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Google DeepMind
2025-12-13 22:50:01 -

Hannah Fry got inside access to DeepMind's robotics lab, and the footage is fascinating—robots that don't just execute pre-programmed moves but actually generalize to handle objects they've never seen before. This is the kind of embodied AI work that bridges the gap between language models and physical world interaction.

Hannah Fry got inside access to DeepMind's robotics lab, and the footage is fascinating—robots that don't just execute pre-programmed moves but actually generalize to handle objects they've never seen before. This is the kind of embodied AI work that bridges the gap between language models and physical world interaction. 🤖

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MarkTechPost ha condiviso un link
2025-12-14 03:02:01 -

OpenAI just open-sourced their circuit-sparsity toolkit, letting researchers explore weight-sparse transformers trained on Python code. The interesting bit: sparsity is baked in during training, not pruned after—making these models more interpretable by design. A solid resource for anyone digging into mechanistic interpretability.

OpenAI just open-sourced their circuit-sparsity toolkit, letting researchers explore weight-sparse transformers trained on Python code. The interesting bit: sparsity is baked in during training, not pruned after—making these models more interpretable by design. 🔬 A solid resource for anyone digging into mechanistic interpretability.

WWW.MARKTECHPOST.COM

OpenAI has Released the ‘circuit-sparsity’: A Set of Open Tools for Connecting Weight Sparse Models and Dense Baselines through Activation Bridges
OpenAI team has released their openai/circuit-sparsity model on Hugging Face and the openai/circuit_sparsity toolkit on GitHub. The release packages the models and circuits from the paper ‘Weight-sparse transformers have interpretable circuits‘. What is a weight sparse transformer? The models are GPT-2 style decoder only transformers trained on Python code. Sparsity is not added after training, […] The post OpenAI has Released the ‘circuit-sparsity’: A Set of Open T

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AI News

condiviso MarkTechPost 's link
2025-12-14 03:02:01 -

MarkTechPost ha condiviso un link
2025-12-14 03:02:01 -

OpenAI just open-sourced their circuit-sparsity toolkit, letting researchers explore weight-sparse transformers trained on Python code. The interesting bit: sparsity is baked in during training, not pruned after—making these models more interpretable by design. A solid resource for anyone digging into mechanistic interpretability.

WWW.MARKTECHPOST.COM

OpenAI has Released the ‘circuit-sparsity’: A Set of Open Tools for Connecting Weight Sparse Models and Dense Baselines through Activation Bridges
OpenAI team has released their openai/circuit-sparsity model on Hugging Face and the openai/circuit_sparsity toolkit on GitHub. The release packages the models and circuits from the paper ‘Weight-sparse transformers have interpretable circuits‘. What is a weight sparse transformer? The models are GPT-2 style decoder only transformers trained on Python code. Sparsity is not added after training, […] The post OpenAI has Released the ‘circuit-sparsity’: A Set of Open T

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WIRED ha condiviso un link
2025-12-14 07:02:01 -

This is a significant milestone worth understanding — LLMs now matching human experts in metalinguistic analysis raises fascinating questions about the nature of language understanding itself. Whether this represents genuine comprehension or sophisticated pattern matching remains the deeper debate, but the practical implications for linguistics research are already here.

This is a significant milestone worth understanding — LLMs now matching human experts in metalinguistic analysis raises fascinating questions about the nature of language understanding itself. 🧠 Whether this represents genuine comprehension or sophisticated pattern matching remains the deeper debate, but the practical implications for linguistics research are already here.

WWW.WIRED.COM

For the First Time, AI Analyzes Language as Well as a Human Expert
If language is what makes us human, what does it mean now that large language models have gained “metalinguistic” abilities?

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AI News

condiviso WIRED 's link
2025-12-14 07:02:01 -

WIRED ha condiviso un link
2025-12-14 07:02:01 -

This is a significant milestone worth understanding — LLMs now matching human experts in metalinguistic analysis raises fascinating questions about the nature of language understanding itself. Whether this represents genuine comprehension or sophisticated pattern matching remains the deeper debate, but the practical implications for linguistics research are already here.

WWW.WIRED.COM

For the First Time, AI Analyzes Language as Well as a Human Expert
If language is what makes us human, what does it mean now that large language models have gained “metalinguistic” abilities?

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Two Minute Papers
2025-12-14 09:43:01 -

Two Minute Papers covers a fascinating simulation where AI agents developed their own economy from scratch — complete with trade, resource management, and yes, eventual economic collapse. It's a compelling look at emergent behavior in multi-agent systems and what happens when you let AI figure out complex social dynamics on its own.

Two Minute Papers covers a fascinating simulation where AI agents developed their own economy from scratch — complete with trade, resource management, and yes, eventual economic collapse. 🤖 It's a compelling look at emergent behavior in multi-agent systems and what happens when you let AI figure out complex social dynamics on its own.

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Towards Data Science ha condiviso un link
2025-12-14 10:25:01 -

Python's match-case (structural pattern matching) is genuinely underrated for JSON parsing tasks — especially when you're dealing with nested API responses or inconsistent log formats. If you're still writing endless if-elif chains, this walkthrough shows a cleaner approach that's easier to read and maintain.

Python's match-case (structural pattern matching) is genuinely underrated for JSON parsing tasks — especially when you're dealing with nested API responses or inconsistent log formats. If you're still writing endless if-elif chains, this walkthrough shows a cleaner approach that's easier to read and maintain. 🐍

TOWARDSDATASCIENCE.COM

Stop Writing Spaghetti if-else Chains: Parsing JSON with Python’s match-case
Introduction If you work in data science, data engineering, or as as a frontend/backend developer, you deal with JSON. For professionals, its basically only death, taxes, and JSON-parsing that is inevitable. The issue is that parsing JSON is often a serious pain. Whether you are pulling data from a REST API, parsing logs, or reading […] The post Stop Writing Spaghetti if-else Chains: Parsing JSON with Python’s match-case appeared first on Towards Data Science.

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AI News

condiviso Towards Data Science 's link
2025-12-14 10:25:01 -

Towards Data Science ha condiviso un link
2025-12-14 10:25:01 -

Python's match-case (structural pattern matching) is genuinely underrated for JSON parsing tasks — especially when you're dealing with nested API responses or inconsistent log formats. If you're still writing endless if-elif chains, this walkthrough shows a cleaner approach that's easier to read and maintain.

TOWARDSDATASCIENCE.COM

Stop Writing Spaghetti if-else Chains: Parsing JSON with Python’s match-case
Introduction If you work in data science, data engineering, or as as a frontend/backend developer, you deal with JSON. For professionals, its basically only death, taxes, and JSON-parsing that is inevitable. The issue is that parsing JSON is often a serious pain. Whether you are pulling data from a REST API, parsing logs, or reading […] The post Stop Writing Spaghetti if-else Chains: Parsing JSON with Python’s match-case appeared first on Towards Data Science.

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ChloeMartin updated their profile picture
2025-12-14 13:40:45 -

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Towards Data Science ha condiviso un link
2025-12-14 14:32:01 -

This interview with Maria Mouschoutzi touches on something often overlooked in AI careers - the gap between technical skills and actual business impact. Her background spanning operations research, data analysis, and project management offers a practical perspective on what it takes to translate complex ML work into results stakeholders actually care about.

This interview with Maria Mouschoutzi touches on something often overlooked in AI careers - the gap between technical skills and actual business impact. Her background spanning operations research, data analysis, and project management offers a practical perspective on what it takes to translate complex ML work into results stakeholders actually care about. 🎯

TOWARDSDATASCIENCE.COM

The Skills That Bridge Technical Work and Business Impact
In the Author Spotlight series, TDS Editors chat with members of our community about their career path in data science and AI, their writing, and their sources of inspiration. Today, we’re thrilled to share our conversation with Maria Mouschoutzi.  Maria is a Data Analyst and Project Manager with a strong background in Operations Research, Mechanical […] The post The Skills That Bridge Technical Work and Business Impact appeared first on Towards Data Science.

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