#LLMReasoning

AI Daily Post

@aidailypost.com

1 month ago

RLVR claims it can boost sampling efficiency, but the real win is still the base LLM’s reasoning trajectory. Dive into the NeurIPS 2025 findings on teacher distillation vs. architectural tweaks. Curious? #RLVR #SamplingEfficiency #LLMReasoning

🔗 aidailypost.com/news/rlvr-li...

@arxivlens.bsky.social

3 months ago

Whatever Remains Must Be True: Filtering Drives Reasoning in LLMs, Shaping Diversity
Germán Kruszewski, Jos Rozen et al.
Paper
Details
#LLMReasoning #ReasoningFilters #AITransparency

AI Daily Post

@aidailypost.com

3 months ago

Google just leapt ahead with its new pre‑training tricks, while OpenAI rolls out the mysterious ‘Shallotpeat’ plan to boost reasoning and fine‑tuning. Who’s winning the LLM race? Dive in for the full scoop. #GooglePretraining #Shallotpeat #LLMReasoning

🔗 aidailypost.com/news/google-...

AI Daily Post

@aidailypost.com

4 months ago

Meta's new SPICE framework lets LLMs self‑play through math puzzles, beating baselines and sharpening general reasoning. The results on benchmark suites are impressive—check out how transformers level up! #MetaSPICE #LLMReasoning #MathBenchmarks

🔗 aidailypost.com/news/metas-s...

GetNews.me

@getnews-me.bsky.social

5 months ago

Code-Assisted Chain-of-Thought Framework Boosts LLM Reasoning

A new study presents Caco (Code‑Assisted Chain‑of‑Thought), a framework that auto‑creates 1.3 M verified reasoning examples; the paper was accepted to NeurIPS 2025 on Oct 5. Read more: getnews.me/code-assisted-chain-of-t... #caco #neurips2025 #llmreasoning

Mayank Malik

@mayankmalik.bsky.social

7 months ago

I’m a big fan of Denny Zhou. Where others use complex terms and jargon, he explains in a way that is accessible to many. youtu.be/ebnX5Ur1hBk
#LLMreasoning

@byteandpieces.bsky.social

8 months ago

Apple’s AI Bombshell--Are LLMs Really That Dumb?! Are Apple’s AI claims about large language models a bombshell—or just old news? In this episode, we dive deep into the viral Apple paper that claims LLMs (large language models) can’t really reason—they just remix memorized patterns. But is this a shocking revelation, or are we missing the bigger picture? Join us as we break down the science behind neural networks, debunk the myths, and reveal why serious AI researchers aren’t surprised by these findings. We’ll expose the real story: LLMs aren’t just standalone chatbots—they’re powerful when paired with external tools, and that’s where the true AI innovation happens. Discover how tool integration supercharges LLM accuracy, why token output limits matter, and how the media often gets it wrong about AI’s capabilities. If you’re curious about the future of artificial intelligence, machine learning, and the truth behind the headlines, this episode is your must-listen. Don’t fall for the hype—get the facts, get inspired, and join the conversation! Hit play, share with your fellow tech enthusiasts, and subscribe for more myth-busting AI insights.

📣 New Podcast! "Apple’s AI Bombshell--Are LLMs Really That Dumb?!" on @Spreaker #aicontroversy #aidebate #aiinnovation #aimyths #aipaper #airesearch #aitools #appleai #artificialintelligence #futureofai #generativeai #llmcapabilities #llmlimitations #llmreasoning #machinelearning #technews

Nebraska.Code

@nebraskacode.bsky.social

8 months ago

Charlie Koster presents 'The Future of LLM Reasoning: System 2 Thinking & Agentic Frameworks' July 25th at Nebraska.Code().

nebraskacode.amegala.com

#LLM #LLMReasoning #AgenticFrameworks #AI #System2 #Nebraska #TechConf #EmergingTech #artificialintelligence #DeveloperConference #SoftwareDev

WetHat💦

@wethat.fosstodon.org.ap.brid.gy

10 months ago

Simple Prompt Tweaks Derail LLM Reasoning - MarkTechPost

➡️ MIT researchers analyzed how input changes impact the response quality of 13 prominent LLMs.
➡️Prompt perturbations included irrelevant contexts, misleading (pathological) instructions, and a mix of additional yet unnecessary details […]

Nikolai Rozanov

@ai-nikolai.bsky.social

1 year ago

Pretty cool people are being added to the LLM Agent & LLM Reasoning group. Thanks @lisaalaz.bsky.social for suggesting @jhamrick.bsky.social @gabepsilon.bsky.social and others.

Feel free to mention yourself and others. :)

go.bsky.app/LUrLWXe

#LLMAgents #LLMReasoning

Nikolai Rozanov

@ai-nikolai.bsky.social

1 year ago

I thought to create a Starter Pack for people working on LLM Agents. Please feel free to self-refer as well.

go.bsky.app/LUrLWXe

#LLMAgents #LLMReasoning