Agregátor RSS

Microsoft on Tuesday revealed that two security flaws impacting Windows NT LAN Manager (NTLM) and Task Scheduler have come under active exploitation in the wild. The security vulnerabilities are among the 90 security bugs the tech giant addressed as part of its Patch Tuesday update for November 2024. Of the 90 flaws, four are rated Critical, 85 are rated Important, and one is rated Moderate in

Microsoft on Tuesday revealed that two security flaws impacting Windows NT LAN Manager (NTLM) and Task Scheduler have come under active exploitation in the wild. The security vulnerabilities are among the 90 security bugs the tech giant addressed as part of its Patch Tuesday update for November 2024. Of the 90 flaws, four are rated Critical, 85 are rated Important, and one is rated Moderate in Ravie Lakshmananhttp://www.blogger.com/profile/[email protected]

The Iranian threat actor known as TA455 has been observed taking a leaf out of a North Korean hacking group's playbook to orchestrate its own version of the Dream Job campaign targeting the aerospace industry by offering fake jobs since at least September 2023. "The campaign distributed the SnailResin malware, which activates the SlugResin backdoor," Israeli cybersecurity company ClearSky said Ravie Lakshmananhttp://www.blogger.com/profile/[email protected]

Výtěžnost druhé generace 3nm procesu společnosti Samsung (SF3 / 3GAP) měla dosahovat kolem 70 %, reálně však dosahuje méně než třetiny tohoto cíle, jen kolem 20 %…

Virtualizační softwary VMware Fusion a VMware Workstation jsou nově zdarma i pro komerční použití.

Po necelých 4 měsících vývoje od vydání verze 6.6 byla vydána nová verze 6.7 svobodného open source redakčního systému WordPress. Kódové jméno Rollins bylo vybráno na počest amerického jazzového saxofonisty Sonnyho Rollinse (YouTube).

Don't be a turkey – get these fixed

Patch Tuesday  Patch Tuesday has swung around again, and Microsoft has released fixes for 89 CVE-listed security flaws in its products – including two under active attack – and reissued three more.…

Ohm, for flux sake

China's Volt Typhoon crew and its botnet are back, compromising old Cisco routers once again to break into critical infrastructure networks and kick off cyberattacks, according to security researchers.…

22-year-old talked of 'culling the weak minded' – hmm!

A former Air National Guard member who stole classified American military secrets, and showed them to his gaming buddies on Discord, has been sentenced to 15 years in prison.…

​Microsoft has fixed several bugs that cause install, upgrade, and Blue Screen of Death (BSOD) issues on Windows Server 2025 devices with a high core count. [...]

Přehled říjnových vydání Jaderných novin: stav vydání jádra, citáty týdne a seznam článků týkajících se jádra.

Stávající věnostní program Svět odměn končí, na útratu nasbíraných bodů máte dostatek času. Nově přibyly podmínky pro lepší ceny služeb nebo úrokových sazeb. Musíte ČSOB používat aktivně.

Na Univerzitě Pardubice jsme se rozhodli nasadit IPv6 only síť na eduroamu. Získané zkušenosti nyní sdílím, protože mi při práci chyběl komplexní návod, který by spojil jednotlivé služby do jednoho řešení.

Pravidelná středeční sonda do světa software. Dnes se společně podíváme na vizuální editor webových aplikací, vytrénujeme si jazykový model a nakonec si necháme vytvořit odhad spotřeby energie.

Převoz antihmoty je možná ta největší noční můra logistiky, jakou si lze v dnešní době představit. Fyzici ale chtějí vozit antihmotu po celé Evropě. Vyvinuli si mobilní past na antihmotu BASE-STEP, se kterou v úvodním experimentu úspěšně převezli 70 volně poletujících protonů. Antihmota přijde na řadu příští rok.

Do vydání úspornějších modelů Intel Core Ultra / Arrow Lake s 35W-65W TDP zbývají poslední dva měsíce. Ukazuje se, že specifikace některých modelů mohou být zajímavější, než se předpokládalo…

In the 2016 science fiction movie Arrival, a linguist is faced with the daunting task of deciphering an alien language consisting of palindromic phrases, which read the same backwards as they do forwards, written with circular symbols. As she discovers various clues, different nations around the world interpret the messages differently—with some assuming they convey a threat.

If humanity ended up in such a situation today, our best bet may be to turn to research uncovering how artificial intelligence develops languages.

But what exactly defines a language? Most of us use at least one to communicate with people around us, but how did it come about? Linguists have been pondering this very question for decades, yet there is no easy way to find out how language evolved.

Language is ephemeral, it leaves no examinable trace in the fossil records. Unlike bones, we can’t dig up ancient languages to study how they developed over time.

While we may be unable to study the true evolution of human language, perhaps a simulation could provide some insights. That’s where AI comes in—a fascinating field of research called emergent communication, which I have spent the last three years studying.

To simulate how language may evolve, we give AI agents simple tasks that require communication, like a game where one robot must guide another to a specific location on a grid without showing it a map. We provide (almost) no restrictions on what they can say or how—we simply give them the task and let them solve it however they want.

Because solving these tasks requires the agents to communicate with each other, we can study how their communication evolves over time to get an idea of how language might evolve.

Similar experiments have been done with humans. Imagine you, an English speaker, are paired with a non-English speaker. Your task is to instruct your partner to pick up a green cube from an assortment of objects on a table.

You might try to gesture a cube shape with your hands and point at grass outside the window to indicate the color green. Over time, you’d develop a sort of proto-language together. Maybe you’d create specific gestures or symbols for “cube” and “green.” Through repeated interactions, these improvised signals would become more refined and consistent, forming a basic communication system.

This works similarly for AI. Through trial and error, algorithms learn to communicate about objects they see, and their conversation partners learn to understand them.

But how do we know what they’re talking about? If they only develop this language with their artificial conversation partner and not with us, how do we know what each word means? After all, a specific word could mean “green,” “cube,” or worse—both. This challenge of interpretation is a key part of my research.

Cracking the Code

The task of understanding AI language may seem almost impossible at first. If I tried speaking Polish (my mother tongue) to a collaborator who only speaks English, we couldn’t understand each other or even know where each word begins and ends.

The challenge with AI languages is even greater, as they might organize information in ways completely foreign to human linguistic patterns.

Fortunately, linguists have developed sophisticated tools using information theory to interpret unknown languages.

Just as archaeologists piece together ancient languages from fragments, we use patterns in AI conversations to understand their linguistic structure. Sometimes we find surprising similarities to human languages, and other times we discover entirely novel ways of communication.

These tools help us peek into the “black box” of AI communication, revealing how AI agents develop their own unique ways of sharing information.

My recent work focuses on using what the agents see and say to interpret their language. Imagine having a transcript of a conversation in a language unknown to you, along with what each speaker was looking at. We can match patterns in the transcript to objects in the participant’s field of vision, building statistical connections between words and objects.

For example, perhaps the phrase “yayo” coincides with a bird flying past—we could guess that “yayo” is the speaker’s word for “bird.” Through careful analysis of these patterns, we can begin to decode the meaning behind the communication.

In the latest paper by me and my colleagues, set to appear in the conference proceedings of Neural Information Processing Systems (NeurIPS), we show that such methods can be used to reverse-engineer at least parts of the AIs’ language and syntax, giving us insights into how they might structure communication.

Aliens and Autonomous Systems

How does this connect to aliens? The methods we’re developing for understanding AI languages could help us decipher any future alien communications.

If we are able to obtain some written alien text together with some context (such as visual information relating to the text), we could apply the same statistical tools to analyze them. The approaches we’re developing today could be useful tools in the future study of alien languages, known as xenolinguistics.

But we don’t need to find extraterrestrials to benefit from this research. There are numerous applications, from improving language models like ChatGPT or Claude to improving communication between autonomous vehicles or drones.

By decoding emergent languages, we can make future technology easier to understand. Whether it’s knowing how self-driving cars coordinate their movements or how AI systems make decisions, we’re not just creating intelligent systems—we’re learning to understand them.

This article is republished from The Conversation under a Creative Commons license. Read the original article.

Image Credit: Tomas Martinez on Unsplash

Google Chrome 131 byl prohlášen za stabilní. Nejnovější stabilní verze 131.0.6778.69 přináší řadu novinek z hlediska uživatelů i vývojářů (YouTube). Podrobný přehled v poznámkách k vydání. Opraveno bylo 12 bezpečnostních chyb. Vylepšeny byly také nástroje pro vývojáře.

Microsoft has disclosed a high-severity Exchange Server vulnerability that allows attackers to forge legitimate senders on incoming emails and make malicious messages a lot more effective. [...]