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903 bookmarks · page 5 of 19
2026-03-02 · anthropic.skilljar.com

Anthropic Courses

Learn to build with Claude through Anthropic's comprehensive courses and training programs.

2026-03-02 · karpathy.github.io

microgpt

Musings of a Computer Scientist.

2026-02-25 · simonwillison.net

Claude Code Remote Control

New Claude Code feature dropped yesterday: you can now run a "remote control" session on your computer and then use the Claude Code for web interfaces (on web, iOS and โ€ฆ

โ˜… 2026-02-24 · rubyllm.com

Getting Started

Start building AI apps in Ruby in 5 minutes. Chat, generate images, create embeddings - all with one gem.

2026-02-23 · linkedin.com

๐—–๐—น๐—ฎ๐˜‚๐—ฑ๐—ฒ ๐—ฆ๐—ธ๐—ถ๐—น๐—น๐˜€ ๐—ถ๐˜€ ๐—ฝ๐—ฟ๐—ผ๐—ฏ๐—ฎ๐—ฏ๐—น๐˜† ๐˜๐—ต๐—ฒ ๐—บ๐—ผ๐˜€๐˜ ๐˜‚๐—ป๐—ฑ๐—ฒ๐—ฟ๐—ฟ๐—ฎ๐˜๐—ฒ๐—ฑ ๐—ณ๐—ฒ๐—ฎ๐˜๐˜‚๐—ฟ๐—ฒ ๐—–๐—น๐—ฎ๐˜‚๐—ฑ๐—ฒ ๐—ต๐—ฎ๐˜€ ๐—ฏ๐˜‚๐—ถ๐—น๐˜. If youโ€™re still writing the same prompts in Claude every dayโ€ฆ |โ€ฆ

๐—–๐—น๐—ฎ๐˜‚๐—ฑ๐—ฒ ๐—ฆ๐—ธ๐—ถ๐—น๐—น๐˜€ ๐—ถ๐˜€ ๐—ฝ๐—ฟ๐—ผ๐—ฏ๐—ฎ๐—ฏ๐—น๐˜† ๐˜๐—ต๐—ฒ ๐—บ๐—ผ๐˜€๐˜ ๐˜‚๐—ป๐—ฑ๐—ฒ๐—ฟ๐—ฟ๐—ฎ๐˜๐—ฒ๐—ฑ ๐—ณ๐—ฒ๐—ฎ๐˜๐˜‚๐—ฟ๐—ฒ ๐—–๐—น๐—ฎ๐˜‚๐—ฑ๐—ฒ ๐—ต๐—ฎ๐˜€ ๐—ฏ๐˜‚๐—ถ๐—น๐˜. If youโ€™re still writing the same prompts in Claude every day, youโ€™re doing extra work. Skills fix that. They package your best instructions once, then you reuse them on demand. Result: less repetition, moreโ€ฆ

2026-02-22 · quesma.com

We hid backdoors in ~40MB binaries and asked AI + Ghidra to find them - Quesma Blog

BinaryAudit benchmarks AI agents using Ghidra to find backdoors in compiled binaries of real open-source servers, proxies, and network infrastructure.

We were surprised that todayโ€™s AI agents can detect some hidden backdoors in binaries. We hadnโ€™t expected them to possess such specialized reverse engineering capabilities. However, this approach is not ready for production. Even the best model, Claude Opus 4.6, found relatively obvious backdoorsโ€ฆ
2026-02-17 · kdnuggets.com

The Complete Hugging Face Primer for 2026

A practical 2026 guide to Hugging Face. Explore transformers, datasets, sentiment analysis, APIs, fine-tuning, and deployment with Python.

Today, the Hugging Face Hub hosts millions of pre-trained models, hundreds of thousands of datasets, and large collections of demo applications, all contributed by a global community.
Spaces: this is where you can build and host your demo, using Gradio and Streamlit.
2026-02-16 · reuters.com

Alibaba unveils new Qwen3.5 model for 'agentic AI era'

Alibaba on Monday unveiled a new artificial intelligence model Qwen 3.5 designed to execute complex tasks independently, with big improvements in performance and cost that the Chinese tech giant claims beat major U.S. rival models on several benchmarks.

2026-02-15 · anup.io

Claude Code Tips From the Guy Who Built It

Boris Cherny created Claude Code at Anthropic. Over three Twitter threads (early January, late January, and February 2026), he shared how he and the Claude Code team use it every day. His setup is, in his own words, "surprisingly vanilla." I've pulled together every tip from allโ€ฆ

2026-02-08 · linkedin.com

Google just open-sourced their MCP server for databases. Connect any database to any AI agent in 10 lines of code. It's called MCP Toolboxโ€ฆ

Google just open-sourced their MCP server for databases. Connect any database to any AI agent in 10 lines of code. It's called MCP Toolbox. What it handles: โ†’ Connection pooling โ†’ Authentication โ†’ Query execution โ†’ Tool generation โ†’ OpenTelemetry tracing Supported databases: โ†’โ€ฆ

2026-01-20 · microsoft.com

Multimodal reinforcement learning with agentic verifier for AI agents - Microsoft Research

Argos improves multimodal RL by evaluating whether an agentโ€™s reasoning aligns with what it observes over time. The approach reduces visual hallucinations and produces more reliable, data-efficient agents for real-world applications:

Argos is a verification framework for multimodal reinforcement learning
Argos evaluates how those behaviors were produced.
2026-01-12 · cavendishlabs.org

Sampling at negative temperature

Note: Looking at the equations above, if T<0T<0 then the sign of the exponent flips. That means that the states that were previously the least likely are now the most likely, and vice versa. As temperature approaches zero from the negative side, the model output will again be deterministic โ€” but this time, the least likely tokens will be output.

Looking at the equations above, if T<0T < 0T<0 then the sign of the exponent flips. That means that the states that were previously the least likely are now the most likely, and vice versa. As temperature approaches zero from the negative side, the model output will again be deterministic โ€” butโ€ฆ
2026-01-04 · semiengineering.com

Impact Of On-Chip SRAM Size And Frequency On Energy Efficiency And Performance of LLM Inference (Uppsala Univ.)

A new technical paper titled โ€œPrefill vs. Decode Bottlenecks: SRAM-Frequency Tradeoffs and the Memory-Bandwidth Ceilingโ€ was published by researchers at Uppsala University. Abstract โ€œEnergy consumption dictates the cost and environmental impact of deploying Large Languageโ€ฆ

Our simulation methodology combines OpenRAM for energy modeling, LLMCompass for latency simulation, and ScaleSIM for systolic array operational intensity.
Counter-intuitively, high compute frequency can reduce total energy by reducing execution time and consequently decreasing static energy consumption more than the resulting dynamic power increase