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CERN Uses Tiny AI Models Burned into Silicon for Real-Time LHC Data Filtering
ai-modelscerndata-filteringsilicon-chips
News

CERN uses tiny AI models burned into silicon for real-time LHC data filtering

CERN is utilizing tiny AI models burned into silicon chips for real-time filtering of data generated by the Large Hadron Collider. The LHC produces approximately 40,000 exabytes of raw data annually.

theopenreader.org

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

6 min

1d ago

A leak reveals that Anthropic is testing a more capable AI model "Claude Mythos"

Anthropic is testing a new AI model named 'Mythos,' which is claimed to be the most powerful model the company has developed to date. Early access customers are currently trialing this model, which represents a significant advancement in AI performance.

fortune.com

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

7 min

2d ago

GitHub - itigges22/ATLAS: Adaptive Test-time Learning and Autonomous SpecializationTool

$500 GPU outperforms Claude Sonnet on coding benchmarks

A.T.L.A.S achieves a 74.6% pass rate on LiveCodeBench with a frozen 14B model using a single consumer GPU, significantly improving from the previous 36-41% in V2. The system utilizes constraint-driven generation and self-verified iterative refinement, allowing a smaller model to compete with larger models at a reduced cost without fine-tuning.

github.com

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

8 min

2d ago

Updates to GitHub Copilot interaction data usage policy

GitHub will use interaction data from Copilot Free, Pro, and Pro+ users to train and improve AI models starting April 24, unless users opt out. Copilot Business and Copilot Enterprise users are not impacted by this policy change.

github.blog

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

3 min

4d ago

Cursor Composer 2 is just Kimi K2.5 with RL

Fynn discovered a model ID, "kimi-k2p5-rl-0317-s515-fast," while experimenting with the OpenAI base URL in Cursor. Composer 2 is identified as Kimi K2.5 with reinforcement learning (RL) capabilities.

twitter.com

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

1 min

3/20/2026

NanoGPT Slowrun: 10x Data Efficiency with Infinite Compute

Posted by sdpmas. Score: 89 points. Comments: 14.

qlabs.sh

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

1 min

3/19/2026

Composer 2

Composer 2 is now available in Cursor, offering frontier-level coding intelligence at a cost of $0.50 per million input tokens and $2.50 per million output tokens. The model shows significant improvements across various benchmarks, including Terminal-Bench 2.01 and SWE-bench Multilingual.

cursor.com

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

2 min

3/19/2026

Why AI systems don't learn and what to do about it: Lessons on autonomous learning from cognitive scienceResearch

Why AI systems don't learn – On autonomous learning from cognitive science

Current AI models struggle with autonomous learning due to inherent limitations. A new learning architecture is proposed, inspired by human and animal cognition, which incorporates learning from observation and active behavior.

arxiv.org

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

1 min

3/17/2026

GPT‑5.4 Mini and Nano

GPT-5.4 mini and nano are newly released small models that enhance performance for high-volume workloads. GPT-5.4 mini offers over 2x faster processing and improved capabilities in coding, reasoning, multimodal understanding, and tool use, nearing the performance of the larger GPT-5.4 model in various evaluations.

openai.com

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

5 min

3/17/2026

Can I run AI locally?

Detect your hardware and find out which AI models you can run locally. GPU, CPU, and RAM analysis in your browser.

canirun.ai

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

1 min

3/13/2026

CERN uses tiny AI models burned into silicon for real-time LHC data filtering

CERN is utilizing tiny AI models burned into silicon chips for real-time filtering of data generated by the Large Hadron Collider. The LHC produces approximately 40,000 exabytes of raw data annually.

theopenreader.org

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

6 min

1d ago

$500 GPU outperforms Claude Sonnet on coding benchmarks

A.T.L.A.S achieves a 74.6% pass rate on LiveCodeBench with a frozen 14B model using a single consumer GPU, significantly improving from the previous 36-41% in V2. The system utilizes constraint-driven generation and self-verified iterative refinement, allowing a smaller model to compete with larger models at a reduced cost without fine-tuning.

github.com

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

8 min

2d ago

Cursor Composer 2 is just Kimi K2.5 with RL

Fynn discovered a model ID, "kimi-k2p5-rl-0317-s515-fast," while experimenting with the OpenAI base URL in Cursor. Composer 2 is identified as Kimi K2.5 with reinforcement learning (RL) capabilities.

twitter.com

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

1 min

3/20/2026

Composer 2

Composer 2 is now available in Cursor, offering frontier-level coding intelligence at a cost of $0.50 per million input tokens and $2.50 per million output tokens. The model shows significant improvements across various benchmarks, including Terminal-Bench 2.01 and SWE-bench Multilingual.

cursor.com

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

2 min

3/19/2026

GPT‑5.4 Mini and Nano

GPT-5.4 mini and nano are newly released small models that enhance performance for high-volume workloads. GPT-5.4 mini offers over 2x faster processing and improved capabilities in coding, reasoning, multimodal understanding, and tool use, nearing the performance of the larger GPT-5.4 model in various evaluations.

openai.com

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

5 min

3/17/2026

A leak reveals that Anthropic is testing a more capable AI model "Claude Mythos"

Anthropic is testing a new AI model named 'Mythos,' which is claimed to be the most powerful model the company has developed to date. Early access customers are currently trialing this model, which represents a significant advancement in AI performance.

fortune.com

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

7 min

2d ago

Updates to GitHub Copilot interaction data usage policy

GitHub will use interaction data from Copilot Free, Pro, and Pro+ users to train and improve AI models starting April 24, unless users opt out. Copilot Business and Copilot Enterprise users are not impacted by this policy change.

github.blog

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

3 min

4d ago

NanoGPT Slowrun: 10x Data Efficiency with Infinite Compute

Posted by sdpmas. Score: 89 points. Comments: 14.

qlabs.sh

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

1 min

3/19/2026

Why AI systems don't learn – On autonomous learning from cognitive science

Current AI models struggle with autonomous learning due to inherent limitations. A new learning architecture is proposed, inspired by human and animal cognition, which incorporates learning from observation and active behavior.

arxiv.org

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

1 min

3/17/2026

Can I run AI locally?

Detect your hardware and find out which AI models you can run locally. GPU, CPU, and RAM analysis in your browser.

canirun.ai

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

1 min

3/13/2026

CERN uses tiny AI models burned into silicon for real-time LHC data filtering

CERN is utilizing tiny AI models burned into silicon chips for real-time filtering of data generated by the Large Hadron Collider. The LHC produces approximately 40,000 exabytes of raw data annually.

theopenreader.org

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

6 min

1d ago

Updates to GitHub Copilot interaction data usage policy

GitHub will use interaction data from Copilot Free, Pro, and Pro+ users to train and improve AI models starting April 24, unless users opt out. Copilot Business and Copilot Enterprise users are not impacted by this policy change.

github.blog

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

3 min

4d ago

Composer 2

Composer 2 is now available in Cursor, offering frontier-level coding intelligence at a cost of $0.50 per million input tokens and $2.50 per million output tokens. The model shows significant improvements across various benchmarks, including Terminal-Bench 2.01 and SWE-bench Multilingual.

cursor.com

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

2 min

3/19/2026

Can I run AI locally?

Detect your hardware and find out which AI models you can run locally. GPU, CPU, and RAM analysis in your browser.

canirun.ai

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

1 min

3/13/2026

A leak reveals that Anthropic is testing a more capable AI model "Claude Mythos"

Anthropic is testing a new AI model named 'Mythos,' which is claimed to be the most powerful model the company has developed to date. Early access customers are currently trialing this model, which represents a significant advancement in AI performance.

fortune.com

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

7 min

2d ago

Cursor Composer 2 is just Kimi K2.5 with RL

Fynn discovered a model ID, "kimi-k2p5-rl-0317-s515-fast," while experimenting with the OpenAI base URL in Cursor. Composer 2 is identified as Kimi K2.5 with reinforcement learning (RL) capabilities.

twitter.com

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

1 min

3/20/2026

Why AI systems don't learn – On autonomous learning from cognitive science

Current AI models struggle with autonomous learning due to inherent limitations. A new learning architecture is proposed, inspired by human and animal cognition, which incorporates learning from observation and active behavior.

arxiv.org

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

1 min

3/17/2026

$500 GPU outperforms Claude Sonnet on coding benchmarks

A.T.L.A.S achieves a 74.6% pass rate on LiveCodeBench with a frozen 14B model using a single consumer GPU, significantly improving from the previous 36-41% in V2. The system utilizes constraint-driven generation and self-verified iterative refinement, allowing a smaller model to compete with larger models at a reduced cost without fine-tuning.

github.com

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

8 min

2d ago

NanoGPT Slowrun: 10x Data Efficiency with Infinite Compute

Posted by sdpmas. Score: 89 points. Comments: 14.

qlabs.sh

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

1 min

3/19/2026

GPT‑5.4 Mini and Nano

GPT-5.4 mini and nano are newly released small models that enhance performance for high-volume workloads. GPT-5.4 mini offers over 2x faster processing and improved capabilities in coding, reasoning, multimodal understanding, and tool use, nearing the performance of the larger GPT-5.4 model in various evaluations.

openai.com

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

5 min

3/17/2026