We can assume (outside of Ollama) that they meant the strongest model from each lab. If you limit yourself to just looking at the literal strings in the list, literally none of these are models. What model is "Deepseek" or "GPT"?
How is this any different than what we have already? We've had this ability for ages (6+ months, decades in the AI world), you can literally today easily prompt CC or Codex to use subagents to accomplish tasks and they'll do it well. My entire workflow is one top level orchestrator chat creating tickets to dispatch to subagents to implement, and other subagents to verify. Why is this being sold as a new thing? Have HN users never tried tried asking CC or Codex to use subagents?
As usual HN posters are hyper aware of other's credentials while ignoring that their BS in CS (if that) doesn't magically qualify them to assess everything in every domain.
"I'm a software engineer, I'm sure if I had the time to study Neuroscience, I'd figure out what all of these researchers failed to realize all these decades! I (alone) have the magic of critical and logical thinking"
Don't forget that the denominator (total number of outstanding shares) will be increased by this as well. So even if the market cap reacted exactly one to one like you're proposing the per share price wouldn't stay constant necessarily.
Frontier as in "Frontier Model" is a legitimate vocabulary term you should probably be aware of in 2026. It's not something the author made up or chose randomly, it's common parlance in the space.
Can you really look yourself in the mirror and say with a straight face that fundamentally nothing has changed about the relationship between the US and its allies? Do you really think Europeans will be quick to forgive the wrongs of this administration? They’ve lost faith in our political system and will, rightfully so, do everything in their power to disentangle with us. The problem with your theory is that they know even if Trump is replaced by someone closer to European social values, our electorate could just as easily completely reverse course in 4 years. It literally already happened. Bush never threatened to annex European territory with military force as far as I can tell. But I understand why in these chaotic times you’d want to gravitate towards hopeful fictions.
Probably a better way to phrase it would be keeping “pace“. Yes, they are still behind but by about the same amount as they always have, they aren’t drifting further behind. Like two marathon runners, one a a mile ahead, but both maintaining the same mile time.
What exactly is the intuition behind taking something inherently linear like a sequence of 100 days and presenting it as a graph with no information given about the rationale or reasoning behind the edges.
Of course the motivation makes sense on the surface. What I'm getting at is that the supply of capital vs the supply of potential "control of the future" plays feels incredibly imbalanced. Money seems to be so desperate to move into AI it's lost all prudence (the particular people and company mentioned in the OP nonwithstanding, maybe they do deserve 1B).
"not wanting to risk missing out" is essentially just FOMO right? "Smart" money has feels more like FOMO money these days. We literally have shoe companies savying they're going to pivot to AI and having their market cap increase in multiples as reward.
Not the first to notice this I'm sure but it feels like there's an insane amount of pressure pushing capital towards anything with a hint of AI legitimacy. It's as if asset owners across the planet have come to a consensus that the only industry that will matter going forward is this one (fair enough I guess), but this intense systemic pressure squeezes insane amounts of money toward litearlly any AI shaped outlet that opens up. It's just starting to feel like "scared and desperate" money more than "smart money".
Never thought I'd see the day ragebait made it to HN. Yes, let's pretend doing a long jump on the moon is comparable to running a marathon at its prescheduled time at its prescheduled location. Weather is always a factor in sports that take place outside. Might as well put asterisks on all accomplishments that took place on sunny days by your logic right?
I didn't express this well but my interest isn't "who is in the top spot", and is more _why and _how various labs get the results they do. This is also magnified by the fact that I'm not only interested in hosted providers of inference but local models as well. What's your take on the best model to run for coding on 24GB of VRAM locally after the last few weeks of releases? Which harness do you prefer? What quants do you think are best? To use your sports metaphor it's more than following the national leagues but also following college and even high school leagues as well. And the real interest isn't even who's doing well but WHY, at each level.
I’m deeply interested and invested in the field but I could really use a support group for people burnt out from trying to keep up with everything. I feel like we’ve already long since passed the point where we need AI to help us keep up with advancements in AI.