AI & TECHNOLOGY25 OCTOBER 2026

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8 stories · ~3 min read
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TODAY’S SELECTION

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01RESEARCH

An old CNN outperformed two LLMs in a small test

In the author’s comparison of 200 biopsy-confirmed skin lesions, a fine-tuned version of 2015’s Inception v3 correctly identified the diagnosis from six options in 62% of cases; two LLMs managed 42%. The sample was small, included 30 melanomas, and used a model that is not state of the art.

02CHIPS & INFRASTRUCTURE

Cerebras explains how it spread a 3-trillion-parameter model across 59 wafers

In an example using 4-bit weight quantization, an assumed 256,000-token request, and an 8-bit KV cache, Cerebras calculates that Kimi K3’s 69 linear-attention and 24 dense layers require 59 WSE-3T wafers. The post is an illustrative model-placement calculation, not a production-performance benchmark.

03INDUSTRY

Apollo economist: AI returns are not evident outside tech companies

Apollo Global Management chief economist Torsten Slok says profit margins and revenue per employee have remained flat at S&P 500 companies outside the technology sector, with no evidence that AI has boosted productivity. This is Slok’s assessment; the text gives neither a measurement period nor a detailed methodology.

04PRODUCTS

Google’s AI search is heightening publishers’ traffic concerns

Google’s AI Overviews and AI Mode put answers front and center in search results, raising publishers’ concerns about traffic losses. DCN says Google traffic to 19 of its members fell 1–25% in May–June 2025; Google, meanwhile, says click volume has remained relatively stable.

05RESEARCH

AI’s role in US creative-sector job losses remains unclear

The article says US creative industries lost more than 200,000 jobs over the past four years, with losses concentrated especially in film and sound recording. AI’s share cannot be measured; media consolidation, outsourcing, and social media may also have played a role.

06POLICY & LAW

Nikon withdrew contest winner’s award over AI use

Nikon revoked Ning Xu’s first-place award in its Small World in Motion contest after finding a rules violation. Xu said he used AI during image processing, not to create the video or cell movements. Scientists questioned image anomalies; Nikon said it would review future contest rules and judging.

07RESEARCH

Shared notes boosted coding performance

The study presents a training-free method that coordinates model instances using plans and notes in a shared file system. On LiveCodeBench’s 100 hardest problems, open-weight Qwen3.8-27B rose from 66.8% to 92.4% accuracy. However, the gains did not appear across all models.

08DEVELOPER TOOLS

Pruning and resets tackle long-context problems in agents

The speaker argues that context engineering is shifting from large context windows to code-based “harnesses” that manage agents’ tools and history. Long contexts can cause distraction and fixation on goals; pruning, summarizing, and resetting are used as remedies. The speaker also predicts that accumulated personal agent memories may conflict.

That’s it for today.The rest of your time is yours.

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Sources, in the open.

Stories are selected from Hacker News; accessible original articles are summarized and translated with AI. Summaries may contain errors; check the source beneath each story for details. Preparation starts daily at 06:55 Türkiye time (UTC+3), targeting publication before 07:00.

This edition covers articles shared on Hacker News on the date shown above.

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