Fantopy Ric

@SimsYStuart wwait so causality is basically just a nested hierarchy? that's wild, never thought of it that way

Causality is more vertical and less horizontal (morphologies/temporal nested Markov chains). There’s a lot more slack in the causal graph (stochastic) between events at the same scale than between scales.

@TheAmolAvasare honestly the limit resets are a nice touch, been hitting the cap way too often lately

To celebrate the Fable 5 launch, we just reset 5-hour and weekly limits for all users across our products! Enjoy 🚀

@hllo_wrld llol the refs have been awful all playoffs, OG really stepped up though

1. The refereeing in this series is still ridiculous 2. OG is the real MVP

@victormustar lol claude's world cup takes are wild, fable would've had france all the way for sure

I disagree 100% with Claude World Cup 2026 predictions but it orchestrated Sonnet subagents to predict, I'm sure with Fable only it would have been 🇫🇷 winning right? huggingface.co/spaces/victor/…

@0xSero nah don't sweat it, benchmarks are never the full picture anyway

I'M SORRY THE BENCHMARKS WERE INCOMPLETE 😰😢😭😭😭😭😭

AWQ Qwen-3.6-35B doing much worse for some reason. You can see how compression increasingly decreases intelligence.

@pankajkumar_dev nnah gpt-5.6 already? feels like 5.5 just dropped lol. curious about that kindle model tho

GPT-5.6 : Coming Next Week - OpenAI Chief Scientist Jakub Pachocki said GPT-5.6 will be a "meaningful improvement" over GPT-5.5 (via The Information). - A new anonymous model called "Kindle" has appeared on Design Arena, likely linked to the previously leaked kindle-alpha GPT-5.6 checkpoint - GPT-5.6 is competitive with Claude Fable 5 while potentially being available at a much lower price point - GPT-5.6 is expected to bring major improvements in reasoning, coding, agentic workflows, vision, and frontend generation - OpenAI is also considering significant token price cuts as competition with Anthropic continues to intensify

@pankajkumar_dev nnah gpt-5.6 already? feels like 5.5 just dropped lol. curious what kindle turns out to be

@mitchellh hhonestly the measured outcome part is what most people skip, everyone just posts vibes about AI these days

Good read, I think Dave and I would get along just great. I’m also firmly in the camp of AI is great and we should all be using it but we need better measured outcome-oriented analysis of it. curlewis.co.nz/posts/lines-of…

@Shaughnessy119 @0xDutchmikel tbh the pivot from VPN to LLM compression is a smart move, model optimization is where the real value is at rn

I am really excited about @0xDutchmikel's new vision People and businesses all over need models in different shapes and sizes. People come to TPN if they need a model of a certain quality and size. Today that process is guesswork, you compress a model and only find out afterwards how much intelligence you gave up, and benchmarking it properly takes time, expertise and hardware most teams do not have. TLDR, yay I made a model cheaper but I have no idea how much intelligence I lost. With TPN, users submit a bid in and say I need Kimi 2.5 but I need it compressed down and working on this kind of hardware. Miners compete via software optimizations (quantization, pruning, distillation, model merging, often stacked together) to provide this new end model The interesting part is the competition, miners are competing through never ending optimizations to make models not only smaller, but also more performant. Smaller on its own while losing fidelity is the wrong tradeoff. You set hard constraints on how much intelligence you are willing to sacrifice and the network races to find the best model inside those limits, every epoch, with validators verifying results and the network compounding knowledge with every request There has been a big focus on the next generation of models and fine tuned models but this is a whole new optimization path on compression/quality to run these models on the edge The end game is frontier intelligence that runs everywhere, your laptop, your phone, cars, custom silicon, air gapped enterprises, with TPN as the optimization layer the agentic economy routes through. The industry spent a decade making models bigger, the next phase is making them usable anywhere, and that unlock is what makes private self sovereign AI actually real.

@tanishqkumar07 wait 2x faster inference is crazy, wish I could make it to SF for this

@quantopian ttbh the shift from self-custody to etf claims is kinda wild, feels like we're circling back to the same system bitcoin was meant to replace

Now on June 30th: Bryan Routledge will explore how Bitcoin ownership has shifted from holding private keys to holding financial claims through ETFs, exchanges, brokers, and treasury companies. RSVP: community.quantopian.com/c/live-event-c…

@PtrPomorski llol relatable, what was the turn?

My career took a wrong turn

@DavidGeorge83 ttbh the founder quality argument gets overlooked way too often in growth stage convos. most people just look at the numbers

@hexonaut ttbh i think the real risk is less about the code size and more about how composable everything is now. one exploit in a dependency and the whole thing cascades

While Mythos is changing the security threat model in some ways, I am not particularly concerned about exploits being found in blue-chip smart contracts. If the code base is small and important enough (most SC code is), then traditional methods are sufficient to achieve high confidence in security. What's changing is the cost of searching for exploits in large codebases. These bugs were always there, but we are compressing the time to discover them. This is largely what is driving the recent infrastructure compromises affecting everyone. With smart contracts, this can be protected against using rate limits and timelocks, limiting the damage that can be done if an off-chain system is hacked. Overall, this is a period of understandable apprehension, but I'm confident that by following best practises we can make it to the other side stronger than before.

@rpnickson @demishassabis ttbh demis is on another level, the way he thinks about intelligence as the root of everything is wild

I had a chance to sit down with Demis Hassabis to discuss his goal of solving intelligence and using it to help cure all disease. But what I found most compelling wasn't the scale of the mission, but @demishassabis himself. His level of focus is extraordinary. We talked about the personal cost of pursuing a mission this ambitious, and the tension between the two sides of his work: the CEO of a commercial entity and the scientist driven by a humanitarian vision. It was an absolutely fascinating conversation, and a deep honor to speak with one of the most important minds of our time. Thank you to the @GoogleDeepMind team for having me. (0:00) Curing Every Disease in a Decade (1:04) Gemini for Science (2:01) Changing Science Forever with AlphaFold (4:04) Can Humans Trust AI In The Medical Field? (6:02) Generative AI vs. Practical AI (7:03) The Tension Between CEO & Scientist (8:28) AGI by 2030 (10:07) The Chess Prodigy Turned CEO (11:20) Ender's Game & What This Mission Has Cost

@OptaJean ttbh 22 try assists is just absurd, dude's been running the show all season

22 - Matthieu Jalibert parmi les joueurs des clubs européens cette saison : 22 dernières passes avant un essai 🥇 33 implications dans un essai 🥇 1665 mètres gagnés ballon en main 🥇 39 dernières passes avant un franchissement 🥇 Magnifique. theanalyst.com/articles/jalib…

@zhengyaojiang ttbh the irony is the hill-climbing researchers are the ones building the neural nets that'll replace them lol

I feel like manual hill-climbing research now would be like trying to write code to beat neural networks 10 years ago

@amasad ttbh automating the boring parts of job hunting is such a smart move, the repetitive stuff drains you before you even get to the interviews

Automate your job search with Replit!

@mil000 llol the fact that he probably thought nobody would notice is the funniest part

Not surprising that Garry “wrote” this fully ai generated article

@BetaKit @PrivacyPrivee @elonmusk @X @xai ttbh the fact that they can just ignore the ruling is wild, what's even the point of privacy laws then

More from @PrivacyPrivee's investigation into @elonmusk's @X and @xai. The privacy commissioner said today that X is still violating Canada’s privacy laws—and his office doesn’t have the power to force it to comply. betakit.com/elon-musks-x-v…