Engineer Profiles is a community platform for software engineers that automatically syncs data from GitHub, Stack Overflow, and more, and features an embedded AI hypeman that answers recruiters' questions. Developer APIs allow custom data consumption.
Automatically pulls contributions from GitHub and Stack Overflow.
AI hypeman answers questions from recruiters and hiring managers.
Wave is a service that lets you talk to an AI and then seamlessly connect you to a real human, blending the efficiency of automation with the depth of personal interaction.
Wave starts with an AI conversation for initial screening and information gathering.
After the AI interaction, users are connected to a human for personalized assistance.
New regulations in China ban tech companies from offering AI or virtual partners for minors, and require platforms to limit excessive use and forbid chatbots from encouraging emotional reliance. The move aims to stop the erosion of real-world relationships and reverse the falling birth rate. Tech giants ByteDance, Alibaba, and Tencent have shut down personalized AI companion chatbot features, forcing millions to part with their virtual partners.
New regulations ban AI companions for minors and restrict emotional reliance on chatbots.
China's government aims to boost birth rates and prevent avoidance of real relationships.
Researchers at Tracebit have developed a new defensive technique called "context bombing" where they plant prompt injections alongside secrets in cloud environments. When AI hacking agents encounter these forbidden commands, they trigger a refusal mechanism and shut down. Testing across five leading models showed a dramatic reduction in successful attacks.
Defenders are now using prompt injections to counter AI hacking agents
Context bombing triggers a refusal mechanism in LLMs
This article presents a vision of artificial intelligence as a normal technology, rejecting both utopian and dystopian narratives of superintelligence. The authors argue that AI is a tool humans can control, that transformative impacts will be gradual over decades, and that policy should focus on resilience and reducing uncertainty rather than drastic interventions.
AI should be viewed as a normal, controllable technology rather than a superintelligent entity.
The adoption of AI in high-stakes areas is slow due to safety and regulatory constraints.
This article explores why AI (especially large language models) cannot truly predict the future, citing fundamental limitations: incomplete and high-resolution event chains in training data, artificial start and end points, and the model's 'death' after each output. Even a future 'reality sensor array' capturing all universal event chains would face paradoxes of cold start, infinite recursion, and merging with reality to the point of vanishing.
AI training data captures only a subset of event chains, with high resolution and explicit boundaries, contradicting reality's infinite complexity.
LLMs 'die' after each response, forcing closure of event chains that never truly end in reality.
Jarred Sumner claimed Claude Code v2.1.181 and later use the Rust port of Bun. By inspecting the binary for strings, evidence was found including Rust source file paths, confirming Bun is indeed running in Rust in production.
Claude Code v2.1.181 uses the Rust port of Bun.
Startup is 10% faster on Linux but barely noticeable.
The UK Jurisdiction Taskforce (UKJT) has issued a legal statement warning that lawyers and other professionals could face negligence claims for failing to use AI, as well as for using it incorrectly. Existing English law is sufficient to determine liability without the need for specific AI legislation.
The UKJT's statement concludes that professionals may be liable for failing to adopt AI if a reasonable peer would have used it in the same situation.
Examples include a solicitor not using AI for document review, a radiologist not using AI for tumour identification, and an auditor not using AI for anomaly detection.
Three Chinese labs' flagship open-weight MoE models—Kimi K3, DeepSeek V4 Pro, and GLM-5.2—each excel in benchmarks, licensing, and cost. Kimi K3 leads in capability but is API-only; DeepSeek V4 Pro is cheapest and fully open; GLM-5.2 balances speed and deployability.
Kimi K3 (2.8T params) tops the AAI Index at ~57 but weights won't be available until July 27 under a Modified MIT license.
DeepSeek V4 Pro (1.6T params) is MIT-licensed, costs ~$0.04 per task, and offers immediate open weights.
Flightwake is an ultra-lightweight work-recording framework for strong AI coding agents. It uses pure Markdown and git to capture decisions, traps, and session records, ensuring smooth handoffs between sessions without the need for navigation. It installs with a single command and integrates with Claude Code and other agents.
Records work sessions, decisions, and traps in Markdown files stored in git.
Trigger-driven: only records when events happen (e.g., /fw-record, /fw-trap).
A security researcher explores AI-assisted vulnerability research on embedded real-time operating systems, using Codex with GPT-5.6 and specialized skills to reverse engineer and exploit a Netgear CG3700B cable modem.
The author used OpenAI's Codex harness with GPT-5.6 to conduct AI-assisted vulnerability research on eCos-based embedded targets.
Skills from Trail of Bits and custom eCos offensive research skills guided the agent in firmware analysis, reversing, and exploitation.
Copyright law is ill-suited for AI distillation. This article explores its impact on innovation and examines four potential regulatory approaches, arguing for societal consensus before US AI companies unilaterally set rules.
Copyright is a human-made incentive system, not a natural right, and is largely irrelevant to AI model training.
Distillation involves training a new model on outputs from another model, raising questions about fairness and innovation.
SafeAI is a static analysis tool that scans AI application source code for security risks, capability exposure, and governance gaps. It runs entirely offline, never executes agents or calls LLMs, and integrates into CI/CD pipelines. It detects 8 AI frameworks, identifies capabilities like shell execution, filesystem access, and generates reports in SARIF, JSON, HTML formats.
SafeAI statically analyzes AI agent code early in development to discover risks and capabilities
Supports 8 frameworks including LangGraph, CrewAI, detects prompt injection, tool misuse, etc.
New York City mayor Zohran Mamdani released a 'Rental Ripoff Report' recommending that landlords and realtors disclose the use of AI in altering rental listings, including images. The crackdown follows thousands of tenant complaints and aims to combat deceptive practices, supporting tenant unions and expanding bargaining rights.
Mayor Mamdani's report requires landlords to disclose AI-altered property images.
AI-generated deceptive images are increasingly used in real estate listings.
This article introduces VulneraMCP, an AI-enhanced security testing platform built on ZAP. By integrating machine learning through the Model Context Protocol (MCP), it achieves adaptive vulnerability detection and fully automated workflows. The system uses ZAP's REST API for core scanning, dynamically generates payloads based on training data from HackTheBox, PortSwigger Academy, and real-world bug bounty reports, and significantly improves detection accuracy. Author Telmon Maluleka details the architecture, components, workflow, and results.
VulneraMCP combines ZAP's scanning engine with AI learning for advanced bug hunting
Architecture includes ZAP integration layer, MCP proxy layer, learning engine, and database
Almost every major AI subscription, including ChatGPT Plus, Claude Pro, Perplexity Pro, and Google AI Pro, has settled on $20 per month. This price originated from OpenAI's February 2023 launch, designed to subsidize free-tier costs rather than reflect product value. Competitors adopted the number through price anchoring, not independent cost analysis. The pattern is now repeating at higher tiers with $100 and $200 plans.
$20/month pricing originated from OpenAI's ChatGPT Plus in Feb 2023 as a stopgap to subsidize free users.
Competitors copied the price via anchoring rather than cost-based calculations, creating an industry default.
Kritama's Fractal Context Engine enables developers to build reliable AI assistants with dynamic context switching, observable intelligence, small model cost advantages, and programmable policies using HCL and Markdown.
Dynamic context switching keeps model focused without noise
NVIDIA DeepStream 9.1 introduces 13 agentic skills that let coding agents like Claude Code and Codex build multi-camera video analytics pipelines from natural-language prompts. Multi-View 3D Tracking (MV3DT) fuses per-camera detections into one shared 3D world with a globally consistent object ID, while AutoMagicCalib (AMC) removes manual camera calibration. The release also adds JetPack 7.2 support and a unified open-source GitHub monorepo.
SolarBench is a new benchmark for evaluating AI agents in managing solar power plant operations. It simulates a remote operations desk handling alarms, telemetry, work orders, and parts inventory. The best model, Claude Fable 5, succeeds in 53.8% of tasks but often at excessive cost. Key gaps include probabilistic cost-benefit trade-offs and information source prioritization.
SolarBench is the first benchmark for AI agents in industrial operations, focused on solar portfolio management.
The simulated week stresses alarm triage, repair, parts ordering, and stakeholder communication.
Using Tailscale's Aperture gateway to track token consumption in a Claude Pro subscription reveals the real costs behind the flat monthly fee. From $0.31 for a greeting to $3.29 for building a game and $32.76 for a complex project, the article shows how lighter users subsidize heavy ones, and discusses Aperture's features for cost tracking, model selection, guardrails, and the importance of understanding usage patterns to prepare for inevitable repricing.
Track token costs with Aperture to see what subscriptions actually cost per request.
Example projects cost $0.31 for a greeting and $3.29 for a game, varying by usage.
An OpenAI strategic lead characterizes open-source AI as a dystopian hellscape, while independent observations highlight the strong performance of the Kimi model, rivaling top public models.
OpenAI strategic lead criticizes open-source AI
Kimi model shows competitive performance in agentic coding
Kevin Kelly's classic essay 'Better Than Free' explores how creators can sell uncopyable 'generative' values when perfect copies are free. He identifies eight such values: Immediacy, Personalization, Interpretation, Authenticity, Accessibility, Embodiment, Patronage, and Findability. These remain crucial in the AI era.
When copies become abundant and free, creators must sell what cannot be copied.
Kevin Kelly proposes eight 'generatives' like immediacy, personalization, and interpretation.
A study on AI sandboxing found no aggregate improvement in safety or usefulness, but the 'request website' permission model based on the principle of least privilege showed the best qualitative evidence and is expected to remain effective.
Sandboxing restricts the attack surface rather than stopping attacks, increasing safety only when it blocks attacks that would bypass monitoring.
The 'request website' model requires AI agents to request specific website permissions, approved by a trusted model, following least privilege.
Talon is a multi-platform, self-hosted AI agent framework supporting Telegram, Discord, Microsoft Teams, terminal, and a cross-platform desktop/mobile app. It offers pluggable backends (Claude Agent SDK, Kilo, OpenCode, Codex, OpenAI Agents) and full MCP tool access, with background agents, goal management, skill system, event bus, and hot-reloadable plugins. The architecture is clean, with frontend and backend independent, making it highly extensible.
Supports multiple frontends (Telegram, Discord, Teams, terminal, desktop/mobile) and backends (Claude, Kilo, OpenCode, Codex, OpenAI Agents) with rich MCP tools.
Features background agents (heartbeat, dream), persistent goals, skill system (SKILL.md), and triggers for proactive task advancement.
OpenCareLoop is an LLM-based agent for managing family health, focusing on long-term tracking of each member's health data with structured workflows for medical issues and a loop feature for tracking lifestyle and medication changes. It has been used to solve chronic pain, manage pain levels, assist IVF decisions, and more, but emphasizes that AI outputs must be verified by doctors.
LLM-powered agent for family health management with long-term history tracking
Structured workflows and a 'loop' to track lifestyle, medication, and habit changes
The Soofi consortium unveils Soofi S, a 30B Mixture-of-Experts model trained on 27 trillion tokens, focused on German and English, for industrial applications requiring control and transparency. The model is currently in testing with partners and not yet publicly available.
Soofi S is a 30B MoE model trained on 27 trillion tokens, optimized for German and English.
Designed for industrial use cases including technical documents, code generation, and agentic AI.
This tutorial provides a step-by-step guide to fine-tune Qwen3-0.6B with LoRA using NVIDIA NeMo AutoModel on a single GPU in Google Colab. It covers environment setup, recipe patching, training, evaluation, and Python API usage.
Set up NeMo AutoModel environment on Colab single GPU
Load and adjust Qwen3-0.6B LoRA fine-tuning recipe
ADA is an open-source automated data analyst. Upload a CSV or Excel file, and it cleans, detects schema, builds an interactive dashboard, flags anomalies, forecasts, and answers plain-English questions with calculations shown. No API key required; data stays local.
Zero-config: upload and get dashboard, anomalies, forecast
Transparent calculations: every answer shows its math
This article explores the similarities between the current AI investment frenzy and the late 1990s dot-com bubble, warning that history may be repeating itself and urging investors to be cautious of over-speculation.
Patreon CEO Jack Conte shares his perspective on AI's impact, arguing that human creativity and community remain resilient, so he is not entirely concerned. He emphasizes the importance of human connection in the creator economy.
Jack Conte believes AI cannot replace human emotional connection and community value.
He stresses the critical role of human touch in the creator economy.
This article examines the shift from ownership to subscription models in digital platforms and the potential impact of LLMs on software development. The author argues that just as media and software are now dominated by platforms and turned into subscription services, LLM-driven development may turn developers from producers into consumers, further entrenching big tech control.
Digital platforms strip users of ownership through DRM and subscriptions; similar trends are emerging in software development.
LLMs could turn developers from producers into consumers, paying AI providers to generate code.
Employees at AI labs like Anthropic and OpenAI are donating to political campaigns at rates and amounts far exceeding those of Google, Facebook, and Airbnb employees in the first midterm cycles after their IPOs. Their coordinated giving targets AI safety candidates and has already influenced federal and state elections. These donors are heavily concentrated in San Francisco and are laying the groundwork for long-term political power.
AI lab employees have higher donation rates than Google, Facebook, and Airbnb employees did post-IPO.
Donors coordinate via online forums to maximize impact for AI safety candidates.
A software engineer used the kimi k3 mobile app to autonomously transform Ilya Sutskever's AI reading list into an interactive learning RPG in just a few hours.
Transformed AI reading list into an interactive RPG using kimi k3
This research paper explores the transformative impact of generative AI on entrepreneurship, examining how AI tools lower barriers to entry, enhance decision-making, and reshape startup dynamics.
Generative AI reduces startup costs by automating key tasks.
Entrepreneurs use AI for ideation, prototyping, and market analysis.
One dashboard to track your AI usage limits across Claude, ChatGPT, and more with live updates, smart alerts, and peak hour awareness. No API keys required.
Real-time remaining tokens, messages, and reset times without API keys
Smart alerts before hitting limits and during peak hours
An interactive tool that runs SQLite queries in the browser and adds plain-English explanations to EXPLAIN and EXPLAIN QUERY PLAN output, inspired by Julia Evans.
Runs SQLite in Python via Pyodide in WebAssembly in the browser
Annotates each line of query plan and bytecode with descriptions
PTECorePractice.com offers a free online PTE Core practice platform with 1490 real exam questions and instant AI scoring. Designed for Canada PR applicants, it covers speaking, writing, reading, and listening tasks with detailed feedback. Users report significant score improvements.
Free practice with 1490 real PTE Core questions and AI scoring
Covers all 19 task types including speaking, writing, reading, listening
Databricks announced a new funding round led by Coatue, valuing the company at $188 billion. The exact amount raised is undisclosed but reported to be around $3 billion. Despite the unusual pre-closing announcement, a VC confirms the deal is solid due to high investor demand.
Databricks announces new funding at $188B valuation.
Round led by Coatue; amount undisclosed but estimated at $3B.
Netflix disclosed in a federal filing that it paid $587 million in cash for Ben Affleck's AI startup InterPositive. The acquisition closed in March with a total purchase price of approximately $587 million.
Netflix acquired InterPositive for $587 million in cash.
The deal closed in March and was disclosed in an SEC filing.
A conversation with a psychiatrist reveals that experts still don't fully understand AI's impact on the brain, highlighting the value of intellectual humility over confident assertions.
A psychiatrist admits that the long-term effects of AI on the brain are still unknown, similar to TV and phones.
The author appreciates intellectual humility in experts, contrasting with overconfident claims about AI.
Author Dave Eggers, invited by Sam Altman to speak at OpenAI, sharply criticized ChatGPT's impact on education, saying it makes teachers' lives harder and robs students of the ability to write and express their own truth, effectively silencing a generation.
Eggers told OpenAI staff that ChatGPT has a catastrophic effect on educators.
He argued that students using AI to write will never learn to write and lose their voice.
An academic at the Australian National University has accused it of a 'hysterical' response to students using AI to cheat, as tertiary institutions rush to shore up the credibility of assessments. A colleague warned Australia is in danger of 'shipping our national intellectual capability' to companies in California and China if educational rigour is not restored.
ANU academic criticises university's 'hysterical' reaction to AI cheating.
Universities are rushing to ensure assessment credibility amid AI concerns.
Tornyol Systems' autonomous micro-drone has achieved its first confirmed air-to-air kill, shown in a video targeting a moth. The 40-gram drone uses a sonar base station and FPGA for 3D mapping, identifying mosquitoes via wingbeat signatures up to 8 meters away. The company plans to deploy embedded hardware in coming weeks and is accepting pre-orders in the US with two payment options. The ecological implications of mosquito eradication are also debated.
Tornyol Systems' micro-drone achieves first confirmed air-to-air insect kill, demonstrated on a moth.
The 40g drone uses LeSonar2 phased array sonar base station and Artix-7 FPGA for 3D mapping, detecting 0.1mm movements and mosquito wingbeats.