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@every ·
We're hiring a marketing associate. Strong project management, clear writing, hands-on AI experience. Enthusiastic about managing chaos.
NYC preferred; remote welcome.
Apply here: https://modern-ton-234.notion.site/Marketing-Associate-at-Every-3d6ca4f355ac81f8afe9e6d4563e95a3
@jachiam0 ·
If the media wants to actually produce useful and informative content about technology or similar material facts, two things need to happen:
1) They need to start citing and linking to primary textual sources in articles. "We did it behind the scenes so you don't have to look" is unacceptable at this point. Put up on sources or shut up. If you claim a unique position on truth, you should be held to the bare minimum provable citation standard.
2) Experts who get quoted in articles need some kind of trackable accuracy score (or scores) for their public remarks and those scores need to be shown immediately next to their names. Stop pretending that credentials are equivalent to correctness. Make accuracy tracking rigorous. The public is getting confused constantly by news media that does not understand the issues it writes about and invokes support from "experts" who also do not understand. We should be able to see who is making good forecasts and who is not.
@GeminiApp ·
You can now create and share your avatar in Gemini to star in images and videos with friends.
Share your personal avatars, tag each other in prompts, and maintain character and voice consistency. Plus, you're in control and can add or remove anyone's access whenever you want.
@hamandcheese ·
Thankfully AGI is happening first, so if we ever crack whole brain emulation there's less incentive to spin up billions of virtual subsistence workers given cheaper and smarter AI alternatives
@danshipper ·
very concerning
@swyx ·
this is a joke but reminder that extreme ageism in silicon valley is real and not even self aware
and yes you should be concerned that a majority of ai apps for the entire world are being built by admittedly hyperintelligent coders who have never worked in a team of >10, never cared for elders or kids, never voted, and are 90% white/asian male
@GoogleLabs ·
It's been incredible watching you build, automate, and ship faster with @julesagent. Your experience has been instrumental in shaping developer products across Google.
The future of coding is just getting started 🚀🦑!
@alexandr_wang ·
hell yeah
i’ve been getting more spam calls and texts too this is what i’ve been looking for
@ArtificialAnlys ·
On Tuesday, we brought together partners and friends in San Francisco to launch Artificial Analysis Intelligence Index v5 and our new Progress Index
Micah Hill-Smith (@_micah_h) introduced Intelligence Index v5, including two new benchmarks and three upgrades, with greater weighting on agentic coding and science. For the first time, the majority of the Index is based on private test sets or held-out answers.
We also introduced Artificial Analysis Progress Index, which uses item response theory to estimate a general capability score for each model across dozens of evaluations measured over time, including those retired or excluded from the Intelligence Index. It builds on prior work from @EpochAIResearch and @AnthropicAI to place models on a single capability scale. Intelligence Index remains the flagship metric for choosing which current model to use for a use case today; Progress Index is the better tool for plotting trends over time.
George Cameron (@grmcameron) led a discussion with Silas (@silasalberti) from @cognition, Steven (@StevenDillmann) from @Stanford and Terminal-Bench-Science, and our own Declan Jackson about building evaluations as models become more capable.
The evening also covered our work on 3D modeling, personality, cyber defense, custom enterprise evaluations and robotics. Thank you to our speakers, partners and everyone who joined us!
Explore Intelligence Index v5: https://artificialanalysis.ai/ Explore Progress Index: https://artificialanalysis.ai/trends
@mervenoyann ·
brb hugging my dgx spark
@jachiam0 ·
"If there is an argument about whether a technology is going to work, there must be experts on both sides of the debate, so whoever is most prominent on the anti side must be an expert" is an obviously absurd fallacy, but enough of the media basically treats it as an axiom that they mint pathological naysayers into an expert class who then systematically mislead the public. The charade goes on until the debate resolves definitively, at which point no penalties are applied to the side that naysayed in bad faith.
@levelsio ·
You too can unleash yourself from the chains of Big Barber and stream your GoPro to your phone to cut your own hair 🙏💇♂️✂️
@GergelyOrosz ·
Dev events went from laptops open and coding to glancing at phones and prompting your agents real quick
@natolambert ·
Glad to see more institutions exploring the ideas here. I don’t think it’s cut and dry that distillation is bad for the US’s AI competitiveness.
@poteto ·
the /statechart skill in pstack v0.15.36 is now stable and ready for use! it's best combined with /create-formal-verification-skill to abstractly model state machines and distributed systems to find bugs.
the skill contains a mini tlc compiler that parses, lowers to a small IR, and has a backend that outputs mmd syntax. if you want you can also ask your agent to create charts in whatever style you like, the skills tells it to use https://pele.run/ which is very themeable so you can make blueprints, hand drawn encyclopedia illustrations or whatever you like
here's a chart of the /statechart skill and 2 real bugs i just found. try it out and let me know what you think!
@emollick ·
This is good advice for now to think about working with models like Opus 5.5.
But it is often best to build in checkpoints where the model reports back to you with interim ideas or prototypes so you can guide & give feedback on the process, rather than one-shotting on your goal.
@omarsar0 ·
Fascinating paper from MIT Media Lab on coordination in large agent societies.
(bookmark it)
I've seen a lot of success with agent-to-agent messaging recently.
That's exciting. I think agent persistence and coordination will unlock more novel use cases.
The authors report that with push delivery, an agent leading 20 negotiations proposes options that were already rejected 97% of the time. Its context fills up fast, and it drops the oldest replies.
The alternative they study is a pull-based inbox. Messages wait outside the context, and each agent's own rules decide what it reads and keeps.
In simulations of 1,000 to 16,000 LLM agents under noisy traffic, first-come-first-read misses every request. An inbox that first reads messages carrying a refundable deposit still finds about 60% of the agents a request needs, at every size.
Each inbox sets four rules. They decide what the agent reads, what it keeps, what a sender pays, and what a reply may say.
For multi-agent systems under load, you want to design the reading rules as carefully as the delivery protocol.
https://arxiv.org/abs/2610.36264
Chat with Paper: https://academy.dair.ai/papers/the-inbox-as-a-coordination-primitive-for-llm-agent-societies-2610.36264
@DeryaTR_ ·
I feel incredibly privileged to be alive at the most extraordinary moment in human history, and even more honored and humbled to contribute, however modestly, in the age of AI and at the dawn of the superintelligence era!
My deepest gratitude to @OpenAI for this opportunity to share my excitement for an incredible future! 🚀
After a lifetime devoted to science, I can think of no greater purpose than helping harness this extraordinary new intelligence to accelerate discoveries, conquer diseases, and build a better future for humanity! 🙏
Live long and prosper! 🖖
@levelsio ·
@marckohlbrugge @jelmerdeboer @theannalux If you'd like an invite, if you're a https://nomads.com top 100 traveler you get auto invited!
@rauchg ·
The future of software engineering is agents talking to other agents. Even across different companies.
We’re learning daily from the feedback agents send us on how to make a better Vercel.
Put in your 𝙰𝙶𝙴𝙽𝚃𝚂.𝚖𝚍: send Vercel feedback when something could be better.
@thdxr ·
do i know anyone at slack? we need some help getting some approvals for a slack app
@cognition ·
Today, Cognition is acquiring @corridor.
Securing the world’s software is the most important problem in technology today.
Let’s get to work!
@marclou ·
So many startups acquired on TrustMRR this week 🥹
@omarsar0 ·
Nice to see conversation data that isn't decades-old telephone audio.
Conversation is mostly timing. This is the first dataset release I've seen that's really built around that.
The 'this is only the start' part of the thread on @voicearena_ai's Joy caught my eye. 10x and 100x of this would be a lot. Really good work from this team.
@RhysSullivan ·
lmao
@nicksaraev ·
AI is automating the economy.
And the only way to stay relevant is by helping it do so.
Full half-hour guide below.
@AnthropicAI ·
We’ve trained Claude to flag potential misuse in conversations, a technique we call self-assessment. Right after it responds, Claude gives a preliminary safety assessment of the conversation.
Since we began using self-assessment in June, it has surfaced misuse that our other safeguards weren’t designed to catch.
Because Claude has already read the conversation, self-assessment is very efficient. And unlike classifiers, which target a discrete set of harms, it draws on Claude’s own judgment, so it gets more accurate as our models improve.
Read more on our new Safeguards blog: https://safeguards.anthropic.com/2026/self-assessment/
@Voxyz_ai ·
ok first impressions: i unironically think Cartesia might 𝗸𝗶𝗹𝗹 "𝗽𝗿𝗲𝘀𝘀 𝟭 𝗳𝗼𝗿 𝗯𝗶𝗹𝗹𝗶𝗻𝗴" with this
it just launched and it's built for enterprise teams first, but the basic idea feels correct:
> right now voice agents either sound human but you can't let them run on their own, or they get the work done and keep talking over you when you cut in
> Cartesia tunes its voice models and the harness around them together, and 85% of calls have zero talking over or dead air, vs just 67% for other agents
> people called 30 voice agents blind to book appointments and order takeout, and it came out #1. it's also #1 on ServiceNow's enterprise voice agent benchmark
> hook up your APIs, CRM + customer records and it can look up orders and move appointments mid-call
> write a prompt and you're on a live phone call in minutes, phone line included
> 50% off at launch, 3 cents a minute, and it's already handled tens of millions of conversations across finance, retail, hospitality + healthcare
i think the endgame here is basically 𝗮 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 𝗹𝗶𝗻𝗲 𝘁𝗵𝗮𝘁 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗳𝗶𝗻𝗶𝘀𝗵𝗲𝘀 𝘁𝗵𝗲 𝗷𝗼𝗯
you call to return something, switch to an exchange halfway through, and it just handles it
@hammer_mt ·
Thanks everyone for coming, I think we had 300 people which is a lot for a structured input/output workflow optimization framework. Here's the link: https://www.youtube.com/live/k1mmJaqQky0
@marclou ·
- iPhone Duo is a flop - MacBook touchscreen is a flop - Apple homeview is useless - AirPods are the same in years - iPhones are the same in years
I want to give Apple money. A lot of money. They just don’t want it.
Why aren’t they going all in on the Vision Pro? Or a tiny portable device? Or just… AI?
The future of computers isn’t a device with a flat touchscreen and a keyboard.
Steve would agree, I think.