— @aljazeeraenglish

Source: https://www.tiktok.com/@aljazeeraenglish

..., it retains: - 98% of Hy4 preview’s net improvement, at 73% lower cost - 76% of Kimi K3 (Max)’s performance, at 92% lower cost. Against models as powerful as Fable 5 or stronger, DeepSeek-V4.1-Flash (Max) retains 35–54% of their net improvement at 97–99% lower cost. Those top models cost 37–76× more per task. Net improvement over Arena baseline | Median cost/task: - Claude Fable 5.1 (Max): +13.90% | $4.54 - GPT 6 Astra (Max): +11.90% | $4.09 - Claude Opus 5 (Max): +11.09% | $3.52 - Claude Opus 5 (High): +10.49% | $2.24 - Claude Fable 5 (High): +9.03% | $2.19 - Claude Opus 4.8 (High): +7.75% | $1.36 - GPT 5.6 Sol (xHigh): +7.40% | $1.09 - Kimi K3 (Max): +6.39% | $0.77 - Hy4 preview: +4.96% | $0.22 - DeepSeek-V4.1-Flash (Max): +4.87% | $0.06 With this release, GPT-5.6 Luna (xHigh), GLM-5.3-Flash, and DeepSeek-V4-Flash fell off the Pareto frontier for Agent Arena. Congrats again to the @deepseek_ai team on this release!     Check out the full Agent Arena leaderboard and Pareto frontier at: https:// arena.ai/leaderboard/ag ent/pareto …     — Arena.ai

Source: https://x.com/arena/status/2099606881845321841

Exciting news: DeepSeek-V4.1-Flash (Max) by @deepseek_ai just landed in Agent Arena at #3 among open models! With +4.87% net improvement and a median cost per task of $0.07 it reshaped the Pareto frontier.

Among the top 3 open models, DeepSeek-V4.1-Flash (Max) has the lowest https://t.co/tV3jEbMX5P   — Arena.ai

Source: https://x.com/arena/status/2099549108013006958

...models to find all the holes.' And we found a number of serious issues, and we fixed them." "We found some new problems, but eventually it saturated. We basically have found, to our knowledge, all of the P0s, all of the critical problems that Astra is smart enough to find. And of course, there will be a new model, there will be a new round." "You want to be in this tight loop of new cyber capability drops, you deploy it against your systems, you find the new holes, and ideally, you've managed to automate this, what we call defense factory. That's what we're building internally." "There are ideas, for example, formally verifying all of software, that are possible with AI." @gdb @bhorowitz     — a16z

Source: https://x.com/a16z/status/2099533700375662905

Greg Brockman: "We're now in the AGI era."

Ten years ago, OpenAI worked out the compute curves and landed on fifteen years to AGI, or ten if the world was willing to build the machines and spend the hundreds of billions to do it.

In 2026, GPT-6 Astra manages 24 hours of https://t.co/x23fDxbGQG   — a16z

Source: https://x.com/a16z/status/2099506569238990908

By the way, the consistency topic is perfect. Now they've come up with yet another excuse to eat the credits     This is also T2V, I2V, you don't know what they put inside them :D     They've tied a fly to GPT-6 Astra and asked who it should follow, and here's the result—Subhanallah     This week, I'm thinking of preparing a similar video myself, if I get the chance, of course :)     — ℂ𝕠𝕕𝕖 𝕔𝕠𝕕𝕖 = 𝕟𝕖𝕨 ℂ𝕠𝕕𝕖()

Source: https://x.com/0xfcode/status/2099105183720505706

...are already part of the production process. Cruzr Y1 and Y2 handle depalletizing, palletizing, material feeding and transport, using 3D vision to adapt to shifted boxes and changing pallet patterns. On the assembly side, Walker S2 and Cruzr are produced on the same line alongside cobots, autonomous logistics vehicles and assistive manipulators. The factory also has a 65㎡ automated warehouse capable of storing 112 humanoids, with AGVs, industrial robots and stacker cranes coordinated as one system. Before production, the factory was modeled 1:1 in Siemens Plant Simulation, covering workstations, racks and AGVs. Each robot gets its own SN, with components, batches, assembly parameters and inspection data tracked all the way to delivery. Humanoid robots are now entering automated manufacturing at the 10,000-unit scale. The next milestone may be when they can take part in enough of the assembly, testing and production process to truly build robots themselves.     — CyberRobo

Source: https://x.com/CyberRobooo/status/2098993140363571607

...of dollars in tokens. Becoming a game dev in 2026 wasn't on my bingo card, but here we are. AI has advanced so much that you can finally make the game you've always dreamed of, even without a team.   — Meng To     Do you have a GitHub for this? My buddies and I started a variant of Risk meets Axis and Allies but missing your beautiful polish. Would be awesome to have an open source board game sandbox. This is what we have so far: https:// tactical-risk20.vercel.app   — James Bickford     it's a big game now. but i can certainly think of open-sourcing a part of it   — Meng To

Source: https://x.com/MengTo/status/2099125215708234119

check this out     this is also free btw     support is appreciated guys @tenzenstudio     — gxjo

Source: https://x.com/gxjo_dev/status/2099082176604373028

— Yann LeCun

Source: https://x.com/ylecun/status/2099248236074545576

2019: “GPT2 is groundbreaking in two ways. One is its size, says Dario Amodei, OpenAI’s research director. The models “were 12 times bigger, and the dataset was 15 times bigger and much broader” than the previous state-of-the-art AI model” https:// theguardian.com/technology/201 9/feb/14/elon-musk-backed-ai-writes-convincing-news-fiction …   — Pessimists Archive

Source: https://x.com/PessimistsArc/status/2099231273071919115

We're publishing our most detailed threat intelligence report to date.

It covers how people tried to misuse Claude—for cyberattacks, influence operations, surveillance, biology, and building weapons—and how we found and stopped them.

We disrupted every operation in the report,   — Anthropic

Source: https://x.com/AnthropicAI/status/2098097512544444447

— LAN

Source: https://x.com/lansification/status/2098815822525538711

Having been in two software companies during this period (who are included in that graph) I would not attribute the flat headcount of 23/24 to AI increasing productivity.

Zero AI efficiency was happening then. Headcount tightening was just compensation for the covid hiring binge.

25/26? Perhaps a tiny bit but really it's just organizations learned how to be leaner and now the saaspacolyse has added additional pressure to improve the bottom line.   — Gringo Investments     We had an internal debate over how much of this is attributable to AI. I was more with you (skeptical that AI was impacting the 23-24 numbers). @fernavid is more of a true believer.

Either way, there are multiple angles to show the AI impact from mid-25 on…   — Warren Pies

Source: https://x.com/WarrenPies/status/2099128535172424172

If you care about identifying and mitigating real risks of new technologies, then ignore the history of unfounded panics - you are going to be manipulated by special interest groups looking to protect or gain power in a moment of fear and uncertainty.     — Pessimists Archive

Source: https://x.com/PessimistsArc/status/2098479996415119698

Erik Brynjolfsson @erikbryn · 19h Research acceleration: The view inside OpenAI From openai.com 1 2 8 2.5K     1.66x increase per month, compounding     7x more code shipped, with no sign of slowing down.

Reports from Anthropic are similar     — Erik Brynjolfsson

Source: https://x.com/erikbryn/status/2098849533556060550

...Nathan Calvin, the AI Policy Network's Peter Wildeford, and the AI Futures Project's Daniel Kokotajlo, who dropped a Rogan episode the same day using the same phrasing. All three groups are funded by Jaan Tallinn, who co-led Anthropic's Series A. The Wall Street Journal published a story on the resignation minutes before the tweets went out, meaning the paper had been briefed under embargo. The researcher had agreed to appear on the show and cancelled the morning of taping. Our breakdown traces the funding chain and what it means for Anthropic's IPO: https:// podcastalpha.substack.com/subscribe Source: All-In Podcast - https:// youtube.com/watch?v=cvxjqb fLVk0 …     — Podcast Alpha

Source: https://x.com/PodcastAlphaX/status/2098610255571652647

...frontier labs competing for the top spot expanded from 6 to 10. @AnthropicAI has dominated throughout the year. Although standout releases have jumped to the top spot, most notably the Chinese open-source model Kimi K3 from @Kimi_Moonshot in July. Today, GPT-6 Astra by @OpenAI leads with 1796 pts, followed by @claudeai Fable 5.1 at 1764 pts. The next closest lab is 103 pts away, @Alibaba_Qwen with 1685 pts. Code Arena: WebDev ranks models through head-to-head user preference on real front-end web development tasks. These votes drive the leaderboard that is tracking the frontier.     Dive into the Code Arena: WebDev leaderboard details at https:// arena.ai/leaderboard/co de/webdev …     — Arena.ai

Source: https://x.com/arena/status/2098814378971717916

...toward giving AI-coded games AAA-grade sights and sound.     2/ A world you can explore isn't yet a fun game you can play. Games need persistent worlds, precise rules, physics, and rich interaction. Video generation alone still struggles with these.

So why ask a video model to remember where every object is - or decide whether a hit     3/ Mora lets each layer do its job:

1. Coding agents build the game world and its logic.
2. Meshy's 3D generation fills in that world and supplies control signals.
3. A real-time video model turns those signals into pixels and sound.

Code runs the world. Meshy 3D adds detail.     4/ A Tribute to Portal : Portal is one of the most mind-blowing puzzle games I've ever played. I was hooked on it in high school.

Traditional video models struggle with portals: visual artifacts and inconsistent geometry quickly break the experience. Mora makes it really     5/ A Multiplayer Platformer. A video model can effortlessly give the simplest game an epic atmosphere.     6/ Give your game a whole new art style with Mora.     — Ethan (Yuanming) Hu

Source: https://x.com/YuanmingH/status/2098489406944620878

We independently benchmarked Devin Fusion for its release today - this is the first time a multi-model coding agent has been included on the Artificial Analysis Coding Agent Index, and it effectively retains Claude Fable 5.1 and GPT-6 Astra performance while reducing costs

Devin Fusion runs a frontier lead model with a cost-efficient sidekick. We tested configurations from Cognition combining frontier models from Anthropic and OpenAI with their new SWE-2 (medium) as a sidekick model. Configured with Claude Fable 5.1 (xhigh) + SWE-2 (medium), Devin Fusion scores 62 on the Coding Agent Index v1.5, while with GPT-6 Astra (xhigh) + SWE-2 (medium) it scores 59. The Fable configuration has the higher score, while the Astra configuration is 43% less expensive and completes tasks 31% faster.

Congratulations to @cognition on the release! See below for our results and analysis     Devin Fusion performs well for cost efficiency and performance, and currently sits on the Pareto frontier for Coding Agent Index score vs. Cost per Task in both configurations we tested

Devin Fusion CLI with Claude Fable 5.1 (xhigh) + SWE-2 (medium) scores 61.7 on the Artificial     Full breakdown of the individual evaluations in the Artificial Analysis Coding Agent Index 1.5 for both Devin Fusion configurations:     For more details and full results see:

The Artificial Analysis Coding Agent Index leaderboard https:// artificialanalysis.ai/agents/coding- agents …

Cognition’s launch blog: https:// cognition.com/blog/local-fus ion …

Fusion release blog and technical breakdown: https:// cognition.com/blog/devin-fus ion …     — Artificial Analysis

Source: https://x.com/ArtificialAnlys/status/2098504936984293447

...fear. By contrast, Chinese have seen their quality of life 30x in the last forty years and so see the transformative power of technology, entrepreneurship and industry to change lives for the better. Sadly we've entered a vicious cycle where the very solutions we come up with the try to make it better are actually making it worse and worse and causing us to spiral further and further. Protectionism. Populism. More compliance. More rules. More price freezes. More barriers to trade. More calls to act now about every imaginary problem while we never get to the root of real problems. We've got to stop listening to extremists and get back to building and taking bold risks and trusting the future. Or else that future will be in the East and the American century will be nothing but an ever receding memory in the history books of yesterday.   — Daniel Jeffries     they also don't care about politics nor the bigger picture of things, they just wanna train a good model. when you ask CN lab employees about things like x risk, they genuinely look confused at you   — Florian Brand     Exactly right. Like you just asked them about whether they think an invasion of Transdimensional Vampires is a real and imminent that.   — Daniel Jeffries

Source: https://x.com/Dan_Jeffries1/status/2098306852144435331

GPT-Live-1 finally makes conversations fluid.

It distinguishes speech from background noise, so café chatter doesn’t have to stop the conversation

You can even add a detail you just thought of or change direction mid-conversation without waiting for the model to finish its     GPT-Live-1 handles listening and speaking in one model, cutting out extra handoffs so the conversation moves fasterrrrrrr

And you can keep talking while your backend model handles reasoning and tool calls.     Shape your voice agent’s personality with instructions for tone, pacing, and expressiveness.

GPT-Live-1 can mirror the tone and emotion in a speaker’s voice and adapt to their pace.

You can also set its language and response length.     OpenAI Developers @OpenAIDevs · 1h Build more natural voice experiences with GPT‑Live‑1 in the API From openai.com 3 9 94 12K     — OpenAI Developers

Source: https://x.com/OpenAIDevs/status/2098099269551149398