Hacker News Digest
Tuesday, April 28, 2026
In This Issue
- Hacker News
- Microsoft to Stop Sharing Revenue with Main AI Partner OpenAI
- GitHub Copilot is moving to usage-based billing
- 4TB of voice samples just stolen from 40k AI contractors at Mercor
- Talkie: a 13B vintage language model from 1930
- China blocks Meta's acquisition of AI startup Manus
- Show HN: OSS Agent I built topped the TerminalBench on Gemini-3-flash-preview
- The next phase of the Microsoft OpenAI partnership – OpenAI
- Generative AI Vegetarianism
- Running Local LLMs Offline on a Ten-Hour Flight
Zipper Data Brief
April 28, 2026
Your daily digest of the best from Hacker News
Top 6 Trending
#1
899 points
· helsinkiandrew
· comments
Discussion Summary
Microsoft is loosening its exclusive partnership with OpenAI and stopping revenue payments, signaling that OpenAI has become powerful enough to operate independently and that the hyperscalers' leverage over AI labs is diminishing. Commenters debate whether this reflects Microsoft's weakness in the AI race or a strategic pivot toward bundling AI features into existing products like Office 365.
Microsoft is loosening its exclusive partnership with OpenAI and stopping revenue payments, signaling that OpenAI has become powerful enough to operate independently and that the hyperscalers' leverage over AI labs is diminishing. Commenters debate whether this reflects Microsoft's weakness in the AI race or a strategic pivot toward bundling AI features into existing products like Office 365.
#2
704 points
· frizlab
· comments
Discussion Summary
GitHub Copilot's shift to usage-based billing with steep multipliers (up to 27x for premium models) is ending the era of cheap unlimited AI coding assistance, with users frustrated that they're losing predictable flat-rate pricing and questioning whether the service remains competitive against direct API alternatives like OpenRouter or Claude.
GitHub Copilot's shift to usage-based billing with steep multipliers (up to 27x for premium models) is ending the era of cheap unlimited AI coding assistance, with users frustrated that they're losing predictable flat-rate pricing and questioning whether the service remains competitive against direct API alternatives like OpenRouter or Claude.
#3
551 points
· Oravys
· comments
Discussion Summary
A Mercor data breach exposed 4TB of voice samples paired with ID documents from 40k contractors, creating a "deepfake-ready kit" for identity theft and fraud—highlighting how companies collect biometric data they don't need, and that once leaked, voice data cannot be rotated like passwords, making it a permanent vulnerability.
A Mercor data breach exposed 4TB of voice samples paired with ID documents from 40k contractors, creating a "deepfake-ready kit" for identity theft and fraud—highlighting how companies collect biometric data they don't need, and that once leaked, voice data cannot be rotated like passwords, making it a permanent vulnerability.
#4
407 points
· jekude
· comments
Discussion Summary
Researchers created Talkie, a 13B language model trained exclusively on pre-1931 text that authentically captures early 20th-century perspectives, though it exhibits the expected limitations of knowledge cutoff, occasional confabulations, and outdated viewpoints. The project demonstrates both the feasibility of training specialized temporal models and raises interesting questions about using such models to explore historical reasoning and validate scientific discoveries from the training period.
Researchers created Talkie, a 13B language model trained exclusively on pre-1931 text that authentically captures early 20th-century perspectives, though it exhibits the expected limitations of knowledge cutoff, occasional confabulations, and outdated viewpoints. The project demonstrates both the feasibility of training specialized temporal models and raises interesting questions about using such models to explore historical reasoning and validate scientific discoveries from the training period.
#5
375 points
· yakkomajuri
· comments
Discussion Summary
China blocked Meta's acquisition of AI startup Manus by detaining its founders in Beijing, signaling enforcement of capital controls and national security rules against "Singapore-washing"—a strategy where Chinese companies relocate offshore to escape Beijing's scrutiny—while the debate centers on whether this is legitimate protectionism mirroring US export controls or authoritarian overreach against founders who had already moved their company.
China blocked Meta's acquisition of AI startup Manus by detaining its founders in Beijing, signaling enforcement of capital controls and national security rules against "Singapore-washing"—a strategy where Chinese companies relocate offshore to escape Beijing's scrutiny—while the debate centers on whether this is legitimate protectionism mirroring US export controls or authoritarian overreach against founders who had already moved their company.
#6
348 points
· GodelNumbering
· comments
Discussion Summary
The discussion centers on how Dirac, an open-source coding agent, achieved a 65% score on TerminalBench—significantly higher than Google's official 48%—primarily through superior harness design (hash-anchored edits, AST-based context management, operation batching) rather than model improvements, with commenters emphasizing that the engineering around the model matters far more than the model itself.
The discussion centers on how Dirac, an open-source coding agent, achieved a 65% score on TerminalBench—significantly higher than Google's official 48%—primarily through superior harness design (hash-anchored edits, AST-based context management, operation batching) rather than model improvements, with commenters emphasizing that the engineering around the model matters far more than the model itself.
AI / Machine Learning
70 points
· helsinkiandrew
· comments
Discussion Summary
The discussion was moved to a different HackerNews thread that was currently featured on the front page.
The discussion was moved to a different HackerNews thread that was currently featured on the front page.
37 points
· marvinborner
· comments
Discussion Summary
The discussion centers on criticism of the term "AI Vegetarianism" as poorly chosen terminology that unfairly denigrates actual vegetarians/vegans and misframes AI abstinence as an extreme position, with commenters suggesting better alternatives while debating whether avoiding AI is a principled stance or impractical career suicide.
The discussion centers on criticism of the term "AI Vegetarianism" as poorly chosen terminology that unfairly denigrates actual vegetarians/vegans and misframes AI abstinence as an extreme position, with commenters suggesting better alternatives while debating whether avoiding AI is a principled stance or impractical career suicide.
125 points
· darccio
· comments
Discussion Summary
The discussion questions the practicality of running local LLMs on flights, with commenters skeptical about real-world usefulness due to battery drain, heat generation, and space constraints—while suggesting remote access or simply relaxing would be better alternatives.
The discussion questions the practicality of running local LLMs on flights, with commenters skeptical about real-world usefulness due to battery drain, heat generation, and space constraints—while suggesting remote access or simply relaxing would be better alternatives.
16 points
· alpadurza
· comments
Discussion Summary
The discussion consists of a single, low-effort comment asking users to star a project on GitHub and return to upvote the HackerNews post—essentially a plea for engagement that adds no substantive discussion value.
The discussion consists of a single, low-effort comment asking users to star a project on GitHub and return to upvote the HackerNews post—essentially a plea for engagement that adds no substantive discussion value.
23 points
· vrganj
· comments
Discussion Summary
The EU is pushing Google to open up AI capabilities on Android, with proposed measures including custom voice assistants, app interoperability, and access to on-device AI models—though developers note Google still lacks public SDKs for its AI hardware despite promoting it.
The EU is pushing Google to open up AI capabilities on Android, with proposed measures including custom voice assistants, app interoperability, and access to on-device AI models—though developers note Google still lacks public SDKs for its AI hardware despite promoting it.
Startups / Business
142 points
· kelnos
· comments
Discussion Summary
The discussion reflects widespread skepticism about World ID, with commenters raising concerns about biometric data collection, privacy invasion, corporate surveillance, centralized control, and the irony of trusting companies known for data exploitation to solve problems they've helped create. Most view it as a dystopian system that prioritizes corporate profit over individual privacy and freedom.
The discussion reflects widespread skepticism about World ID, with commenters raising concerns about biometric data collection, privacy invasion, corporate surveillance, centralized control, and the irony of trusting companies known for data exploitation to solve problems they've helped create. Most view it as a dystopian system that prioritizes corporate profit over individual privacy and freedom.
53 points
· ksherlock
· comments
Discussion Summary
OpenAI faces monetization challenges despite massive capital spending, with AI improvements (thinking models, agents) burning tokens faster than usage growth can sustain, while the next frontier (agent swarms) remains too expensive and ineffective to drive meaningful revenue.
OpenAI faces monetization challenges despite massive capital spending, with AI improvements (thinking models, agents) burning tokens faster than usage growth can sustain, while the next frontier (agent swarms) remains too expensive and ineffective to drive meaningful revenue.
33 points
· ryan_j_naughton
· comments
Discussion Summary
Commenters are skeptical about David Silver's $1B fundraise, questioning whether self-training AI can actually work without external data and expressing concerns that this represents hype-driven capital rather than genuine technical progress.
Commenters are skeptical about David Silver's $1B fundraise, questioning whether self-training AI can actually work without external data and expressing concerns that this represents hype-driven capital rather than genuine technical progress.
3 points
· JumpCrisscross
· comments
Discussion Summary
A commenter questions whether OpenAI can still be called a "startup" given its size and established position. The discussion highlights skepticism about the terminology used to describe the company in the headline.
A commenter questions whether OpenAI can still be called a "startup" given its size and established position. The discussion highlights skepticism about the terminology used to describe the company in the headline.
More Stories (35)
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· hisamafahri
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164 points
· pwim
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162 points
· gurjeet
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145 points
· mikhael
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142 points
· geox
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94 points
· tonhe
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135 points
· zdw
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63 points
· t-3
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59 points
· trebeljahr
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114 points
· salkahfi
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245 points
· unethical_ban
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318 points
· SenHeng
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49 points
· Markoff
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44 points
· carabiner
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41 points
· mellosouls
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77 points
· luu
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29 points
· Philpax
· comments
59 points
· jonbaer
· comments
35 points
· stevekemp
· comments
42 points
· luispa
· comments
25 points
· hackandthink
· comments
29 points
· speckx
· comments
231 points
· varun_ch
· comments
125 points
· 18nleung
· comments
57 points
· breve
· comments
Scraping 241 UK council planning portals – 2.6M decisions so far
41 points
· mebkorea
· comments
24 points
· muzzy19
· comments
302 points
· haunter
· comments
How to Attend the Altman vs. Musk Trial
17 points
· major4x
· comments
231 points
· pvtmert
· comments
17 points
· vidzert
· comments
20 points
· testfoobar
· comments
19 points
· daveoshawrus
· comments
17 points
· duxup
· comments
Created by Zipper Data Co.
· 2026-04-28 12:01 UTC
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