Mozilla says 271 vulnerabilities found by Mythos have "almost no false positives"

Mozilla says 271 vulnerabilities found by Mythos have "almost no false positives"

fivenewscrypto    mai 08, 2026   

The disbelief was palpable when Mozilla’s CTO last month declared that AI-assisted vulnerability detection meant “zero-days are numbered” and “defenders finally have a chance to win, decisively.” After all, it looked like part of an all-too-familiar pattern: Cherry-pick a handful of impressive AI-achieved results, leave out any of the fine print that might paint a more nuanced picture, and let the hype train roll on.

Mindful of the skepticism, Mozilla on Thursday provided a behind-the-scenes look into its use of Anthropic Mythos—an AI model for identifying software vulnerabilities—to ferret out 271 Firefox security flaws over two months. In a post, Mozilla engineers said the finally ready-for-prime-time breakthrough they achieved was primarily the result of two things: (1) improvement in the models themselves and (2) Mozilla’s development of a custom “harness” that supported Mythos as it analyzed Firefox source code.

"Almost no false positives"

The engineers said their earlier brushes with AI-assisted vulnerability detection were fraught with “unwanted slop.” Typically, someone would prompt a model to analyze a block of code. The model would then produce plausible-reading bug reports, and often at unprecedented scales. Invariably, however, when human developers further investigated, they’d find a large percentage of the details had been hallucinated. The humans would then need to invest significant work handling the vulnerability reports the old-fashioned way.

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RIP social media. What comes next is messy.

RIP social media. What comes next is messy.

fivenewscrypto    mai 08, 2026   

Last fall, we featured an extensive interview with Petter Törnberg of the University of Amsterdam, who studies the underlying mechanisms of social media that give rise to its worst aspects: the partisan echo chambers, the concentration of influence among a small group of elite users (attention inequality), and the amplification of the most extreme divisive voices. He wasn't optimistic about social media's future.

Törnberg's research showed that, while numerous platform-level intervention strategies have been proposed to combat these issues, none are likely to be effective. And it’s not the fault of much-hated algorithms, non-chronological feeds, or our human proclivity for seeking out negativity. Rather, the dynamics that give rise to all those negative outcomes are structurally embedded in the very architecture of social media. So we’re probably doomed to endless toxic feedback loops unless someone hits upon a brilliant fundamental redesign that manages to change those dynamics.

Törnberg has been very busy since then, producing two new papers and one new preprint building on this realization that social media is structured quite differently than the physical world, with unexpected downstream consequences. The first new paper, published in PLoS ONE, specifically focused on the echo chamber effect, using the same combined standard agent-based modeling with large language models (LLMs)—essentially creating little AI personas to simulate online social media behavior.

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Anthropic raises Claude Code usage limits, credits new deal with SpaceX

Anthropic raises Claude Code usage limits, credits new deal with SpaceX

fivenewscrypto    mai 08, 2026   

SAN FRANCISCO—At its Code with Claude developer conference on Wednesday, Anthropic announced a deal with SpaceX to utilize the entire compute capacity of the latter's data center in Memphis, Tennessee.

On stage at the conference, CEO Dario Amodei said the deal was intended to increase usage limits for Anthropic's Pro and Max plan subscribers.

The announcement was accompanied by an increase in those usage limits; Anthropic doubled Claude Code's five-hour window limits for Pro and Max subscribers, removed the peak-hours limit reduction on Claude Code for those same accounts, and raised API limits for its Opus model. The table below outlining the Opus changes was shared in the company's blog post on the topic.

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The animated version of the iconic "Hello, world" image reveals striking new details

The animated version of the iconic "Hello, world" image reveals striking new details

fivenewscrypto    mai 08, 2026   

The astronauts flying aboard the Artemis II mission to the Moon last month took a lot of pictures, and a few dozen of the best ones were released during and shortly afterward the flight.

But it wasn't until last weekend that NASA released the whole trove of more than 12,000 images, dumping them onto the Gateway to Astronaut Photography. The astronauts used three different cameras on the mission: a Nikon D5, a Nikon Z9, and an iPhone 17s. There are some hits and misses in the archive, plus some new gems.

One of the early highlights during the mission was the "Hello, world" image captured by Artemis II Commander Reid Wiseman as the Orion spacecraft left Earth on its outbound journey toward the Moon.

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FDA vaccine studies censored by Trump admin after finding benefits of shots

FDA vaccine studies censored by Trump admin after finding benefits of shots

fivenewscrypto    mai 08, 2026   

Despite Health Secretary Robert F. Kennedy's pledge to provide "radical transparency," the agencies under his control continue to suppress scientific research that conflicts with his anti-vaccine agenda.

On Tuesday, The New York Times reported confirmation from the Department of Health and Human Services that the Food and Drug Administration had blocked the publication of studies showing the safety and efficacy of vaccines against COVID-19 and shingles. The revelation follows a report from The Washington Post last month that the Centers for Disease Control and Prevention scrapped a scientifically vetted study previously scheduled for publication that found COVID-19 vaccines sharply cut the risk of emergency care and hospitalization among healthy adults. The study was ultimately rejected by Kennedy's acting CDC director, who claimed to have concerns about the study's methodology.

Similarly at the FDA, two studies on COVID-19 vaccines by agency scientists were accepted for publication at medical journals, according to the Times. But unnamed FDA officials directed the agency scientists to withdraw the studies. While a preliminary abstract of one of the studies presented at a conference last fall remains online, the Times obtained a copy of the full manuscript, the conclusion of which reads, "Given the available evidence, FDA continues to conclude the benefits of vaccination outweigh the risks."

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Anthropic's Claude Managed Agents can now "dream," sort of

Anthropic's Claude Managed Agents can now "dream," sort of

fivenewscrypto    mai 08, 2026   

SAN FRANCISCO—At its Code with Claude developers' conference, Anthropic has introduced what it calls "dreaming" to Claude Managed Agents. Dreaming, in this case, is a process of going over recent events and identifying specific things that are worth storing in "memory" to inform future tasks and interactions.

Dreaming is a feature that is currently in research preview and limited to Managed Agents on the Claude Platform. Managed Agents are a higher-level alternative to building directly on the Messages API that Anthropic describes as a "pre-built, configurable agent harness that runs in managed infrastructure." It's intended for situations where you want multiple agents working on a task or project to some end point over several minutes or hours.

Anthropic describes dreaming as a scheduled process, in which sessions and memory stores are reviewed, and specific memories are curated. This is important because context windows are limited for LLMs, and important information can be lost over lengthy projects. On the chat side of things, many models use a process called compaction, whereby lengthy conversations are periodically analyzed, and the models attempt to remove irrelevant information from the context window while keeping what's actually important for the ongoing conversation, project, or task.

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Google's Gemma 4 AI models get 3x speed boost by predicting future tokens

Google's Gemma 4 AI models get 3x speed boost by predicting future tokens

fivenewscrypto    mai 07, 2026   

Google launched its Gemma 4 open models this spring, promising a new level of power and performance for local AI. Google's take on edge AI could be getting even faster already with the release of Multi-Token Prediction (MTP) drafters for Gemma. Google says these experimental models leverage a form of speculative decoding to take a guess at future tokens, which can speed up generation compared to the way models generate tokens on their own.

The latest Gemma models are built on the same underlying technology that powers Google's frontier Gemini AI, but they're tuned to run locally. Gemini is optimized to run on Google's custom TPU chips, which operate in enormous clusters with super-fast interconnects and memory. A single high-power AI accelerator can run the largest Gemma 4 model at full precision, and quantizing will let it run on a consumer GPU.

Gemma allows users to tinker with AI on their hardware rather than sharing all their data with a cloud AI system from Google or someone else. Google also changed the license for Gemma 4 to Apache 2.0, which is much more permissive than the custom Gemma license Google employed for previous releases. However, there are inherent limitations in the hardware most people have to run local AI models. That's where MTP comes in.

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