Reddit says search referral traffic from Google went "down meaningfully in this quarter", blaming AI Mode and AI Overviews taking search "from being a traffic driver to whatever’s going on now". Reddit will soon allow access to logged-in users only www.cnbc.com/2026/10/29/r...
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**Another Y2K moment???** For those who say AI will kill tech jobs, it feels like we're at the beginning of another Y2K-like boom, where companies will use AI to scan their codebases, identify issues, and remediate them. Let the tech jobs bloom...
I had Opus build a game that takes JIRA tickets from any of your real projects & converts them into dramatic audiologs that are the plot of a 2000s-era horror game set on a mysteriously abandoned space station. Play a demo: wontfix-game.netlify.app Github: github.com/emollick/aud...
The computing power of AI chips sold each quarter has grown 2.5× per year since the start of 2024. That’s down from roughly 6× in 2023, led by Nvidia’s then-new H100 GPU.
Yesterday, New York showed that we can lead the country in passing common-sense AI safety regulation.
This is good advice from the Claude Code team (posted on X) for how to think about working with models like Opus 5.5. I would add: build checkpoints where the model reports back to you with interim ideas or prototypes so you can guide & give feedback, rather than one-shotting on your goal.
What’s new for submissions and authors at #CVPR2027? Source: cvpr.thecvf.com/Conferences/...
If you're a Korean, decision... decision... Mac Studio for 50.8M KRW or Model Y for 49.99M KRW.
Qwenputer: Qwen3.5-4B with a full RISC-V CPU inside its weights, using the model's own Gated DeltaNet layers as RAM. It runs C and MicroPython in its forward passes, no external runtime. Live demo: modelscope.ai/studios/Spar... HF: huggingface.co/divagr1925/Q... Write-up: divagr.com/blog/qwenputer
Language modeling on raw bytes by Albert Gu A new version of hierarchical networks (H-Nets) where it finds 3-5x efficiency gains in controlled scaling law experiments, and at larger scale matches an open-source model trained on 11T tokens with ~10x less data and compute.
Interesting observation by Thariq (former Claude Code engineer): - Technical people are sad because their skills are being superseded by AI agents. - Non-technical people are eager to become more technical so they can use AI agents more effectively.
Google: “AI is impacting our search business.” I mean, when you do a Google search, you often get an AI-generated summary without needing to click on anything. Google is showing AI responses that generate less advertising revenue. So, wasn’t this expected?
For everyone wondering whether the public can have any say in determining how AI impacts us, New York again has an answer: Absolutely.
The models are so, so good these days. You can just ask them to fix a huge performance edge case that you never encounter but hear about in bug reports. They spend 90 minutes profiling, sampling, and making a demo app to validate the issue — ultimately fixing it in your app when they're certain.
Oh no. I regret to inform you that the AIs are now dropping bops and sick beats.
I think October represents another inflection point in capabilities for coding agents and the models that drive them: Claude Opus 5.5 can now build video games that are actually fun simonwillison.net/2026/Oct/28/...
Me at 1am firing off 16 agents to fix all of Plinky's scrolling stutter, finding database optimizations, and patching a couple of longstanding bugs: I've never been more exhilarated in my life. (Yes, I'm a fucking nerd.) Me in the morning: Oh, right, I'm too old to stay up this late working.
Artificial Analysis finally moves to closed benchmarks (goodbye & good riddance, GDPval-AA), and finds that open weights models are falling further behind than they had previously measured. Take with a grain of salt, but matches the general vibes that we haven't seen a Fable-class open model.
Lean Verified Tokenizers You build a formally verified tokenization pipeline with the goal of mitigating harness bugs. srush.github.io/verified-tok...
DiffuSpace's Clover-35B-A3B-Preview (open-weight) An open-weight production diffusion language model (dLLM) with 35B total parameters capable of 680 tps on a single card at BF16. Blog: diffuspace.ai/blog/clover-... Repo: github.com/DiffuSpace/C... Model: huggingface.co/Diffuspace/C...
From Amazon to all software development engineers (SDEs): Become more like product managers. www.aboutamazon.com/news/company...
Google's Genie 4 world model: "Scene: A Victorian high tea. Character: A mouse in appropriate garb." "A porcupine walks by" "The mouse grows wings" "It flies" This is realtime & I can walk around freely. It is glitchy, but also impossibly advanced compared to where we were a couple years ago.
SparkLLM's Spark-X2.6-1.7B (open-weight) - Post-trained, Base, GGUF, INT8, INT4 & FP8 on HF. Model: huggingface.co/XHToken/Spar...
Shanghai AI Lab's Sage-A1.5 (open-weight) 🤖 35B MoE (3B active) 🧩 Agentic Orchestration & Verification — spawns parallel subagents & self-corrects on the fly 🔄 RSI Data Flywheel — evolved via real scientific discovery workflows & tens of thousands of synthesized environments
SparkLLM's Spark-X2.6-4B (open-weight) - 4B + Apache 2.0 - Up to 1M context - 3 thinking modes - Local deployment via GGUF Model: huggingface.co/collections/...
Nanbeige4.3-33B (open-weight) * Strong results on agentic coding and cowork benchmarks. * When integrated into mainstream agent harnesses, it tackles real-world tasks with cost-efficient inference. * It will serve as a teacher for upcoming smaller Nanbeige models, starting with Nanbeige4.3-3B.
Just a FYI: A decision model like Jev are not better rerankers System One models Are Not Better Rerankers Paper: arxiv.org/abs/2610.32318 Repo: github.com/KanishkaGD/d...
Baidu's Unlimited OCR 2 (open-weight) - Document parsing at virtually any length, within a finite context window - Nearly constant per-step decoding latency and memory footprint as documents grow longer - State-of-the-art performance on MPDocBench and MarathonDocBench
Anthropic's IPO paperwork lists the RAISE Act (and SB53) as a material risk twice. Glad @scottwiener.bsky.social, @agounardes.bsky.social, & I made it riskier for businesses to gamble with our lives. (Also, this is @repdidech.bsky.social & @senatoredlyallen.bsky.social erasure - SB315 is great!)
Important, but not unexpected, finding that experts working with AI agents are swayed by the positions of the AI, even if they think they aren't. If your independent judgement matters on a task, you need to be deliberate about when in the process to bring in AI. www.anthropic.com/research/age...
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