Glitch 81 ᯅ

Sysadmin | Cloud Computing | Agentic Engineer | Programming for fun | Coffee Lover

[Glitch 81 ᯅ @deivid_tech]

“Remember: Everything fails, all the time, so plan for failure and nothing fails.”

- @Werner

[Carsen Klock @carsenklock]

mactop v2.1.5 is now available

- ANE usage support on macOS 27 Beta+ @anemll
- New layouts @anemll
- Bug fixes

brew upgrade mactop

https://t.co/IsoMYMHOVv

[Pavel Durov @durov]

We now support rich formatting for all chatbots.

Tables, nested lists, inline media, formulas, headers and more — right in Telegram messages.

🔨 Start building! Docs: https://t.co/zgzPOOUJF5

[Glitch 81 ᯅ @deivid_tech]

@ku__ro___01

[Glitch 81 ᯅ @deivid_tech]

Pinche temblor mamalon en la del valle @BJAlcaldia

[Glitch 81 ᯅ @deivid_tech]

Most of the internet pages support apple pay, but when you need to pay something in the Developer portal from @Apple You need to fcking fill in ALL your contact information, credit card, and all shit that APple Pay abstracts. But hey, we have nice Emojis

[AI 有两下子 @iswangwenbin]

M 系列芯片的同学看过来：

Apple Container 1.0 发布了！

Mac 上跑容器，终于有了一个更“苹果原生”的选择，

Docker 不一定立刻下岗，但确实可以开始试试它了

https://t.co/IVshhHli9C

[Md Ismail Šojal 🕷️ @0x0SojalSec]

You can now fine-tune free Qwen3.5 on Colab,

Need 5GB VRAM to train Qwen3.5-2B LoRA locally,
1.5x faster with 50% less VRAM.

Qwen3.5-4B Colab: -/colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_5_(4B)_Vision.ipynb

[Unsloth AI @UnslothAI]

Gemma 4 now runs 2x faster with MTP GGUFs! Run locally on just 6GB RAM. ⚡️

MTP enables Google Gemma 4 run ~1.4–2.2× faster with no accuracy loss.

Gemma 4 12B MTP can run at 162 t/s vs. 52 t/s without MTP. 31B reaches 101 t/s.

GGUFs + Guide: https://t.co/c4gAUlb6YE

[SemiAnalysis @SemiAnalysis_]

Recently, we purchased one of each Anthropic/OpenAI subscription plan and randomly ran long horizon coding tasks until we exhausted the weekly limit. It's widely believed that a $200/month plan maxes out at ~$2000/month worth of tokens (assuming API pricing). However, we found that the subscriptions are actually far more generous. (2/4)

[alphaXiv @askalphaxiv]

"Trajectory-Refined Distillation"

This paper shows a core failure in on-policy distillation.

When a student takes a wrong reasoning path, the teacher is forced to supervise from that broken prefix, so token-level KL becomes noisy.

So they introduced TRD that fixes this by refining the whole rollout first.

What it does is the teacher rewrites the student trajectory into a better reasoning path, then the student distills from that corrected trajectory.

While this is a small change, it still moves distillation from token fixes to trajectory fixes, giving cleaner supervision and stronger reasoning gains.

[NVIDIA AI Infrastructure @NVIDIAAIInfra]

📣 NVIDIA CUDA 13.3 is here!

CUDA 13.3 brings new capabilities and performance optimizations to developers across the CUDA ecosystem.

Includes enterprise-grade feature parity across CUDA Python and C++ with CUDA Python 1.0, CUDA Tile for C++, and CUDA Tile coverage.

🔗 Read the tech blog: https://t.co/PpsjrDnoSA

[Glitch 81 ᯅ @deivid_tech]

😂😂🤣

Turns out Microslop is the weakest link in today’s companies/workloads… it does not matter what layer or service.

[Tech News Tube @TechNewsTube]

Microsoft Hacked To Deliver Malware To Claude and Gemini Users https://t.co/LT4m8WwrPT

[Akshay 🚀 @akshay_pachaar]

Apple finally did it.

Its new framework, Core AI, runs models entirely on Apple silicon, so inference happens on the user's device with zero server calls and zero token bills.

That means Qwen, Mistral, and SAM3 running natively across iPhone, iPad, Mac, and Vision Pro.

It's a memory-safe Swift API that compiles models ahead of time for near-instant load. Pulling one in takes a few lines:

let segmenter = try await ImageSegmenter(resourcesAt: sam3ModelURL)
let response = try await segmenter.segment(image: inputImage, prompt: "flower")

The launch goes beyond the runtime, though.

It ships curated open models packaged for Swift, PyTorch extensions to convert your own, and an optimizer that shrinks models layer by layer with minimal accuracy loss.

There's also a macOS debugger that profiles performance and traces behavior back to your original Python, plus Xcode tools to validate models before they ship.

For any team that wanted real on-device AI without a cloud bill attached to every user, this is the answer.

Models repo: https://t.co/yZCIhrM6YQ

[ClaudeDevs @ClaudeDevs]

Claude Fable 5 is our first generally available Mythos-class model.

It ships with new safety classifiers that may flag certain prompts in dual-use domains like cyber and bio.

We've added fallbacks: a refused request retries on Claude Opus 4.8 instead of dead-ending.

[Claude @claudeai]

Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use.

Its capabilities exceed those of any model we’ve ever made generally available.

[Glitch 81 ᯅ @deivid_tech]

Fucking companies like Service Now posing as Enterprise level providers but they are a rinky-dink operation.

They do not GAF about operations

[International Cyber Digest @IntCyberDigest]

‼️🚨 BREAKING: ServiceNow has been breached. Customers are reporting unauthorised access to their instances.

One customer states their security team reported this vulnerability to them, and they closed the case twice, saying they had already known since the 7th of April.

[JORGE BECERRIL JB/8 @MrElDiablo8]

Llueve fuerte en gran parte de la CdMx y EdoMex.
Captan #rayo en la Del Valle.

#Precauciones

#Video 🎥👇🏽

[Glitch 81 ᯅ @deivid_tech]

@kaykool0n @zackdfilms1 The same one they ate every night, anyway

[Dr. Clown, PhD @DrClownPhD]

🚨BREAKING: Woke Simulator has officially been revealed.

The game nobody asked for.