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The vibes are off at OpenAI

The Verge β€’

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Ai

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Iran demands cryptocurrency toll from tankers passing through Strait of Hormuz

Ars Technica β€’

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Volkswagen begins testing its self-driving microbuses in Los Angeles ahead of launch with Uber

TechCrunch β€’

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5 Burning Questions About Elon Musk’s Terafab Chip Partnership with Intel

WIRED β€’

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'This creates a layered form of obfuscation': New report says criminals are using emojis to avoid detection

TechRadar β€’

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Anthropic’s New Product Aims to Handle the Hard Part of Building AI Agents

WIRED β€’

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Italy

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Pierluigi Tortora (Plt): β€œLicenziamento di Lovaglio da direttore generale di Mps Γ¨ iniziativa infondata e abnorme”

Il Fatto Quotidano β€’

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È il Papa o una rockstar stellare? 15 milioni di euro il costo del viaggio di Leone XIV in Spagna | il commento

Il Fatto Quotidano β€’

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Pierina Paganelli, mi chiedo: per quale motivo la nuora ha scritto un biglietto al giudice?

Il Fatto Quotidano β€’

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Libano, macerie e morti a Beirut: le immagini della devastazione dopo i bombardamenti a tappeto israeliani

Il Fatto Quotidano β€’

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Europa voltagabbana: plaude al cessate il fuoco in Iran, ma dopo gli attacchi di Usa e Israele invocava il regime change

Il Fatto Quotidano β€’

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World

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Über 90 Tote: Israel greift über 100 Ziele im Libanon an

20 Minutes (World) β€’

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Iran Strait of Hormuz warning adds to shipping uncertainty

BBC World β€’

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Watch: Fire damages roof of Rio's Olympic velodrome

BBC World β€’

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Germany news: Lufthansa cabin crew to strike on Friday, UFO trade union says

DW All (EN) β€’

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Β«Riesiges strategisches FiaskoΒ»: Was hat Trump im Iran erreicht?

20 Minutes (World) β€’

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Iran droht, den Trump-Deal wegen Israel platzen zu lassen

20 Minutes (World) β€’

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Elias (5) tot aufgefunden: Bruder (11) steht unter Mordverdacht

20 Minutes (World) β€’

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Der Trump-FlΓΌsterer aus Pakistan: Wer ist Asim Munir?

20 Minutes (World) β€’

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General

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Meloni: 'Irresponsabile colpire Unifil, Israele si fermi in Libano'

Ansa β€’

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Borgonzoni: sul caso Regenii ci aspettiamo le dimissioni dei responsabili

Ansa β€’

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"Un bambino ascoltato sarΓ  un adulto sereno", l'evento di Telefono Azzurro

Ansa β€’

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Frana in Molise, domani in Cdm i primi fondi per l'emergenza

Ansa β€’

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La galassia Maga per Orban, ma la spinta di Vance non basta

Ansa β€’

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Interrail, al via il bando per i giovani per girare l'Ue in treno gratis

Ansa β€’

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'In rotta verso il futuro. Dal 1945'

Ansa β€’

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Italy

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Libano, Crosetto: urgente intervento Onu

RAI News - Latest β€’

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Disposto Appello bis per Impagnatiello

RAI News - Latest β€’

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Tregua Iran, Borse brindano. Milano +3,7%

RAI News - Latest β€’

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Su Beirut "il piΓΉ grande attacco del 2026": panico nelle strade, decine di morti

RAI News – Esteri β€’

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Iran: blocco Hormuz dopo raid in Libano

RAI News - Latest β€’

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Libano, Tajani: "Israele chiarisca attacco a colonna italiana Unifil". Crosetto: "Intervenga Onu"

RAI News – Esteri β€’

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Finisce la fuga di Del Grande, arrestato

RAI News - Latest β€’

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Niente fondi al film su Regeni. Giuli: "Non condivido scelta, ma commissione Γ¨ autonoma"

RAI News – Esteri β€’

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General

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Trump Made a Deal That Gives Him Nothing He Wanted

The Atlantic (General) β€’

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What It Means to Be American

The Atlantic (General) β€’

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America Looks Like a Paper Tiger

The Atlantic (General) β€’

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The Forgotten War That Iran Already Won

The Atlantic (General) β€’

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A New Geopolitical Reality Is Here

The Atlantic (General) β€’

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<em>Scrubs</em> Has a Sneakily Radical Vision of Male Friendship

The Atlantic (General) β€’

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Who Is Black Comedy For?

The Atlantic (General) β€’

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The NBA Isn’t the Same for Everyone

The Atlantic (General) β€’

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OpenAI Blog β€’ β€’ EN
Open β†—

OpenAI Scholars

We’re providing 6–10 stipends and mentorship to individuals from underrepresented groups to study deep learning full-time for 3 months and open-source a project.

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OpenAI Blog β€’ β€’ EN
Open β†—

Ingredients for robotics research

We’re releasing eight simulated robotics environments and a Baselines implementation of Hindsight Experience Replay, all developed for our research over the past year. We’ve used these environments to train models which work on physical robots. We’re also releasing a set of requests for robotics res...

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OpenAI Blog β€’ β€’ EN
Open β†—

OpenAI hackathon

Come to OpenAI’s office in San Francisco’s Mission District for talks and a hackathon on Saturday, March 3rd.

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OpenAI Blog β€’ β€’ EN
Open β†—

OpenAI supporters

We’re excited to welcome new donors to OpenAI.

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OpenAI Blog β€’ β€’ EN
Open β†—

Preparing for malicious uses of AI

We’ve co-authored a paper that forecasts how malicious actors could misuse AI technology, and potential ways we can prevent and mitigate these threats. This paper is the outcome of almost a year of sustained work with our colleagues at the Future of Humanity Institute, the Centre for the Study of Ex...

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OpenAI Blog β€’ β€’ EN
Open β†—

Interpretable machine learning through teaching

We’ve designed a method that encourages AIs to teach each other with examples that also make sense to humans. Our approach automatically selects the most informative examples to teach a conceptβ€”for instance, the best images to describe the concept of dogsβ€”and experimentally we found our approach to...

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OpenAI Blog β€’ β€’ EN
Open β†—

Discovering types for entity disambiguation

We’ve built a system for automatically figuring out which object is meant by a word by having a neural network decide if the word belongs to each of about 100 automatically-discovered β€œtypes” (non-exclusive categories).

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OpenAI Blog β€’ β€’ EN
Open β†—

Requests for Research 2.0

We’re releasing a new batch ofΒ seven unsolved problemsΒ which have come up in the course of our research at OpenAI.

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OpenAI Blog β€’ β€’ EN
Open β†—

Block-sparse GPU kernels

We’re releasing highly-optimized GPU kernels for an underexplored class of neural network architectures: networks with block-sparse weights. Depending on the chosen sparsity, these kernels can run orders of magnitude faster than cuBLAS or cuSPARSE. We’ve used them to attain state-of-the-art results...

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OpenAI Blog β€’ β€’ EN
Open β†—

Learning a hierarchy

We’ve developed a hierarchical reinforcement learning algorithm that learns high-level actions useful for solving a range of tasks, allowing fast solving of tasks requiring thousands of timesteps. Our algorithm, when applied to a set of navigation problems, discovers a set of high-level actions for...

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OpenAI Blog β€’ β€’ EN
Open β†—

Generalizing from simulation

Our latest robotics techniques allow robot controllers, trained entirely in simulation and deployed on physical robots, to react to unplanned changes in the environment as they solve simple tasks. That is, we’ve used these techniques to build closed-loop systems rather than open-loop ones as before.

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OpenAI Blog β€’ β€’ EN
Open β†—

Competitive self-play

We’ve found that self-play allows simulated AIs to discover physical skills like tackling, ducking, faking, kicking, catching, and diving for the ball, without explicitly designing an environment with these skills in mind. Self-play ensures that the environment is always the right difficulty for an...

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OpenAI Blog β€’ β€’ EN
Open β†—

Meta-learning for wrestling

We show that for the task of simulated robot wrestling, a meta-learning agent can learn to quickly defeat a stronger non-meta-learning agent, and also show that the meta-learning agent can adapt to physical malfunction.

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OpenAI Blog β€’ β€’ EN
Open β†—

Learning to model other minds

We’re releasing an algorithm which accounts for the fact that other agents are learning too, and discovers self-interested yet collaborative strategies like tit-for-tat in the iterated prisoner’s dilemma. This algorithm, Learning with Opponent-Learning Awareness (LOLA), is a small step towards agent...

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OpenAI Blog β€’ β€’ EN
Open β†—

OpenAI Baselines: ACKTR & A2C

We’re releasing two new OpenAI Baselines implementations: ACKTR and A2C. A2C is a synchronous, deterministic variant of Asynchronous Advantage Actor Critic (A3C) which we’ve found gives equal performance. ACKTR is a more sample-efficient reinforcement learning algorithm than TRPO and A2C, and requir...

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OpenAI Blog β€’ β€’ EN
Open β†—

More on Dota 2

Our Dota 2 result shows that self-play can catapult the performance of machine learning systems from far below human level to superhuman, given sufficient compute. In the span of a month, our system went from barely matching a high-ranked player to beating the top pros and has continued to improve s...

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OpenAI Blog β€’ β€’ EN
Open β†—

Dota 2

We’ve created a bot which beats the world’s top professionals at 1v1 matches of Dota 2 under standard tournament rules. The bot learned the game from scratch by self-play, and does not use imitation learning or tree search. This is a step towards building AI systems which accomplish well-defined goa...

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OpenAI Blog β€’ β€’ EN
Open β†—

Gathering human feedback

RL-Teacher is an open-source implementation of our interface to train AIs via occasional human feedback rather than hand-crafted reward functions. The underlying technique was developed as a step towards safe AI systems, but also applies to reinforcement learning problems with rewards that are hard...

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OpenAI Blog β€’ β€’ EN
Open β†—

Better exploration with parameter noise

We’ve found that adding adaptive noise to the parameters of reinforcement learning algorithms frequently boosts performance. This exploration method is simple to implement and very rarely decreases performance, so it’s worth trying on any problem.

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OpenAI Blog β€’ β€’ EN
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Proximal Policy Optimization

We’re releasing a new class of reinforcement learning algorithms, Proximal Policy Optimization (PPO), which perform comparably or better than state-of-the-art approaches while being much simpler to implement and tune. PPO has become the default reinforcement learning algorithm at OpenAI because of i...

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