And here is the Fortran90 refactor of the claw-code Python repo:
AI
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Fortran90 Refactor of Claw-Code Python Repository
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And here is the Fortran90 refactor of the claw-code Python repo:
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Reinforcement Learning Limitations on Fine-tuned Model Prompts
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No, RL doesn't fix it. It merely makes e smaller for prompts present in the fine-tuning set.
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LLMs and Code Generation Systems: Clarifying Autoregressive Architecture
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1. I never said LLMs were not useful 2. Code generation systems are not strictly auto-regressive LLMs. They produce multiple outputs and pick the best ones. 3. Your argument is as if I said "perpetual motion is impossible" and you responded "meanwhile, it's been 300km since I
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Gemini Agent Mode: Powerful Alternative to OpenClaw for Automation
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Friendly reminder that Gemini has a built-in alternative to OpenClaw. Yes.
— Paul Couvert (@itsPaulAi) 31 mars 2026
Agent mode can literally perform any task:
– Leverage a web browser to use any site/tool
– Connected to Gmail, Calendar, Drive, Tasks, etc.
– Generate presentations with Slides
– Use YT videos as sources… pic.twitter.com/QllVIbPCaEFriendly reminder that Gemini has a built-in alternative to OpenClaw. Yes. Agent mode can literally perform any task: – Leverage a web browser to use any site/tool – Connected to Gmail, Calendar, Drive, Tasks, etc. – Generate presentations with Slides – Use YT videos as sources – Create tasks, archive emails, draft responses And much more like deep research, canvas and so on. You can also ask Gemini to run Agent every day, once a week, etc. for recurring tasks. Probably the feature that people sleep on the most.
→ View original post on X — @scobleizer, 2026-03-31 20:52 UTC
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Experts underestimate AI’s potential economic growth impact
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Fascinating work on how different groups of experts expect GDP to change in the coming years. Kudos to @connacher_ , @pawtrammell , @BasilHalperin of the Stanford @DigEconLab and the others who did this data collection and analysis. @PTetlock always does such amazing work. My take? Most of the experts surveyed (I was one of them) are not optimistic enough about growth. Forecasting Research Institute (@Research_FRI) We completed the most comprehensive study of how economists and AI experts think AI will affect the U.S. economy. They predict major AI progress—but no dramatic break from economic trends: GDP growth rates similar to today's and a moderate decline in labor force participation. However, when asked to consider what would happen in a world with extremely rapid progress in AI capabilities by 2030, they predict significant economic impacts by 2050: • Annualized GDP growth of 3.5% (compared to 2.4% in 2025) • A labor force participation rate of 55% (roughly 10 million fewer jobs) • 80% of wealth held by the top 10% (highest since 1939) 🧵 Here's what we found: — https://nitter.net/Research_FRI/status/2038965685431259520#m
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Impact of AI Transcription Tools on Labor Utilization
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A data point: prior to AI tools being good enough to offload some of the work, my podcast transcripts were ~$250 of transcriptionist labor plus about 5 hours of work from yours truly. The first pass is now AI. So what's the impact on labor utilization for transcripts?
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Impact of AI tools on transcription labor workflows
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As a single data point: prior to AI tools being good enough to offload some of the work, my podcast transcripts were ~$250 of transcriptionist-hours plus about 5 hours of work from yours truly. The first pass is now AI. So what's the impact on labor utilization for transcripts?
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Autoregressive Models Error Propagation in Discrete Sequences
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That's a ridiculous argument. – all auto-regressive models diverge, whether they are generative (in input space) or not. – for discrete symbol sequences, the probability of correctness decreases exponentially with the sequence length, assuming independence of errors. – THAT
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Perplexity Computer Access Offer for Community Members
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If you don’t have access to Perplexity Computer and want me to try something for you, let me know in the replies