AI News Today

Article URL: https://www.chokepoints.ai/ Comments URL: https://news.ycombinator.com/item?id=48763916 Points: 2 # Comments: 0

Tokenmaxxing is out. Real patterns for reducing costs without sacrificing AI effectiveness The post Tokenminning: How to Get More from Your Chatbot for Less appeared first on Towards Data Science .

Article URL: https://www.reuters.com/business/finance/portugal-launches-first-open-source-ai-model-joining-europes-sovereignty-push-2026-07-01/ Comments URL: https://news.ycombinator.com/item?id=48763840 Points: 3 # Comments: 3

Article URL: https://www.hgen.pl/en/axon/ Comments URL: https://news.ycombinator.com/item?id=48763818 Points: 1 # Comments: 1

Anthropic has cut the system prompt for Claude Code by 80 percent. According to staffer Tariq Shihipar, the new Fable 5 models need fewer instructions and examples. Guidelines can even hold the models back because they're "more imaginative" than what they're given. Instead of strict rules, Anthropic now steers through context. The article Anthropic says it cut 80 percent of Claude Code's system prompt because Fable 5 models "want a smaller system prompt" appeared first on The Decoder .

<pre style='white-space:pre-wrap;width:81ex'>fix(agents): generalize group message-tool etiquette</pre>

I had an interesting experience today: Claude Code asked me a question that required consideration and, after I didn't reply within a short time frame, it said "You're busy. I'll just assume..." and simply went on. Even though I have regularly run with "Accept Edits" or even occasionally "Auto Mode" (once a plan was agreed), I consider this behaviour to be dramatically different. The planning and discussion phase of working with an LLM seems to me the most important: you build the context in whi

Enterprise software giant confirms it's 'applying discipline' when it comes to hiring and business trips as tries to keep pace

<p>The ordinary failure mode I keep seeing in "LLM-assisted infrastructure" pet projects is the one a home-lab Zabbix operator sketched recently: the alert that arrives on the way home from work, on a phone, declaring that a port speed on a switch in the lab has changed and this is <em>very-very important</em>. Zabbix is doing exactly what it was configured to do. The configuration is the problem. Tuning the trigger thresholds by hand is the kind of work that never gets prioritised on a Saturday

<p> Create your own Mac apps by chatting with AI </p> <p> <a href="https://www.producthunt.com/products/glaze-4?utm_campaign=producthunt-atom-posts-feed&utm_medium=rss-feed&utm_source=producthunt-atom-posts-feed">Discussion</a> | <a href="https://www.producthunt.com/r/p/1186480?app_id=339">Link</a> </p>

Article URL: https://lambdasec.github.io/Frame-Grounding-LLM-Vulnerability-Detection-with-a-Sound-Separation-Logic-Core/ Comments URL: https://news.ycombinator.com/item?id=48763412 Points: 2 # Comments: 0

<p><em>by Peter Yang, Behind the Craft</em></p> <p>Today, I want to share 18 hot takes on where I think the AI market is headed.</p> <p><strong>AI is in a weird place right now. The government is restricting access to frontier models, enterprises are becoming conscious of token costs, and everyone’s trying to rebuild their product for agents first instead of humans.</strong></p> <p>I’ve interviewed dozens of AI leaders and spent far too much time following these topics on X/Twitter. Here are 18

<p>What happens when a machine no longer needs to be trained to see something new? That's the quiet question sitting underneath this week's news, buried next to a less invasive brain implant and a handful of robots getting tougher for the real world.</p> <p>Neuralink says it's completed its first "transdural" brain implant, a surgical approach built to reduce trauma during the procedure. As someone who spends a lot of time thinking about how you get sensors close to a human eye without hurting a

<pre style='white-space:pre-wrap;width:81ex'>fix(gemini): stage CLI auth inside run queue Fixes #98945</pre>

<pre style='white-space:pre-wrap;width:81ex'>fix(cli-runner): handle variadic Claude MCP configs Fixes #98944</pre>

<p><em>This tutorial was written by <a href="https://www.linkedin.com/in/nestordaza/" rel="noopener noreferrer">Néstor Daza</a>.</em></p> <p><em>This is the second article in a series about building <a href="https://www.askclaudius.dev/" rel="noopener noreferrer"><strong>Claudius</strong></a>, my own Claude-based chatbot (<a href="https://github.com/extens%20a-io/claudius" rel="noopener noreferrer">Github</a>). The <a href="https://dev.to/mongodb_guests/im-building-my-own-claude-based-chatbot-po

<p> Communities love your brand - Our AI team finds them for you </p> <p> <a href="https://www.producthunt.com/products/trovio-brand-dashboard?utm_campaign=producthunt-atom-posts-feed&utm_medium=rss-feed&utm_source=producthunt-atom-posts-feed">Discussion</a> | <a href="http://www.producthunt.com/r/p/1186473?app_id=339">Link</a> </p>

Hi, I'm working on a document to map the risks from AI and the mitigations on the human side of thing. For example it seems likely that we will have more AI persuasion [1] in the future. So I'm mapping what we can do to mitigate this. Give me a shout if you are interested. [1] https://www.aisi.gov.uk/blog/how-do-ai-models-persuade-exploring-the-levers-of-ai-enabled-persuasion-through-large-scale-experiments My work in progress : https://docs.google.com/document/d/12E6BJdb3gaUXcowW_XnFF0Q0jF7fiSM

It seems every prompt I used previously and now in the re-release will begin and process for long periods of time doing work and then hit some safety margin threshold and then I have to start over. Is anyone having success and what is it you are having success with because I haven't been able to produce anything of value with it yet. Ref: https://www.anthropic.com/news/redeploying-fable-5 Comments URL: https://news.ycombinator.com/item?id=48763247 Points: 2 # Comments: 0

Article URL: https://guibai.dev/a/7657392618506764326/ Comments URL: https://news.ycombinator.com/item?id=48763230 Points: 2 # Comments: 0

Frameworks like Lean Six Sigma and business process management (BPM) first gained traction because they promised clarity in the chaos—a structured way to bring order to messy, sprawling operations. Lean Six Sigma emphasized statistical rigor and quality control; BPM created end-to-end maps of how work should flow across departments. Both offered a repeatable way to…

<p><em>By Hiral Shah, Senior Director, Product Management, Docusign</em></p> <p>A major recurring theme among the engineering teams at this week’s AI Engineer World’s Fair in San Francisco is the push to move specialized AI models out of research and directly into high-volume production.</p> <p>At Docusign, that optimization challenge happens at massive scale: we handle millions of transactions daily and have nearly 1.9 million customers in over 180 countries. Organizations have historically <a

<p><em>by Sergey Karayev, cofounder @ Superconductor</em></p> <p>Recently, my wife and I sat down to plan an upcoming trip. Naturally, we each asked an AI. Trouble was, I had my chat and she had hers, and they knew nothing about each other. So we served as couriers between chatbots: her idea pasted into my chat, my hotel booking screenshotted into hers, the itinerary reconciled by hand in a Google Doc.</p> <p>I bring this up because your team probably works the same unfortunate way: each person

This week’s security news is mostly about weak spots. Browsers, bots, sandboxes, AI systems, and email flows all show the same problem in different ways. Everything looks normal until someone tests a small gap and finds a way through. This is not one big break. It is small permissions, weak checks, open systems, and normal tools doing things they were allowed to do. That same pattern runs

OpenAI CEO Sam Altman has reportedly proposed giving 5% of the company’s equity to a U.S. sovereign wealth fund, reviving discussions about letting the public share in the financial gains from the AI boom.

Article URL: https://namedlocal.com/ Comments URL: https://news.ycombinator.com/item?id=48762975 Points: 1 # Comments: 0

Design slop is the feeling that tells you a website is purely AI-generated. This is an attempt to classify the patterns behind it. I also scored the recent ShowHN submissions on https://slopcop.adriankrebs.ch/show , which shows that about half of all submissions show medium to heavy design slop. This should not trigger a discussion about AI-assisted coding (this project is too), but about visual design traits common with AI-generated frontends. Comments URL: https://news.ycombinator.com/item?id=

Article URL: https://www.techpolicy.press/why-we-need-a-truth-campaign-for-the-ai-era/ Comments URL: https://news.ycombinator.com/item?id=48762931 Points: 3 # Comments: 0

Article URL: https://arxiv.org/abs/2602.03092 Comments URL: https://news.ycombinator.com/item?id=48762930 Points: 1 # Comments: 0

TV Time, the popular TV-tracking app, is shutting down on July 15 as parent company Whip Media pivots toward enterprise AI products.

Insiders say Sam Altman is in active talks with the Trump administration.

As a claude code power user once context compacts it will start writing slop. Especially when writing code for API integrations. For example Supabase auth, it allows user metadata to be writable by clients and leaving service role keys in next.js components. I’ve tried prompting and skills.md to catch this, but it’s not consistent without good test feedback. So I open sourced a collection of test to with no LLM involved from official docs to catch and fix bad code integrations. Enjoy Comments UR

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But don't let the model check itself The post Design Loops, Not Prompts appeared first on Towards Data Science .

Article URL: https://ai-creed.dev/projects/ai-14all/ Comments URL: https://news.ycombinator.com/item?id=48762647 Points: 1 # Comments: 0

Together with a friend, we were developing a golf application. Our codebase grew rapidly and became split between multiple repositories: the iOS app, Android app, backend, front-end, and extra tooling. Both of us also work in larger scale-ups, and we saw the same problem: understanding large distributed codebases becomes progressively harder. Yay for microservices. It takes time to understand and answer questions like: - What calls this function? - What is the impact of changing this interface?

I've found that I can generate a design for most of my projects via the Anthropic Fable (on low) via API for under a dollar or less and then pass it on to any of the lesser models to be implemented. The end result is about as good as letting Fable finish it off. Comments URL: https://news.ycombinator.com/item?id=48762460 Points: 1 # Comments: 0

Article URL: https://loopflow.live Comments URL: https://news.ycombinator.com/item?id=48762390 Points: 1 # Comments: 0

<pre style='white-space:pre-wrap;width:81ex'>fix: retry repository OpenAI key for locale refresh</pre>

FTC urged to reject Elon Musk’s bid to end X monitoring amid AI concerns.