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Are AI agents ready for the workplace? A new benchmark raises doubts

https://techcrunch.com/2026/01/22/are-ai-agents-ready-for-the-workplace-a-new-benchmark-raises-do...
1•PaulHoule•21s ago•0 comments

AI Watermark and Stego Scanner

https://ulrischa.github.io/AIWatermarkDetector/
1•ulrischa•56s ago•0 comments

Clarity vs. complexity: the invisible work of subtraction

https://www.alexscamp.com/p/clarity-vs-complexity-the-invisible
1•dovhyi•1m ago•0 comments

Solid-State Freezer Needs No Refrigerants

https://spectrum.ieee.org/subzero-elastocaloric-cooling
1•Brajeshwar•2m ago•0 comments

Ask HN: Will LLMs/AI Decrease Human Intelligence and Make Expertise a Commodity?

1•mc-0•3m ago•0 comments

From Zero to Hero: A Brief Introduction to Spring Boot

https://jcob-sikorski.github.io/me/writing/from-zero-to-hello-world-spring-boot
1•jcob_sikorski•3m ago•0 comments

NSA detected phone call between foreign intelligence and person close to Trump

https://www.theguardian.com/us-news/2026/feb/07/nsa-foreign-intelligence-trump-whistleblower
3•c420•4m ago•0 comments

How to Fake a Robotics Result

https://itcanthink.substack.com/p/how-to-fake-a-robotics-result
1•ai_critic•4m ago•0 comments

It's time for the world to boycott the US

https://www.aljazeera.com/opinions/2026/2/5/its-time-for-the-world-to-boycott-the-us
1•HotGarbage•5m ago•0 comments

Show HN: Semantic Search for terminal commands in the Browser (No Back end)

https://jslambda.github.io/tldr-vsearch/
1•jslambda•5m ago•1 comments

The AI CEO Experiment

https://yukicapital.com/blog/the-ai-ceo-experiment/
2•romainsimon•6m ago•0 comments

Speed up responses with fast mode

https://code.claude.com/docs/en/fast-mode
3•surprisetalk•10m ago•0 comments

MS-DOS game copy protection and cracks

https://www.dosdays.co.uk/topics/game_cracks.php
3•TheCraiggers•11m ago•0 comments

Updates on GNU/Hurd progress [video]

https://fosdem.org/2026/schedule/event/7FZXHF-updates_on_gnuhurd_progress_rump_drivers_64bit_smp_...
2•birdculture•12m ago•0 comments

Epstein took a photo of his 2015 dinner with Zuckerberg and Musk

https://xcancel.com/search?f=tweets&q=davenewworld_2%2Fstatus%2F2020128223850316274
7•doener•12m ago•2 comments

MyFlames: Visualize MySQL query execution plans as interactive FlameGraphs

https://github.com/vgrippa/myflames
1•tanelpoder•13m ago•0 comments

Show HN: LLM of Babel

https://clairefro.github.io/llm-of-babel/
1•marjipan200•13m ago•0 comments

A modern iperf3 alternative with a live TUI, multi-client server, QUIC support

https://github.com/lance0/xfr
3•tanelpoder•15m ago•0 comments

Famfamfam Silk icons – also with CSS spritesheet

https://github.com/legacy-icons/famfamfam-silk
1•thunderbong•15m ago•0 comments

Apple is the only Big Tech company whose capex declined last quarter

https://sherwood.news/tech/apple-is-the-only-big-tech-company-whose-capex-declined-last-quarter/
2•elsewhen•18m ago•0 comments

Reverse-Engineering Raiders of the Lost Ark for the Atari 2600

https://github.com/joshuanwalker/Raiders2600
2•todsacerdoti•20m ago•0 comments

Show HN: Deterministic NDJSON audit logs – v1.2 update (structural gaps)

https://github.com/yupme-bot/kernel-ndjson-proofs
1•Slaine•23m ago•0 comments

The Greater Copenhagen Region could be your friend's next career move

https://www.greatercphregion.com/friend-recruiter-program
2•mooreds•24m ago•0 comments

Do Not Confirm – Fiction by OpenClaw

https://thedailymolt.substack.com/p/do-not-confirm
1•jamesjyu•24m ago•0 comments

The Analytical Profile of Peas

https://www.fossanalytics.com/en/news-articles/more-industries/the-analytical-profile-of-peas
1•mooreds•24m ago•0 comments

Hallucinations in GPT5 – Can models say "I don't know" (June 2025)

https://jobswithgpt.com/blog/llm-eval-hallucinations-t20-cricket/
1•sp1982•25m ago•0 comments

What AI is good for, according to developers

https://github.blog/ai-and-ml/generative-ai/what-ai-is-actually-good-for-according-to-developers/
1•mooreds•25m ago•0 comments

OpenAI might pivot to the "most addictive digital friend" or face extinction

https://twitter.com/lebed2045/status/2020184853271167186
1•lebed2045•26m ago•2 comments

Show HN: Know how your SaaS is doing in 30 seconds

https://anypanel.io
1•dasfelix•26m ago•0 comments

ClawdBot Ordered Me Lunch

https://nickalexander.org/drafts/auto-sandwich.html
3•nick007•27m ago•0 comments
Open in hackernews

Show HN: GPT-5.1 reasoning agents for hypertrophy periodization

https://arvo.guru/
1•danielepelleri•2mo ago
I’ve been lifting for years using complex methodologies (Mentzer HIT, Kuba Method, FST-7) and got frustrated that existing trackers are just glorified spreadsheets. They record what you did, but they don't tell you what to do based on your fatigue or biomechanics.

So I built Arvo (https://arvo.guru). It’s a "context-aware" AI coach, not just a logger.

The Problem: Standard apps use static linear progression (add 2.5kg every week). But if you are following a fatigue-based system (like Mike Israetel’s RP or Kuba), you need to autoregulate based on RPE/RIR and soreness. Most users fail to track this accurately in Excel.

The Solution & Tech Stack: Instead of if-then statements, Arvo uses a chain of specialized AI agents (powered by GPT-5 reasoning models) to act as a coach:

NLP Logger: You don't toggle complex UI buttons. You just write a note: "Shoulder hurt on bench press, RPE was 9". The NLP agent parses this, logs the RPE, flags the injury, and automatically swaps the next push exercise to a joint-friendly variation (e.g., Landmine Press) for the next session. Methodology Compliance: The logic engine respects strict rules. If you select "Mentzer HIT", it enforces low volume/absolute failure. If you select "Kuba", it manages volume accumulation. [1] * Contextual Timer: It doesn’t just count down 90s. If the protocol is FST-7, it enforces short rest (30-45s) for fascial stretch. Current Status: We are in Open Beta.[2] The backend is heavily reliant on the new reasoning capabilities of GPT-5 to handle the multi-variable logic of periodization without hallucinating absurd weights.

I’d love you to roast the landing page or try the beta. Specifically interested in feedback on the NLP parsing accuracy from any serious lifters here.

Link: https://arvo.guru

Thanks!