Thomas Bloom

@thomasfbloom

Royal Society University Research Fellow at the University of Manchester. Mathematician and owner of https://t.co/SWVqqnq9hn. He/him/his.

5 382Followers

96Following

1 297Posts total

297.8KViews on collected posts

Neueste Beiträge

Thomas Bloom@thomasfbloom5 Sep

@thomasfbloom Widely known? Maybe to people with contacts at the AI companies, not by the actual mathematical community. It's encouraging that people that used to be very AI-friendly like Thomas or Terry Tao are finally realizing the huge dangers involved 7.3K views · 40 likes · 0 reposts · 4 replies Open on X →

Thomas Bloom@thomasfbloom5 Sep

Is this a good policy? I'm genuinely unsure. Some days it feels like the best of a bunch of bad options, other days like the worst. Interested to hear opinions of others! 7/ 10.9K views · 168 likes · 1 reposts · 11 replies Open on X →

Thomas Bloom@thomasfbloom5 Sep

Yet alternatives are also problematic - e.g. if they release floods of unverified AI-generated PDFs proving big conjectures. These will be papers that likely never go to peer review or publication, and can be field-killers, if there's no incentive for people to continue work. 5/ 13.6K views · 159 likes · 2 reposts · 4 replies Open on X →

Thomas Bloom@thomasfbloom5 Sep

The current policy of OpenAI appears to be 'we've demonstrated that our AI can prove interesting stuff; now we'll let individuals explore for themselves, so the results come out at a slower pace, to not overwhelm, even though we've already done the proofs ourselves'. 6/ 12K views · 173 likes · 3 reposts · 4 replies Open on X →

Thomas Bloom@thomasfbloom5 Sep

This situation is obviously discouraging for working mathematicians. Should one spend a long time thinking about a conjecture, if one suspects that there is a full formalised proof gathering dust in the servers of OpenAI/Anthropic? 4/ 17.8K views · 242 likes · 6 reposts · 5 replies Open on X →

Thomas Bloom@thomasfbloom5 Sep

This is especially true of results with less mass appeal - there may be a few mathematicians who have devoted years to a conjecture, and care a lot about a solution, but otherwise the news has little impact, and might be mainly negative to those mathematicians. 3/ 16.2K views · 171 likes · 1 reposts · 1 replies Open on X →

Thomas Bloom@thomasfbloom5 Sep

Some of these (e.g. bounded gaps between primes) are eventually released when the timing is convenient from a PR perspective. But now that the AI companies have demonstrated they can do interesting maths, their incentives drop off. 2/ 18.1K views · 224 likes · 1 reposts · 1 replies Open on X →

Thomas Bloom@thomasfbloom5 Sep

It's now widely known that, along with the many big results announced, both OpenAI and Anthropic have many other results proved by their internal models that they have not released. Is this a good or bad thing? 1/ 201.8K views · 636 likes · 38 reposts · 31 replies Open on X →

Im Vergleich zu Konten gleicher Größe

8 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse under 10K Follower. genau im Median seiner Follower-Klasse.

Medianaufrufe14 904dieses Konto4 175Median für under 10K

Reichweite, %276.91%dieses Konto250.82%Median für under 10K

Interaktion, %1.24%dieses Konto1.41%Median für under 10K

Kennzahl	Dieses Konto	Median für under 10K	Verhältnis
Medianaufrufe pro Beitrag	14 904	4 175	3.57×
Reichweite (Aufrufe ÷ Follower)	2.8× audience	2.5× audience	1.10×
Interaktionsrate	1.24%	1.41%	0.88×

Weitere Konten dieser Größe → Mit einem anderen Konto vergleichen → Wie diese Vergleichswerte entstehen →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

201.8K5 Sep

18.1K

16.2K

17.8K

12K

13.6K

10.9K

7.3K

Last 8 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.36%5 Sep

1.25%

1.07%

1.42%

1.51%

1.22%

1.64%

0.60%

Reactions — likes, reposts, replies and quotes — divided by views. Median for under 10K accounts is 1.41%.

What the audience does

Likes83.8%1 813 in total

Reposts2.4%52 in total

Replies2.8%61 in total

Quotes1.0%21 in total

Bookmarks10.0%217 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Neueste Beiträge

Im Vergleich zu Konten gleicher Größe

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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