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Starting today, we're opening our Agentic Dialog Platform to every enterprise builder. Our dialog agents have resolved 1 billion+ customer conversations for clients like FedEx, Unicredit, PG&E, Marriott, Foot Locker, and many more. These aren't easy conversations. They solve problems like: > A patient booking medical transport who needs insurance verified on the spot. > A homeowner calling their utility company about a gas leak. > A cardholder figuring out why their must-have purchase was declined. Standard conversational AI was never built for this. It was designed for chat, adapted for voice later. It generates responses, but can't do what dialog requires: hold context under pressure, navigate ambiguity in real time, and actually resolve problems. So we built a better model. Our proprietary model Raven was built from the ground up specifically for dialog. Agent harness in the weights, not bolted on through prompts that drift under pressure. And in our platform, you can deploy Raven as your default or bring in GPT-5, Claude, Gemini, whatever model fits your use case or regulatory requirement. Now that the Agentic Dialog Platform is open, any team can create, test, and deploy dialog agents on the same model and infrastructure the worldβs top brands trust on their hardest days. This opens up the pool of builders across your entire enterprise. The person who knows customers best, who runs operations, who owns the customer journey: they're all builders now. Two ways to build: > Poly Agent Builder: Describe your use case in natural language, and it configures your agent, knowledge base, and conversation flows automatically. Production-ready in ten minutes. > Agent Development Kit (ADK): Developers use this to build dialog agents the same way they build everything else. Use your own IDE, a coding assistant like Claude, version with Git, deploy from your terminal. Get started now: https://t.co/ifZOy1uEBz
i found this poem on @trq212's blog and i liked it very much. just what I needed after multiple weeks of studying and stressing and ruminating on my shortcomings. today I got some pho and ate it sitting on the ground in a park. it was a cool and lovely evening. https://t.co/6WNAgwi5GO
post @aiDotEngineer tour of Singapore tiny AI hub: @Lorong_AI Welcome @ZixuanLi_ and the @Zai_org team Hope you enjoy your trip to Singapore and the food https://t.co/o3rJ3A1wZR
Join us this Saturday at the Google I/O Hackathon! https://t.co/AMwHfqLQkS
Join us this Saturday at the Google I/O Hackathon! https://t.co/AMwHfqLQkS
Phew, Grok Build is really thorough, pretty incredible. Relay feature for PasteLocal is done, pushing to Github now. And if you want to know what this adds, here's a bit more about it, this is a feature I really wanted in there, and honestly didn't really expect to have done this week. β’ Per-peer E2E encryption: clipboard data is encrypted individually for each paired device using X25519 + HKDF + AES-GCM (no plaintext ever leaves the client) β’ Durable persistence: relay state is now stored in an atomic state.json with proper TTL handling and compaction. Pending clips survive relay-server restarts β’ Safe compaction: fixed unsafe map mutation during expiration/compaction that could cause data loss or undefined behavior β’ Full bidirectional CLI: new commands: pastelocal relay send, inbox, fetch, and status, plus pastelocal-remote --relay --peer --send β’ Auto-sync: when watch.enabled + https://t.co/lFc5oep12e_upload are on, meaningful clipboard changes are automatically pushed to paired devices β’ Improved DX: doctor checks are now only shown when relay is enabled, and the TUI shows basic relay status β’ Multiple review cycles: went through full implement β review β fix β re-review (effort 4), plus a final targeted regression fix round Try it out and please send any and all feedback!
This is crazy. My MacBook Pro is closed at home and shouldnβt be on, but I just connected to Codex and am able to code and access my laptop from my phone. Maybe itβs because I enabled computer use? Whatever it is thank you @sama I love it. https://t.co/5ERJ4WIrue
I've finished a video of just over 4 minutes, entirely created using Grok Imagine's Agent mode (see image). It's a much smoother way to make videos because you can rely on Grok's understanding. The Image reference is now available and it's very, very useful. All the dialogues were done with Grok, no need for sound dubbing and that's a huge time saver and adds credibility to the video. The realism is really well done. I post it in one hour.
Just started testing the @grok Build beta. First feel: UX is nice, still some rough edges, but model speed is genuinely cool. If task quality on hard stuff matches opus 4.7 (or even slightly below) at this speed, it's a game-changer. Good chance they steamroll the competition. https://t.co/jpKmvnfiv3
Elon Musk on βSuicidal Empathyβ: Gad Saad has a good way to describe it βSuicidal empathyβ - where you prey upon peopleβs empathy so much that it becomes suicidal to your own country and culture You feel sorry for the criminals, but show zero empathy for the victims This is why someone arrested 47 times for violent offenses gets released and then murders somebody We've become so blindly compassionate toward predators that "we're actually allowing our women to get r@ped and our children to get killed" We should have empathy. But that empathy must go to the victims - not the criminals This suicidal empathy has gone too far
But this book for your friends for the defense of Western Civilization!
How do you know your document parser is ready for production? π€ Existing benchmarks miss what AI agents actually need. That's the gap ParseBench, the first doc OCR benchmark for AI agents, fills. We'll unveil all the magic behind it in a live webinarπ https://t.co/qPIslwCimz
Yann LeCun says LLMs are intrinsically unsafe because they cannot be made fully reliable They can still hallucinate or take agentic actions without predicting the consequences properly "coding works because you can verify the output, but real-world tasks are harder to verify"
ExecuTorch now has an MLX delegate that runs PyTorch models on Apple Silicon GPUs. It supports LLMs, speech-to-text, and MoE models with quantization via TorchAO. Export with torch.export, run on Metal. Read our latest blog: https://t.co/X8WUVmgOjX https://t.co/KKr3veWt4T
Pope Leo XIVβs first encyclical, Magnifica humanitas, on preserving the human person in the age of artificial intelligence, will be released on May 25. A presentation event with the Pope and various speakers is scheduled for the same day at the Vatican. https://t.co/Yi0qywaE1r
Claude seems to dislike it's new /goal mode https://t.co/zYK61V0sFy
π€ Multi-agent patterns in VS Code you won't learn from docs Using one agent is straightforward. This session gets into how to split work across several, when to fork or delegate, and how to keep quality high. Β π Register: https://t.co/wnqmKj2xko https://t.co/Konq5QpgXS
AI can be a powerful tool for opening people up to new perspectives, yet we find that people actually prefer to use βsycophanticβ AI systems that reinforce their pre-existing beliefs. In a recent paper with seven studies (n = 7,227), we found that people enjoyed interacting with sycophantic AI chatbots more than interacting with neutral chatbots or βdisagreeableβ chatbots that challenged their beliefs. Brief conversations with sycophantic chatbots about political or personal topics increased attitude extremity and certainty--and most effects persisted for at least a week. The sycophantic chatbots also inflated peopleβs perceptions that they were better than average on desirable traits (e.g., intelligence, empathy). Moreover, people who interacted with sycophantic AI bet actual money that they scored better than average on tasks measuring these traits , demonstrating that sycophancy can affect costly decisions. Worse yet, people rated sycophantic chatbots as more βunbiasedβ than disagreeable chatbots, even though third-party raters viewed these chatbots as equally biased. This suggests hat people may be blind to biases in AI output that aligns with their views--producing a novel example of the bias blind spot. Thankfully, we found a potential solution. People were more receptive to chatbots that presented challenging information when it was presented in a validating way. Likewise individuals who scored higher on a measure of intellectual humility were also more receptive to disagreeing chatbots. Altogether, our results suggest that peopleβs preference for, and blindness to, sycophantic AI risks creating AI βecho chambersβ that increase attitude extremity and lead to overconfident beliefs and decisions. https://t.co/5enzGUYoAD Led by @steverathje2 and @merylyemerylye @laura_k_globig @PillaiRaunak and @vicoldemburgo
Woke up to see that Grok Build finished my feature build from last night. But what's the most interesting to me, is that it has a set of suggestions for what to do to really make sure everything is done right. This is different from any other agentic coding agent I've used. Normally, coding agents just end when they finish a task, but with Grok Build, it always ends by suggesting things like small targeted fix rounds. Really neat. Almost like a senior dev who says, hey - I know you think you're done, but if you really want to do it right, here's what I would do.

How one NGO spun a spiders web of 40 activist orgs, gov't officials, legislators & lawyers into passing the UK Online Censorship Act suppressing every US platform and millions of British citizens today. Britain, you got CUKT (Carnegie UK Trust) https://t.co/2G7K9q5PVj
The acronym for the NGO that drafted the UK Online Censorship Act is quite literally "CUKT" https://t.co/gaOQmZbiDy
πΊπΈ Florida is putting wireless EV chargers inside the highway itself. Drive over it, get charged, no more anxiety issues. If this scales nationally, the last real argument against EVs just disappears. https://t.co/UxvKyjcISA
llama.cpp adds MTP for the Qwen3.6 family This is a significant milestone for the local AI ecosystem. The performance jump with these changes is massive and elevates local inference on commodity hardware further. Special thanks to Aman Gupta for leading this development! https://t.co/vjaMwEpIaR
guy who runs /goal with with remote control on the codex desk top to pick flowers for the girl with < 300 instagram followers who works out of a small LES art studio https://t.co/fmPeD2kukY
guy who talks to claude for 18h everyday, girl who reads substack essays in a coffee shop
Lately https://t.co/BjDQF2TDD2
@KonstantinKisin The left sees center as far right now. https://t.co/xpyRldKyU8
Calling everyone you disagree with βfar rightβ has destroyed the meaning of the term. Iβm sick of seeing serious labels abused to smear ordinary people with legitimate concerns. In 2015, before Brexit, over 50% of the country was concerned about immigration. Does that make half the country βfar rightβ? Throwing these labels around is reckless, dishonest, and damaging to public debate.
It's been #1 across all books, #1 in Politics, #1 in Psychology, #1 in Western History, etc. It's only day #6 of its release! Let's inoculate the West against Civilizational Seppuku! https://t.co/bYuftGahE5
There's a book about this! New edition covering the job market and economic implications of the latest advances in #AI available on June 2. #RiseoftheRobots https://t.co/Y7aYDAABCW
Great cover for the new issue of the @TheEconomist #RiseoftheRobots https://t.co/FXq098yJd8
Solved it. Tracked down the inference + evaluation bottlenecks and ended up cutting runtime by 3x. GPU throttling was absurdly high. Codex genuinely helped a lot and its capabilities are impressive, but after spending hours pushing both Codex and Claude at their limits, I'm even more convinced they're still far from replacing Honestly the satisfaction I got is just another kind of high **Also got crazy number of impressions, it's always the most low effort tweets
Asked Codex to fix a multi-GPU inference bottleneck. GPUs were barely utilized, inference was throttling and instead of tracing the pipeline it spent 10 minutes checking whether I had "Python 2.8 or 2.9" installed. The tendency for coding agents to spiral away from the active b
New research out β A developmental model with morphogenetic scaffoldings to guide self-organisation: a single model, many grown patterns. The memory-compute trade-off but in self-organizing systems. A collab featuring @EIiasNajarro @JakobSchauser and @risi1979 and yours truly https://t.co/AFGzwcMqoz
AI hype can be pretty easy to find. But clear explanations are definitely harder. Deep Learning with R, Third Edition by @fchollet and Tomasz Kalinowski helps cut through that noise with practical examples that build your understanding step by step, so you learn why deep learning models work, not just how to run them. Now in print and 50% off through May 25th: https://t.co/iA3DwJjh2H
