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Article URL: https://crossposter.mochi.is/

Comments URL: https://news.ycombinator.com/item?id=49612502

Points: 1

# Comments: 0

Article URL: https://lemire.me/blog/2026/09/05/ai-programming-a-layered-model/

Comments URL: https://news.ycombinator.com/item?id=49612501

Points: 1

# Comments: 0

Article URL: https://www.texastribune.org/2026/09/04/texas-school-library-books-student-reading-dan-patrick/

Comments URL: https://news.ycombinator.com/item?id=49612471

Points: 3

# Comments: 1

Article URL: https://lemire.me/blog/2026/09/03/python-sets-and-dictionaries-can-have-quadratic-time-performance/

Comments URL: https://news.ycombinator.com/item?id=49612470

Points: 2

# Comments: 0

Article URL: https://www.reddit.com/r/codex/s/psWHRr9864

Comments URL: https://news.ycombinator.com/item?id=49612463

Points: 3

# Comments: 0

Hey there, I’m Brian. I've been shipping conversational models at Tavus for the past two years. I want to tell you about our latest audio-understanding/turn-taking model: Sparrow-2! It’s a new category of model and a unique new approach to conversational flow understanding.

Earlier this year we launched Sparrow-1, (at the time) our SoTA turn-taking model. Since our Sparrow-1 launch, I’ve spent a lot of time listening to humans talking and trying to really understand how people know when to talk, when to listen, and when to wait. I’ve also been hunting down failure modes of the current SoTA models. And while Sparrow-1 is great, there are some failure patterns I see. We tried solving the problems with existing approaches, but solving one problem only created another.

Current turn-taking models (like Sparrow-1) use noise cancellation to strip background sound, leaving only basic prosody and phonetic word cues to manage turns. Non-transcribable audio such as breathing, sighs, and environmental sounds provides critical context that humans use to hold or signal turn changes. This is because these models are primarily focused on verbal activity. Treating non-verbal audio as background noise discards vital conversational data, destroying the natural flow of dialogue.

Now, with Sparrow-2, instead of modelling just the primary speaker’s verbal audio, we’ve trained a model with access to all the sounds and let it decide what matters and what does not when it comes to conversational flow. Our new model continuously streams in audio and is able to understand semantics, prosody, timing, speaker identity, sighs, breaths, back-channels, interruptions, background speech, and unintelligible audio with the goal of understanding what the agent should do given the state of the audio. Sparrow-2 recently ranked #1 on Sesame’s new Turnbench, but that’s only part of the equation when it comes to good conversation flow.

Turn-taking is good for timing, but models should provide more information downstream especially in situations where noise impacts conversational quality. Sparrow-2 fits into our larger model family and is semi-duplex. For example if the user is in a room that’s too noisy, now the bot can ask the user to move to a quieter space. It also considers the timing of sound in relation to the AI speech as well as the user’s. This helps it to disentangle normal speech from interruptions and back-channels.

Another added benefit of our approach to Sparrow-2 is to finally crack the cocktail party problem: how to have human-like conversations 1:1 in noisy environments, without losing the signals we rely upon for conversational flow. By allowing all sound to be learned, the model naturally learns to focus on what matters and transcends the rest. Noise understanding lets voice AI filter out background speech and ambient chaos, whether it's a kiosk in a noisy lobby, a shop assistant on a busy floor, or an interviewee in a cafe. When noise overwhelms the audio, the AI behaves like a human: it simply asks you to speak up, move, or swap mics.

I’d love for you guys to give it a try and let me know what you think and feel. You can try it here: https://sparrow2.tavuslabs.org/

I also wrote up some technical details about the model architecture here: https://www.tavus.io/blog/sparrow-2

Comments URL: https://news.ycombinator.com/item?id=49612459

Points: 3

# Comments: 0

Feel free to use it.

Enjoy.

Comments URL: https://news.ycombinator.com/item?id=49612451

Points: 1

# Comments: 0

Article URL: https://link.springer.com/article/10.3758/s13423-015-0947-8

Comments URL: https://news.ycombinator.com/item?id=49612447

Points: 2

# Comments: 0

Article URL: https://gradientflow.substack.com/p/i-think-ai-teams-are-defending-the

Comments URL: https://news.ycombinator.com/item?id=49612433

Points: 2

# Comments: 0

Article URL: https://www.ft.com/content/2e97fb28-24cf-4ab0-89b1-454b4f97cdbc

Comments URL: https://news.ycombinator.com/item?id=49612430

Points: 4

# Comments: 0

Article URL: https://www.spawn.co

Comments URL: https://news.ycombinator.com/item?id=49612420

Points: 1

# Comments: 0

Article URL: https://medium.com/counterarts/museum-heists-like-cybersecurity-breaches-02fb77112688

Comments URL: https://news.ycombinator.com/item?id=49612391

Points: 2

# Comments: 0

Location data sold by the ad industry has reportedly helped adversaries target US troops. The Pentagon has responded by switching off ad tracking on its devices - and you can do the same on yours. Read more in my article on the Hot for Security blog.

Multiple vulnerabilities in the Secure/Multipurpose Internet Mail Extensions (S/MIME) decryption functionality of Cisco Secure Email could allow an unauthenticated, remote attacker to recover plain text from encrypted email messages.

These vulnerabilities are due to insufficient validation of message integrity. An attacker could exploit these vulnerabilities by using a machine-in-the-middle technique to intercept and modify traffic between email gateways. A successful exploit could allow the attacker to obtain plaintext content from the encrypted communication.

There are no workarounds that address these vulnerabilities.

This advisory is available at the following link:
https://sec.cloudapps.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-esa-smime-disc-dzw4rEdY

<br/>Security Impact Rating: Medium <br/>CVE: CVE-2026-20354,CVE-2026-20355

The startup founded by Palo Alto Networks’ Nir Zuk has raised $290 million to build an AI-native security platform for highly regulated organizations that cannot rely on the public cloud.

The post Cylake Raises $245 Million Ahead of Cybersecurity Platform Beta appeared first on SecurityWeek.

Affecting the SAP kernel code, the flaw allows unauthenticated, remote attackers to run arbitrary commands, recover secrets, and modify data.

The post SAP Patches Critical Extended Passport Processing Vulnerability appeared first on SecurityWeek.

Members of the troubled outsourced scheme are still waiting for pensions nine months after Capita took over its management

High energy costs and inability to manufacture hardware and frontier models limit the UK’s advanced tech defence and security capabilities

The scammers purchased fleets of sports cars, flew on private jets, hired security guards and rented mansions in Miami and the Hamptons.

The post Party’s Over for Crypto Scammers Who Went on a Spending Spree After a $240 Million Bitcoin Theft appeared first on SecurityWeek.