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What is a liquid neural network, really?

TechCrunch

The initial research papers date back to 2018, but for most, the notion of liquid networks (or liquid neural networks) is a new one. It was “Liquid Time-constant Networks,” published at the tail end of 2020, that put the work on other researchers’ radar. Everyone talks about scaling up their network,” Hasani notes. “We

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Code analysis tool AppMap wants to become Google Maps for developers

TechCrunch

The 10/10-rated Log4Shell flaw in Log4j, an open source logging software that’s found practically everywhere, from online games to enterprise software and cloud data centers, claimed numerous victims from Adobe and Cloudflare to Twitter and Minecraft due to its ubiquitous presence.

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This week in AI: Amazon ‘enhances’ reviews with AI while Snap’s goes rogue

TechCrunch

This week in AI, Amazon announced that it’ll begin tapping generative AI to “enhance” product reviews. Once it rolls out, the feature will provide a short paragraph of text on the product detail page that highlights the product capabilities and customer sentiment mentioned across the reviews. Could AI summarize those?

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What you need to know about Okta’s security breach

CIO

On October 20, 2023, Okta Security identified adversarial activity that used a stolen credential to gain access to the company’s support case management system. Once inside the system, the hacker gained access to files uploaded by Okta customers using valid session tokens from recent support cases.

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Guarding the gates: a look at critical infrastructure security in 2023

CIO

This underscores the pressing importance for security researchers and cybersecurity professionals to work together to evaluate risks, devise defenses and team up with governments and corporations to safeguard our resources. As technology advances, so too does the sophistication of threats to these essential systems.

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Draft.dev CEO Karl Hughes on the importance of using experts in developer marketing

TechCrunch

Developers can be a tough crowd. Coming up with relevant content that developers find interesting takes specific know-how, and this is where Draft.dev comes in. One of the survey respondents noted that developers are underrated as a target audience: It may be niche, but it is a large one. What inspired you to create Draft.dev?

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Using Honeycomb for LLM Application Development

Honeycomb

LLMs are nondeterministic black boxes that people use in ways you can’t possibly predict while still in development. Developing apps around LLMs creates an entire host of challenges that can’t be debugged in local development. These systems are powerful and they play a role similar to unit testing.