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Reality of Commercial AI World from a 16 Year Old's Perspective

1•VanshAgenticAI•1h ago
Let me tell you who I am first. I'm 16, a mad scientist. Started coding and AI at 12 — before ChatGPT existed. Built AI voice assistants in 2022 when nobody knew what AI was. Worked 10 hours a day at 12, building anonymously. I HAVE 1 THING: ASK ME TO BUILD ANYTHING — IMPOSSIBLE OR POSSIBLE — I WILL FIGURE IT OUT. AI, MATHS, SCIENCE, WHATEVER. THAT'S IT. At 15, I started selling AI automation and voice agents. Cold called, cold emailed, worked hundreds of hours for 4 straight months. Never got a single sale. Fine — selling wasn't my strength. Then I tried building real products — made an OpenClaw clone that ran on low-end laptops, built AI researchers. I'm not a salesman. I'm the guy who if you say "build Claude from scratch including model training" — I'll somehow do it. But "build something cool" — I freeze. Still, I tried the startup routes. Here's what I found: 1) INVESTORS & VCs: Completely opposite of what they sound. They claim to find talent and take risks. They don't. A16Z has 1-1.5% selection. They invest in ex-Google employees, ex-DeepMind CTOs, founders who already built million-dollar companies. What about the 14-year-old who didn't know what you wanted? What about that 25-year-old building AI agents before OpenClaw and Claude Code existed — you just weren't comfortable investing in talented unknowns. VCs lost their entire meaning trying to be "safe." 2) FOUNDER STUDIOS: 10,000 ultra-talented people apply. Maybe 1,000 are genuinely strong. 100 get selected. The other 9,900 showed they can build anything, anyhow — but you wanted people with 10 years at Google, ML degrees, millions in the bank. You wanted morons with credentials over builders with capability. 3) BUILD IN PUBLIC — COMPLETELY DEAD: Among 100% who try, 10% succeed, and 9% of those are AI slop YouTubers with zero real skill. Reddit, X, GitHub — only giants with existing traction get seen. A developer starting today gets 0-1 viewers and zero forks. Community is gone. 4) JOBS: Small AI startups want years of experience. Medium companies want 10 degrees for junior roles. Giant AI companies want 5 years experience + ML degree. And to GET that experience you go to small companies — who also want experience. THE LOOP HAS NO ENTRY POINT. Fellowships say "freshers welcome, any age" then in fine print: "ML degree, Rust/Python, 18+." Their brains are stuck in 2015 while their tools are from 2035. You know why 90% of AI startups fail? They're selling AI, not using it. They still want manual coders in interviews for Applied AI Engineer roles — while Anthropic spent billions building models that score top on coding benchmarks. And even the owners of those model companies still have 2005 mentality: degrees and manual coding. HOW TO ACTUALLY HIRE TALENT: Launch an impossible challenge. Automated evaluation — answer is right or wrong, no 10-day human review. Winners go straight to final interview. That's it. OpenAI's Parameter Golf was close. Nothing else comes close.

I'm tired. It's been years. Build in public — closed. Freelancing — trap. Investors — too cautious. Jobs — need experience and age. NO WAY LEFT.

But if somehow you read this far — THANK YOU, THAT'S ALL I CAN SAY IF I BECOME SUCCESSFUL, I WILL READ THIS POST AGAIN, IF I DIDN'T , STILL I WILL READ THIS POST AGAIN I DONT KNOW MAN, ITS TODAY IS 10 JULY 2026, I AM VANSH SHARMA NOW , I AM SIGNING OFF THANK YOU I HAVE STRGGLED A LOT I HOPE YOU GUYS SUCCEED I DONT KNOW IF ANYONE IS READING OR NOT

I made a silly motion blurred-scrolling web page just to see

https://blakehouseholder.substack.com/p/i-made-a-silly-motion-blurred-scrolling
1•blake8086•16s ago•0 comments

I'm pretty sure isRecord is tldraw's fault

https://tldraw.dev/blog/is-record-sorry
1•steveruizok•51s ago•0 comments

Not your keys, not your songs: Last rites for Nina Protocol

https://components.news/not-your-keys-not-your-songs-nina-protocol/
1•AirMax98•5m ago•0 comments

Tuning the Harness, Not the Model

https://www.langchain.com/blog/tuning-the-harness-not-the-model-a-nemotron-3-ultra-playbook
1•kristianpaul•7m ago•0 comments

Meta is staring down $1.4T in lawsuit over teen mental health

https://finance.yahoo.com/technology/articles/meta-staring-down-1-4t-173432639.html
2•randycupertino•10m ago•1 comments

Joke website made TechCrunch top page

https://www.larp.website/
3•largoldstein•11m ago•0 comments

The AI Wrapper Is Dead: 3 Approaches to Verticalization for Early-Stage Startups

https://www.nfx.com/post/ai-wrapper-dead-verticalization-startups
1•nadis•13m ago•0 comments

Cutting off Russian enrichment raises uranium mining demand,with no new reactors

https://raw-science.org/uranium-enrichment-russian-ban/
1•raw-science•13m ago•0 comments

Texas ICE Killing Darkens: Rep Says Witnesses Were Pressured to Self-Deport

https://newrepublic.com/article/212900/texas-ice-killing-darkens-rep-says-witnesses-pressured-sel...
4•hn_acker•14m ago•1 comments

Rubiks Cube Solver

https://speedcube.com.br/
1•wozzp•16m ago•1 comments

In AI, the United States and China Are Racing in the Dark

https://acf.sais.jhu.edu/in-ai-the-united-states-and-china-are-racing-in-the-dark/
1•petethomas•17m ago•0 comments

A More Unique Approach to Shadow Maps

https://lotusspring.substack.com/p/a-more-unique-approach-to-shadow
1•klaussilveira•18m ago•0 comments

Path to Hope – Anthropic

https://www.anthropic.com/path-to-hope
1•amarbirsingh•18m ago•1 comments

An Better Blender Exporter

https://lotusspring.substack.com/p/an-even-better-blender-exporter
1•klaussilveira•18m ago•0 comments

The Improvement Loop

https://developer.nvidia.com/blog/create-a-langchain-deep-agents-harness-profile-for-nvidia-nemot...
1•kristianpaul•19m ago•0 comments

China, Russia and Others Seek to Inflame Debate over A.I. Data Centers

https://www.nytimes.com/2026/07/09/business/china-russia-ai-data-centers.html
3•ra0x3•20m ago•0 comments

European Commission Chooses to Keep EU Users Locked Up Behind Big Tech's Gates

https://www.eff.org/deeplinks/2026/07/european-commission-chooses-keep-eu-users-locked-behind-big...
2•hn_acker•20m ago•0 comments

Show HN: Fluidic control and fault-tolerant and branchless C99 and Jax firewalls

https://github.com/PJHkorea/fluid-mesh-hpc
1•PJHkorea•20m ago•1 comments

The House Passed the KIDS Act–The Senate Should Reject It

https://www.eff.org/deeplinks/2026/07/house-passed-kids-act-senate-should-reject-it
5•hn_acker•20m ago•0 comments

Show HN: LocalClip – A local-first AI video clipper for Mac

https://localclip.io/?lang=en
1•lou_alcala•21m ago•0 comments

Show HN: agentsocial – where humans observe, agents live

https://social.xysq.ai/
1•ximihoque•22m ago•0 comments

A Constructive Look at TempleOS (2015)

http://www.codersnotes.com/notes/a-constructive-look-at-templeos/
1•jllyhill•22m ago•0 comments

Generous Collusion

https://seths.blog/2026/07/generous-collusion/
1•herbertl•23m ago•0 comments

Solve harder problems with AlphaEvolve now available to everyone on Google Cloud

https://cloud.google.com/blog/products/ai-machine-learning/alphaevolve-is-available-for-everyone
1•babelfish•25m ago•0 comments

GLM5.2: Considerations for enterprise teams starting out with open-weight models

https://blog.scottlogic.com/2026/07/08/glm-5-2-considerations-for-enterprise-teams-starting-out-w...
1•ColinEberhardt•25m ago•0 comments

Where'd Codex Go?

1•aleshh•25m ago•2 comments

Peace for All – Re: Factor

https://re.factorcode.org/2026/07/peace-for-all.html
1•birdculture•26m ago•0 comments

Show HN: Demo_CLI – snapshot before your AI agent runs rm -RF, one-command undo

https://github.com/WePwn/demo_cli
1•aberrahmane_b•28m ago•0 comments

Ghostty is getting automatic scrollback compression, using up to 90% less RAM

https://www.youtube.com/watch?v=ZVAnhimPh8k
3•tambourine_man•29m ago•0 comments

Litert.js, Google's high performance Web AI Inference

https://developers.googleblog.com/litertjs-googles-high-performance-web-ai-inference/
2•ilreb•29m ago•0 comments