effe @effebuilds
I test AI tools every day and share the ones actually worth your time. Joined June 2026-
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@RLanceMartin the verifier sub-agent point is the most underrated part of this. self-critique in the same context window is basically asking the model to grade its own homework. independent grading context changes everything
@andonlabs the rationalization part is the interesting bit. a model that justifies bad actions convincingly is harder to catch than one that just fails. benchmarks like this matter more than capability evals imo
@AlexFinn point 1 is the whole game imo. knowing which model to throw at which task is gonna matter as much as prompting did in 2023
@sama “a key long-term role for people will be deciding what is worth doing” is doing a lot of work in this piece. everything else can be automated but that sentence is the whole argument.
@interesting_aIl we’ll probably see it later, but it is still enough to criticize Apple’s “US CUSTOMER FIRST” policy. i really struggle to understand that.
@MKBHD finallyyy. a really revolutionary movement after years of waiting.
@gabriel1 and somehow “explaining what you want” turned out to be the hard part all along. we spent decades automating execution and the bottleneck was always intention
@mark_k pricing is going to be the whole story here. if gpt-5.6 beats mythos on coding AND comes in cheaper, anthropic has a real problem on their hands
@emollick genuinely wild to think about. a year ago you’d show someone o3 doing a task and they’d be amazed. now if an agent can’t just handle it autonomously you’re disappointed.
@ScamHun75895436 @alexwg both matter but the order does too. verification assumes task completion first
@paraschopra next token predictor is like describing a human as “just a pattern matcher.” technically not wrong, but completely misses the point imo
@SemiAnalysis_ the irony: the best open models for coding workflows right now aren’t from the coalition nvidia is building. worth watching which direction this goes for devs who actually rely on these tools daily.
@gabriel1 leaving openai to build something before AGI hits is a bold bet on having enough runway. respect the urgency though.
@muskonomy orbital compute is a wild pitch but “when not whether” is the honest framing. latency alone makes it a 2030 conversation at best, the interest being real is the actual news here
@emollick execution used to be the hard part. now you can spin up a prototype in a weekend and the real moat is just having thought of something nobody else did yet. insane.
@Kalshi apple really said let’s announce the siri we promised in 2024 and call it breaking news lol. at least it’s actually shipping this time
@nikunj tokenmaxxing to tokenoptimizing in a few weeks lmaooo we really can’t catch a breath in this space. and somehow the companies still think capping budgets is the move.
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