MagnusJonsson

@_devduck @F_Cool_Indies Life sign?

Happy new year y'all! Had a great time chatting with @F_Cool_Indies on his podcast to close out the year - feel free to give it a listen if you're looking for some productivity ideas to carry into January. Hoping to see you all for a new devlog soon! youtube.com/watch?v=w10BNp…

🚨The EU Censorship Files, Part II For more than a year, the Committee has been warning that European censorship laws threaten U.S. free speech online. Now, we have proof: Big Tech is censoring Americans’ speech in the U.S., including true information, to comply with Europe’s far-reaching Digital Services Act.

Founder of The Browser Company: “If you don’t work Claude Code-native ASAP your team’s going to get left behind.” The “Claude Code-native” thing sounds like a buzzword until you look at what’s actualy happening at top engineering orgs. Boris Cherny, who created Claude Code at Anthropic, runs 5-10 parallel Claude instances simultaneously while coding. His team pushes around five releases per engineer per day. Jaana Dogan at Google admitted Claude Code generated a distributed system in 60 minutes that her team spent a year iterating on. The math on productivity compression is wild. Traditional dev cycle for a feature… weeks. Claude Code native teams? Days. Sometimes hours. Ethan Mollick had Claude Code autonomously work for 74 minutes straight building a complete startup website from a single prompt. Miller’s three hiring principles tell you where this is going. One… Premium pay for people native to this way of building. Not “can use AI tools.” Native. Meaning the AI is the primary execution layer and the human provides direction, taste, judgment. Two… Treat teammates like artists at a record label. Get them into flow. Keep them in flow. Help more of their ideas ship. This only works if execution friction approaches zero. Three… Do fewer things with MORE depth and tolerance for risky bets. You can only operate this way when your velocity is 10x what it was before. The mobile native comparison is spot on. Remember when companies were debating whether to build mobile apps? The ones who went mobile-first won. The ones who treated mobile as a nice-to-have got left behind. Same dynamic playing out now. But there’s a harder truth Miller is hinting at. If one engineer with Claude Code outputs what previously required a 5-person team… what happens to headcount planning? The Browser Company already operates with a small team relative to their ambition. Under Atlassian they’re not scaling headcount. They’re scaling output per person. This means two things for founders. First… Your best engineers become worth significantly more. They’re now force multipliers instead of individual contributors. Compensation will reflect this. Second… Your average engineers become a liability. Not because they’re bad. Because they’re not adapting fast enough to the new paradigm. The gap between AI-native engineers and everyone else will widen faster than the mobile transition did. We went from “maybe we should have a mobile site” to “mobile is 60% of traffic” in about four years. I think the Claude Code native transition happens in half that time. Mobile wasn’t optional. Neither is this.

Today we're introducing Skills in claude dot ai, Claude Code, and the API. Skills let you package specialized knowledge into reusable capabilities that Claude loads on demand as agents tackle more complex tasks. Here's how they work and why they matter for the future of agents:

Claude can now use Skills. Skills are packaged instructions that teach Claude your way of working.

This is insane. New AI model from Samsung, 10,000x smaller than DeepSeek and Gemini 2.5 Pro just beat them on ARC-AGI 1 and 2 Samsung’s Tiny Recursive Model (TRM) is about 10,000x smaller than typical LLMs yet smarter because it thinks recursively instead of just predicting text. It first drafts an answer, then builds a hidden "scratchpad" for reasoning, repeatedly critiques and refines its logic (up to 16 times), and produces improved answers each cycle. This approach shows that architecture and reasoning loops (not just size), can drive intelligence. It enables powerful, efficient models that run cheaply, validate neuro symbolic ideas, and open highest quality reasoning to far more applications. Acceleration is everywhere

Introducing Claude Sonnet 4.5—the best coding model in the world. It's the strongest model for building complex agents. It's the best model at using computers. And it shows substantial gains on tests of reasoning and math.

🚨 We’ve just published a recipe to train a frontier-level deep research agent using RL. With just 30 hours on an H200, any developer can now beat Sonnet-4 on DeepResearch Bench using open-source tools. (Thread 🧵)

@olddog100ua @FoxNews @IngrahamAngle delulu

@FoxNews @IngrahamAngle Possibly the most ineffective VP in the history of modern politics.

VP Vance to Zelenskyy: "Mr. President, so long as you behave, I won't say anything." Vance explains to @IngrahamAngle how he broke the ice with Ukrainian President Zelenskyy while he was at the White House on Monday

A Structural Planning Framework for LLM Agent System in Enterprise Agentic systems for enterprise are a work in progress. Reliability is a real problem. No secret that planning works, but structural planning can further help improve the reliability of AI agents. My notes:

Reddit user u/Alternative_Lab_4441 trained a FLUX Kontext LoRA to turn low-res Google Earth screenshots into high-res drone photos. This LoRA turns basic satellite images into professional-quality aerial shots And yes, it’s free to download!

IT'S FINALLY HERE! 🔥 Magnific Precision 🔥 First we created the first Creative Upscaler. Now, we reimagine the new world standard for non-creative upscales! Perfect for photographers and creatives: just more resolution/detail without unwanted changes! Info + tutorials 🧵👇

Alibaba Qwen has just released a non-thinking model even more powerful than Kimi K2... And even better than Claude Opus 4 🤯 → 100% open source → Only 22B active parameters → Available for free in Qwen Chat All the links below

Official results are in - Gemini achieved gold-medal level in the International Mathematical Olympiad! 🏆 An advanced version was able to solve 5 out of 6 problems. Incredible progress - huge congrats to @lmthang and the team! deepmind.google/discover/blog/…

🇰🇷 South Korean AI Lab Upstage AI has just launched their first reasoning model - Solar Pro 2! The 31B parameter model demonstrates impressive performance for its size, with intelligence approaching Claude 4 Sonnet in 'Thinking' mode and is priced very competitively Key details: ➤ Hybrid reasoning: The model offers optionality between 'reasoning' mode and standard non-reasoning mode ➤ Korean-language ability & Sovereign AI: Based in Korea, Upstage announced superior performance in Korean language evaluations. This release aligns with countries' interests to develop sovereign AI capabilities ➤ Pricing: Competitively priced at $0.5/1M tokens (input & output), significantly cheaper than comparable models including Claude 4 Sonnet Thinking ($3/$15/M input/output tokens) and Magistral Small ($0.5/$1.5/M input/output tokens) ➤ Proprietary: @upstageai has not released the model weights, though they have open-sourced previous Solar Pro models. Whether they will release Solar Pro 2's weights remains unclear as it wasn't mentioned in their announcement

Notes for Grok 4 anouncement. Lot to unpack but this summary contains the most important bits. (Bookmark it)

1/ Agentic AI isn’t just a new tool—it’s a new paradigm. We’ve moved from deterministic programs to autonomous digital collaborators. LLMs aren’t scripts—they’re minds with context, memory, and feedback. @danielbentes/the-agentic-transformation-of-software-engineering-81d1d5dbd51e" target="_blank" rel="nofollow noopener">medium.com/@danielbentes/…

AI engineering in 2025: Context is king. This nails where we're at with applied AI. philschmid.de/context-engine…

Have we become complacent? This is actually a remarkable achievement 👏

Anthropic announced they've activated "Al Safety Level 3 Protections" for their latest model. What does this mean, and why does it matter? Let me share my perspective as OpenAl's former lead for dangerous capabilities testing. (Thread)