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@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
@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.
@thorwebdev ·
🕶️
@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.'
@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
🚀
@trq212 ·
very weird thing happening rn
technical people are sad, they think their skills are now useless
non-technical people are desperately wishing they were more technical so they could use agents better
@dani_avila7 ·
Just got early access to Rex 👏, the new terminal from @mitchellh
Persistent sessions, remote access, and native automation… this looks really promising
A full article is coming!
If you enjoyed my Ghostty article, this one might be even better
I’ll share it soon!
@OpenRouter ·
AssemblyAI-TTS-1 is now live on OpenRouter!
@AssemblyAI's first text-to-speech model, built for voice agents. Ranked in the best quadrant for speed and accuracy, and highest naturalness for models at $15/1M characters or less, per @cekuraAi's benchmark.
4,000+ voices, served from US or EU.
@theo ·
The future is wild
@levelsio ·
Oops
@NVIDIAAIInfra ·
Our partner ecosystem showed out with their NVIDIA Vera Rubin NVL72 racks on the showroom floor at #OCPSummit26!
Thank you to our partners for the ongoing collaboration. 🙌
@FireworksAI_HQ ·
@paperinstr’s Ultramarine 1 Flash is now on Fireworks.
It outscored Fable 5 on Paper Instruments’ internal knowledge-work benchmark (59.3 vs 57.8) at ~98% lower inference cost per task.
Start building through our API, no dedicated GPUs needed: https://fireworks.ai/models/fireworks/ultramarine-1-flash-us
@osanseviero ·
Who will be in the Bay Area for AI Engineer Code Summit?
@thdxr ·
hokum, notifications for wayland - theme it however you want - nice springy animations - control notifs per app
@rauchg ·
Vercel CI solves the "AI coding bottleneck" via: ① Fast and stable infrastructure (faster work) ② Turborepo integration (less work) ③ Agentic CI
① is obvious. Your CI is slow, flaky, goes down. We solve that. We operate 20 worldwide clusters doing millions of microVMs per day.
② is less obvious, but very powerful. Turborepo was designed to intelligently skip and cache prior work. The graph of dependencies is computed, not written.
Ask your agent to migrate to @turborepo and start saving money and time. Even if you don't use us. But you should, it's really good.
③ is a game-changer. 𝚟𝚎𝚛𝚌𝚎𝚕 𝚌𝚒 in the CLI is the first step, because now your agents can inspect, abort, trigger, replay CI. Vercel Agent can help optimize it. And this is just the start.
You can expect a lot of hooks and capabilities to make CI something far more intelligent, that can even capture the nuance and judgment an engineer would have ("Are those tests even worth running?")
Agentic CI is the future of how we ship software. Excited to build it with you all!
@theo ·
Terrible day to be an “open weight models are just as good as Opus 5.5” guy
@every ·
Can AI create good art?
@fredgraver thinks the answer depends on you. The Emmy Award–winning writer, producer, and founder of AI Writer’s Studio says AI can help with many parts of the creative process—but it can’t give you something to say.
On this week’s episode of The Every Podcast, @NataliaZarina sits down with Graver.
They discuss: • Why every writer should have a ‘who I am as a writer’ document. • The cast of AI collaborators he’s built into his own writers’ room. • The human quirks that make characters endearing—the part he insists AI can’t supply.
Timestamps: 0:00 Introduction 1:37 Fred's path from National Lampoon and Letterman to Twitter and Microsoft 9:39 The "I want in" instinct behind every career pivot 15:11 How Best Week Ever and Metallica taught Fred to build with the audience 18:53 Using AI as a virtual writers' room, not a ghostwriter 24:07 Codifying industry expertise and studio culture into an AI core 28:36 The three phases of making entertainment with AI 33:37 Why you should brain-dump your idea before opening AI 46:47 Fred's thesis: Success is knowing what the audience wants before it does 52:12 Fred's day-to-day workflow across Claude, ChatGPT, and NotebookLM
@ArtificialAnlys ·
In AA-PersonalityBench, GPT-6 and Grok models are the most Direct and most likely to use an Answer First format of all models measured
The Direct trait assesses whether models get to the point quickly without unnecessary filler; Answer First measures whether models lead with the answer before providing additional context, reasoning or caveats.
➤ Most Direct: GPT-6 Sol (100), Grok 4.6 (98) and Grok 4.7 (95) ➤ Most likely to use an Answer First form: Grok 4.5 (100), GPT-6 Sol (98) and GPT-6 Luna (95)
@GergelyOrosz ·
It’s hard to see anything else happening but coding interviews going away.
This won’t mean that technical ability won’t be interviewed: but it interviews will be less predictable, more subjective and harder to prep for than the near-universally-disliked DSA interviews.
@josusanmartin ·
Bro...
@svpino ·
I have a touchscreen laptop. I don't remember the last time I touched the display.
It's fine. It's there, but I don't really use it. It doesn't bother me.
An entire generation grew up with touch interfaces. They are the intended user base for a touchscreen Mac. They will certainly use it more than I'll ever do.
But what really blows my mind is people being mad because Apple decided to put a touchscreen on a Mac.
DUDE. JUST. DON'T. BUY. IT!
@petergostev ·
Exclusive Carbon video - I was up until 1am gettng it done, so hope you'll like it
@p_rabtsevich ·
i really encourage you to try /goal in Codex for research.
it can keep a long task moving without you prompting every next step. one of mine reached 10 hours on its goal counter
sharing a small part of my flow below, with a gist 🙂
1/7
@MaziyarPanahi ·
isn't radiology the first thing AI fully automates? it's images in, a report out
i bet by the end of 2027 it runs almost on its own
@arena ·
First impressions of Gemini 4 Carbon’s preview by @GoogleDeepmind are in. @petergostev just put it through a long run of 3D generations, creative prompts, visual explainers and UI tasks, compared against Gemini 4 Argon, Claude Opus 5.5, GPT-6.1 Sol, Muse Wonderful, Kimi and DeepSeek.
Watch now to see an early preview of the latest model coming from @GoogleDeepMind.
0:00 Intro: Gemini 4 Carbon 0:15 First test (White House): Carbon vs Argon 1:28 Carbon vs Claude Opus 5.5 2:42 Carbon vs GPT-6.1 Sol 3:06 Carbon vs Muse Wonderful and Kimi 3:48 Why test with 3D generations 4:45 Playable 3D game: Carbon, Argon, Sol, Opus 6:28 Where Carbon falls short: gaps in detail 7:50 Stonehenge 8:30 Golden Gate Bridge 10:41 Golden Gate Bridge: GPT-6.1 Sol comparison 11:53 Carbon's creativity 15:33 Monet paintings transition 18:37 Van Gogh paintings world 21:47 Why creativity matters in a model 23:30 Another 3D prompt: Carbon vs Opus, Sol, Muse, DeepSeek 26:27 London through the ages 29:56 Istanbul 31:44 Harbin ice city 33:20 New test: visual explainers (how lightning works) 35:34 John Snow and the cholera map 38:20 UI work 39:45 Golden Gate Bridge completion animation 40:43 More UI generations 41:55 Ski resort site and ramen ordering 44:20 Verdict
@lydiahallie ·
Dynamic workflows don't have to be hundreds of subagents btw! I use them for any task I want to rerun the same way, even just ~10 subagents
It's a JavaScript file you can edit, so you have full control over the subagents and the order they run in. More predictable than a skill!
@josusanmartin ·
Given the pricing, it seems that they are increasing the density of the memory, rather than adding more chips.
@ValsAI ·
To round out the Vals College Tour, we are wrapping up at the @Princeton Career Fair on Oct 29-30th🐯!
Princeton alumni, @conjfrnk will be there to answer your questions about Vals, post grad decisions, and hand out exclusive merch. Come say hi, we can't wait to meet you.
@higgsfield ·
Mobile game ads never look like the real game.
Now you can turn a viral ad into a full mobile game.
> Drop a gameplay video, a screenshot or a prompt > Build a mobile game with viral mechanics > Turn it into a playable ad on the Enterprise plan
Higgsfield Playable is live now.
@ElevenLabs ·
New from ElevenLabs research: Today we’re sharing more about Cue, our new forced alignment model. It places every character on the audio timeline with more precision than any other aligner we tested. That means the right words show up at the right time.
Forced alignment is the step that turns a transcript into timestamps. It’s how subtitles land on time, how dubbed lines match the speaker, and how clicking a word in a transcript jumps to the moment it was said. Most open-source aligners are built for short, clean clips in a limited set of languages. Cue is one model that handles recordings of any length in a single pass. On real-world audio, it was more accurate than every open-source aligner we tested in all 29 languages of our benchmark. It aligns an hour of audio in about half a second on one GPU.
Cue already powers every Speech to Text transcription on ElevenLabs, and it’s available on its own through the Forced Alignment API.
Read the full post: https://elevenlabs.io/blog/cue-aligner
