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408 results for “deepthinking”

  1. @emollick.bsky.social

    Paper shows very small #LLMs can match or beat larger ones through 'deep thinking'-evaluating different solution paths. Their 7B model beats o1-preview on complex math by exploring 64 different solutions & picking the best one.
    Test-time compute paradigm seems really fruitful.

    Source : x.com/iruletheworldmo/status/1

    #o1 #o3 #rstarmath #llm #openai #msft

  2. @emollick.bsky.social

    Paper shows very small can match or beat larger ones through 'deep thinking'-evaluating different solution paths. Their 7B model beats o1-preview on complex math by exploring 64 different solutions & picking the best one.
    Test-time compute paradigm seems really fruitful.

    Source : x.com/iruletheworldmo/status/1

  3. @emollick.bsky.social

    Paper shows very small #LLMs can match or beat larger ones through 'deep thinking'-evaluating different solution paths. Their 7B model beats o1-preview on complex math by exploring 64 different solutions & picking the best one.
    Test-time compute paradigm seems really fruitful.

    Source : x.com/iruletheworldmo/status/1

    #o1 #o3 #rstarmath #llm #openai #msft

  4. @emollick.bsky.social

    Paper shows very small #LLMs can match or beat larger ones through 'deep thinking'-evaluating different solution paths. Their 7B model beats o1-preview on complex math by exploring 64 different solutions & picking the best one.
    Test-time compute paradigm seems really fruitful.

    Source : x.com/iruletheworldmo/status/1

    #o1 #o3 #rstarmath #llm #openai #msft

  5. @emollick.bsky.social

    Paper shows very small #LLMs can match or beat larger ones through 'deep thinking'-evaluating different solution paths. Their 7B model beats o1-preview on complex math by exploring 64 different solutions & picking the best one.
    Test-time compute paradigm seems really fruitful.

    Source : x.com/iruletheworldmo/status/1

    #o1 #o3 #rstarmath #llm #openai #msft

  6. So much this!

    “Completely full calendars prevent deep thinking and conceptual work. A trivial statement, but a problem in many organisations nonetheless. Often best done in pairs. Eg Analyst + Domain Expert”

    #dddeurope #dddeu

  7. These might look #lazy, but are actually reasonable strategies:

    - resist pointless #tasks to create time for deep thinking,
    - set #boundaries at work to avoid #burnout,
    - say “no” to tasks, resisting that we should always strive to #produce more,
    - automate #repetitive tasks to free up time for #creative tasks.

    theconversation.com/why-being-

  8. Microsoft's rStar-Math aims to enhance small language models' math reasoning by:
    ➡️ using System 2-style deep thinking (careful analysis and step-by-step reasoning).
    ➡️ Monte Carlo Tree Search and self-evolution to generate high-quality training data.

    It appears to achieve 90% accuracy on the MATH dataset and gets close to larger models, making advanced AI more accessible.

    marktechpost.com/2025/01/10/mi

  9. Microsoft's rStar-Math aims to enhance small language models' math reasoning by:
    ➡️ using System 2-style deep thinking (careful analysis and step-by-step reasoning).
    ➡️ Monte Carlo Tree Search and self-evolution to generate high-quality training data.

    It appears to achieve 90% accuracy on the MATH dataset and gets close to larger models, making advanced AI more accessible.

    marktechpost.com/2025/01/10/mi

    #AI #MachineLearning #Math #DeepLearning #ArtificialIntelligence #DataScience #rStarMath

  10. Microsoft's rStar-Math aims to enhance small language models' math reasoning by:
    ➡️ using System 2-style deep thinking (careful analysis and step-by-step reasoning).
    ➡️ Monte Carlo Tree Search and self-evolution to generate high-quality training data.

    It appears to achieve 90% accuracy on the MATH dataset and gets close to larger models, making advanced AI more accessible.

    marktechpost.com/2025/01/10/mi

    #AI #MachineLearning #Math #DeepLearning #ArtificialIntelligence #DataScience #rStarMath

  11. Microsoft's rStar-Math aims to enhance small language models' math reasoning by:
    ➡️ using System 2-style deep thinking (careful analysis and step-by-step reasoning).
    ➡️ Monte Carlo Tree Search and self-evolution to generate high-quality training data.

    It appears to achieve 90% accuracy on the MATH dataset and gets close to larger models, making advanced AI more accessible.

    marktechpost.com/2025/01/10/mi

    #AI #MachineLearning #Math #DeepLearning #ArtificialIntelligence #DataScience #rStarMath

  12. Microsoft's rStar-Math aims to enhance small language models' math reasoning by:
    ➡️ using System 2-style deep thinking (careful analysis and step-by-step reasoning).
    ➡️ Monte Carlo Tree Search and self-evolution to generate high-quality training data.

    It appears to achieve 90% accuracy on the MATH dataset and gets close to larger models, making advanced AI more accessible.

    marktechpost.com/2025/01/10/mi

    #AI #MachineLearning #Math #DeepLearning #ArtificialIntelligence #DataScience #rStarMath

  13. #NeuroMyths #Myths - I just saw a quote on a book review saying that writing by hand is important for deep thinking. Ugh

    "However, it is less effective for deep thinking and idea generation than writing by hand. This is because writing by hand engages different areas of the brain and allows for deeper processing and understanding of the information."

    In doing so they repeat a common neuromyth, that handwriting is better than your digital notetaking. (1/2)

  14. Key points:

    • AI isn't just changing what we do, it's rewiring our brains as we use it, just like literacy did
    • We're trading deep thinking for quick answers without realising the cost to memory and judgment
    • The people who thrive won't be those who use AI most, but those who can still think without it

    #AI isn't coming for your job. It's coming for your mind. bailliegifford.com/en/uk/indiv

    #ai
  15. ...<braddelong.substack.com/p/deal>
    2026-02-16 Mo
    ##dealing-personally-with-the-cognitive-distributed-disruption-of-attention-crisis
    ##public-reason
    #internet
    #information-overload
    #attention-crisis
    #deep-thinking
    #intellectual-triage
    #attention-info-bio-tech
    #decision-architecture
    #engagement-ladder 2/END

  16. OpenAI’s new $8/mo "ChatGPT Go" tier is here 🔥

    What does it offer?
    ✅ Unlimited GPT-5.2 Instant
    ✅ Expanded memory & context
    ⚠️ Includes Ads (yes, in a paid plan)
    ❌ No deep "Thinking" models

    It’s a massive pivot to undercut budget AI tools and capture the mass market. Would you pay $8 to remove usage limits with ads?

    I wrote a breakdown of what this means for pricing, access, and trust. Read the full analysis.

    #OpenAI #ChatGPT #ChatGPTGo #ChatGPTAds #AIStrategy

    dataenthusiast.blog/openai-spl

  17. Your brain is designed to need downtime. Boredom activates neural circuits otherwise dormant, fostering creativity and deep thinking.
    Read more in The Ode Map: odemap.substack.com/p/boredom-

    #amWriting #writingAboutWriting #poetry

  18. Just three papers in this morning session on the political economy of AI at #IAMCR2025, but a great deal of deep thinking on artificial intelligence, digital labour, and capitalism. Liveblog here:

    snurb.info/taxonomy/term/230

  19. I'm really enjoying the interviews I've heard so far on the Sunday Show, the podcast of Tech Policy Press;

    techpolicy.press/

    It's refreshing to be reminded that there is a wide range of people doing deep thinking about the information environment. Researching it, sharing their insights and findings, and talking about radical solutions.

    #TechPolicyPress

  20. I'm really enjoying the interviews I've heard so far on the Sunday Show, the podcast of Tech Policy Press;

    techpolicy.press/

    It's refreshing to be reminded that there is a wide range of people doing deep thinking about the information environment. Researching it, sharing their insights and findings, and talking about radical solutions.

    #TechPolicyPress

  21. I'm really enjoying the interviews I've heard so far on the Sunday Show, the podcast of Tech Policy Press;

    techpolicy.press/

    It's refreshing to be reminded that there is a wide range of people doing deep thinking about the information environment. Researching it, sharing their insights and findings, and talking about radical solutions.

    #TechPolicyPress