@PawelHuryn AI hype update: a new benchmark shows [Opus x Fable] gap may be better explained by prompting not weights: https://t.co/0v5qNCnVrl

@nostalgiafkninc Update: a new benchmark shows [Opus x Fable] gap may be better explained by prompting not weights: https://t.co/0v5qNCnVrl

@Botchet Update: a new benchmark shows [Opus x Fable] gap may be better explained by prompting not weights: https://t.co/0v5qNCnVrl

@antonpme Update: a new benchmark shows [Opus x Fable] gap may be better explained by prompting not weights: https://t.co/0v5qNCnVrl

@FT Update: a new benchmark shows [Opus x Fable] gap may be better explained by prompting not weights: https://t.co/0v5qNCnVrl

@fladdict Update: a new benchmark shows [Opus x Fable] gap may be better explained by prompting not weights: https://t.co/0v5qNCnVrl

@usebland Update: a new benchmark shows [Opus x Fable] gap may be better explained by prompting not weights: https://t.co/0v5qNCnVrl

@business Update: a new benchmark shows [Opus x Fable] gap may be better explained by prompting not weights: https://t.co/0v5qNCnVrl

@matthewmillerai Update: a new benchmark shows [Opus x Fable] gap may be better explained by prompting not weights: https://t.co/0v5qNCnVrl

@shields_pikes Update: a new benchmark shows [Opus x Fable] gap may be better explained by prompting not weights: https://t.co/0v5qNCnVrl

@RokuMasuda Update: a new benchmark shows [Opus x Fable] gap may be better explained by prompting not weights: https://t.co/0v5qNCnVrl

@thaiscbranco_ @CRV @AmplifyPartners Update: a new benchmark shows [Opus x Fable] gap may be better explained by prompting not weights: https://t.co/0v5qNCnVrl

Introducing TurnTable A shelf for everything you've copied from your Mac & iPhone - Lives in your Mac's notch - Drag & drop into any app - Search through your entire copy history Live now :) https://t.co/gNsp7peseV

It's hard to pinpoint open-closed gap and so-on, but I trust the @arena team and just look where GLM 5.2 is on this. An MIT licensed, to be open weight model. At this point you could argue they have a better agent than Gemini does. That's a serious accomplishment. https://t.co/5d2yMUt09V

While everyone was asleep, New Zealand scored the best team goal of the tournament so far https://t.co/i5r9ZQHnvE

While everyone was asleep, New Zealand scored the best team goal of the tournament so far https://t.co/i5r9ZQHnvE

I’m excited to share another major milestone for Android XR! Today at #AWE, we unveiled more on XREAL AURA – lightweight spatial computing glasses with Qualcomm’s brand new high-performance @Snapdragon Reality Elite Platform. Featuring a massive 70° optical see through display and day-one access to hundreds of XR-ready apps and the expansive Google Play store. AURA gives you an infinite private immersive display for work and entertainment – think extending your laptop with infinite virtual displays, or playing games and watching movies on a massive virtual cinema screen. A huge thank you to @justonpayne and @HugoSwart_G and our partners @chimtx and @ziad_asghar for the great keynote, and to the entire team across @XREAL_Global , @Qualcomm and Google for their phenomenal collaboration in bringing this product to life. More details here: https://t.co/2LX4Ax5Ant Reserve your Aura at https://t.co/zDwTDSZTTy #XREALAura #AndroidXR #AI #Gemini #Qualcomm #AWE

Bridging the gap between model optimization and production deployment This tutorial walks through a typical end-to-end quantization workflow, from PyTorch model through how to export/compile an NVIDIA TensorRT engine for real-world inference speedup. Read the full post: https://t.co/IuaJlNuUEi

Good advice , Spike. https://t.co/r3riYlxUex

Good advice , Spike. https://t.co/r3riYlxUex

We've flipped the script - today we're launching GameLab! Instead of using AI to streamline game production, we're using games to help AI become Real-World Ready. Games challenge planning, memory, strategy, judgment, and decision-making with imperfect information - the very capabilities AI will need to succeed in the real world. 🎮 ♥️♠️♦️♣️🏆🔥 Check out https://t.co/ejf0bacZOH or follow us at @GameLabAI

Humanoid robots don't need to look human. Meet Eno, our first general-purpose robot. Not a machine pretending to be human, but intelligence given a body. At Genesis, we’re building a future where robots don’t feel cold or distant, but capable, calm, and ready to help. Available Q4 this year.

Exciting news: GLM-5.2 (Max) ranks #2 in Code Arena: Frontend, with +29pt over Claude Opus 4.7 (Thinking) and only behind Fable 5! GLM-5.2 is the best open model vs Kimi-K2.6 and Minimax-M3 by a large margin. - #2 React and #4 HTML sub-leaderboards - Ranks as the top model in nearly all sub categories: Brand & Marketing, Reference-Based Design, Data & Analytics, Consumer Product, Gaming, and Simulations. Congrats @Zai_org for the incredible milestone!

Damn! That looks nice. https://t.co/8693knlJGv

What a world. Asked my AI to read the list of 193 new @ycombinator startups and it picked its favorites. Among other things: https://t.co/kiuZ7QXLzb

@sd_marlow @boardyai It's 193 new startups. My AI picks its favorites: https://t.co/kiuZ7QXLzb

GLM 5.2 has just been released 🔥 Here it's already running with MLX on two Mac Studios (M3 Ultra). This is comparable to the latest closed models, with weights you can download, quantize, distill, fine-tune, run. https://t.co/KovpZRGdke

Our latest economic research introduces a framework for tracking Claude Code as it scales. Who is using Claude Code, and what are they using it for? How is the value of tasks changing? And how much does domain expertise shape whether a session succeeds? https://t.co/IjjwQvrESo

Using our privacy-preserving analysis tool, we analyzed 400K sessions from between October 2025 and April 2026. We classified each session by its main goal. More than half consist of writing or repairing code; nearly 1 in 5 are operating software. https://t.co/Xe2f1Lw6Uo

The average task in Claude Code has grown more valuable. We compared the type of work done in each session to what that same task would cost on a freelance marketplace. From October to April, the monetary value of the average session grew 27%. https://t.co/VcIPFTgN4Q

We compared Claude Code success rates between occupations. On our toughest measure of success—requiring verifiable evidence that a goal was completed, like committed code—every field was within 7 percentage points of software engineering. https://t.co/ShxZK4p0e2

Domain experts—as judged by the questions they ask and vocabulary they use about a subject—are more likely to see success. But the gap between intermediate and expert users is quite modest, suggesting that proficiency in a domain is sufficient to code successfully within it. https://t.co/tZZ7jVYpTB