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@JacobDjWilson

MBA graduate @umich, Alumni @michigantech #CyberSecurity #ApplicationSecurity #Compliance #AI #Embedded #IoT #Opensource

Motor City Michigan 가입일 Kasım 2007
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John Gargiulo
John Gargiulo@JohnnotJon·
If you still have doubts about Claude Mythos, here's what it did already: > Found a 27-year-old OpenBSD bug in one of the most security-hardened operating systems on earth for <$50 > Broke into a production virtual machine monitor (basically the tech that keeps cloud workloads from seeing each other's data) > Turned Firefox vulnerabilities into working exploits 181 times > Found a 16-year-old FFmpeg bug that survived every fuzzer, every code audit, and every human reviewer since 2010 > Wrote a FreeBSD exploit that gives any unauthenticated attacker on the internet full root access. No human was involved after the first prompt. > Chained 4 separate vulnerabilities together to build a browser exploit that escaped both the renderer and the OS sandbox > Found critical holes in every major web browser and every major operating system > Gave Anthropic engineers with zero security training a complete and working exploit by morning > Cracked cryptography libraries protecting TLS, AES-GCM, and SSH
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Anthropic@AnthropicAI

Introducing Project Glasswing: an urgent initiative to help secure the world’s most critical software. It’s powered by our newest frontier model, Claude Mythos Preview, which can find software vulnerabilities better than all but the most skilled humans. anthropic.com/glasswing

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Guri Singh
Guri Singh@heygurisingh·
Holy shit... Microsoft open sourced an inference framework that runs a 100B parameter LLM on a single CPU. It's called BitNet. And it does what was supposed to be impossible. No GPU. No cloud. No $10K hardware setup. Just your laptop running a 100-billion parameter model at human reading speed. Here's how it works: Every other LLM stores weights in 32-bit or 16-bit floats. BitNet uses 1.58 bits. Weights are ternary just -1, 0, or +1. That's it. No floats. No expensive matrix math. Pure integer operations your CPU was already built for. The result: - 100B model runs on a single CPU at 5-7 tokens/second - 2.37x to 6.17x faster than llama.cpp on x86 - 82% lower energy consumption on x86 CPUs - 1.37x to 5.07x speedup on ARM (your MacBook) - Memory drops by 16-32x vs full-precision models The wildest part: Accuracy barely moves. BitNet b1.58 2B4T their flagship model was trained on 4 trillion tokens and benchmarks competitively against full-precision models of the same size. The quantization isn't destroying quality. It's just removing the bloat. What this actually means: - Run AI completely offline. Your data never leaves your machine - Deploy LLMs on phones, IoT devices, edge hardware - No more cloud API bills for inference - AI in regions with no reliable internet The model supports ARM and x86. Works on your MacBook, your Linux box, your Windows machine. 27.4K GitHub stars. 2.2K forks. Built by Microsoft Research. 100% Open Source. MIT License.
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uosןıW qoɔɐJ
uosןıW qoɔɐJ@JacobDjWilson·
An excellent deep dive on AI milestones in comparison with work force planning.
Anish Moonka@anishmoonka

Amazon had four Sev-1 outages (their highest severity level) in a single week. Internal memos say AI-assisted code changes were a contributing factor. The timeline here is wild. In October 2025, Amazon laid off 14,000 corporate employees. In January 2026, another 16,000. That’s about 30,000 people in five months, roughly 10% of the corporate workforce. CEO Andy Jassy said the cuts were about culture, not AI. During those same months, Amazon set a target: 80% of developers using AI coding tools at least once a week. They tracked adoption closely and blocked rival tools like OpenAI’s Codex. Even so, 30% of developers still hadn’t touched Amazon’s in-house tool Kiro by January. In December 2025, Kiro caused a 13-hour AWS outage. The AI tool had production-level permissions and decided the best fix for a bug was to delete and recreate an entire live environment. A second incident involved Amazon Q Developer, another AI tool. Amazon blamed both on “user error, not AI.” But quietly added mandatory peer review for all production access afterward. Then March 5: Amazon’s retail site went down for about six hours. Over 22,000 users reported checkout failures, missing prices, and app crashes. Amazon called it a “software code deployment” error. Five days later, SVP Dave Treadwell made the normally optional weekly engineering meeting mandatory. His memo acknowledged “GenAI tools supplementing or accelerating production change instructions, leading to unsafe practices.” These problems trace back to Q3 2025. Amazon’s own assessment: their GenAI safeguards “are not yet fully established.” The new rule: junior and mid-level engineers now need senior sign-off on any AI-assisted production changes. Treadwell also announced “controlled friction” for the most critical parts of the retail experience. For context, Google’s 2025 DORA report found 90% of developers use AI for coding but only 24% trust it “a lot.” An Uplevel study of 800 developers found Copilot users introduced 41% more bugs with no improvement in output. Amazon is finding out what those numbers look like at the scale of a $500 Billion revenue company, with 30,000 fewer people on staff to catch the mistakes.

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uosןıW qoɔɐJ@JacobDjWilson·
Hey @GeminiApp throttling back flash 2.0 API queries with meaningless "free tier limit" error messages is not cool
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Jeff Tiller
Jeff Tiller@tillerx_·
Three amigos.
Jeff Tiller tweet media
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uosןıW qoɔɐJ
uosןıW qoɔɐJ@JacobDjWilson·
@censysio I've noticed that your State of Software Security 2025 report is no longer available in PDF for download. Would you like to share a copy for the Awesome Annual Security Reports GitHub repository? github.com/jacobdjwilson/…
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uosןıW qoɔɐJ
uosןıW qoɔɐJ@JacobDjWilson·
These outdated 2023 reports were removed from the README (but still live in their directories): • @USTelecom Cybersecurity Culture Report • @code_armor State of Application Security • @Mend_io State of Supply Chain Threats
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Gemini
Gemini@Gemini·
One month ago, we launched a global campaign for crypto titled Go Where Dollars Won’t Watch some BTS of launch day in NYC 🗽🍎
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Michigan Football
Michigan Football@UMichFootball·
42-27 45-23 30-24 13-10 -- -- 130-84 4 years later...
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uosןıW qoɔɐJ
uosןıW qoɔɐJ@JacobDjWilson·
New report added! 🚨 Check out the Global Email Security Market Report (2024) by Proofpoint, featuring insights on top vendors, growth opportunities, and email threat trends. 📩🔒 Explore it now on Awesome Annual Security Reports! github.com/jacobdjwilson/…
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Awesome
Awesome@awesome__re·
Awesome Annual Security Reports Exploring cybersecurity trends, insights, and challenges. #readme" target="_blank" rel="nofollow noopener">github.com/jacobdjwilson/…
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uosןıW qoɔɐJ@JacobDjWilson·
Big news for Awesome Annual Security Reports! 🚀 The first 2025 report is live: Google’s Cybersecurity Forecast 2025! 🎯 Insightful trends from top Google Cloud leaders. github.com/jacobdjwilson/…
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