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AI User Expresses Frustration with AI Tools on Reddit
https://preview.redd.it/d4t5rd1f5ayg1.jpg?width=1062&format=pjpg&auto=webp&s=662ea8a0a701924af3b24c6b29bbdbaacb38129b I dislike AI strongly. It happened seven times. 🥲😢 Death to crazy AI!
Google Expands Real-World GenAI Use Cases to 1,302
Google Expands Real World GenAI Use Cases to 1,302 Google has significantly increased the number of real world Generative AI (GenAI) applications to 1,302, mark…
Trading System V2: AI's Role in Deterministic Execution
Thanks to the incredible feedback on my last post, I’m officially moving away from the "distributed veto" system (where 8 LLM agents argue until they agree to trade). For v2, I am implementing a strict State Machine using a deterministic runtime (llm-nano-vm). ​The new rule is simple: Python owns the math and the execution contract. The LLM only interprets the context. ​I've sketched out a 5-module architecture, but before I start coding the new Python feature extractors, I want to sanity-check the exact roles I’m giving to the AI. Here is the blueprint: ​1. The HTF Agent (Higher Timeframe - D1/H4) ​Python: Extracts structural levels, BOS/CHoCH, and premium/discount zones. ​LLM Role: Reads this hard data to determine the institutional narrative and select the most relevant Draw on Liquidity (DOL). ​2. The Structure Agent (H1) ​Python: Identifies all valid Order Blocks (OB) and Fair Value Gaps (FVG) with displacement. ​LLM Role: Selects the highest-probability Point of Interest (POI) based on the HTF Agent's narrative. ​3. The Trigger Agent (M15/M5) ​100% Python (NO LLM): Purely deterministic. It checks for liquidity sweeps and LTF CHoCH inside the selected POI. ​4. The Context Agent ​LLM Role: Cross-references active killzones, news blackouts, and currency correlations to either greenlight or veto the setup. ​5. The Risk Agent ​100% Python (NO LLM): Calculates Entry, SL, TP, Expected Value (EV), and position sizing. ​The state machine will only transition to EXECUTING if the deterministic Trigger and Risk modules say yes. The LLMs are basically just "context providers" for the state machine. ​My questions for the quants/architects here: ​Does this division of labor make sense? Am I giving the LLMs too much or too little responsibility in step 1 and 2? ​By making the Trigger layer (M15/M5) 100% deterministic, am I losing the core advantage of having an AI, or is this the standard way to avoid execution paralysis? ​Would you merge the HTF and Structure agents to reduce token constraints/hallucinations, or is separating them better for debugging? ​Would love to hear your thoughts before I dive into the codebase.
Top AI Models Compared: SVG Generation Performance and Cost
These are the top open and closed model: Opus 4.7, GPT-5.5 Pro, DeepSeek V4, GLM-5.1 and Gemini 3.1 Pro. They both show similar performance in my testing. Open models: The only open models that have equivalent quality compared to the top models are DeepSeek and GLM. Cost: GPT 5.5 Pro: Super expensive it makes no sense (cost is around $2) Gemini/Opus: $0.2/$0.1. Opus is cheaper as it consumed less tokens DeepSeek/GLM: $0.019/$0.021 10-5 times cheaper than Gemini and Opus
Can AI Tool Use During Studies Affect Future Liability?
I graduated from university a couple months back, but have been continuing to use a student version of a coding/design agent that essentially gives me much more features at a significantly cheaper price. If this product launches and is proven to be successful can I be held liable for using this tech in the future and not paying for the full product? I know this situation may be unusual, but it's something that has been top of mind for me.
Will AGI Arrive Suddenly or Gradually?
And what's the most important thing you expect it to bring? Stability, better reasoning, something else? Curious to hear your thoughts, I noticed people having different opinions
10 Reasons Selling AI Tools to Developers is Challenging
Nowadays, everyone (including me) wants to sell AI-powered tools, platforms, or products. Few people (including me 6 months ago) have any idea how hard it is to approach and convince technical people for at least 10 reasons: 1 - They're constantly bombarded with messages. 2 - Everyone sells everything, so supply >>> demand. 3 - Extremely high background noise. 4 - They see an AI-generated message from 10km away (they've trolled me several times). 5 - If they have to go through a demo to try the product, they've already closed the tab. 6 - The opinions of devs, who value any glossy slide, count much more. 7 - Product trials are unforgiving; it's like being in court accused of 16 murders. If they find bugs or poor performance at that point, for them the product is broken and the window closes. 8 - They always have a plan B: I'll make it myself. Only 9 - If you don't have a solid track record (or you studied biotech like me), everything is 10x harder. 10 - Like the MasterChef judges, who used to be just chefs and now are atomic hotties, today's CTOs and top devs are stars; literally everyone wants them. It seems easier to scale a dev tool today because there are infinite tools, but in reality it's really tough. On the one hand, you have to earn the trust of technical teams through intros, messages, calls, and events; on the other, you have to scale at the speed of light because you're only six months old. Advice, ideas, scathing comments, insults? Anything goes. \*Not true
Anthropic CEO Dario Amodei's Taiwan Dinner Sparks Intrigue
Anthropic's Dario Amodei in Taiwan: A Dinner that Generated Interest In early October 2023, Dario Amodei, the CEO of Anthropic, made headlines for a dinner in T…
AI Tool Comparison: Claude, GPT-4, and Gemini for Article Summarizatio
I've been building a product around AI-powered reading (more on that later) and wanted to share findings on summarization quality across major LLMs. Tested with 50 articles across news, research papers, blog posts, and technical docs: **Claude (Sonnet/Haiku):** \- Best at preserving nuance and avoiding oversimplification \- Strongest at academic content \- Excellent for "explain this without losing the point" **GPT-4:** \- Fastest summaries, often most concise \- Sometimes drops important context \- Good for news, weaker on academic **Gemini:** \- Strongest source citations \- Tends to add information not in the original \- Good for factual but careful with creative content Most surprising finding: **bias detection accuracy**. Claude flagged loaded language and framing in 78% of test articles correctly. GPT 64%. Gemini 51%. Anyone else doing similar comparisons? Would love to hear what you're seeing
Open Source AI Setup Repo Hits 800 Stars on GitHub
Yo real talk we did not expect this kind of love when we open sourced our AI setup repo but here we are sitting at 800 stars and 100 forks and we are genuinely hyped about it. The repo is a collection of AI agent setups configs and workflows that you can plug straight into your projects. No gatekeeping just pure community goodness. We built this because setting up AI agents from scratch every single time is a massive time sink. So we said forget it lets just share everything openly and let the community build on top of it. Repo is right here: [https://github.com/caliber-ai-org/ai-setup](https://github.com/caliber-ai-org/ai-setup) Now we want YOUR input. What setups are you missing? What features would make this a no brainer for your workflow? Drop your ideas below because we are building in public and your feedback actually ships. LGM 🚀
Elon Musk's AI Safety Testimony: Key Points and Implications
Apparently, "Musk doesn’t know what an AI safety card is, and he struggled mightily to identify specific safety concerns he has about OpenAI" among other interesting tidbits. Feels like this suit is going to get thrown out?
AI Calorie Tracker: Dynamic Apple Health Integration for Active Users
Hey everyone, I'm currently in the final stretch of developing my Al calorie tracker (the one that breaks down photos into individual ingredients). One thing I'm obsessed with getting right before the beta launch in 2 weeks is the Apple Health integration. Most apps just show you a static number. I want mine to be dynamic. If you go for a 500kcal run, the app should know and adjust your macro targets for the next meal. My question to the fitness-tech crowd: Do you prefer apps that strictly stick to your base metabolic rate (BMR), or do you want the 'earned' calories from your Apple Watch to be automatically added to your budget? I've seen strong opinions on both sides. I'm also fine-tuning the macro-overflow logic (e.g., saving surplus calories for the weekend). Would love to hear some thoughts from people who actually track daily.
Small Businesses Leverage AI for Competitive Edge
Hi everyone... Just wanted your take on this. My uncle runs a small warehouse and he distributes a fast-moving retail product. He thinks it's him against the world, David vs Goliath shit. So in order to level the playing field, he uses CHATGPT (paid version) and GEMINI for all advices, like legal, analysis, demand planning etc. Everything. Sometimes talking to him is like talking to a bot, because all his thoughts originate from it. How badly do you think this is going to backfire? I read some horrid stories, but to build an entire business model thinking the competitive advantage is ai (when everyone has access to them), seems iffy at best.
AutoIdeator: Free Open Source Agent Orchestration for Development
[https://github.com/akumaburn/AutoIdeator](https://github.com/akumaburn/AutoIdeator) https://preview.redd.it/rfbgg6e34dyg1.png?width=3809&format=png&auto=webp&s=e436362c48482d09025a394a5e609f67190e6dfa AutoIdeator is an autonomous development system that: 1. Takes a **final goal** — a detailed, multi-sentence description of the intended end result. Describe what the finished project should look like, do, and feel like for the user. **Do not** prescribe implementation steps, phases, milestones, technologies, or task lists — the agents handle planning. The more clearly the desired end state is described, the better convergence will be. 2. Generates improvement ideas via a rotating ensemble of specialized idea agents 3. **Scores and filters ideas** for goal alignment and quality 4. **Critiques ideas constructively** with suggested mitigations 5. **Evaluates strategic alignment** and long-term planning 6. Makes implementation decisions balancing creativity and criticism 7. Implements the plan with parallel coders 8. Reviews, fixes, and commits changes 9. **Runs QA** (build + test verification) 10. **Optimizes slow tests** to keep the suite fast 11. **Verifies goal completion** with 3-step feature inventory, per-feature checks, and auto-remediation 12. **Refactors oversized files** into smaller modules (every other cycle) 13. **Cleans up** temp files and build artifacts 14. Updates project documentation 15. **Records outcomes for learning and deduplication** 16. **Periodically synthesizes synergies** across recent work 17. **Checkpoints state** for pause/resume across restarts 18. Repeats the cycle infinitely until stopped Users can inject suggestions at any time via the Overseer agent, which takes priority over the autonomous idea generation pipeline. Note this system has been tested for some time but only in the dashboard with OpenCode/Claude Code configuration (OpenRouter mode is untested, but I welcome contributions if someone wants to use that mode and notices something is broken).
Track Real-Time GPU & LLM Pricing Across Cloud Providers
Deploybase is a dashboard for tracking real-time GPU and LLM pricing across cloud and inference providers. You can view performance stats and pricing history, compare side by side, and bookmark to track any changes. https://deploybase.ai
Elon Musk's xAI Uses OpenAI Tech for Training
Elon Musk's xAI: Leveraging OpenAI for Advanced Training Elon Musk's new venture, xAI, is making waves in the artificial intelligence (AI) community by utilizin…
Claude Agent SDK: Web Browsing Tool for AI
Claude Agent SDK with a web browsing tool
Top Cross-Platform Terminal Emulator: Ghostty
👻 Ghostty is a fast, feature-rich, and cross-platform terminal emulator that uses platform-native UI and GPU acceleration.
Open-Source Computer Science Curriculum by ForrestKnight
Video discussing this curriculum:
Sri Lanka Loses $3M in Recent Cyber Attacks Amid Debt Crisis
The government of Sri Lanka has lost more than $3 million in two recent, separate cybersecurity incidents as the country continues to recover from its 2022 debt crisis.
Earth AI Expands to Streamline Critical Mineral Search
When Earth AI started hitting months-long delays in its search for critical minerals, it decided to take matters into its own hands.
Apple's App Store Fee Changes Head to Supreme Court
Apple lost its bid to pause court-ordered App Store payment changes, keeping external purchase links in place as its case with Epic heads toward the Supreme Court.
Uber Expands with AI-Powered Hotel Bookings
Uber announced several new features on Wednesday during its annual event, which push far beyond the company's original ride-hailing purpose and deeper into its users' lives.
Roku's Howdy Streaming Service Hits 1M Subscribers
Roku’s $2.99 streaming service Howdy has topped 1M subscribers, showing demand for cheaper, low-commitment alternatives to pricier streamers.
Pursuit Secures $22M for AI-Driven Government Sales
On Wednesday, Pursuit announced a $22 million Series A round led by Mike Rosengarten, the co-founder of OpenGov, with big-name VCs participating.
Google TV Expands with New Gemini AI Features
Google TV just got more Gemini features, including the ability to transform photos and videos with tools Nano Banana and Veo.
Google Photos AI Creates Virtual Closet from Your Photos
Google says the new feature will leverage AI technology to automatically create a copy of your wardrobe that's based on the pieces of clothing appearing in your Google Photos library.
Parallel Web Systems Valued at $2B After $100M Raise
The AI agent-tool startup founded by former Twitter CEO Parag Agrawal has raised $100 million, led by Sequoia, months after raising a previous $100 million.
Zap Energy Expands to Nuclear Fission, Alongside Fusion
Surprise! Fusion startup Zap Energy says it will be developing fission reactors alongside its fusion devices.
Google Adds 25M Subscriptions in Q1, Boosted by YouTube and Google One
Google added 25M paid subscriptions in Q1, reaching 350M total, as YouTube and Google One grow.
Google Cloud Hits $20B Revenue Milestone, Faces Capacity Constraints
Google Cloud topped $20B in quarterly revenue for the first time, fueled by surging demand for AI. But capacity constraints mean it could have grown even faster.
Microsoft's Nadella: Ready to Leverage OpenAI Deal for Cloud Customers
Microsoft gets to offer OpenAI's tech to its cloud customers and doesn't have to pay for it. "We fully plan to exploit it," Nadella said.
Microsoft's Copilot Surpasses 20M Paid Users with High Engagement
Despite the lingering perception that no one really uses Copilot, Microsoft said on Wednesday that the number of users and engagement is growing.
Meta's Billions in Losses on AR/VR and AI
Meta is losing billions on Reality Labs each quarter, and its AI expenditures are only going to increase its spending.
Elon Musk Faces Legal Battle Over OpenAI Tweets
Elon Musk took the stand for the second day for his attempt to legally dismantle OpenAI.
Anthropic Aims for $900B Valuation in New Funding Round
The maker of Claude has received multiple pre-emptive offers at valuations in the $850 billion to $900 billion range, according to sources familiar with the matter.
Amazon's AWS Surges, Drives Massive Cloud Spending
The e-commerce giant is making more money than expected from AWS but it's also spending a lot, and will continue to do so in the near term, its chief executive said.
Amazon, Meta Challenge Google Pay, PhonePe in India's UPI Market
PhonePe and Google Pay command 80% of India's UPI instant payments network. Rivals are set to meet with regulators to lobby for restrictions.
SoftBank's Robotics Venture Eyes $100B IPO for AI Infrastructure
You need infrastructure to build AI a and robots, but apparently you also need AI and robots to build infrastructure.
AI Tools: DominionList.com's Latest Innovations on Hacker News
AI Tools: Dominion List's Latest Innovations Showcased on Hacker News DominionList.com has recently introduced a suite of innovative AI tools that are garnering…
The Dominion List: Open-Source Database of Canadian Founders in the US
The Dominion List: Revolutionizing Access to Canadian Entrepreneurs in the US The Dominion List stands as an innovative, open source database dedicated to catal…
AI Tool: Merca.Earth Revolutionizes Sustainability with AI
Revolutionizing Sustainability: Exploring Merca.Earth's AI Tool In an era where sustainability is at the forefront of global concerns, innovative technologies a…
1990s Game Dev Algorithms for Distributed Systems on HN
Harnessing 1990s Game Development Algorithms for Modern Distributed Systems The 1990s were a pivotal era for game development, with algorithms from this period …
AI Tool by Alex Barnes: GitHub Release
Exploring the AI Tool by Alex Barnes: GitHub Release The AI Tool by Alex Barnes, recently released on GitHub, offers users an array of innovative features that …
Claude Code Web UI: AI Tool for Developers
Claude Code Web UI: AI Tool for Developers The Claude Code Web UI is an innovative, advanced AI driven tool designed to streamline coding processes for develope…
Evan Bacon's AI Tool: Revolutionizing GitHub Workflows
Evan Bacon's AI Tool: Revolutionizing GitHub Workflows Evan Bacon's innovative AI Tool is transforming how developers manage their GitHub workflows. By leveragi…
Stream iOS Simulators Directly to Browser with AI Tool
Stream iOS Simulators Directly to Browser with AI Tool The integration of AI tools simplifies streaming iOS simulators to a browser, offering various applicatio…
AI Tool: GitHub's Adam-S Revolutionizes AI Development
AI Tool: GitHub's Adam S Revolutionizes AI Development GitHub has introduced Adam S, an innovative AI tool designed to streamline and enhance the AI development…
AI Tool Mines Academic Research for Time Series Insights
AI Tool Unlocks Academic Research for Time Series Insights In the ever evolving landscape of data science and analytics, an innovative AI tool is revolutionizin…
AI Tool for Dyslexia Support Launched on GitHub
AI Tool for Dyslexia Support Launched on GitHub A pioneering AI driven tool designed to aid individuals with dyslexia has recently been made available on GitHub…