
* Co-Founder of Nora * Co-Founder of @wendylabsinc *Co-Founder of https://xitter.cf/t.co/Prt2fRyKQj @dittolive
San Francisco, CA
Joined January 2015
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Maximilian Alexander retweeted
Introducing Flint, @Recursive_SI’s first model: a fast local coding model built with our automated research system, the Eureka Machine.
• Best-in-class fast local coding
• Up to 2x faster than comparable models: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark
• Built from scratch in under 4 months
Private, unmetered intelligence on your own machine. Open weights available now on @huggingface, run it locally on your favorite framework or try it for free on @opencode or @pidotdev.
Maximilian Alexander retweeted
After being at the physical AI summit in SF, I am convinced that
the bitter lesson that coding harness solves the world applies absolutely to every industry
every
single
one
Maximilian Alexander retweeted

Anthropic@AnthropicAIOct 20
United States
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New on our Science Blog: designing protein binders against scorpion neurotoxins.
Scorpions sting about 1.2m people every year, and antivenoms are often costly or in short supply. Claude has made an early step toward finding new treatments.
anthropic.com/research/claud…
Maximilian Alexander retweeted
i'm teaming up with @vivmarquez and @liquidai for an on-device AI hackathon!! take a @Qualcomm_Dev IQ9 EVK and any of the LiquidAI models and build something that works in Airplane Mode!
i'm pumped!! it's going to be awesome and i can't wait to see what folks build. more details here: luma.com/0nsdnkoa
Maximilian Alexander retweeted
I feel Agentic AI and Robotics will eventually converge. Both are about reasoning and acting, just in different environments.
Acting in the physical world is much more challenging, involving embodiment, perception, control, safety, and physical interactions.
Maximilian Alexander retweeted
May not be much, but generalizes pretty well and is fully autonomous and doesn’t use the evil VLAs
Maximilian Alexander retweeted
This doesn’t seem to be a very robust strategy in the era of AIs that can use your computer on your behalf.
notice..
> Delta is blocking AI agents from booking flights
> JPMorgan Chase and Charles Schwab block agents from accessing accounts
> Yelp requires paid data licensing for agents
> Amazon has blocked Grok bot and other shopping agents.
the internet is starting to block AI agents that were supposed to do everything for us
Maximilian Alexander retweeted
Developers are going to be a small part of total token usage over time, as the internal stats on usage at OpenAI and Anthropic both show. And for long-running high value tasks in areas where verification is harder, the benefits for higher "intelligence" models are quite large.
OpenAI, Anthropic and other leading AI labs face a growing challenge: Better models aren't necessarily attracting more usage. A 10-point intelligence advantage now earns just 20% more developer traffic, down from nearly 69% in late 2025.
Full story: thein.fo/4hGJ9jY
Maximilian Alexander retweeted
This is what you can do with:
- Good engineers (@SamuelSBlackman, @OliverWTaylor )
- Good tools (@wendylabsinc)
- Good LLMs (@OpenAI) – at Best, Nederland
These past 2 weeks have made RL a lot easier. I made a really nice mini golf sim in >2 days. A good LLM makes setting up IK demos → behavior cloning surprisingly straightforward.
Action chunking has made my motions much smoother. Just ensure that you are adjusting K values and chunks according to your real robots Hz (usually camera or policy or joints have a maximum and will be the bottleneck)
SGS helps decide what to practice next instead of sampling everything equally. Surprisingly makes training very reliable.
PPO still gives me the best results. I still have faith that someone will make SAC with better adjustments but that doesnt matter.
Still unsure where self play is the go to method for most things but I usually use this for all things RL.
Also, people really dont need GPUs that are too expensive. With motion priors, training should almost always take under 24 hours to see solid results.
Maximilian Alexander retweeted

Tim Sweeney@TimSweeneyEpicOct 17
United States
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The games we've long wanted, which didn't exist because they'd cost several times more to make than they'd earn back, will soon become possible. As will the games developers wanted to build, but couldn't with the resources available. It'll be a new golden age of gaming.
Maximilian Alexander retweeted
LMAO, #Blender is finally free and open source!
Maximilian Alexander retweeted

will brown@willcbOct 16
United States
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twitter is the bloomberg of ai research
Maximilian Alexander retweeted
Over the past month, we completely switched to frontier LLMs to control a robot in a customer deployment.
By doing this, we have a classic System 1/System 2 architecture, but on steroids.
For the high-level reasoning layer, we use an agent based on Opus and Astra, which are many generations more capable than any VLA. For the fast execution layer, we use computer vision code written by the model, which is fast, editable, and reliable.
As a bonus, we got in-context learning, which is just a basic feature of LLMs, and continual learning, since whenever a new situation arises, the large model steps in and adapts the pipeline.
And it just feels better to be on the right side of the Bitter Lesson, benefiting from the billions being invested in frontier models around the world.
Maximilian Alexander retweeted
Following three years of development, FluidNinja LIVE-2 released - free to download at the community server
#FluidNinja #UE5 #realtimeVFX #VFX #gamedev
Maximilian Alexander retweeted
This paper shows why I am skeptical of the idea that frontier models can be easily replaced by cheaper ones (and why you should use the best models as orchestrators): Small improvements in accuracy & judgement compound over long-horizon tasks, creating huge gains in outcomes.
Maximilian Alexander retweeted
Some thoughts about the frontier AI business right now:
1. The recipe for making AI coding models is widely known throughout the industry and all of Silicon Valley. There is no secret to this. It is primarily RL envs + Compute.
2. I predict in single digit years most companies / individuals will use free AI coding models. Free meaning sold at chip time (cost). There will be no real business in selling AI coding models, as there is no inherent moat in making AI coding models.
3. Frontier labs without cash producing businesses will be unable to subsidize AI coding models and will transition to selling other forms of intelligence like biology, chemistry, pharmaceuticals etc.
4. Most companies you see that are still behind in coding models like @Muse and @SpaceXSI are mainly due to lack of RL envs and harder tasks. What I am saying here is that these gaps will further close, as these companies make more RL envs.
Maximilian Alexander retweeted
Replying to @finkd
Congrats to the team! Amazing to run a model of Muse Spark Open's caliber and scale this efficiently, right from your desk. Mac Studio keeps pushing the boundaries of on-device AI!
Maximilian Alexander retweeted
My former boss, longtime Square Enix CEO Yoichi Wada, used to tell me that games were the tip of the spear of technology in consumer software.
There was no software so complex sold to the mainstream.
Put another way, no other consumer software required you to either purchase a specialized hardware card (GPU) or a dedicated game console in order to use it.
Yes, there was professional software (CAD, CG rendering, etc.) that was as complex. But for consumers, games were at the edge.
As a result, for decades, the industry required a deep core competency to develop for it, teams were small, and revenue was concentrated from their core audience.
Multiple things changed starting in the early 2010s.
First, the explosion of browser (Farmville) and then mobile games led to a massive expansion of the audience meaning games revenue expanded out of the need for core tech being driven by graphics and compute innovation.
Second, game technology like Unity and Unreal Engine began reducing the deeper technical hurdles needed to participate in the industry. (You did not need to relearn a new engine each time you started at a studio.)
Third, other technology company growth became supercharged, and began pulling the best technologists toward them at rates that games could not compete with.
VR (see: Carmack), streaming video, AI, etc. We can put aside whether some of these efforts were successful; every company in the magnificent 7's stock has appreciated far more than any game company between 2010 and now, so if you joined Meta for VR in 2014 you probably could have retired long ago.
This had a knock-on effect because many game developers in the US were concentrated in California and Washington state, which were also the places where tech was concentrated, and these white collar workers' housing costs went up greatly as tech minted thousands of millionaires a year while the housing market didn't expand inventory at the same rate. As a result, game salaries salaries went up, but not as high as tech companies.
Furthermore, the ZIRP investment boom into games between 2018 (post Fortnite) and 2023 led to a lot of the older teams of studios who got acquired getting their retirement bags.
Between the lure of tech and the bags, we saw a massive drain of technical talent in games during this period.
AI has deeply accelerated this; some of the absolute best technologists today, who would have been working that tip of the spear in games in the 90s or 00s, are paid 10x what they get in games if they work for OpenAI, Meta, etc.
Thus they never go into games.
And so you have a massive hollowing out of the technology core of games. In fact that which remains is concentrated in only a handful of companies, of which Epic Games is one.
why are game developers a full year behind regular tech devs? maybe more
you are supposed to be the nerds pushing technology to the limits and edge to make something new
anti AI? anti computer helps us make insane things never seen before faster?
a lost generation truly
I’ve met some of the new devs unburdened by the industry, they will probably take the ENTIRE pie in the next few years
their vibe coded demos are more fun than the last 10 years of w/e hand coded slop has been sloshing around























