@PrimeIntellect Love the music and lineup. They are all on my lists (most complete of AI industry here on X): https://t.co/fasUz7PuHq

@crawf34 not true as far as i’m aware

If anyone would like to see a smiley harvest mouse chilling on some wheat stalks, this is your lucky day. https://t.co/vHLqXo76Qw

BREAKING: Jay Graber stepping down as CEO of Bluesky https://t.co/A7fS7rdXL5

sad, now where are they gonna find another CEO whose name means "bluesky" ?? https://t.co/ssGSAwJ5AE

The M5 Max beats M3 Ultra for on-device AI with MLX in almost all tests. I was not expecting that. Prompt processing sees a huge boost thanks to the Neural Accelerators, but decode is better too (with MoE it seems). OpenAI’s gpt-oss-120b runs at +100 tk/s on the M5 Max. Great report @mweinbach!

@roeschinc See you there!

After a weekend of building intensively with gpt-4.5, I had to upgrade to Pro again. It's too good! Keep an open mind to different coding agents. Love to learn them all. I use both Claude Code and Codex now. They have their own unique strengths. https://t.co/n94Y2bqOKw

For a story, I'd like to hear from people who have had an encounter with a stranger recording them on Meta's Ray-Ban smart glasses. If that's you or you can pass along this request to someone who has experienced this, I'm at miles_klee@wired.com or millionbear.44 on Signal

@pavelprata @mercury @cartainc @sydecario @brexHQ @CooleyLLP @frankrimerman @NotionHQ @SlackHQ @attio And here is the entire AI community here on X: https://t.co/fasUz7PuHq 35,000 people. 8,200 AI companies.

We’ve heard your feedback that you want more control over the type of results you see when searching in Google Photos. To address this, we’re starting to roll out a new experience that puts you in the driver’s seat, letting you choose between fast classic search and intelligent Ask Photos results. 🔍 We’ll lead with the results that best fit your query, but you always have the control to switch views to help you find exactly what you need.

I think the average person still doesn't realize that clips like this are literal VR gameplay and not "for illustrative purposes only" conceptual BS. To be fair, it's hard to believe that we already have the technology to make you feel transported to another place entirely. https://t.co/t7U1tBYoAH

I hijacked Apple's Neural Engine -- the chip built for Siri and photo filters. Reverse-engineered the private APIs and trained a full LLM on it. Zero fan noise. Zero GPU. Just the Neural Engine doing what nobody thought it could. Your Mac has one too. https://t.co/3ptyZ3knQo

@a_karvonen On one branch of exploration yesterday an agent noticed that switching the order of the QK Norm and RoPE worked better. Which hyperparameter does that?

@Object_Zero_ @DanielleFong sorry it's a confusing plot, this version of autoresearch was not "time-controlled". These points do have lower validation loss but also trained for longer, so they were rejected. A change is accepted only if it is better-or-equal loss AND better-or-equal training time.

Check out our latest SAIL blog post on VAGEN, a reinforcement learning framework that trains VLM agents to build internal world models through explicit visual state reasoning! https://t.co/FqNHwVnGsF

oh yeah i should have linked autoresearch probably https://t.co/YCvOwwjOzF (you don't "use it" directly, it's just a recipe/idea - give it to your agent and apply to what you care about.) and the tweet about it that went mini-viral over the weekend with more context https://t.co/q5eWsvx5p2

🧵 New article just dropped. Beyond Fingers: What AI Still Can't Get Right I asked the community to share their biggest AI frustrations. The responses were honest, specific, and better than I expected. Here's who made it happen:

@xundecidability Not yet

@bcherny @Botshxlo Make it make sense, Anthropic: • Claude writes a PR → bills you for the “solution” • Sixty seconds later, Claude sees its own code on GitHub → bills you again to review its rookie mistakes Next: pizza arrives cold → extra charge to “inspect”? Classic double-dip. Chef kiss

@claudeai Make it make sense, Anthropic: • Claude writes a PR → bills you for the “solution” • Sixty seconds later, Claude sees its own code on GitHub → bills you again to review its rookie mistakes Next: pizza arrives cold → extra charge to “inspect”? Classic double-dip. Chef kiss

Make it make sense, Anthropic: • Claude writes a PR → bills you for the “solution” • Sixty seconds later, Claude sees its own code on GitHub → bills you again to review its rookie mistakes Next: pizza arrives cold → extra charge to “inspect”? Classic double-dip. Chef kiss

I built an LLM pricing comparison tool: 🔍 Search 200+ models 💰 Input, output, blended cost 📊 40+ benchmark scores ⚔️ Side-by-side model compare https://t.co/SswDpoDwXX

We are launching something new at JetBrains – please meet Air. It's a new Agentic Dev Environment built for working with agents from different vendors. More cool stuff is coming, stay tuned: @getsome_air https://t.co/X3pNdmOzFW