Techyon

Mac vs CUDA for local LLMs: where would you spend €5–8k?

The user is evaluating a €5–8k workstation primarily for running local LLMs, experimenting with coding agents like Copilot or Claude Code, and processing sensitive data on‑premise. They value flexibility for Linux‑based …

→ View original source

Trump admin using AI to deny medical care for seniors in disastrous experiment

The Trump administration launched WISeR (Wasteful and Inappropriate Service Reduction) in January 2026, an AI‑driven prior‑authorization pilot for Medicare services in six states (New Jersey, Ohio, Oklahoma, Texas, Arizo…

→ View original source

Professional skepticism is a dev’s best skill

Professional skepticism is highlighted as a vital skill for developers navigating an AI‑driven landscape. In a conversation with David Burns, Head of Developer Advocacy and Open Source at BrowserStack, the discussion cov…

→ View original source

I added OpenVINO support to Laya: 40 ms per question on CPU, 3.4x faster than PyTorch

The developer added OpenVINO support to the Laya framework, enabling CPU‑based inference. This achieves an average latency of 40 ms per question, which is 3.4× faster than the PyTorch implementation. The code is availabl…

→ View original source

The Algorithm of Anxiety: Decoding the High-Stakes Realities of the AI Era We like to talk about…

The article examines how AI advancements generate anxiety by amplifying uncertainties around job displacement, ethical decision‑making, and societal control. It argues that understanding the algorithmic underpinnings of …

→ View original source

Qwen 3.8 27b be like...

The author of the Reddit post complains that they have over‑analyzed and failed to act, urging a shift to a straightforward test‑suite run with a single command. They want to stop forensic investigation, execute the test…

→ View original source

Is Qwen Flash Next at like Q2 better than 27B at Q4?

A Reddit user asks whether Qwen Flash Next at Q2 quantization outperforms the 27B model at Q4 quantization. The thread invites comparison between these specific model sizes and quantization levels.

→ View original source

Tutoring company tells parents to save their money and 'use AI instead'

A tutoring company has advised parents to cut tutoring costs and instead use AI tools for their children's education. The recommendation signals a growing shift toward AI-powered learning solutions as alternatives to tra…

→ View original source

Qwen3.8-Flash-Next on 12GB VRAM - 65 tokens per second

The Qwen3.8‑Flash‑Next model, running on a 12 GB RTX 5070 with 64 GB DDR5 and a Ryzen 5 7600, now achieves ~65 tokens/s output and ~430 tokens/s prompt processing using IQ3_XXS quantization in a custom inference engine. …

→ View original source

Benchmarking DeepSeek V4 Flash on 4× CMP 170HX 64GB: 256GB HBM, PP4, 262K context, up to ~95 tok/s

The author deployed DeepSeek V4 Flash Vision across four unlocked NVIDIA CMP 170HX 64GB GPUs, providing 256 GB of aggregate HBM2e memory. Using vLLM with pipeline parallelism = 4, a 262 K token context, FP8 KV cache and …

→ View original source

'That's so AI ' What gen Alpha's biggest insult tells us

The article reports on a new piece of slang emerging among Generation Alpha, primarily heard in primary schools, where children use the phrase “That’s so AI!” or simply “That’s AI!” as an all‑purpose insult. Rather than …

→ View original source

Using LLMs to trace alchemical knowledge and decode 17th century letters

The article explores how large language models are being applied to trace alchemical knowledge and decode 17th‑century letters. It highlights the potential of AI to uncover historical insights from obscure texts.

→ View original source