召唤

关注人工智能、AI安全 、网络安全（Focusing on AI, AI Security, and Cybersecurity）| 仅代表个人观点

朱雀A.I.G｜朱雀AI检测助手

[召唤 @Siminsight]

@kimmonismus The world has long yearned for Gemini 4.

[召唤 @Siminsight]

@xiaohu 创新点很有启发（证明了碎片化 IoT 算力承载大模型的理论可行性），工程上目前极其鸡肋

[召唤 @Siminsight]

@op7418 看起来可以直接做b站科普视频了

[召唤 @Siminsight]

@kimmonismus @chetaslua Who would have thought Claude would be the one to replace Seedance?

[召唤 @Siminsight]

@morluto @mvanhorn @jihoonchoi @rahulbathijaa The primary benefit lies in executing Ghidra headless alongside Codemode, which shines when processing large binaries. However, REA’s major limitation is the inability to customize the selection of auto-analysis helpers.

[召唤 @Siminsight]

Turn Grok bot into the ultimate subscription assistant!
Prompt:"What dropped in frontier AI & AI security research in the last 24 hours? Only include new papers, critical updates from top labs, or real breakthroughs. 3 bullets max, plain English, no hype."
Run this once a morning with your coffee. Zero noise, 100% signal, stay ahead of 99% of people. #Grok #Grokbot

[召唤 @Siminsight]

@yiren_ai 亦仁做事总是用利他思维👍

[召唤 @Siminsight]

我们团队的最新披露：潜伏近十年的 Linux 内核漏洞VGhost，从本地提权到虚拟机逃逸风险（CVE-2026-74580）https://t.co/oOY596rXHl #writeup #linuxkernel #vhost

[召唤 @Siminsight]

@xiaoxiaodong 有试过Gemini么？

[召唤 @Siminsight]

@WinRAR_RARLAB If you were to open-source WinRAR today, don't sell client licenses—turn it into an Archive Streaming Cloud Drive.
The biggest pain point: Someone sends you a 20GB .zip, but you only need a 5MB PDF inside. You waste 30 mins downloading and unzipping it.

[召唤 @Siminsight]

@elonmusk @StockMKTNewz 除非你有无限子弹，或者你是Trump

[召唤 @Siminsight]

任何一个成功的工业级落地绝不是靠单点发力。底层硬件与引擎的极致性能优化做吞吐，小模型/专用算法做毫秒级过滤，再配合顶层大模型的选型、调度与 Harness/Context 优化来做决策与交互，护城河都在这些工程细节的缝隙里。

[J Keynes @JKeynesAlpha]

$CBRS $CRWD: Why Cerebras Is Essential Infrastructure for AI Cybersecurity

The $CRWD partnership and this video, which has only 367 views, were largely buried beneath the Iran headlines and broader macro bearishness. Yet this is another major reason I remain incredibly bullish on $CBRS: cybersecurity could become one of the largest and most natural markets for Cerebras.

The reason is simple. Cybersecurity is an enormous real-time inference problem. Modern security platforms ingest staggering volumes of endpoint, identity, cloud and network events. AI must correlate signals across multiple systems, determine whether activity is benign or malicious, select a response and act before an attacker can exfiltrate data, encrypt another machine or move laterally through the organization.

Cerebras CISO Naor Penso explains the requirement clearly:

“There is no viable way for AI to be adopted into that ecosystem if it’s not in real time.”

“Every minute counts.”

“Real time is critical for cybersecurity…and for AI it is really important to have fast inference in order to hit that real-time mark.”

This is exactly where Cerebras’s architecture becomes strategically valuable. Security investigations increasingly require multi-agent systems. One agent analyzes network activity. Another examines endpoint behavior. Others check identity, cloud logs, historical patterns and threat intelligence. Their conclusions then feed into a larger reasoning model that determines whether the event is benign, requires human review or demands immediate action.

Every sequential model call adds latency. Penso explains that with conventional inference, a complex chain of agents can turn a single investigation into “30 seconds, a minute, two minutes or three minutes” before reaching a resolution.

In cybersecurity, those minutes have consequences.

“Every minute is another few hundreds of megabytes of data that could have left the organization.”

“Every minute that is passing by with ransomware running in the environment is another minute, another computer getting infected.”

Fast inference therefore affects far more than chatbot responsiveness. It determines whether sophisticated AI reasoning can operate inside the window in which a cyberattack can still be stopped.

Cerebras can allow security platforms to deploy larger, more capable models and networks of specialized agents while preserving real-time performance. That creates the possibility of deeper investigation, higher-quality conclusions and faster automated response.

Penso describes the advantage:

“With fast inference, you’re getting hyper-fast speeds of responses across all your agents and still not caving in on the quality.”

That is the importance of the $CRWD partnership.

CrowdStrike is using Cerebras technology, while Cerebras has selected CrowdStrike as its cybersecurity platform. This is a reciprocal commercial and technical relationship between a leading AI inference company and one of the world’s leading cybersecurity platforms.

Penso says CrowdStrike recognizes the same architectural requirement:

“CrowdStrike sees exactly what we believe is true, which is fast inference is imperative for the success of cybersecurity.”

He summarizes the partnership this way:

“We’re providing the fastest inference on earth and the highest quality as well…and CrowdStrike delivers the best endpoint security in the world.”

CrowdStrike gives Cerebras a powerful real-world validation point. Falcon operates at immense scale, where latency, throughput and response quality directly affect the product. If Cerebras can help CrowdStrike reason across its security data faster, respond to threats sooner and make Charlotte AI more capable, this partnership could become a showcase for Cerebras across the entire cybersecurity industry.

Other vendors face the same problem. Palo Alto Networks, SentinelOne, Microsoft, Zscaler, Cloudflare and countless security startups all want increasingly autonomous AI agents. Those agents must investigate threats, query multiple tools and generate reliable answers almost instantly.

The competitive question may become: How intelligent can your security platform be while remaining genuinely real time?

That is a hardware and inference problem, and Cerebras was built specifically to solve it. The long-term opportunity extends beyond one CrowdStrike deployment. Cerebras could become an inference layer beneath AI-driven detection, investigation and response across the cybersecurity industry.

Penso’s conclusion captures the urgency:

“If we as security practitioners don’t adopt AI, we will be breached very fast.”

“AI is today, in my mind, the only viable way for us to scale.”

Attackers are using AI to increase their speed, sophistication and targeting. Defenders will need AI systems capable of reasoning and responding at machine speed. Cerebras offers the rare combination of model intelligence, massive throughput and extremely low latency that this transition requires.

Cybersecurity is becoming an AI inference race.

CrowdStrike choosing Cerebras suggests that Cerebras intends to be the engine helping the defenders win it.

Long $CBRS.

[召唤 @Siminsight]

@morluto 现代打印机固件实际上只有两个用处：一是推送隐蔽的 OTA 更新，让第三方墨盒变砖，二是囤积十年前未修复的漏洞，某种意义上来说就是后门。

[召唤 @Siminsight]

@DarkWebInformer First off, it has to know how to bypass CAPTCHAs and Cloudflare's WAF."

[召唤 @Siminsight]

@VaibhavLab kimi会很快，拭目以待

[召唤 @Siminsight]

@huangyun_122 @thebitcode token税

[召唤 @Siminsight]

@huangyun_122 说明这俩美工也不太行，这么容易就被同事炼化了