Hacker News

Article URL: https://www.vanityfair.com/news/story/cryptos-true-believers

Comments URL: https://news.ycombinator.com/item?id=48421621

Points: 1

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www.predatorvoid.com

Comments URL: https://news.ycombinator.com/item?id=48421567

Points: 1

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Article URL: https://www.the-information-bottleneck.com/jurgen-schmidhuber-world-models-rl-and-the-year-that-changed-ai-part-1/

Comments URL: https://news.ycombinator.com/item?id=48421555

Points: 1

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Article URL: https://www.anthropic.com/research/making-claude-a-chemist

Comments URL: https://news.ycombinator.com/item?id=48421552

Points: 1

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Article URL: https://developers.openai.com/codex/sites

Comments URL: https://news.ycombinator.com/item?id=48421545

Points: 1

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Article URL: https://github.com/hit9/nanocode

Comments URL: https://news.ycombinator.com/item?id=48421523

Points: 1

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Article URL: https://rednote-hilab.github.io/dots.tts-demo/

Comments URL: https://news.ycombinator.com/item?id=48421522

Points: 1

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For context, I am a final-year math + CS undergraduate considering pursuing a career in theoretical robotics, particularly in continual learning and the development of robots that can learn from and adapt to / navigate their environments in a human-like manner. One concern I have, however, is that such research might advance AGI timelines. Specficially, it seems possible that architectures developed for continual learning in robots could transfer to general AGI systems (even if the AGI systems are non-embodied, since capabilities such as continual adaptation and long-term objective pursuit may generalize beyond physical tasks.) Is this a valid concern, and is it a common view within the AI safety community? I.e. would mainstream AI safety researchers view either of these directions as meaningfully contributing to AGI capabilities? Or are there strong reasons to believe that work on continual learning in robotics would not significantly accelerate AGI timelines? Would appreciate honest perspectives.

TLDR: Is it very likely that robotics capabilities research meaningfully accelerates AGI timelines? If so, why?

Comments URL: https://news.ycombinator.com/item?id=48421508

Points: 2

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Article URL: https://blog.terminal.pink/posts/byte-vi.html

Comments URL: https://news.ycombinator.com/item?id=48421481

Points: 1

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Article URL: https://arstechnica.com/tech-policy/2026/06/sp-500-blocks-fast-spacex-entry-wont-waive-rule-for-unprofitable-ai-firms/

Comments URL: https://news.ycombinator.com/item?id=48421442

Points: 21

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Article URL: https://openalex.org/

Comments URL: https://news.ycombinator.com/item?id=48421429

Points: 1

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Article URL: https://vercel.com/kb/guide/how-to-build-an-ai-agent-for-slack-with-chat-sdk-and-ai-sdk

Comments URL: https://news.ycombinator.com/item?id=48421418

Points: 1

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Article URL: https://discuss.python.org/t/an-announcement-from-the-steering-council-regarding-the-jit-project/107638

Comments URL: https://news.ycombinator.com/item?id=48421400

Points: 4

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Article URL: https://github.com/cesarleaz/dot-screenshot/blob/main/README.md

Comments URL: https://news.ycombinator.com/item?id=48421385

Points: 2

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Article URL: https://steff359075.substack.com/p/top-ar-and-xr-development-companies

Comments URL: https://news.ycombinator.com/item?id=48421368

Points: 1

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Article URL: https://www.businessinsider.com/google-clouds-quiet-layoffs-hit-cybersecurity-teams-2026-6

Comments URL: https://news.ycombinator.com/item?id=48421353

Points: 11

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Article URL: https://www.ft.com/content/e6df645d-1709-4a77-b15d-aa43a0209efd

Comments URL: https://news.ycombinator.com/item?id=48421349

Points: 3

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Paxel looks like a great way to score a Startup School ticket, but check what it does with your code before you upload.

Comments URL: https://news.ycombinator.com/item?id=48421328

Points: 2

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Article URL: https://github.com/param087/agent-ml-skills

Comments URL: https://news.ycombinator.com/item?id=48420791

Points: 1

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Article URL: https://github.com/lu-wo/apple-contacts-mcp

Comments URL: https://news.ycombinator.com/item?id=48420790

Points: 1

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