AI News Archive: August 22, 2026 — Part 9
Sourced from 500+ daily AI sources, scored by relevance.
- Andhra approves green AI data centre in Visakhapatnam with investment of over ₹30,000 cr
Incentives for project to include exemption from stamp, electricity duty, and power infrastructure and water supply support
- OpenAI cuts developer pricing for GPT-5.6 Sol model by more than 20%
The price cuts are effective on OpenAI's application programming interface, or API, and are rolling out across eligible plans for credits on its agentic AI product ChatGPT Work and Codex
- OpenAI cuts developer pricing for frontier GPT-5.6 Sol model by more than 20%
OpenAI has announced a significant reduction of over twenty percent in the pricing of its GPT-5.6 Sol model for developers. This adjustment benefits users utilizing OpenAI's application programming interface as well as eligible subscription plans. However, pricing for the Pro, Plus, and Business tiers will remain consistent. Recently, the company also lowered the costs for its smaller GPT-5.
- Harvard’s $699 startup bootcamp offers AI avatars of its instructors
In the HBS Foundry program, AI avatars provide feedback during practice pitches and board meetings.
- Apollo finds AI is hitting paychecks rather than payrolls
An Apollo analysis of 321 occupations found that wages in jobs highly exposed to AI grew 6.7% more slowly after 2023, with no statistically significant employment effect. The gap was 10.7% in the lowest-paid quartile and absent in the highest. The first measurable mark AI has left on the labour market is not unemployment. Apollo’s […] This story continues at The Next Web
- China’s AI and chip firms are handing out shares to keep their engineers
Chinese chip companies are running unusually broad equity schemes to keep engineers, with Cambricon covering 85.3% of its workforce and AMEC more than 97%. Europe’s semiconductor sector has a talent gap estimated at 65,000 workers. Chinese chip companies are giving away equity at a scale that looks less like a bonus scheme and more like […] This story continues at The Next Web
- Chinese company flexes dominance in robotics space with splashy stock market debut
The Chinese robotics company Unitree, known for its highly advanced humanoid robots, made a tremendous debut on Shanghai's stock market. The company is considered an industry leader in robotics.
- UAE-US military AI task force launches after years of joint technology testing
UAE-US military AI task force launches after years of joint technology testing
- Anthropic could aim to raise $100 billion in blockbuster IPO
Anthropic could aim to raise $100 billion in blockbuster IPO
- Anthropic market debut could break SpaceX IPO record: media
Anthropic market debut could break SpaceX IPO record: media Gulf News
- Anthropic Market Debut Could Break SpaceX IPO Record: Media
Anthropic Market Debut Could Break SpaceX IPO Record: Media Barron's
- Debate Judge AI
Free AI Analysis, Live Flow Sheet, and Judging for PF Debate
- A free AI model is winning over developers. And nobody knows whose servers it runs on
An anonymous model called Ox Alpha appeared on OpenRouter last week, free to use with a million-token context window, and developers have been impressed. OpenRouter’s own listing says prompts and completions are retained by the unidentified provider. A model that nobody will take credit for is being tested across the industry. Ox Alpha appeared on […] This story continues at The Next Web
🤖 ModelsAug 22, 2026https://thenextweb.com/news/ox-alpha-stealth-model-openrouter-anonymous-provider - Open Analytics
AI-Native Google Analytics alternative for the modern web
- SubtitleGenerator
From video to publish-ready AI subtitles—all in one browser
- Maccess
Your Mac, in your pocket — trackpad, screen, and AI
- AutoClaw
An AI work agent across desktop, browser, and chat
- Zero
Vercel's programming language built for AI agents
- KerasFormers
Keras 3 collection of pretrained models
- Agents Never Sleep
Agents keep running with the lid closed
- Port Radar for macOS
An AI port manager for your Mac.
- Gemini for Students
Introducing 1 Year Free Google AI for College Students
- TruIntel
Analytics built for AI Search
- Nativ Docs
The collaborative review room for AI-made work.
- DrawGenie
A colouring book starring your child, drawn in minutes
- Clarify
Difficult books, made clearer as you read
- infr.ad · ads pay, you code free
Free LLM API. Ads in your terminal pay for it.
- Antalogy: real Word-like Markdown editor
Word-like UI/UX. Bring your LLM. 100% local. Zero telemetry.
- Waku Cloud
Unlimited AWS & AI engineering for one flat monthly fee
- Clinical, sociodemographic, and genetic predictors of depressive episode duration in the UK Biobank
Background: The course of major depressive disorder is heterogeneous, with UK Biobank (UKB) participants reporting episode durations ranging from <1 month to >24 months. Here, we identify predictors of episode duration, characterise its genetic architecture, and examine links to treatment seeking and response. Methods: In UKB participants meeting criteria for major depressive disorder, we examined clinical, sociodemographic, and genetic predictors of short (0-3 months) and long (>24 months) episode duration, fitted in predictor-specific, domain-level, and combined models. We also conducted genome-wide association studies in European-ancestry participants (n = 40,858) and estimated common-variant heritability. Results: Clinical features were most informative: higher childhood trauma scores, a stressful trigger, and recurrence showed the most consistent associations with short and long durations across models (ORcombined: short = 0.75-0.95; long = 1.13-1.45; all p[≤]0.02). Higher neuroticism scores were also associated with both durations (ORcombined: short = 0.977; long = 1.053; p<0.001). Polygenic risk for depression was associated with episode duration, though its independent contribution was modest. Long episodes were more predictable than short in validation analyses (AUC = 0.705 vs 0.601) and were associated with greater treatment engagement but lower perceived benefit; SNP-based heritability was nominally significant. Conclusions: Clinical features captured most of the predictable variance in episode duration, with the same predictors largely operating in opposite directions for short and long episodes, consistent with a continuum of chronicity. Those at risk for long episodes emerge as a priority for early identification and intervention.
- KMRVID Skills
58 production skills connecting Figma AI to Claude Code
- GitHub
Self-improving AI agent. 100/100 Score.
- Outbid for AI Tools
Outbid other AI Tools to get to the top of this viral site
- Contenza
AI content that ships to Shopify, your app, or any API
- SkillWorks
Scored Claude Code skills, subagents and plugins
- Video Breakdown
Free video to prompt generator for AI video creators
- Is Agentic
Score how agentic your site is
- Parmar
AI pre-filter optimizing LZMA data compression.
- Dibs AI
AI marketplace to Buy/Sell your stuff by Texting AI, FK FB M
- ImgPhotoEditor
Prompt-based photo editing from upload to download
- v by Megaton
Evaluating Video AI for Labs & Creators
- The Castle of Unspoken Fates
AI tarot for reflection, not fortune-telling
- GymFitAI
Log calories by describing your meals — AI does the math
- CVJobMatch
See why your CV gets rejected before a human reads it
- VibeAgent
Build AI workflows visually
- Loudthumb
Your autopilot agent for YouTube thumbnails
- Pilot
Local, terminal-based AI agent you all need
- The AI Astrology — Western Astrology
AI-powered Western astrology, built around your birth chart
- SpecsRelay for DeepSeek
Turn DeepSeek conversations into work your DSH Agent can run
- Verbaform
Your voice is the input and the editor