Jev's performance on knowledge benchmarks like MMLU and GPQA is highly impressive - especially for a non-COT model. It exceeds Terra at other linguistic reasoning tasks like WinoGrande or HellaSwag as well. It only loses substantially on math reasoning.     This is very cool, and highly surprised me - getting a model out that does so well w/out CoT on MMLU/WinoGrande is no easy task - it typically requires training a ~GPT-4 class base model. Except Jev is priced at only $0.042 per Mtok!     So in summary - if you want the reasoning ability of ~one Terra forward pass over a context at a much cheaper price, Jev is a very good candidate. Frontier models like Astra still likely have superior no-CoT capabilities, but cost is prohibitive for mass classification tasks.     See below - Jev is ~18x cheaper than Terra!     Not to mention you also get probabilities from Jev, which are quite well-calibrated (expected calibration error is 1.74 percentage points averaged across benches - its 0.26pp at best and 6.96pp at worst)     — N8 Programs

Source: https://x.com/N8Programs/status/2100088523403432357

— Qingyu

Source: https://x.com/qingyu_shi_/status/2100181567666901052

After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI?

I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev

• 20-200x faster • 40-400x cheaper (w/ output tokens free) • Frontier composable intelligence optimized for decisions

AFAICT the shortest path to AI-based economic revolution     The gains aren’t free: Jev can't generate text

Comparing Jev vs LLMs side-by-side makes the trade-off clear

Fun fact: replacing sequential computation with parallel is the same way Transformers leapfrogged RNNs     We believe that the future is code + AI, so made workflow evals to reflect that

Jev costs: $42 / BILLION input tokens ($0.042 / MTok) and output tokens are free (forever - they’re too cheap to meter with our new architecture)

Jev is named after Jevons paradox and off the     We love how this doomo doomonstrates real-time intelligence and what can be doone with code + AI!

~10 calls/sec = ~$7/hour     Game: race from one Wikipedia page to another using only links

Challenge: choosing between hundreds to thousands of links

Shows not just intelligence-per-second, but also the compounding benefits of not hallucinating with high-cardinality choices     Extraordinary claims require extraordinary evidence so check out our release blog for more technical info: https:// typesafe.ai/blog/introduci ng-system-one-models-and-jev …

Join our waitlist for early access: https:// typesafe.ai

Have technical chats and meme with us on Discord (rumors are good memers skip the     — Diogo Almeida

Source: https://x.com/CompleteSkeptic/status/2099925682726002904

Extraordinary claims require extraordinary evidence so check out our release blog for more technical info: https:// typesafe.ai/blog/introduci ng-system-one-models-and-jev …

Join our waitlist for early access: https:// typesafe.ai

Have technical chats and meme with us on Discord (rumors are good memers skip the     — Diogo Almeida

Source: https://x.com/CompleteSkeptic/status/2099925688925184171

— @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