Intelligence.Log
2026-04-26
Extracted: 55 items. Sources: Bluesky, X.
++ AI OVERVIEW ++
AI leaders are on the move globally, with Hugging Face's Nathan Lambert touching down in Beijing and Hangzhou to engage with China's AI community—a sign of deepening cross-border technical exchange. Meanwhile, researcher Naomi Saphra sparked curiosity with a cryptic mention of an unconfirmed event at the WHPCD (White House Presidential Council on Diversity), though she pivoted to praising palliative care specialists, leaving the tech world guessing. On GitHub, trending repos reflect a continued focus on open-weight model fine-tuning and agentic tooling, though no single breakout project dominated today's stars. The conversation remains split between geopolitical AI diplomacy and the quieter, essential infrastructure work keeping the ecosystem running.
◆ Signal
Co-Starred · Last 7 days
Repos independently starred by multiple AI leaders in the week ending 2026-04-26. Stronger signal = more overlap.
huggingface/ml-intern
×2 starrers▲ 7/10★ 688
🤗 ml-intern: an open-source ML engineer that reads papers, trains models, and ships ML models
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BSKY
BSKY
Found out something cool while trying to figure out what just happened at the WHPCD today. Did not figure out what happened at the WHPCD. But I’m always happy to celebrate palliative care specialists, the unsung heroes of the hardest medical cases.
❤️ 8 Likes|
BSKY
Scaling up massive LLMs continues to yield incredible results. But to truly unlock their full potential, the next frontier is test-time compute and dynamic orchestration.
❤️ 32 Likes|[LLM][Agent]
BSKY
Since so much of the AI job debate is among economists, they miss that as jobs are disrupted, professions will compete over new boundaries Abbot's System of Professions is a good read on what happens historically. Here is a short cartoon summary by a lizard painted in the style of Egon Schiele
❤️ 72 Likes|
BSKY
❤️ 375 Likes|[LLM][Evaluation]
BSKY
This is a useful image for thinking about the curve we are on and what likely comes next in an intuitively understandable way. (Roon is a long time member of the technical staff at OpenAI)
❤️ 123 Likes|[LLM]
BSKY
BSKY
If you missed Sara's poster at #ICLR2026, the good news is you can still read her paper!
❤️ 10 Likes|
X
My most amusing interaction was where the model (I think I was given some earlier version with a ...)
[LLM]
“DeepSeek Summary: Karpathy shares a humorous anecdote about an early model interaction.”
X
Three days ago I left autoresearch tuning nanochat for ~2 days on depth=12 model.
[Agent][Fine-tuning]
“DeepSeek Summary: Karpathy describes running an auto-research experiment tuning a small chat model.”
X
By training LLMs against automatically verifiable rewards across a number of environments (e.g. think math/code puzzles), the LLMs spontaneously develop strategies that look like "reasoning" to humans - they learn to break down problem solving into intermediate calculations and they learn a number of probl
[LLM][Evaluation]
“DeepSeek Summary: Karpathy explains how training with verifiable rewards leads to emergent reasoning-like strategies.”
X
We're missing (at least one) major paradigm for LLM learning. Not sure what to call it,
[LLM][Infra]
“DeepSeek Summary: Karpathy identifies a gap in current LLM learning paradigms.”
X
It's interesting how "better at code" has become the defining goal of almost every AI lab over the
[LLM][Evaluation]
“DeepSeek Summary: Simon Willison observes that improving code generation has become the primary objective for AI labs.”
X
im excited about agent harnesses because i think are the first stable agent abstractions we can build on top (which is why we're investing so much in deepagents) we always wanted to run llms in a loop and have them call tools (remember autoGPT? that's all that was) but the
[Agent][Tooling]
“DeepSeek Summary: Harrison Chase expresses excitement about agent harnesses as stable abstractions for building agent systems, and mentions investing in deepagents.”
X
TL;DR: More and more agents need a workspace: a computer where they can run code, install packages, and access files. Sandboxes provide this
[Infra][Deployment]
“DeepSeek Summary: Harrison Chase notes that agents require a workspace (sandbox) to execute code and access files.”
X
as always, it's an exciting time to be working at LangChain!
[Tooling]
“DeepSeek Summary: Harrison Chase retweets a positive sentiment about working at LangChain.”
X
Resource constraints are a beautiful thing. Survival instinct in a cut-throat AI competitive land
[Agent]
“DeepSeek Summary: Resource constraints foster survival instinct in competitive AI landscape.”
X
I've been a bit quiet on X recently. The past year has been a transformational experience.
[Agent]
“DeepSeek Summary: Jim Fan acknowledges a quiet period due to a transformational year.”
X
It gives me a lot of comfort knowing that we are the last generation without advanced robots everywhere.
[Agent]
“DeepSeek Summary: Reflects on the imminent ubiquity of advanced robots.”
X
Everyone's freaking out about vibe coding. In the holiday spirit, allow me to share my anxiety on the wild
[LLM]
“DeepSeek Summary: Comments on the hype around 'vibe coding' and shares personal anxiety.”
X
Here's a complete unedited video of asking Grok for its views on the Israel/Palestine situation. It first searches twitter for what Elon thinks.
[Safety][Evaluation]
“DeepSeek Summary: Jeremy Howard posted an unedited video of asking Grok about Israel/Palestine, noting it first searches Twitter for Elon Musk's views.”
X
Here's what I would prefer to see:
[LLM]
“DeepSeek Summary: Jeremy Howard expressed a preference for something, but the full content is not available in the snippet.”
X
reading 'AI News' (previously Smol Talk) is probably the highest-leverage 45 mins
[LLM][Evaluation]
“DeepSeek Summary: Soumith recommends the AI News newsletter as a high-leverage read.”
X
Sometimes we forget that NVIDIA wins because it's a software company.
[Infra][Deployment]
“DeepSeek Summary: He emphasizes NVIDIA's success is due to software, not just hardware.”
X
Open LLMs need to get organized and co-ordinated about sharing human feedback.
[LLM][Fine-tuning][Safety]
“DeepSeek Summary: He calls for better coordination among open LLM developers on human feedback sharing.”
X
I think it's clear that for many smaller companies that invested in deep learning, it turned out
[Deployment]
“DeepSeek Summary: Smaller companies that invested in deep learning faced challenges.”
X
Folks who work in AI or software engineering feel like the world is changing exponential fast.
[Evaluation]
“DeepSeek Summary: Perception of rapid exponential change in AI and software engineering.”
X
Current AI is a librarian of existing knowledge. Science requires an explorer of the unknown.
[Evaluation]
“DeepSeek Summary: Contrast between current AI's role as knowledge retriever and the need for exploratory science.”
X
Reaching AGI won't be beating a benchmark. It will be the end of the human-AI gap.
[Evaluation]
“DeepSeek Summary: AGI is not about benchmarks but closing the gap between human and AI capabilities.”
X
It seems to me that before "urgently figuring out how to control AI systems much smarter than us" we need
[Safety]
“DeepSeek Summary: LeCun questions the urgency of controlling superintelligent AI, implying current AI is far from that point.”
X
The emergence of superintelligence is not going to be an event. We don't have anything close to a
[Safety]
“DeepSeek Summary: LeCun argues superintelligence will not appear suddenly, and current AI is far from it.”
X
The AI industry is completely LLM-pilled. Everybody is working on the same thing.
[LLM][Multi-modal]
“DeepSeek Summary: LeCun criticizes the industry's obsession with LLMs, advocating for alternative approaches.”
X
I can now confess that I participated in the new #TronAres movie, playing myself. I had a great time working with everyone especially Greta
[Multi-modal]
“DeepSeek Summary: Fei-Fei Li reveals she appears as herself in the movie Tron: Ares.”
X
Great research on open-source by. : - $4.15B invested in open-source generates $8.8T of value for companies (aka $1 invested in open-source = $2,000 of value created) - Companies would need to spend 3.5 times more on software than they currently do
[LLM][Infra]
“DeepSeek Summary: Clem Delangue highlights the massive ROI of open-source: $1 invested yields $2,000 in value, and companies would spend 3.5x more without it.”
X
On the infra side, composer 2 uses CP. This is (i think?) the first real detail from using CP on MLA. My understanding is that each rank
[Infra][LLM]
“DeepSeek Summary: Sasha Rush discusses infrastructure details about composer 2 using CP (context parallelism) on MLA (multi-head latent attention).”
X
I have been compiling LLM/VLM training logbooks/chronicles. This is the one of the best sources to ...
[LLM]
“DeepSeek Summary: Stas Bekman has been compiling logbooks/chronicles for LLM/VLM training, sharing valuable resources.”
X
Thanks to an awesome contribution from @omarnomad The Machine Learning Engineering Open book now can ...
[Infra][Tooling]
“DeepSeek Summary: Acknowledges a contribution to the Machine Learning Engineering Open Book, enhancing its content.”
X
To remind - this is the memory saving you get when enabling TiledMLP :) Left: normal memory ...
[Infra][Fine-tuning]
“DeepSeek Summary: Demonstrates memory savings from TiledMLP, a technique for efficient ML training.”
X
Modern art. Artist: PyTorch memory profiler Model: Llama-8B The piece on the left is the ...
[Infra][LLM]
“DeepSeek Summary: Humorously compares PyTorch memory profiler output to modern art, highlighting memory usage patterns.”
X
Working at Hugging Face over the past 3.5+ years has allowed me to identify what technical areas truly interest me! In turn, that has allowed me to directly
[Fine-tuning][Deployment]
“DeepSeek Summary: Sayak reflects on his time at Hugging Face and how it helped him identify his technical interests.”
X
X
My presentation at the @PyTorch Conf EU is now live. It's an exciting piece given its emphasis on how we make Diffusers play quite well w/ `torch.compile`
[Deployment][Tooling]
“DeepSeek Summary: Announces a live presentation at PyTorch Conf EU about integrating Diffusers with torch.compile.”
X
I guarantee that any industry expert, with a little time and effort, can make a better (or at least more focused) skill than the default
[Fine-tuning]
“DeepSeek Summary: Industry experts can create better AI skills than defaults with effort.”
X
I pointed Claude Cowork at a set of 107 documents (PPTs, Word docs, Excel) that were initially
[Agent]
“DeepSeek Summary: Tested Claude Cowork on a large document set.”
X
We are starting to see some nuanced discussions of what it means to work with advanced AI In this
[LLM]
“DeepSeek Summary: Notes emerging nuanced discussions on working with advanced AI.”
X
If it helps, I teach at a business school & many of my smartest students are hired by funds because they can reliably turn their only-human
[Evaluation]
“DeepSeek Summary: Business school students are hired for their human judgment skills.”
X
Classic study gave 146 economist teams the same dataset & got wildly different answers New
[Evaluation]
“DeepSeek Summary: Highlights variability in human analysis of same data.”
X
For those playing along at home, here's a "AI is sentient!" argument bingo card. Title: AI sentience/consciousness argument bingo Squares: You can’t prove it’s not conscious It told me it is What would convince you then? We should consider it, just in case we might be harming the AI Top minds have said so My conversation with GPT-3/LaMDA was just so impressive AIs have different brain architecture
[Safety][LLM][Evaluation]
“DeepSeek Summary: Emily M. Bender created a bingo card mocking common arguments for AI sentience, highlighting the lack of rigorous evidence.”
X
what a perfect space for scientific discourse! I'll start off with a few images of myself
[LLM]
“DeepSeek Summary: Sarcastic comment about using images in a scientific discourse space.”
X
Life update: I'm starting as faculty at Boston University in 2026! BU ...
[LLM]
“DeepSeek Summary: Announcement of joining Boston University as faculty in 2026.”
X
I work on understanding and improving training for NLP models, with a focus on studying how structures and mechanistic behaviors emerge over the
[LLM][Evaluation]
“DeepSeek Summary: Describes her research focus on NLP model training and emergent behaviors.”
X
For the first time in almost a decade, I'm teaching a class on learning and control.
[Evaluation]
“DeepSeek Summary: Ben Recht is teaching a class on learning and control for the first time in nearly a decade.”
X
Revisiting Sutton's Bitter Lesson in the wake of GPT-5.
[LLM]
“DeepSeek Summary: Ben Recht revisits Sutton's Bitter Lesson in the context of GPT-5.”
X
Fully open machine learning requires not only GPU access but a community commitment to openness.
[Infra]
“DeepSeek Summary: Ben Recht argues that open ML requires more than just hardware access; it needs a culture of openness.”
-- END OF LOG --
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