑2.5 helps…
GPT-6.1 Terra: delivering fast and capable computer use at a lower price. GPT-6.1 Terra understands what’s on screen, takes action across apps, writes naturally, and is a more capable model for your whole workday with the efficiency to take on more of it. GPT-6.1 Terra continues to advance the…
Explore OpenAI Signals data on 165 work activities across nearly 100 countries, revealing how people use ChatGPT for work and how usage changes over time.
Methane is an invisible greenhouse gas that traps about 80 times as much heat as carbon dioxide over 20 years and drives roughly a quarter of today's human-made warming. Because it clears from the atmosphere in around nine years, finding and fixing the biggest emitters — oil and gas fields, coal…
The n8n Insights dashboard displays execution metrics and performance data for your automation workflows. Identify which plan tier unlocks these features.
We present the framework of TACS-RF - a Tool-driven Agentic Circuit Synthesis of RF and mmWave modules. In this framework, a large-language-model (LLM) coding agent (Claude Opus 4.8) directly drives industry-standard electronic-design-automation (EDA)…
Modern Large Language Models (LLMs) remain vulnerable to carefully orchestrated multi-turn interactions that progressively bypass safety mechanisms. However, many existing red-teaming approaches rely on heuristics or impose strong assumptions that…
LLM agents are increasingly deployed in collaborative settings where they pursue separate tasks while sharing resources and operating under review or oversight processes. Such settings create safety risks not only when agents are malicious, but also…
Intent recognition in human-robot interaction requires agents to resolve ambiguous natural language instructions by inferring the speaker's underlying goals. Research has increasingly focused on two notable paradigms for addressing this task…
Conventional neural-network training typically follows a predefined optimization recipe, motivating a LLM agent that monitors training dynamics and adjusts optimizer settings as training progresses, but a fixed agent policy does not accumulate…
OpenAI and Poland’s NASK are partnering on AI safety, security, and technical research to strengthen safeguards and support a more resilient digital ecosystem.
Compra il mio corso base "Crea un Agente AI con Claude Code": https://www.raffaelegaito.com/claude-code-crea-agente-ai-corso-completo/?landing=true Compra il mio corso intermedio “Fai il passo successivo con Claude Code”…
We’re using dots to build better dots. Rennie Song, an engineer at OpenAI, uses her dot to gather feedback from social media and user reports, update a live tracker in ChatGPT Space, and investigate and fix bugs with Codex. Get started with dots today: https://learn.chatgpt.com/docs/dots
Austin Braham at Realpage. uses ChatGPT Work to turn ideas, notes and source materials into complete AI training packages tailored to different teams, roles and skill levels.
At Realpage., Austin Braham creates AI training for different teams, roles and skill levels. He uses ChatGPT Work to turn ideas, notes and source materials into complete enablement packages tailored to each audience. The result is more relevant, consistent education that helps colleagues put AI to…
Shield’s AI agents use Astra to work directly in business software and handle routine IT fixes, giving technicians more time for harder problems that need their judgment.
When someone can’t log in or get online, their IT team often has to put other work on hold. Shield is building Forge to help IT services teams get their customers back to work faster. Its AI agents use Astra to work directly in business software and resolve problems that previously needed a…
Ho Testato il Tool Virale che SMONTA Qualsiasi App (Ecco Cosa Fa Davvero) e Ho testato REA (Reverse Engineer Anything), il tool virale di GitHub che promette di smontare qualsiasi app con l'intelligenza artificiale: ecco cosa fa davvero. REA porta il reverse engineering dentro agenti AI come Claude…
AT&T’s David McAtee and Bill Ryan describe how AI is changing their legal team’s work—and what they plan to build with OpenAI next. One initiative is a natural-language intake system that would classify and prioritize legal matters, then connect them with relevant knowledge. The aim is to put…
Activepieces vs IFTTT differ in pricing, automation triggers, and integrations available. See which platform matches your technical skill level and budget.
Learn how AI agent memory works, explore short-term and long-term memory architectures, and discover how to combine n8n and Cognee to build AI workflows that retain context, share knowledge, and learn across sessions.
AI agents were the promise of 2024, the hype of 2025, and the expectation of 2026 and beyond. The category has matured, and a handful of agents are ready to use out of the box, with tool access, task completion, and guardrails for the data they touch. I've spent a lot of time with AI agents, and I…
Nemotron 3.5 Super VL updates image recognition in automations. See how the capabilities changed and what that means for your visual processing workflows.
LLM-driven evolutionary search is a promising paradigm for scientific discovery, but existing methods remain costly and slow, often applying expensive reasoning uniformly while underusing evidence from failed, redundant, and saturated trials. We…
Automated judges of clinical artificial intelligence (AI) outputs are necessary, but large language model (LLM) judges are costly and slow at scale. We compared Jev, a decision language model that returns structured judgments, with frontier and…
Large language models increasingly take part in extended conversations where they can both shape and be shaped by another party's views, yet most persuasion research measures only one side of that exchange. We introduce a controlled LLM-LLM debate…
While large language models are increasingly deployed as tool-calling agents, their safety evaluations still focus primarily on their ability to refuse harmful requests in text. We investigate whether the refusal behavior in text transfers to tool…
Radiation treatment planning requires balancing competing objectives to satisfy clinical criteria while accommodating physicians' preferences. This study aims to develop an evidence-driven, multi-agent compound AI system that integrates DRL-based…
Following a 1,000-person pilot, Uber is bringing ChatGPT Work to more than 30,000 employees worldwide in its first company-wide deployment of an agentic platform for knowledge work. Uber CTO Praveen Neppalli Naga and OpenAI co-founder and President Greg Brockman discuss expanding AI beyond…
Uber is rolling out ChatGPT Work to more than 30,000 employees, helping teams research, analyze data, create presentations, and complete complex workflows.
Top-rated AI writing tools are evaluated based on their ability to automate complex drafting tasks and integrate directly into existing project workflows.
AI agent hallucinations are hard to catch because they usually look like normal answers. An agent can invent a fact, misread retrieved context, or contradict itself without signaling that anything went wrong. Once that output triggers another workflow step, the mistake can quickly become a…
Chris Fairley founded the hiring platform Vetano in early 2025. After a particularly challenging job-hunting experience, Chris found that a strong resume was no longer enough. Resumes get about seven seconds of attention, according to Ladders' eye-tracking research. With AI now screening many of…
In recent years, physical artificial intelligence (physical AI) has experienced rapid development, capturing significant attention in academia and industry. However, the field has yet to reach consensus on its definition, technical landscape, and core…
As AI systems begin to resolve open research problems, reliable verification becomes increasingly important. Formal mathematics provides a trusted framework for mathematical reasoning, enabling agents to produce machine-checkable proofs while…
Multimodal question answering (MMQA) is based on integrating heterogeneous data sources, selectively leveraging relevant modalities, and ignoring distractors. Existing approaches based on Multimodal Large Language Models (MLLMs) improve performance by…
Chemistry has recently entered a high-data regime as molecular databases from high-throughput platforms or computational studies have become available. Increasing automation within the chemical sciences leads to a more digital and precision chemistry…
Enterprise adoption of LLMs in agentic workflows is gated by evaluations that span a wide arc of abilities: CRM operations, heterogeneous-document retrieval, personal data understanding, multi-turn planning, tool use, function calling, long-horizon…
Ho testato Gemini 4 Argon, il nuovo modello di punta di Google, con 5 test concreti: è DAVVERO all'altezza di ChatGPT e Claude? Con Antigravity ho creato due videogiochi in vibe coding senza scrivere una riga di codice, gli ho fatto revisionare il codice scritto da Claude Opus 5.5, ho trasformato…
Learn how OpenAI built ChatGPT’s LLM-powered ad stack to understand conversational intent, keep ads separate from answers, and deliver relevant ads at scale.
Founded in a tent near the Berlin Wall in 1980, the Tempodrom moved several times before settling near Anhalter Bahnhof in 2001. Its permanent home has since hosted concerts, galas and political events. Today, it hosts a different kind of spectacle. GTC Berlin runs three days, with more than 100…
#adv Clip estratta dall'intervista fatta a Paolo Fontana, Managing Director [Alkemy] Data. Tech. AI, su What’s Next, il podcast su tecnologia e innovazione raccontati, con un tocco umano, da chi li vive ogni giorno. Guarda l'intervista completa: https://www.youtube.com/watch?v=3AAk3YC6vXE #short
Puoi scaricare l'ebook che dico nel video a questo link: https://raffaelegaito.activehosted.com/f/39 Compra il mio corso base "Crea un Agente AI con Claude Code": https://www.raffaelegaito.com/claude-code-crea-agente-ai-corso-completo/?landing=true Compra il mio corso intermedio “Fai il passo…
OpenAI outlines a blueprint for empowering cyber defenders with frontier AI, stronger safeguards, modernized cybersecurity, and more resilient public institutions.
V7 Go organizes company files into a Context Graph that agents can query to screen investment deals and support insurance underwriting. On V7’s hardest graph-query tests across thousands of documents, GPT-6 Astra reached 89% accuracy. Read the full story: https://openai.com/index/v7/
Most teams don't struggle to implement AI in their daily workflows because they're resistant to change—they struggle because they haven't been given the structure to learn how to use it effectively. Employees who receive formal AI training are far more likely to see it as a boost to their…
An n8n review shows whether this platform fits technical teams ready to self-host or pay per execution. Assess if n8n meets your workflow automation needs.
An n8n AI Agent node connects tools to a chat model that calls them in sequence until solving the problem. You'll see how to wire one into your workflows.
Large language model (LLM) agents are evolving from conversational assistants into Cowork Agents capable of autonomous planning, tool use, and complex task execution. Financial analysis requires these agents to integrate cross-document evidence and…
Large language models (LLMs) are enabling agents to move beyond predefined workflows toward autonomous planning and execution, creating new opportunities for smart manufacturing. However, dynamic environments, complex physical constraints, and…
Mathematical reasoning is a fundamental capability for educational applications of Large Language Models (LLMs), where reliable problem solving requires not only correct answers but also coherent and verifiable reasoning processes. Multi-agent systems…
Conversational recommender systems have recently adopted vision-language models to match user dialogue intents with multimodal product information. However, extending these methods to many product domains faces a dilemma: deploying a separately…
#adv Clip estratta dall'intervista fatta a Paolo Fontana, Managing Director [Alkemy] Data. Tech. AI, su What’s Next, il podcast su tecnologia e innovazione raccontati, con un tocco umano, da chi li vive ogni giorno. Guarda l'intervista completa: https://www.youtube.com/watch?v=3AAk3YC6vXE #short
OpenAI is acquiring Orchestra Bio to bring AI-powered operations to life sciences R&D, helping biopharma teams accelerate drug development and advance new treatments.
The Barcelona Supercomputing Center (BSC)’s AI Factory Accelerator Programme, now in full operation following a pilot initiative, gives startups access to sovereign compute, technical support and training to support innovation across industries. Many of these companies are also members of the…
See how an AI shopping agent can turn a room photo into a personalized shopping experience—from finding the right products to updating an order. In this demo for fictional home goods retailer Vesper & Alder, a shopper uses voice and images to create a cozy reading nook. The agent recommends…
Amazon Bedrock pricing uses a pay-per-use model with rates varying by AI model and pricing mode, letting you estimate costs before scaling automation tools.
Most teams don't stick to one AI tool. Your support team works in Claude, a few people swear by ChatGPT, and your engineers live in Cursor. Until now, each of those tools needed its own Zapier MCP server, with its own apps and skills to set up. Now you can connect all of them to one Zapier MCP…
In this episode of Cooking with Codex, an OpenAI dot helps plan a ramen recipe and organize prep in ChatGPT Space, with GPT-Live guiding the cooking process. Also covered: Codex cloud environments, which keep tasks running after a laptop is closed, and new Codex CLI features including voice input…
Bringing legal expertise and frontier AI together starts with trust. For Thomson Reuters’ Camillo Speroni, that means output lawyers can verify, cite and put their name on. Camillo discusses Thomson Reuters’ work with OpenAI to bring HighQ and Thomson Reuters CoCounsel Legal into ChatGPT…
Bringing legal expertise and frontier AI together starts with trust. For Thomson Reuters’ Camillo Speroni, that means output lawyers can verify, cite and put their name on. Camillo discusses Thomson Reuters’ work with OpenAI to bring HighQ and Thomson Reuters CoCounsel Legal into ChatGPT…
Learn how OpenAI is improving ChatGPT across low-resource programming languages, with new evaluations for software engineering, SQLite, and COBOL migration.
Gemini 4 Argon is Google's new reasoning model for solving complex problems. You can access it through developer platforms to enhance automation workflows.
Vellum platforms help teams manage complex AI workflows. Compare these specific operational tools to select the best infrastructure for your scaling needs.
Most small businesses want the same handful of AI jobs. They want to draft emails, summarize calls, read invoices, search their own documents, and make the odd image. Plenty of them can't send customer data to a cloud API to do it. Often the reason is data privacy
Large language models (LLMs) provide a convenient interface for translating natural language commands into task plans for cyber-physical systems (CPSs). However, two gaps hinder their use for real execution: generated plans may misinterpret or omit…
Multimodal large language models (MLLMs) offer scalable annotations of social and affective content, but their temporal agreement with human judgments and neural predictive value require further evaluation. We compared diffusion-based and…
Text-based world models have recently shown potential to simulate complex RL environment state transitions for a diverse set of use cases. However, no standardized benchmark exists to compare, study and improve these models. Through this paper, we…
Benchmarks drive AI progress, but are hampered by task under-specification and over-specification. Task under-specification causes guesswork, where solutions have to make things up, or worse, resort to contamination or reward hacking. Task…
In branch-and-bound for Mixed-Integer Linear Programming (MILP), branching and node selection are two critical and tightly coupled decisions, yet most existing learning-based approaches focus on optimizing them separately. We propose Evo-B&B, an…
#adv Clip estratta dall'intervista fatta a Paolo Fontana, Managing Director [Alkemy] Data. Tech. AI, su What’s Next, il podcast su tecnologia e innovazione raccontati, con un tocco umano, da chi li vive ogni giorno. Guarda l'intervista completa: https://www.youtube.com/watch?v=3AAk3YC6vXE #short
These technical strategies protect sensitive corporate information from being ingested by external large language models during routine automated processes.
#adv Clip estratta dall'intervista fatta a Paolo Fontana, Managing Director [Alkemy] Data. Tech. AI, su What’s Next, il podcast su tecnologia e innovazione raccontati, con un tocco umano, da chi li vive ogni giorno. Guarda l'intervista completa: https://www.youtube.com/watch?v=3AAk3YC6vXE #short
Langflow vs n8n differ in purpose: one builds AI applications, the other adds AI to workflows. Compare their cost and features to choose the right tool.
GPT-6 Astra + ChatGPT Work Cambia TUTTO (Tu Parli, Lui Lavora) per cui GPT-6 Astra dentro ChatGPT Work cambia tutto: tu gli dici cosa ti serve, lui fa il lavoro dall'inizio alla fine, direttamente sul tuo computer. In questo video ti mostro passo passo come attivarlo e i 4 casi d'uso in cui il…
#adv [Alkemy] Data.Tech.AI, la practice di Alkemy Group specializzata nell’evoluzione di modelli di business potenziati dalla tecnologia e abilitati dall’AI. Compra il mio corso base "Crea un Agente AI con Claude Code"…
See how Localiza uses ChatGPT Enterprise, the OpenAI API, Codex, and 60+ specialized agents to reorganize work and build AI-native mobility experiences.
Ali, an engineer at OpenAI, used his dot to triage an on-call incident at 3am. His dot investigated the issue and started a Codex thread, so he could steer the work from his phone in the ChatGPT app.
Set up recurring work your team can manage together with team tasks in ChatGPT. Follow a legal team's daily intake workflow—from reviewing incoming requests and checking deadlines to refining shared instructions for the next run. Tasks run in the cloud, so teammates can review results, improve the…
Scopri in 2 minuti quanto sei davvero pronto a usare l’AI nel tuo lavoro: fai il test gratuito → https://spiegamelofacile.com/audit/form-v4 -- Se il video ti è stato utile, iscriviti. Per il resto 👉 https://marcomontemagno.com 👉https://spiegamelofacile.com Ogni sabato mattina, nella tua casella: un…
Large language model (LLM) agents can solve complex interactive tasks, yet reasoning and tool calls take time. In continuously changing environments, an otherwise correct action may arrive too late. We introduce RealtimeBench, with 180 tasks across…
This paper challenges the understanding capabilities of existing AI paradigms and emerging world models by asking a fundamental question: How quickly can reality change before an intelligent system can no longer reliably perceive, reason, and act? We…
In LLM-based multi-agent systems (MAS), a local mistake can propagate as other agents build on it, turning a correctable error into a failed task. Diagnosing completed runs or repeatedly re-executing them to search for corrections does not provide a…
Agent skills turn procedural knowledge into reusable artifacts, allowing LLM agents to accumulate and refine expertise through experience. Building on this, skill evolution iteratively improves skills using execution feedback. However, improvement may…
Large multimodal models have achieved remarkable progress by scaling model capacity and training on massive paired multimodal data. However, this paradigm introduces a fundamental bottleneck: aligned multimodal datasets are expensive to curate…
Where to start with agent evals, offline vs online evals, evaluator types, LLM judges, benchmarks with Harbor, multi-turn evals, and keeping costs down.
New voices. Better accents. And less "checking..." GPT-Live-1.1 brings these updates to Voice in ChatGPT, Codex, and dots, with new voices in French, German, Hindi, Mexican Spanish, Korean, and Japanese. Rolling out today to all users. Coming soon to the API.
What is Chatway MCP? It's a connector for AI agents in Chatway inboxes, similar to automation tools. You'll understand its capabilities and what's missing.
Under the accelerated pace of AI development, any benchmark whose difficulty is calibrated with humans or current AI systems becomes circular, or saturates soon. How can we then evaluate machines that may become more capable than the current machines…
The rapid advancement of Large Language Models (LLMs) has driven their deployment toward general-purpose harness environments, where LLM-based agents operate in sandbox workspaces and interact directly with file systems and shells. While numerous…
Long-horizon terminal benchmarks measure whether an agent can sustain progress through extended workflows with process rewards, not only whether its final state passes a binary check. We present Long-Horizon-Terminal-Bench 2.0 (LHTB 2.0), an extension…
VETNET represents an ecosystem of live benchmark datasets and evaluation frameworks designed to accelerate AI-driven innovation in animal science and veterinary medicine through standardized, high-quality datasets and multi-institutional collaboration…
Organisations that want language-model agents for security work face a choice between open-weight models, which they can run and audit themselves, and far more expensive closed frontier models. We study that choice on CTI-REALM (arXiv:2603.13517), a…
Fallo UNA VOLTA. Ogni AI lavorerà meglio per te quindi Fallo UNA VOLTA e ogni AI lavorerà meglio per te: ChatGPT, Claude, Gemini o quella che userai tra cinque anni. Costruisci la tua Piramide del Contesto e smetti di rispiegare all'AI chi sei a ogni chat. È il context engineering spiegato…
Dropstone CLI integrates autonomous AI agents directly into your shell to execute complex file system commands and automate repetitive terminal workflows.
AI systems can route messages, update records, make decisions, and trigger entire workflows across multiple apps without you touching anything. But as AI shifts more and more from being an assistive tool to powering agentic systems, humans have a new kind of responsibility: making sure nothing goes…
You've probably already subscribed to ChatGPT. Maybe your company rolled out Copilot. Your developer friends won't shut up about Claude. All the noise is confusing: which one should you actually use for your work? The answer depends on the actual task. The AI that's perfect for writing may fall…
When OpenAI launched ChatGPT in late 2022, tech writers (myself included) became obsessed with testing its limits. Could it write poetry? Debug code? Explain quantum physics to a five-year-old? Once Anthropic's Claude entered the scene a few months later, the focus shifted to head-to-head task…
The best AI agents are evaluated here to help you select the right automation platform for your specific business workflows and technical requirements.
Open models and llm-d enabled IBM Research to explore quantum error correction hardware at 11.5× lower inference cost than an all-proprietary configuration.
❤️ Check out Lambda here and sign up for their GPU Cloud: https://lambda.ai/papers 📝 The papers are available here: https://openai.com/index/sharing-ai-progress-in-mathematics/ https://github.com/openai/math 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers…
Tutti usano l'AI. Quasi nessuno ci guadagna. Clip estratta dall'intervista fatta a Bruno Giussani su What’s Next, il podcast su tecnologia e innovazione raccontati, con un tocco umano, da chi li vive ogni giorno. Guarda l'intervista completa: https://www.youtube.com/watch?v=uETlIzQSJhQ #short
Companies in France are deploying agentic computing across industries spanning space, financial services, the public sector and scientific research, demonstrating how the country’s ecosystem has moved from ambition to application. France’s progress sits on deliberate groundwork. The AI Action…
“Now you know and now you can take action before someone else knows.” A weakness in your code can be part of a much bigger attack. Seeing how those weaknesses connect gives defenders a clearer picture of where to act. Block’s Chief Information Security Officer, James Nettesheim, shares how OpenAI’s…
“Now you know and now you can take action before someone else knows.” A weakness in your code can be part of a much bigger attack. Seeing how those weaknesses connect gives defenders a clearer picture of where to act. Block’s Chief Information Security Officer, James Nettesheim, shares how OpenAI’s…
The Chromium codebase is millions of lines long and decades old. In the past, working with it has meant navigating decades of tangled features, where touching one component can unexpectedly affect another. Erik Chen, an engineer at Google, is using Gemini 4 Argon to ‘untangle’ the architecture. The…
In an internal test, Google DeepMind robotics researchers instructed Gemini 4 Argon to watch a video of a human playing cornhole. Using its video understanding and advanced reasoning capabilities, Gemini 4 built a virtual simulation in MuJoCo and accurately calculated the physics and whole-body…
Auditing chemistry literature usually means weeks of manual, error-prone reading, where a molecule’s structure can sit 50 pages away from its experimental readout. At Isomorphic Labs, researchers Brian Bender and Santosh Adhikari are using Gemini 4 Argon’s multimodal capabilities to help tackle…
Every weekday at 8am, this workflow searches the day's AI news, scores every article for materiality at about $0.00004 apiece, and posts one cited brief per topic to Slack. Topics with no real news get no post.
Deploying these systems on private servers ensures complete control over sensitive data and operational logic without relying on third-party cloud providers.
Private AI workflow automation keeps sensitive corporate data behind internal firewalls. You will be able to configure secure, self-hosted environments.
Gemini 4 Argon just dropped, and n8n is one of the first companies to use and integrate the model. Check out how you can use it with your existing n8n workflows and how to build new ones. Here are the benchmarks Google published: Benchmarks reported by Google. Source: Gemini 4
ChatGPT dots don't come as a surprise. Always-on agents have been the next frontier AI since OpenClaw caused a run on Mac minis back in January 2026. OpenAI even hired OpenClaw's developer, Peter Steinberger. And OpenAI isn't alone in this: Meta has Muse, Gemini has Spark, and Anthropic is…
AI agents depend on repeated decisions to accomplish tasks, with large language models (LLMs) commonly serving as their core decision makers. The recent emergence of Jev offers an opportunity to make these decisions faster and at lower cost. However…
As large language models (LLMs) acquire advanced biological design capabilities, they offer substantial research benefits but simultaneously introduce severe dual-use risks, such as engineering enhanced pathogens or drug-resistant bacteria. While…
Question answering over large heterogeneous document collections requires first finding the right passages and then reading them, yet current retrieval-augmented agents give one model both kinds of tools and let it schedule itself. We present…
World models enable large language model (LLM) agents to anticipate action effects and make informed decisions. For generalization, it is desirable for such world models to transfer efficiently to new environments with similar interaction structure…
Designing tool-integrated reasoning agent systems for complex chemical tasks remains a fundamental challenge. Although recent chemical agents have demonstrated promising performance through the integration of external tools, they are still built on…
Come creare un sito spettacolare con GPT-6 Astra e ChatGPT, senza scrivere una riga di codice: dal brief detto a voce al sito online, con foto e video creati con l'AI e un video che avanza mentre scorri la pagina. In questo tutorial costruiamo da zero il sito di Poggio Adagio, un casale in Val…
#adv Prova ChatLLM di Abacus AI a questo link: http://chatllm.abacus.ai/rgf Compra il mio corso base "Crea un Agente AI con Claude Code": https://www.raffaelegaito.com/claude-code-crea-agente-ai-corso-completo/?landing=true Compra il mio corso intermedio “Fai il passo successivo con Claude Code”…
What does AI mean for scientific discovery? Sinéad Bovell sits down with Google Research’s Lizzie Dorfman and Michael Brenner. From the discovery of bacteria to the development of antibiotics, breakthroughs in science have always depended on tools that expand what humans can observe and calculate…
In Italia ci sono 14.840 imprese che fanno dell'intelligenza artificiale il proprio mestiere (InfoCamere e Università di Padova, dati a fine 2025). Quasi tutte micro, oltre il 70% nate tra il 2021 e il 2025. Il dato che mi ha colpito: in queste aziende il costo mediano del lavoro è più alto del 74%…
Selecting the appropriate artificial intelligence infrastructure requires balancing computational requirements with the need for long-term system flexibility.
LLM agents can execute increasingly complex tasks, but effective assistance also requires aligning their actions with goals and constraints that users may leave unstated. We study this problem as interactive intent alignment through clarification. Yet…
Self-evolving LLM agents typically improve how they act through accumulated experience, reflection, or skills. Yet even procedurally capable agents can fail when their beliefs about environment dynamics are incomplete, incorrect, or outdated. We study…
Understanding and manipulating spatial relations is fundamental to AI systems that reason about physical environments and construct grounded world models. However, existing evaluations of multimodal large language models (MLLMs) for spatial reasoning…
This paper introduces MathVis, a benchmark designed to evaluate LLMs' ability to visualize frontier mathematical problems and perform diagram-assisted reasoning. The benchmark consists of 512 tasks, each comprising a mathematical statement, a…
We present SmartSalesBench, the first multi-turn conversational benchmark explicitly designed to evaluate large language model (LLM) sales agents against psychologically grounded, resistant buyer personas. Existing task-oriented dialogue benchmarks…
The GPT-6 Sol launch introduces tiered token pricing that allows developers to calculate exact operational savings for high-volume automation workflows.
GPT-6 Luna streamlines complex business tasks by prioritizing high-speed execution over deep reasoning. You can determine if this model fits your stack.
Che diavolo è successo a Google Gemini? A febbraio Google aveva l'AI più forte del mondo, oggi insegue Claude e ChatGPT. E Gemini 4 Argon, per ora, lo usano in pochissimi. In questo video ricostruisco otto mesi di corsa all'intelligenza artificiale: il Gemini 3.5 Pro annunciato al Google I/O e mai…
Sophos CTO John Peterson shares how agents built through OpenAI Daybreak combine AI with Sophos’s cybersecurity expertise to reduce average response time from 38 minutes to 89 seconds for cases using those agents. Hear how Sophos is helping its MDR team investigate threats faster, protect customers…
Compra il mio corso base "Crea un Agente AI con Claude Code": https://www.raffaelegaito.com/claude-code-crea-agente-ai-corso-completo/?landing=true Compra il mio corso intermedio “Fai il passo successivo con Claude Code”…
Utilizza il codice sconto MONTY su https://www.hostinger.com/montyonline Questo video è supported by Hostinger #adv Scopri in 2 minuti quanto sei davvero pronto a usare l’AI nel tuo lavoro: fai il test gratuito → https://spiegamelofacile.com/audit/form-v4 -- Se il video ti è stato utile, iscriviti…
What is Mistral Large 4 and how does it compare to industry-leading AI models? Use these technical specifications to choose the right LLM for your project.
Step 5 Preview capabilities allow engineers to evaluate if this architecture meets their specific requirements for complex, multimodal automation tasks.
Knowledge Graph (KG) quality depends not only on downstream graph validation, but also on the quality of tabular metadata used before integration. In metadata-only Semantic Table Interpretation (STI), where cell values are unavailable, noisy, or…
Tool-calling agents have become central to enterprise AI, yet training and evaluating them at scale remains severely constrained due to business and legal restrictions on enterprise systems, data, and database schemas. Tabular data synthesis offers a…
Self-improving LLM agents can adapt a credit pipeline to a changed rule, but an agent that rewrites itself destroys the artefact a supervisor reviews: a named change, a recorded test, an approval. We argue that self-evolution is reviewable only if it…
We study whether small LLM agents can operate effectively under explicit wall-clock time budgets by both respecting the allocated runtime and using available time productively. We evaluate Qwen3.6-27B on five competitions from MLE-Bench Lite and…
Human communities are governed by normative systems: shared standards that produce \textit{norms} dictating acceptable behavior, enforced through community sanctioning. Aligning increasingly autonomous AI systems with these norms is a central…
La RIVOLUZIONE dell'AI di cui Nessuno Parla (Jev Spiegato semplice) perché Jev di TypeSafe AI è la rivoluzione dell'AI di cui nessuno parla: un'intelligenza artificiale che non scrive, decide. Te la spiego in modo semplice e la provo su casi veri della mia agenzia. Dietro Jev c'è Diogo Almeida, uno…
Spesso ci rivolgiamo agli strumenti di intelligenza artificiale con richieste vaghe e sbrigative, aspettandoci risposte perfette come per magia. La verità è che il buon senso, la definizione dei confini e la capacità di specificare dettagli fanno tutta la differenza del mondo. Il modo in cui poni le
GPT‑6 in ChatGPT introduces Intelligent UI, a new capability that allows ChatGPT to answer quickly with fully interactive user interfaces that make everyday answers more visual, make learning complex topics easier and that can quickly create a tool to solve a task right in the moment. GPT‑6 with…
“We’ve gone from zero to 100, not zero to 60.” Jan Ackerman shares how Oracle built a talent market intelligence tool with ChatGPT Work to transform hiring preparation. Starting with a job description, it researches comparable roles, benchmarks compensation, and assesses talent pools across…
GPT‑6 in ChatGPT introduces Intelligent UI, a new capability that allows ChatGPT to answer quickly with fully interactive user interfaces that make everyday answers more visual, make learning complex topics easier and that can quickly create a tool to solve a task right in the moment. GPT‑6 with…
GPT‑6 in ChatGPT introduces Intelligent UI, a new capability that allows ChatGPT to answer quickly with fully interactive user interfaces that make everyday answers more visual, make learning complex topics easier and that can quickly create a tool to solve a task right in the moment. GPT‑6 with…
“We’ve gone from zero to 100, not zero to 60.” Jan Ackerman shares how Oracle built a talent market intelligence tool with ChatGPT Work to transform hiring preparation. Starting with a job description, it researches comparable roles, benchmarks compensation, and assesses talent pools across…
GPT‑6 in ChatGPT introduces Intelligent UI, a new capability that allows ChatGPT to answer quickly with fully interactive user interfaces that make everyday answers more visual, make learning complex topics easier and that can quickly create a tool to solve a task right in the moment. GPT‑6 with…
Anthropic's Claude family has four primary models: Haiku, Sonnet, Opus, and Fable. (There's also Mythos, but the general public doesn't have access to that.) All four Claude models are incredibly capable. Even the smallest model, Haiku, is better than the best frontier models from two years ago. Thi
LLM evaluation platforms require balancing framework integration with testing flexibility. Engineering leads can select the right tool for their stack.
Understanding what is power automation enables teams to identify which redundant administrative tasks can be fully delegated to autonomous software agents.
I have two voices in my head when it comes to new tech. One is the wide-eyed optimist who wants to try every tool and click every AI button. The other wants to delete every app on my phone, move to a cabin in the woods, and write by candlelight. There's no doubt AI is exciting. It's already helping
As a writer covering technology and AI, I spend plenty of time separating useful information from the hype. A good AI newsletter can help cut through that noise. But the best newsletter depends on what you need. Someone making AI strategy decisions needs different coverage than someone looking for…
Agentic memory allows LLM agents to reuse past experience, yet retrieved memories can also distort inference even when they are benign, correctly stored, and appropriately retrieved. We study this failure mode, which we call memory over-reliance. Acros
Deciding when to escalate a query from a small language model to a larger one requires a cheap signal that predicts, before the large model is called, whether escalating would help. Semantic entropy, originally developed to detect hallucinations, is a
Large language model (LLM) agents increasingly operate in interactive environments, where they need to make sequential decisions through observation, action, and feedback. Although memory can help agents reuse experience, existing work designs memory i
Field-effect transistor (FET) layouts on exfoliated two-dimensional flakes are typically drawn by hand for each flake, placing contacts and gates to match its position and outline in optical micrographs. To our knowledge, no executable benchmark tests
Explicitly eliciting reasoning substantially improves LLM performance. Existing approaches require a predefined characterization of reasoning, whether through CoT prompt design, contrastive CoT directions, or via SAE derived reasoning features. For mat
Traditional data pipelines are notoriously brittle, often failing due to upstream schema drift, API contract changes, or website DOM modifications. Present observability tools only raise alerts but for human engineers, resulting in a high Mean Time to
Task planning for LLM agents requires workflows that satisfy both user intent and complex sub-task dependencies. While existing planners work well for sequential or directed acyclic graph (DAG)-like structures, they struggle with workflow patterns such
The Offline AI Modules workstream enables practical, low-power, and community-accessible deployment of voice-first AI systems that operate fully offline. Designed for African language communities where speech is the dominant mode of interaction and int
Logic programming is increasingly used as the symbolic component of neurosymbolic AI systems. We survey the main rule-based languages in this setting, namely Datalog, answer set, and probabilistic logic programs, along four axes: semantics, expressiven
Large language models (LLMs) are increasingly used to judge how well an advertisement matches a query, but the fairness of these judgments has received limited attention. We conduct a systematic study of fairness in relevance judgments made by LLMs for
Aerospace electrical-design revisions can contain multiple genuine changes, although an engineering request may authorize only a subset. Propagating every detected difference can therefore produce overly broad impact reports. We present LOGIC, a contro
We evaluate whether AI agents can match the reported findings of published biomedical studies using public data. Existing evaluations do not consistently separate analysis from prior knowledge or retrieval of the published answer. We introduce BioStudy
Conversational AI assistants with long-term memory extract facts from user messages into a store consulted in later conversations. A stated plan can enter that store as fact: a user who might move to Seattle may be recorded as already living there. We
The rapid progress of LLM-based multi-agent systems (MAS) has shown that they largely outperform single agents on coding, math, and QA tasks, where executable tests provide a binary success signal. Whether this advantage transfers to real scientific da
We present Open Telco (OTel), an open telecom AI resource that releases derived telecom datasets for retrieval, reranking, instruction tuning, and safety/abstention, together with 30 full-parameter post-trained baselines spanning 10 embedding models, 3
Multi-agent systems (MAS) powered by large language models have shown strong performance across code generation, mathematical reasoning, and question answering. However, existing methods for automating MAS design mostly operate at the task level, produ
Agentic workflows enable large language models (LLMs) to solve complex tasks by coordinating reasoning, tool use, and verification. However, a workflow optimized for an entire task collection can overlook differences in the reasoning strategies that in
LLM agents are increasingly capable of executing complex tasks and of recursively improving themselves on easy-to-verify objectives such as software engineering and mathematics. Since alignment is much harder to verify, this creates a growing risk of c
AI agents are increasingly being programmed to automate knowledge work over large collections of unstructured data. Such automation requires repeatability: when the underlying evidence is unchanged, the agent's categories, priorities, and counts should
LLM agents often lack the operational knowledge to act reliably in new environments, as they must discover specific tool behaviors or environment conventions on their own. Without memory of past attempts, they repeat the same mistakes across tasks, lea
Frontier LLM agents have been shown to be capable of solving increasingly complex tasks for which humans have measurable solutions. This begs the pertinent question of whether LLM agents can go beyond what humans have already solved. The ability to dev
Natural-language access to RDF knowledge graphs is a core Semantic Web ambition. Large language models (LLMs) have advanced Text-to-SPARQL, yet on unfamiliar graphs they often generate valid queries that misrepresent the populated data model. QRAKEN is
Conversational MLLM agents are increasingly expected to assist in professional workflows, from AI research and engineering design to product management and business operations. Yet this capability remains underexplored: existing benchmarks largely focu
Learning from experience is essential for LLM agents to adapt to unfamiliar and dynmaic environments. Evaluating this ability is therefore important for understanding how effectively agents acquire and use new knowledge. Existing benchmarks have sought
Frontier large language models (LLMs) can generate heuristic functions that guide search to achieve state-of-the-art performance in satisficing planning, where any plan is acceptable. However, these heuristics are not guaranteed to be admissible and ca
Large language models are increasingly used to simulate clients for counselor training and psychological counseling research, but reliable simulation requires clients to remain psychologically coherent across extended interactions. Existing…
Auditing the claimed outcomes of large language model (LLM) training is challenging when model weights and training data are private, while cryptographically proving the full training process is prohibitively expensive at Transformer scale. We present…
Large language models (LLMs) have shown promise in medical question answering and clinical reasoning, yet their improvement remains constrained by static parametric knowledge and costly expert supervision. Self-evolving agents offer a promising…
We present an AI-assisted Lean 4 formalization of the Poincar\'e conjecture. The project began with limited reusable formal infrastructure for the geometric analysis behind the proof. To organize this work, we combined a proof blueprint prepared by…
Frontier AI evaluations increasingly use open-ended, agentic, long-horizon tasks whose transcripts can span hundreds of pages of outputs and actions from complex multi-agent networks. The observability envelop-the range of what evaluators can reliably…
Large language model agents are accelerating scientific automation, yet verified executions rarely become persistent program-level improvements, and existing evaluations do not examine this process across sequential tasks in both the natural and…
LLM-based agents are increasingly advancing scientific and engineering problem solving, with physics simulation emerging as a challenging yet practical testbed for reproducing complex physical phenomena with application in embodied AI, games and…
Large language models (LLMs) have become increasingly capable problem solvers, but being able to solve a problem is not the same as being able to teach it. Existing approaches to training LLMs as teachers rely on demonstrations, preference data, or…
Evolution Strategies (ES) enable memory efficient full parameter fine-tuning of large language models (LLMs) using only forward computation. However, standard ES uniformly averages rewards across problems and compresses problem level population…
LLM agents increasingly act in multi-actor environments, exposing them to misuse from multiple sources: decomposition attacks, where a harmful request is split into innocuous sub-requests, and prompt injection attacks, where a compromised tool…
Recent advances in multimodal foundation models yield strong performance on static perception and reasoning benchmarks, yet such evaluations largely overlook a central aspect of intelligence: acting competently in dynamic environments over extended…
Croissant has emerged as a standard for machine-readable dataset metadata, yet populating its fields remains labor-intensive and requires careful reading of accompanying dataset documentation. We present the first benchmark enabling end-to-end…
Modern edge Systems-on-Chip (SoCs) integrate heterogeneous processing units (PUs) such as CPUs, GPUs, and NPUs, each with distinct performance and energy characteristics. Deploying AI inference workloads on them under real-time latency and energy…
Enterprise AI agents that share a memory store face two unaddressed risks: sensitive data can leak through legitimately computed results the requester could not derive, and departments can silently compute a same-named key performance indicator…
Manual repair of program failures is time-consuming and disruptive for software developers, particularly during the pre-submit phase where test failures occur within continuous integration systems. While Automated Program Repair has seen significant…
Radisson partnered with Accenture to build a ChatGPT plugin using OpenAI technology, helping travelers find, compare, and book hotels while planning their trips.
ChatGPT just got a lot more visual—introducing Intelligent UI. Intelligent UI allows ChatGPT to answer quickly with fully interactive user interfaces that make everyday answers more visual. It makes learning complex topics easier, and it quickly creates tools to solve a task right in the moment. Oh,
Explore plugin extensions through Meetings and OpenAI Developers. See how a custom interface can live beside a conversation and bring selected context into your work with ChatGPT.
See how OpenAI’s teams use ChatGPT to manage launches, research competitors, and turn expertise into tools. Take practical ideas back to your own work.
Add custom annotation controls and suggested prompts to your website. See how these work with WebMCP to help users edit a scene and enrich expense records using context available to their agent in ChatGPT.
GPT‑6 is rolling out globally in ChatGPT with Intelligent UI, delivering faster responses with visuals and interactive experiences you can explore and use directly.
See how Qodo uses OpenAI to review AI-generated code. Explore an adversarial reviewer that challenges coding agents’ assumptions and output, and learn when model confidence still needs human judgment.
Scopri in 2 minuti quanto sei davvero pronto a usare l’AI nel tuo lavoro: fai il test gratuito → https://spiegamelofacile.com/audit/form-v4 -- Se il video ti è stato utile, iscriviti. Per il resto 👉 https://marcomontemagno.com 👉https://spiegamelofacile.com Ogni sabato mattina, nella tua casella: un
The best AI tools of 2026 are evaluated based on their ability to integrate disparate software ecosystems into a single, cohesive operational pipeline.
Recent advances in Large Language Models (LLMs) have demonstrated remarkable capabilities in web front-end execution, with browser-based game generation emerging as a particularly prominent frontier. While previous efforts frequently rely on complex m
Artificial intelligence has advanced individual radiotherapy tasks, yet these capabilities remain separated across clinical stages, software environments and data modalities. This fragmentation contrasts with the longitudinal radiotherapy workflow fro
The rapid proliferation of heterogeneous data sources within the Internet of Things (IoT) across domains such as smart cities, energy management, and environmental monitoring necessitates efficient and scalable data standardization methods. Effective
Wrapping an image generation model in an agentic harness can effectively boost Text-to-Image task performance: the harness can leverage memory, skills, workflow orchestration, result verification, and iterative refinement to continually construct and
A team of coding agents can look fine agent by agent yet fail as a team: each passes its own tests while the merged result is broken, and single-agent evaluation never catches it. As teams run several LLM coding agents in parallel on one codebase, the
Google ha annunciato Gemini 4 Argon, ma perché non puoi ancora usarlo? Oltre 50 novità AI tra ChatGPT, Claude, agenti autonomi e strumenti per lavorare meglio.
In questa puntata di AI News analizziamo il nuovo modello di Google: cosa promette, chi può accedervi e cosa emerge dal confronto tra i ben
OpenAI publishes new results on open problems in mathematics from an internal frontier model and shares Lean proof formalizations and research details on GitHub.
Introducing the Decisions API: a fast way to turn text and images into actions in your app. Give the model an input, define a question and the possible answers, and use its choice to decide what happens next. Powered by GPT-6 Luna, the Decisions API focuses on a small set of choices to make interact
Anyone who lives in the Google ecosystem has probably used Gemini for a quick draft or a fast answer. (Or if you're like me, you've been driven to your limit by the Google Docs popups encouraging you to use AI whenever your cursor strays too close to the bottom of the screen.) But a chat window is j
Every capability that made Zapier Agents powerful—tool calling, reasoning, autonomous action—now lives inside a single AI step in the Zap editor, using AI by Zapier. Here, I'll map each Zapier Agents feature to its equivalent in AI by Zapier, so if you're coming from Zapier Agents, you know exactly
Clip estratta dall'intervista fatta ad Armando Bisogno su What’s Next, il podcast su tecnologia e innovazione raccontati, con un tocco umano, da chi li vive ogni giorno. Guarda l'intervista completa: https://www.youtube.com/watch?v=4VpAuIZK5Rg #short
L'AI UCCIDERÀ Hollywood? Sono Andato a Scoprirlo con Google se L'AI ucciderà Hollywood? Sono andato a scoprirlo con Google, alla Mostra del Cinema di Venezia 2026.
Google mi ha invitato per due giorni alla Google Beach del Lido: talk, demo e incontri dietro le quinte con Google, YouTube e chi il ci
Clip estratta dall'intervista fatta ad Adrian Fartade su What’s Next, il podcast su tecnologia e innovazione raccontati, con un tocco umano, da chi li vive ogni giorno. Guarda l'intervista completa: https://www.youtube.com/watch?v=N0HvO_CQdfo #short
The concept of "less is more" doesn't seem to have made it to Silicon Valley. Every time I blink, it seems like there's yet another AI agent available on the market. And right on cue, another AI bombshell has entered the villa: Muse is a personal AI agent from Meta (of Facebook fame) that can do thi
Gemini is everywhere in Google apps: it can read your emails, pull in data from your calendar, and find that file you accidentally saved to your work Drive. But no matter how much of your work is in Google, there are always other apps you'll need Gemini to access: things like your CRM, project manag