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[Claude @claudeai]

Introducing Claude Opus 4.8: it builds on Opus 4.7 with sharper judgment, more honesty about its own progress, and the ability to work independently for longer than its predecessors.

Available today at the same price.

[Predictive Hacks @predictivehacks]

@Real_JimmyGreen Ο Ναν;

[Predictive Hacks @predictivehacks]

@JaronBgame 🧳🧳🧳

[Predictive Hacks @predictivehacks]

@Eurohoopsnet Keep Nunn with 10 turnovers per game

[Claude @claudeai]

Claude for Excel, PowerPoint, and Word are now generally available, and Claude for Outlook is in public beta.

As Claude moves between your Microsoft apps, it carries the full context of your conversation.

[OpenAI @OpenAI]

Introducing GPT-5.5

A new class of intelligence for real work and powering agents, built to understand complex goals, use tools, check its work, and carry more tasks through to completion. It marks a new way of getting computer work done.

Now available in ChatGPT and Codex.

[Andrej Karpathy @karpathy]

Judging by my tl there is a growing gap in understanding of AI capability.

The first issue I think is around recency and tier of use. I think a lot of people tried the free tier of ChatGPT somewhere last year and allowed it to inform their views on AI a little too much. This is a group of reactions laughing at various quirks of the models, hallucinations, etc. Yes I also saw the viral videos of OpenAI's Advanced Voice mode fumbling simple queries like "should I drive or walk to the carwash". The thing is that these free and old/deprecated models don't reflect the capability in the latest round of state of the art agentic models of this year, especially OpenAI Codex and Claude Code.

But that brings me to the second issue. Even if people paid $200/month to use the state of the art models, a lot of the capabilities are relatively "peaky" in highly technical areas. Typical queries around search, writing, advice, etc. are *not* the domain that has made the most noticeable and dramatic strides in capability. Partly, this is due to the technical details of reinforcement learning and its use of verifiable rewards. But partly, it's also because these use cases are not sufficiently prioritized by the companies in their hillclimbing because they don't lead to as much $$$ value. The goldmines are elsewhere, and the focus comes along.

So that brings me to the second group of people, who *both* 1) pay for and use the state of the art frontier agentic models (OpenAI Codex / Claude Code) and 2) do so professionally in technical domains like programming, math and research. This group of people is subject to the highest amount of "AI Psychosis" because the recent improvements in these domains as of this year have been nothing short of staggering. When you hand a computer terminal to one of these models, you can now watch them melt programming problems that you'd normally expect to take days/weeks of work. It's this second group of people that assigns a much greater gravity to the capabilities, their slope, and various cyber-related repercussions.

TLDR the people in these two groups are speaking past each other. It really is simultaneously the case that OpenAI's free and I think slightly orphaned (?) "Advanced Voice Mode" will fumble the dumbest questions in your Instagram's reels and *at the same time*, OpenAI's highest-tier and paid Codex model will go off for 1 hour to coherently restructure an entire code base, or find and exploit vulnerabilities in computer systems. This part really works and has made dramatic strides because 2 properties: 1) these domains offer explicit reward functions that are verifiable meaning they are easily amenable to reinforcement learning training (e.g. unit tests passed yes or no, in contrast to writing, which is much harder to explicitly judge), but also 2) they are a lot more valuable in b2b settings, meaning that the biggest fraction of the team is focused on improving them. So here we are.

[Predictive Hacks @predictivehacks]

I just published Building Agentic Workflows with OpenAI SDK https://t.co/BJi0T5IyX0

[Predictive Hacks @predictivehacks]

@JaronBgame He cannot play hedge out :)

[Predictive Hacks @predictivehacks]

@Giannis_bab2005 Στο σύγχρονο μπάσκετ δεν νοείται γκαρντ χωρίς τρίποντο. Πόσο μάλλον όταν είσαι 1.75μ και δεν μπορείς να βάλεις ούτε τα ελεύθερα

[Predictive Hacks @predictivehacks]

@Demetris1980 Κωστακουμπο >> Ντίνος

[Predictive Hacks @predictivehacks]

@Spyros21833575 Μήπως τελικά υπάρχει πρόβλημα φυσικής κατάστασης είτε λόγω κακής προπόνησης ή υπερπροπόνησης. Βλέπεις ότι δεν μπορούν να παίξουν δυο συνεχόμενα παιχνίδια σε υψηλή ένταση. Ο Φαρίντ ήρθε φρέσκος, έπαιξε 4 παιχνίδια και μετά κάηκε. Τώρα που δεν έπαιξε στο κύπελλο είχε πάλι ενεργεια

[Predictive Hacks @predictivehacks]

@Nick_in_ABZ Χάνεις τα αμυντικά ριμπάουντ και τρως τριποντα

[Predictive Hacks @predictivehacks]

@Nick_in_ABZ Έτσι όπως πάει θα είσαι εκτός play in

[Predictive Hacks @predictivehacks]

@Spyros21833575 Δεν παίρνει ριμπάουντ, δεν βγάζει ασιστ, χειρότερος από κώνο στην άμυνα

[Predictive Hacks @predictivehacks]

@Demetris1980 Από που προκύπτει ότι ο Οσμαν είναι το καλύτερο τριάρι;

[Predictive Hacks @predictivehacks]

@Spyros21833575 Είμαστε σίγουροι ότι έχει γίνει προσφορά στον NHD;

[Predictive Hacks @predictivehacks]

@EuroLeague @EvanFourmizz @Moto @Olympiacos_BC

[Predictive Hacks @predictivehacks]

@Themosquito1908 @Alekkan4 Είχε την ευκαιρία με Tyrique και κρατησε τον Ομερ για DNP

[Predictive Hacks @predictivehacks]

EuroLeague Fantasy nuggets 📊🏀

• Best Points – Credits value: Milutinov
• Highest chance to beat his credits: TLC
• Best Sharpe ratio: TLC
• Best Sortino ratio: TLC
• Most likely to go over 20 pts: Vezenkov
• Most likely to go over 30 pts: Wright IV

#EuroLeagueFantasy