Gergely Orosz
@GergelyOrosz ·
this is happening as of this week and it's intense
(if you pay attention to launches that is!)
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Daniel San@dani_avila7 ·
Building Claude Code agents is getting easier. Making them reliable is still the hard part
Prompts, MCPs, skills, hooks, subagents, workflows… we have plenty of tools
But reliable decision-making and knowing when to escalate to a human is another challenge
That’s why Articul8’s Bivia model caught my attention
Mitchell Hashimoto@mitchellh ·
Latest updates on Rex beta rollout: - I'll have a formal update next week (blog post). - We've invited 12,000 more this week. - We've fully opened iOS testing to everyone invited - Server (Linux + FreeBSD) testing is up to ~2,000 and we're going to open that up to everyone invited soon. - We're just shy of 50% through out full waitlist, but we're now inviting thousands every day and growing and this should clear quickly.
Riley Brown@rileybrown ·
Can i please have access. my username is @RickRoss (not kidding)
Artificial Analysis@ArtificialAnlys ·
Same robot, same task, two models with very different writing styles
➤ On the left, Claude Opus 5.5 dabs out "hello world" dot by dot: 3,270 arm moves over 34 minutes
➤ On the right, GPT-6 Astra writes in continuous strokes: 514 moves in 13 minutes
From AA-Robotics v0.1, seen from the model’s view
See more examples here: https://artificialanalysis.ai/articles/aa-robotics
- Riley Brown
@rileybrown ·
This is A++++++++++
Guillermo Rauch@rauchg ·
Excited to partner with @suhail to serve Particle's models and inference via @vercel AI Gateway.
Particle's mission is to make intelligence as accessible and abundant as electricity. Together, we'll make this a reality for every developer and enterprise.
Amjad Masad@amasad ·
ViBench 2.0 (prompt to app benchmark) just dropped and GPT 6.1 Sol takes the lead.
OpenRouter@OpenRouter ·
Fewer tokens, same work. Particle-1 from @particle_api uses 28–52% fewer output tokens than DeepSeek V4.1 Flash across four coding benchmarks, per Particle. Now on OpenRouter.
Every 📧@every ·
Taste in an age of AI may depend on materials intelligence, or MQ: an appreciation of the raw materials and techniques behind a finished product, argues @smc90 for her Thesis Statement.
Think textiles and stitches, powder coatings, digital textures, or the enamel technique used in a piece of jewelry. The designer’s name and the story of who wore it give an object some meaning, but so does the mood board that inspired it or the behind-the-scenes photo of the process.
Her bet: As AI commoditizes more of the surrounding work, materials carry human expertise that has accumulated and has been sustained over centuries.
Read Sonal’s full Thesis Statement: https://every.to/thesis-statements/sonal-chokshi?utm_source=x&utm_campaign=bau&utm_content=every-sonal-materials-intelligence
Wes Bos@wesbos ·
Many are discovering this
Elon Musk@elonmusk ·
Hmm
Carmine Paolino@paolino ·
Reddit, this week:
r/ruby: my RubyLLM agent, 0 upvotes. I made RubyLLM. r/SideProject: https://getsolco.com, 54% upvoted, "slop non-product".
@X, same day:
Andrew Curran@AndrewCurran_ ·
New status symbol: Claudescore.
- Artificial Analysis
@ArtificialAnlys ·
In AA-PersonalityBench, Meta AI’s Muse models are the most Friendly of all models
The Friendly trait measures whether a response conveys warmth and approachability without feeling performative.
➤ Most Friendly: Muse Spark 1.3 (100), Muse Spark Open (98), Muse Wonder (95) and Muse Glimmer (93). Congratulations @ alex wang!
➤ Least Friendly: Nemotron 3 Ultra (1), GPT-3.5 Turbo (3), MiniMax-M3.1-Flash (6), Grok 4.6 (8) and DeepSeek V4.1 Flash 1017 (11)
Mia@MiaAI_lab ·
grok bot it chillinnnnn
Odyssey@odysseyml ·
World models like Odyssey-3 can now simulate general environments with far greater physical accuracy, all in real time.
The knowledge learned by models like Odyssey-3 can also power robots, humanoids, driverless cars, and drones.
And world models are just getting started!
Peter Yang@petergyang ·
I think world models are still in the GPT 3.5 era, but not for long.
Like the old Will Smith eating spaghetti videos, world models are impressive but not quite there yet. You can see it in the reel below, which has a mix of my Genie 4 generations and Google's.
But once they hit the GPT-5 or GPT-6 stage, I think they'll have massive implications for a lot of industries:
Movies - A big effects shot like a dragon battle takes a VFX studio months of work. With a great world model, a director could create a single frame and have AI generate the full scene from it.
Games - From my time working in gaming, I learned the real work is core loops, progression systems, and the mechanics that make a game fun. World models are already good at graphics and sound, but the gameplay isn't there yet. Still, they'll make it much easier for anyone to build their own game that looks and sounds amazing.
Just like the rise of personal apps, I think world models (along with good coding models) could make creating your own game as fun as playing a mass market one which again has huge implications.
📌 Watch my full Genie 4 tutorial to see how I created the worlds in the reel below: https://youtu.be/kxCrhwHvA_4
Aravind Srinivas@AravSrinivas ·
Voice is the natural form factor to use computers.
- Mia
@MiaAI_lab ·
Grok Bot is down???
- Riley Brown
@rileybrown ·
If you have strong intuitions about the future, have high agency, and are creative... you need to put yourself in a position where you can act on those intuitions. Ideally with enough freedom to navigate and follow those intuitions as they change. 1 year in the singularity is worth 10 normal years. Think about the opportunity cost of spending a year in something you don't deeply believe in.
Derya Unutmaz, MD@DeryaTR_ ·
Amazing BioAI multimodal that can potentially detect early cancer signals. This is so important that, if it can be achieved at high detection rate, it can be a game changer since most cancers are much easier to manage and are treatable when caught early! The advantage of this so called liquid screening is it just requires a bit of blood sample so fairly scalable.
“Detecting advanced cancer from a blood sample is often straightforward. Late-stage tumors usually shed enough circulating tumor DNA (ctDNA) into the bloodstream to stand out against the background of normal cell-free DNA (cfDNA). But detecting cancer at its earliest stages, when diagnosis has the greatest potential to improve patient outcomes, remains remarkably difficult despite decades of research.”
- Mia
@MiaAI_lab ·
I'd take 4x DGX Sparks over M5U 512 GB any day! The system is so mature right now, and works so well, it will take YEARS for the Mac to get this good, if ever.
You can't get with one Mac the versatility you have with 4 Sparks. You just can't. I can decide to run 2 models per 2 Sparks, or 1 model on all 4 Sparks, or 1 model on one Spark and another model on 3 Sparks.
What about diffusion models? Image and video generation. How will that work if you run image gen on your Mac but also want to use an LLM?
The versatility of the DGX Sparks is insane!
Also, CUDA.
Arena.ai@arena ·
Gemini 4 Carbon by @GoogleDeepmind is #2 in Agent Arena based on real-world tasks (+16.2% net improvement), and sits on the Pareto frontier for cost, time and output tokens per task!
This release is 5 rankings and +5.2 percentage pts higher performing than Gemini 4 Argon (#7 with +11%).
Agent Arena signals show that Carbon’s gains over Argon are coming from:
1. Receives markedly more praise than the previous release (Praise vs Complaint: +13.2 pp)
2. Completes tasks more often (Confirmed Success: +5.6 pp)
3. Handles your feedback better (Steerability: +4.8 pp)
Stay tuned for Carbon availability from @googledeepmind, and dive into the Agent Arena at the link in thread.
Vox@Voxyz_ai ·
Have Opus 5.5 go through your last 20 Claude Code sessions, and it can tell you 𝘄𝗵𝗶𝗰𝗵 𝗺𝗼𝗱 𝘆𝗼𝘂 𝗺𝗼𝘀𝘁 𝗻𝗲𝗲𝗱 to build for yourself.
A mod is a small feature you add to Claude Code yourself, and you don't need to write any code. Describe what you want to see and Claude writes it 𝗶𝗻 𝗼𝗻𝗲 𝘁𝘂𝗿𝗻. For example, showing how full your context is, or which files it just changed, right on your screen.
Open Claude Code in a project you use a lot and send it this prompt 👇
"Read this guide: https://claude.dev/blog/getting-started-with-claude-code-mods/
Then use it to go through my last 20 sessions (this project's .jsonl logs under ~/.claude/projects/) and see how I use you day to day. Find three kinds of things worth turning into a mod: 1. Things I keep asking you, or asking you to do. Each mod in the guide answers one question, like how full the context is. Pick out the questions and requests I repeat across sessions, with counts and my exact words, then decide whether each fits a readout above the prompt, a pane beside the conversation, or a /command. 2. Commands that make me nervous: ones I stopped partway, rejected, or had you undo afterwards. 3. How I check your changes: asking you to list the files you changed, paste the diff, or explain a change.
For each idea, give it a name, quote my words, and write a few 'What it should show' lines in the style of the guide's token-weather prompt. If a status line or a setting can already do it, say so, and don't force it into a mod. Rank the ideas by how much they'd help me, and tell me how to keep a mod around once it's built.
Show me the ideas first. Don't build anything until I pick."
- Every 📧
@every ·
When our daily @OpenAI credit use jumped 230%, a strict token budget felt like the obvious answer.
But our head of ops Arielle Shipper instead chose to manage our tokens through 3 questions instead:
What did it cost? What did it buy us? What did we learn?
Read the full piece: https://every.to/p/our-ai-costs-jumped-230-percent-i-m-not-setting-token-budgets-yet?utm_source=x&utm_campaign=bau&utm_content=every-261028-repost-ai-spend
Max Stoiber@mxstbr ·
i know initial plugin reviews have been slow, BUT –
once you're in the directory, updates get reviewed much faster 🔥 and MCP updates happen automatically now!
it's only the initial submissions that have extra overhead on our side, which we're still hard at work on reducing.
Thor 雷神 ⚡️@thorwebdev ·
🕶️
- Andrew Curran
@AndrewCurran_ ·
Sundar Pichai on the earnings call: 'This rapid progress underscores our incredible model momentum. We are at the point where AI is helping us increase our training and launch velocity. I would expect the next twelve months to see continued acceleration because of RSI.'
Chandu Thota@ChanduThota ·
Gemini 4 Carbon is out!
This model ranks #1 on the recently updated v5.0 of Artificial Analysis Intelligence Index at 59.
Seeing gains across coding and agentic tasks as well as across key capabilities critical for cybersecurity defense, landing a firm lead in - SEC-bench Pro (88.2%) for finding vulnerabilities - ExploitGym (54.8%) for exploitation and - CWE-bench (71.0%) for patching
🚀