Gioele SL Fierro (@gslf_dev) header
Gioele SL Fierro (@gslf_dev) profile picture

Thinker, Software engineer, UITS Shooter.

Catania
Joined June 2007
Photo by Gioele SL Fierro (@gslf_dev)Photo by Gioele SL Fierro (@gslf_dev)Photo by Gioele SL Fierro (@gslf_dev)Photo by Gioele SL Fierro (@gslf_dev)Photo by Gioele SL Fierro (@gslf_dev)Photo by Gioele SL Fierro (@gslf_dev)Photo by Gioele SL Fierro (@gslf_dev)Photo by Gioele SL Fierro (@gslf_dev)Photo by Gioele SL Fierro (@gslf_dev)Photo by Gioele SL Fierro (@gslf_dev)
Gioele SL Fierro retweeted
Hyprland 0.57.0 is finally here, with tons of new stuff you don't wanna miss! hypr.land/news/update57/
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My @X feed is full of useless shit right now. Why?
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Gioele SL Fierro retweeted
Today we’re introducing Gemini 4 Carbon — our newest frontier model from @GoogleDeepMind. Carbon is our strongest model with state-of-the-art cybersecurity and long horizon capabilities. Built for sustained agentic workflows, it delivers improved performance across domains — with greater alignment, transparency, and follow-through to respond to high-pressure tasks. We’re rolling it out starting this week to cyber defenders through our Fairwind Program, with expanded access as soon as possible.
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Gioele SL Fierro retweeted
Credits where credits is due: kudos to @OpenAI in the context of the new scientific releases, for putting the scientists that worked in a given field for a long time at the center of the process of understanding and announcing the new discoveries.
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Gioele SL Fierro retweeted
We believe voice is the most natural way to interact with intelligence, so we created Dessa, the most authentic full-duplex speech model ever built. Talking with it feels like talking with a person…full of emotion, nuance, pauses, and a natural cadence. block.xyz/dessa
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Gioele SL Fierro retweeted
Turn of your Tailscale SSH, people 🫠 tailworm.com
‼️ Researcher Erica Windisch skipped coordinated vulnerability disclosure and published 11 unpatched Tailscale flaws. In her lab, Tailscale SSH race conditions let one hacked device get root on other servers and add a rogue node.
Readers added context they thought people might want to know
The Tailscale SSH flaws detailed require a compromised but approved device on the tailnet that has been granted SSH access by policy. Tailscale has reviewed the report and stated they do not recommend disabling Tailscale SSH for everyone while they prepare patches. tailworm.com reddit.com/r/Tailscale/co…
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An @nvidia RTX Spark N1X laptop without @omarchy support is a shitbox. Change my mind.
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AI benchmarking but with another approach. We don't even have a definition for intelligence, so why oversimplify everithing when AI is involved? youtube.com/watch?v=Wca9ZPYo…
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And finally the leaderboard for the HELL v1 benchmark is out. Got any other models you want to test? Just keep in mind our resources are damn limited . . .
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The relationship between Wikipedia and LLMs is philosophically fascinating. Dwarfs and giants, trading places.
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In Sweden, public employees can only use Copilot, or cloud AI services through an in-house condom. Bullshits. If security is a real problem, you run local models. Otherwise, whatever. And what the hell is this magic contract with Microsoft that fixes every security issue?
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Gioele SL Fierro retweeted
php2shell Tomorrow is a helluva day.
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Gioele SL Fierro retweeted
How on earth did this happen: The Indian certificate authority (CA) eMudhra had one job (well, two): 1. Create secure, 384-bit private keys 2. Store these securely and do not leak them Well, eMudhra chose private keys between 1 and 256 (the numbers!!) and called it a day. WTF
I don't really understand why this would happen. It seems higher-effort than standard key generation.
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Gioele SL Fierro retweeted
DeepSeek infer is the cloud version of DwarfStar, conceptually. Vertical inference engine for one model and specific hardware. Good move. And well, a lesson to the ones that criticized this approach as well.
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Benchmarking AI models from a new perspective with UNIMATRIx. Each run comes with an in-depth analysis of every action the model chose to take. This means that when we want to understand what we sacrifice by quantizing a model, we can pinpoint which domains loss capabilities.
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UNIMATRIx is here. This is the way to benchmarking AI models.
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This is a practical guide to building the the harness that turns raw LLMs into functional agents. Written for developers and AI engineers who want full control over their code. It covers the essential mechanics of agentic systems. github.com/IsuruMaduranga/ha…
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