Knowledge catalogue
Future jobs will prioritize adaptability and creativity over routine task execution, with emphasis on complex problem-framing skills. This reflects how automation and AI are shifting labor demands tow
Francois Chollet discusses how careful observation of ARC-AGI benchmark performance can enable early predictions about AI system capabilities and progress. The post likely highlights patterns or trend
Francois Chollet discusses how current workflows are increasingly incorporating Large Reasoning Models (LRMs) as control systems that direct symbolic programs and tools, representing a pragmatic but i
Eventually, much of AI will converge towards intuition-guided symbolic world modeling, i.e. deep learning-guided program synthesis. It is inevitable. Symbolic modeling lets a system construct a compac
François Chollet observed that all leading contenders on the ARC-AGI-3 benchmark employ a similar methodological approach, suggesting a convergence in techniques for solving abstract reasoning tasks.
ARC-AGI-3 is built different, it has dumbfounded almost all regular attempts so far because it's so much harder than anything that came before. It has no rules, it's agentic and has no explicit goals,
Cross-agent feedback loops are incredibly effective -- for a reason. Check out what @leon2mcp and team at @Bloome_im are building in this space: http://bloome.im Bloome lets you pull Claude, ChatGPT,
On the pod: 'Constrained Adaptive Rejection Sampling' with @ucsd_cse professor @lorisdanto. Hear how symbolic AI experts have navigated the LLM era and why the future of AI code generation depends on
François Chollet argues that the current wave of AI technology will not cause mass unemployment and predicts its impact on the labor market will be minimal. The post likely discusses economic and labo
This post by Keras creator François Chollet appears to reference a new development or tool intended to improve the quality of knowledge base entries or documentation. Without access to the specific co
François Chollet argues that art and science elevate humanity through the creative and discovery processes themselves, rather than through their final outputs or products. He emphasizes that the trans
A good chunk of Tokyo is also reclaimed from the bay, a process that continues to this day but has slowed down significantly (peak was in the 1960s-1970s alongside other major infrastructure buildups)
Autonomy isn't the ability to act without human supervision. It's the ability to *learn* without human bottlenecks in the process. A system that is fully dependent on human training data and RL enviro
If you wanted to do the same in SF, you could start by extending Treasure Island. Obviously the value of that new land would be considerably less than in SF proper. Perhaps 10x less. It would be econo
If your benchmark relies on a static dataset or sampling from a static distribution densely known at training time, then it is fundamentally measuring memorization/retrieval. Which might be fine if yo
This post discusses Tokyo Bay's land reclamation practices, specifically explaining why initial reclamation projects are constructed as isolated islands rather than connected to existing land—a strate
Agentic coding forces you to design clean interfaces and document them well. An agent cannot read the implicit mental model shared by your engineering team, it can only read your API contracts and doc
Francois Chollet argues that a software engineer's true value lies not in writing complex or clever code, but in their ability to protect the codebase from degradation, technical debt, and poor practi
When the cost of execution drops, the value of taste, strategy, and architectural vision skyrockets. Previously, you were spending most of your cognitive budget on the micro. Now you are free to focus
Edge cases and failure modes reveal the fundamental boundaries and constraints of complex systems more effectively than typical operations, making them valuable for understanding system behavior and l
The most complex phenomena arise from scalable recombination of very simple rules. Whether it's galaxies, chips, or neural networks, if you find the right primitive building blocks, the complexity tak
This is the strongest ARC-AGI-2 performance to date by an open-source model. GLM-5.2 from @Zai_org on ARC-AGI (Verified) - ARC-AGI-2: 22.8%, 0.25 - ARC-AGI-1: 77.0%, 0.19 Performance is comparable wit
AI in 2040 will not be built on the stack we are using today. It will be much closer to optimal. The current stack has 3-4 orders of magnitude of data inefficiency and 4-5 orders of magnitude of compu
Francois Chollet presents a framework for understanding different approaches to token usage in AI models: casual users maximize tokens for flexibility, competitive users minimize tokens for efficiency
In software, complexity is a tax you pay on every future change. You might think, 'as long as it works, I'm good, I don't care about aesthetics', but elegant code is about maintainability, not aesthet
This post likely explores the concept that maps don't merely represent territory passively, but actively influence how we perceive, organize, and interact with physical space—a reversal of the traditi
Market efficiency is a myth. Markets are made of people, who are irrational both individually and in aggregate. Maybe if human irrationality were completely random, it might average out to a rational
François Chollet announced that members of the Keras team would be attending the AI Systems DevLabs event in Sunnyvale and invited people to meet them there. This post indicates a scheduled appearance
With agentic coding, complexity compounds in a mechanical way: unnecessary code ends up in the codebase, moves to the context window, degrades the model's reasoning abilities, leads to more unnecessar
A company is not its share price; it's possible for a company to execute exceptionally well while its share price declines, much like it's possible for a company in terminal decline to see its share p
Chollet draws an analogy between visual recursion and self-referential AI systems, suggesting that just as mirrors facing each other create a false sense of infinite depth, a prediction machine analyz
Adobe has integrated AI capabilities into its software to improve user accessibility for novices, which has significantly boosted adoption of its freemium offerings. This approach demonstrates how AI-
Adobe hit a record 6.62 billion in Q2 revenue (up 13% YoY) while non-GAAP EPS jumped 18% to 5.96. Its net margins are at 36%, close to an all-time high. They are absorbing the compute costs of generat
It seems almost too dumb to be true, but apparently the literal belief of SaaS bears is 'all software is a 0 because Claude can one-shot these apps' Just staggering levels of short-sightedness in that
Programming is fundamentally about managing complexity through abstraction layers rather than merely writing code, analogous to how music transcends its written notation. This perspective, shared by A
The market is treating Adobe like a legacy software company in terminal decline. Yet the actual data shows it's one of the biggest beneficiaries of the rise of GenAI. In fact, it's one of the top 5 mo
Their AI-first ARR tripled year-over-year to surpass 500 million. Very few enterprise software companies are reporting this level of direct, paid AI adoption. The breakout driver is Firefly, now at 30
TL;DR: Adobe is currently the most profitable it has ever been, and it is using AI to accelerating its adoption and earning growth (now 13%, up from 10-11% last year). For all the talk about 'Adobe is
To be clear: 1. No it can't. I've used Fable while it was available, it was a good model but still less than 1% of the way there. 2. If it could, that fact would generally benefit SaaS companies, not
Francois Chollet likely discusses why books are exceptionally valuable or 'overpowered' as learning and knowledge resources, possibly contrasting their effectiveness against other media or modern alte
MaineCoon is the first video model that focuses on social interactions: facial expressions, emotions, fluid conversation, audio-lip sync, etc. Really impressive inference specs: 22B params, 47.5 FPS o
This post from AI researcher François Chollet discusses the psychological principle that initiating a task requires the most effort (activation energy), while momentum carries you through the remainde
The more you embrace AI, the more you need SaaS. This is not obvious to armchair market analysts who love disruption narratives, but it is obvious to people actually running companies. Levie now uses
This post by François Chollet, creator of Keras and AI researcher at Google, likely discusses the iterative learning principle of 'pray, read, re-read' (Ora, lege, relege), possibly applying it as a m
Some considerations that many folks seem not to get: 1. It can be a bubble even if the tech works. (For instance, if the tech doesn't have a high-demand use case.) 2. It can be a bubble even if the te
A French engineer who lives quietly in Paris has spent 30 years writing software that the entire internet now runs on without knowing his name. He wrote the code that streams every YouTube video, ever
I wrote my first neural networks in pure C, then in Matlab, then in NumPy, before eventually upgrading to Theano. Since then I have seen and tried pretty much every NN framework ever developed. Some a
Code volume is not a reliable metric for measuring developer productivity, as writing more lines of code does not necessarily correlate with delivering more value or solving problems more effectively.
Knowledge scaling—increasing the volume of learned information—provides reliable performance on familiar tasks but limited flexibility when facing novel problems. Intelligence, by contrast, enables ad
Anthropic Opus 4.8 is new SOTA on ARC-AGI-3 Score: 1.5%, ~$10K ARC-AGI-3 analysis notes: * Opus 4.8 read the environment an abstraction *above* Opus 4.7, as objects & systems, not pictures * Opus 4.8
Francois Chollet's post likely expresses a philosophical perspective on existential risk or civilizational decline, suggesting that humanity's downfall would be precipitated by a loss of human values,
This post likely references the popular internet trend where people ask others if they've thought about the Roman Empire today, which became a viral meme highlighting how frequently some people contem
Einstein reflects on his creative process, asserting that language plays no significant role in his mechanical thinking and invention, suggesting that his intellectual work occurs through non-linguist
Creativity often thrives within limitations rather than unlimited freedom, as constraints force innovative problem-solving and focused thinking. This insight from AI researcher François Chollet sugges
Developer productivity is hard to manage. Uber’s COO has said that it’s getting “harder to justify” its AI costs because there was no way to show a link between AI spend and any meaningful increase in
Thinking of AI as a productivity booster for prior workflows is the wrong framing. Like all of the previous waves of computerization/softwarization, AI is a tool that lets you do new things in new way
This statement from AI researcher François Chollet suggests that the ability to learn something genuinely novel demonstrates a fundamental learning capacity that generalizes across all domains. The cl
We saw our first meaningful jump in the ARC-AGI-3 competition today @tufalabs went from 0.68% > 1.17% My notes: - .68% is the score of the best template (which is why so many people have this score) -
Francois Chollet reflects on the frequency of his mistakes and incorrect predictions, likely discussing humility in scientific work and the importance of intellectual openness in AI research and devel
Francois Chollet observes that AI systems which always affirm user correctness without nuance or disagreement reduce his confidence in their reliability. This reflects a concern that uncritical agreem