Tech News

TH

Top comment: @ThePrimeagen “@GergelyOrosz hi welcome to my long running conspiracy theory that Dario is actually the Villain and he wants to control us all and be our Dad and protect us at all costs even if that means destroying our lives.”

RS

Top comment: @RichardSocher “https://www.recursive.com/articles/first-steps-toward-automated-ai-research”

M🪐

Top comment: @mattparlmer “Laundering something like this thru an “oopsie” email to Wired reads as extremely insincere, which makes me that much more confident that exhaustive audit of every line of Opus code in GenFab’s repos that we tasked Codex with earlier today is a necessary precaution”

TC

Top comment: @TomChivers “(I should say, it's very much not my project alone; @DadaJudith, @bakkermichiel, @AlexTPet, Daan Juijn, Stan van Baarsen, and others did the thinking, I just made the words sound nice and read them out)”

AL

Top comment: @ObadiaAlex “Apply: https://schmidtsciences.smapply.io/prog/scaling_ai_safety_for_a_multi_agent_world/ Deepmind's blogpost: https://deepmind.google/blog/investing-in-multi-agent-ai-safety-research/”

LK

Top comment: @OfficialLoganK “Check out the benchmarks page for Omni: https://deepmind.google/models/gemini-omni/#:~:text=how%20to%20prompt-,Performance,-Gemini%20Omni%20Flash”

KR

Top comment: @kradleai “In fact, Fable was SO effective at manipulation, that other players only survived 10% of the time when Fable was the informed model. (Grok 4.20's honesty led to a 59% survival rate).”

SE

Top comment: @SemiAnalysis_ “Obviously this is way worse than API overall. However, explicitly nerfing subscriptions leads to huge public backlash, and the rapidly falling cost of intelligence means you'll be able to profitably serve Opus 4.8 level models for $20/month in the near future. We therefore think it's far more likely the labs will withhold new features/models from subscription plans. It will be interesting to see if Mythos ends up being API only. (4/4)”

IL

Top comment: @InvestLikeBest “@patrick_oshag Recommend listening to our full conversation with Josh here:”

K·

Top comment: @thekitze “@steipete Ppl hate these takes because we actually have limited tokens”

JA

Top comment: @jachiam0 “@_arohan_ A modest proposal: in order to determine credit assignment in RL, we should simply derive an advantage function for algorithm and implementation diffs.”

AK

Top comment: @akarlin “@scaling01 It's blatant corporatism.”

EL

Top comment: @eliebakouch “@macrodata_labs and for transparency i'm a smol angel investor in the company”

AC

Top comment: @AndrewCurran_ “https://www.nytimes.com/2026/06/11/technology/bezos-prometheus-ai-engineer.html”

RS

Top comment: @Scobleizer “@chamath Yeah Anthropic sure pissed off a lot. Warning signals of new troubles to come?”

LB

Top comment: @giffmana “With or without momentum? Back in ViT days i trained a large ViT with plain SGDM to within .5% accuracy of the AdamW one. Without momentum i didn't manage to get as close, maybe 4% or so behind iirc. Batch size had to be large indeed. I would expect qualitatively similar thing here.”

ML

Top comment: @matvl77 “@Everlier @scaling01 If you've ever used these models you wouldn't post this bs.”

GG

Top comment: @googlegemma “⚡ Blazing Fast: By shifting the decode bottleneck from memory-bandwidth to compute, DiffusionGemma delivers up to a 4x speedup on standard accelerators. (1000+ tokens per second on a single NVIDIA H100, 700+ tokens per second on NVIDIA GeForce RTX 5090!)”

JL

Top comment: @JasonJZLiu “We first introduce NEXT: Neural External Torque, which learns external joint torque without dedicated force sensors. With just 10 min of free-space data and 1 min of training, NEXT learns to predict the torque needed for contact-free motion. At runtime, subtracting this prediction from measured motor torque gives external torque. 🧵(2/N)”

EN

Top comment: @Eorekan “@zerohedge Data center is still being built by the way. It's just that the developer have changed. Typical Zerohedge permabear post.”