Aravind Srinivas
@AravSrinivas ·
Perplexity is evolving into a multiplayer workspace.
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Peter Yang@petergyang ·
oh no :(
kache@yacineMTB ·
I can't believe cohere is now valued at 35 billion Canadian dollars. Or, in American dollars, 10 million
corbin@corbin_braun ·
GPT Astra and Opus 5.5 High
this was all I really needed
any improvement of these models
will just make my logic go by faster.
but endgame is here.
ThePrimeagen@ThePrimeagen ·
lmao
Amjad Masad@amasad ·
Run any GitHub repo. Just paste a link into Replit and it will set it up for you!
Santiago@svpino ·
Video models improve faster than I can read about them.
Pika H3 Flex is an open-weight model doing something different:
It optimizes for faster generation with multiple ways to refine the video later:
• It generates 15 seconds of video in just 7 seconds! • It exports separate audio tracks • It offers draft mode to resolutions up to 4K • You can edit characters, voices, camera moves, etc.
Tibo@thsottiaux ·
Send your kind feedback to this person
GREG ISENBERG@gregisenberg ·
A message to founders that there's a ton of fake ARR numbers out there these days.
Andrew Curran@AndrewCurran_ ·
Even little Haiku found about twice as many major errors as human reviewers.
Samuel Hammond 🦉@hamandcheese ·
🤔
Alex Atallah@alexatallah ·
Our new routing algorithm dramatically raises the floor for inference on open-weight models.
Early head-to-head results vs. the old router: ~20% faster time to first token ~20% higher throughput ~40% fewer fallbacks ~60% fewer rate-limit errors
Every 📧@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
Joshua Achiam@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.
Google Gemini@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.
- Samuel Hammond 🦉
@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
Dan Shipper@danshipper ·
very concerning
swyx@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
Google Labs@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@alexandr_wang ·
hell yeah
i’ve been getting more spam calls and texts too this is what i’ve been looking for
Artificial Analysis@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
merve@mervenoyann ·
brb hugging my dgx spark
- Joshua Achiam
@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@levelsio ·
You too can unleash yourself from the chains of Big Barber and stream your GoPro to your phone to cut your own hair 🙏💇♂️✂️
Gergely Orosz@GergelyOrosz ·
Dev events went from laptops open and coding to glancing at phones and prompting your agents real quick
Nathan Lambert@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.
lauren@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!
Ethan Mollick@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.
elvis@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
Derya Unutmaz, MD@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! 🖖