Tech Fun

life is crazy and not easy.

[Google @Google]

Introducing Gemini 3.8, our best reasoning & coding model yet.

By leveraging long-running agentic loops, we’re building on the momentum of 3.7 Flash from just three weeks ago to release two new 3.8 variants:

Meet Gemini 3.8 Flash and Gemini 3.8 Flash Cyber 🧵

[Tech Fun @hosting997]

@StockSavvyShay he looks old, what happend ?

[claire @claireyael]

I think about this video so so often

[Tech Fun @hosting997]

@osky_69 brawo za ojcowskiego liścia, popieram należał się młodemu obszczanemu szczylowi niech sie nauczy szacunku

[Duty @duty_1g]

🚀 x64dbg-MCP Server — fully automated, dynamic, agentic reverse engineering for x64dbg.

🧠 71 MCP tools
🤖 Fully automated & dynamic agentic RE
🔴 22 debugger event callbacks
⚡ Native Zig plugin — zero dependencies
🛠️ Breakpoints, memory, registers, tracing, xrefs, PE analysis & more
🌐 Streamable HTTP + SSE
📦 x32 + x64
Let your AI agent control, analyze, debug, and dynamically reverse engineer binaries directly through x64dbg.
🔗 https://t.co/5gmqJw6SVm
#x64dbg #MCP #AgenticAI #ReverseEngineering #CyberSecurity #RedTeam #MalwareAnalysis #Zig

[Tech Fun @hosting997]

@CaolanReports is it even real ? or AI ...

[Yuchen Jin @Yuchenj_UW]

UC Berkeley open-sourced FreeToken. Wild results:

A single RTX PRO 6000 runs the 753B GLM-5.2 at 14.9 tok/s!

An 8GB RTX 4060 laptop (~$1,000) runs Qwen3.6-35B at 39.3 tok/s!

FreeToken is 2–4x faster than Ollama across consumer GPUs. Local AI inference is getting very real. Great work by @Andy_ShuoYang and UC Berkeley Sky Lab!

[Victor Okafor @TheVictorOkafor]

If you’re a man, do everything possible in this life to avoid getting into a physical fight.

[Tech Fun @hosting997]

@sknerus_ https://t.co/9vE29VFZY3

[Tech Fun @hosting997]

@Shoty_u_bomboni fuj ale musi walić od niego w takie upały jak teraz mamy :(

[Tech Fun @hosting997]

@K_Stanowski ja mam z allegro za 1500 zł i daje rade xD

[Tech Fun @hosting997]

@kosa64 ja szukam zawsze na https://t.co/MmBPZHjnRv

[Pożar w Burdelu 🇵🇱 ♥️ @pozar_w]

Nie ma koksu w Białymstoku jak ktoś by pytał 👇😀

[Tibo @thsottiaux]

Unbelievable excited for what’s coming together. Tomorrow is feeling codexy

[Tech Fun @hosting997]

@DurovPD yes

[h100envy @h100envy]

Google engineer explained how to fine-tune a tiny LLM from 46% to 90% accuracy on your phone in 21 minutes - better than $1500 on-device AI bootcamps.

pick Gemma 270M -> generate synthetic task data -> fine-tune with LoRA -> quantize to int4 -> deploy to Pixel and hit 2000 tokens per second.

That loop is how a 270M model beats a 70B one on your task, running fully offline in your pocket.

Gemma 270M + synthetic data + LoRA + int4 quantization + on-device runtime - that's the stack.

Watch and save it, then fine-tune your own tiny agent tonight.

[Tech Fun @hosting997]

@thsottiaux remove all limits for Pro accounts xD

[el.cine @EHuanglu]

sam altman was caught copying apple in 4k

[Tech Fun @hosting997]

@EHuanglu lol ����😂

[Astro Greek @astro_greek]

Throwback: Barron Trump finally getting the legendary Elon Musk handshake