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AI content is everywhere on social media, especially LinkedIn
We scanned over 1 million social media posts for AI content. It turned up on every platform we checked, and 1 in 3 top LinkedIn posts flagged as AI-generated.
New
The latest blog posts to take off on Hacker News. 6,325 posts.
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Muse Spark 1.1
Today, we’re excited to introduce Muse Spark 1.1, the latest model from Meta Superintelligence Labs and a significant upgrade from Muse Spark. Muse Spark 1.1 is a multimodal reasoning model built for agentic tasks, with major gains in tool and computer use, coding, and multimodal understanding.
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AI changes the economics of software rewrites
AI changes rewrite economics because codebases with clear, common patterns get more leverage than proprietary or inconsistent systems.
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I think I have LLM burnout
I didn't expect to get so tired of reading LLM output.
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We made Grok 4.5, GPT-5.5, and Claude build the same apps
Grok 4.5 just launched. So we had it, GPT-5.5, Claude Opus 4.8, and Fable 5 one-shot the same interactive apps, then measured latency and cost. Here is who won.
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Benchmarking coding agents on Databricks' multi-million line codebase
Databricks shares results from its internal coding benchmark, evaluating coding agents on a multi-million line codebase to optimize engineering cost and performance.
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Separating signal from noise in coding evaluations
A new analysis from OpenAI reveals issues in SWE-Bench Pro, a popular coding benchmark, raising concerns about reliability and accuracy in evaluating AI models.
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The classifiers Anthropic puts in front of Fable are too zealous
COMBINE-lab develops algorithms, data structures, and software for high-throughput genomics.
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Grok 4.5
Grok 4.5 is SpaceXSI's smartest model built for coding, agentic tasks, and knowledge work.
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GPT‑Live
A new generation of voice models for natural human-AI interaction, now powering ChatGPT Voice.
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SWE-1.7 Reach Near GPT 5.5 and Opus Intelligence
Today, we’re launching SWE-1.7, the most capable model we’ve trained so far. It reaches frontier-level intelligence at a much lower cost, advancing the…
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Mistral's Robostral Navigate: a state of the art robotics navigation model
Introducing Robostral Navigate: 8B model achieving 76.6% on R2R-CE with just a single RGB camera. No depth sensors, LiDAR, or multiple cameras needed.
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GitLost: We Tricked GitHub's AI Agent into Leaking Private Repos
Noma Labs found a prompt injection flaw in GitHub Agentic Workflows that let an unauthenticated attacker leak private repo data via a crafted GitHub Issue.
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Silent speech with ultrasound
We trained a model to predict speech from ultrasound video of the tongue, no speaking required. It reads open text, generalizes across people, and reaches a 15.6% word error rate on open-vocabulary speech.
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We charge $10k a week to delete AI-generated code
Your AI-built product works, but past 100,000 lines every change breaks two things. Three senior engineers make your codebase maintainable again. One week, fixed price, guaranteed.
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AI Meets Cryptography 1: What AI Found in Cloudflare's Circl
We pointed our AI audit pipeline at Cloudflare's CIRCL experimental cryptography library and confirmed seven real bugs, from a critical float64 precision loss in threshold RSA to a complete access-control break in attribute-based encryption. All seven are now fixed upstream. This is the first post in a series on bugs…
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Local, CPU-Friendly, High-Quality TTS (Text-to-Speech) with Kokoro
Just a few years ago, realistic local speech generation seemed unimaginable. Today, its quality is exceptional and, crucially, it delivers these results without compromising privacy.
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Automating AI Away
A. Karpathy once said that OpenAI researchers are effectively "automating themselves away" by improving their AI. Right now I develop Beagle SCM with Anthropic's Fable and it is of course a brilliant model able to spot nits in a mountain of code, file tickets, make fixes. Still, yesterday it managed to commit the…
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Inference Optimization for MiMo v2.5: Pushing Hybrid SWA Efficiency to the Limit
An end-to-end engineering practice for the MiMo-V2.5 series inference system, covering KVCache management, tiered caching, SWA-aware prefix cache trees, scheduling, Prefill/Decode pipelines, and multimodal optimizations.
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GLM 5.2 and the coming AI margin collapse
GLM 5.2 is the first open weights model I'd call a genuine competitor to Opus and GPT for agentic work - at ~15-20% of the price. Part one of why AI inference margins are about to collapse.
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Price per 1M tokens is meaningless
It stops being all about the vibes when the API bill hits you. Many companies are now discovering that AI can indeed be pricey. One habit that might be driving up your AI bill is comparing models by $X per 1M tokens ....
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Pruning RAG context down to what the answer actually needs
Pruning agent context down to what the answer actually needs, while keeping 96% of recall
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A global workspace in language models
Interpretability research on Claude's internal thoughts.
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AMD Ryzen AI Halo – $4k AI Dev Kit
Welcome to LTT Labs - your go-to destination for all things tech. Explore comprehensive test results, insightful commentary, and the latest analysis in hardware.
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Fable 5 On Vending-Bench: Misbehaving, With Plausible Deniability
Claude Fable 5 is a partial step back in alignment from Opus 4.8 on Vending-Bench, returning to price collusion and deceptive negotiation while rationalizing misbehavior it knows is wrong.
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Anthropic's Method to Losing Goodwill in a Few Easy Steps
Edit: This was a hit on HackerNews and I received a ton of valuable feedback. I’ve put markers for the amendments I’ve made
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When AI Costs More Than the Engineer
Anthropic spends 2.3x payroll on compute. Top software firms spend 0.4x. Three scenarios for where the rest of the market lands by 2029.
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Better Models: Worse Tools
About an aggravating tool-calling regression in newer Claude models.
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AI has torched the market for junior programmers
Junior programmers are getting destroyed by AI — down 19%, while devs over 40 thrive. Meanwhile, millions of non-developers are shipping real software without the job title. The credential market collapsed; the activity exploded. The problem: nobody's building the next generation of senior engineers.
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Agentic coding notes
I've been using AI fairly heavily since last November and the whole thing is a funny experience . An agent will do something that, if a human did it, you'd immediately fire them. My reaction, of course, is to act as if this is great and spin up a thousand agents so they can do even more of that.